Deprecated (16384): The ArrayAccess methods will be removed in 4.0.0.Use getParam(), getData() and getQuery() instead. - /home/brlfuser/public_html/src/Controller/ArtileDetailController.php, line: 73 You can disable deprecation warnings by setting `Error.errorLevel` to `E_ALL & ~E_USER_DEPRECATED` in your config/app.php. [CORE/src/Core/functions.php, line 311]Code Context
trigger_error($message, E_USER_DEPRECATED);
}
$message = 'The ArrayAccess methods will be removed in 4.0.0.Use getParam(), getData() and getQuery() instead. - /home/brlfuser/public_html/src/Controller/ArtileDetailController.php, line: 73 You can disable deprecation warnings by setting `Error.errorLevel` to `E_ALL & ~E_USER_DEPRECATED` in your config/app.php.' $stackFrame = (int) 1 $trace = [ (int) 0 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/ServerRequest.php', 'line' => (int) 2421, 'function' => 'deprecationWarning', 'args' => [ (int) 0 => 'The ArrayAccess methods will be removed in 4.0.0.Use getParam(), getData() and getQuery() instead.' ] ], (int) 1 => [ 'file' => '/home/brlfuser/public_html/src/Controller/ArtileDetailController.php', 'line' => (int) 73, 'function' => 'offsetGet', 'class' => 'Cake\Http\ServerRequest', 'object' => object(Cake\Http\ServerRequest) {}, 'type' => '->', 'args' => [ (int) 0 => 'catslug' ] ], (int) 2 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Controller/Controller.php', 'line' => (int) 610, 'function' => 'printArticle', 'class' => 'App\Controller\ArtileDetailController', 'object' => object(App\Controller\ArtileDetailController) {}, 'type' => '->', 'args' => [] ], (int) 3 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/ActionDispatcher.php', 'line' => (int) 120, 'function' => 'invokeAction', 'class' => 'Cake\Controller\Controller', 'object' => object(App\Controller\ArtileDetailController) {}, 'type' => '->', 'args' => [] ], (int) 4 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/ActionDispatcher.php', 'line' => (int) 94, 'function' => '_invoke', 'class' => 'Cake\Http\ActionDispatcher', 'object' => object(Cake\Http\ActionDispatcher) {}, 'type' => '->', 'args' => [ (int) 0 => object(App\Controller\ArtileDetailController) {} ] ], (int) 5 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/BaseApplication.php', 'line' => (int) 235, 'function' => 'dispatch', 'class' => 'Cake\Http\ActionDispatcher', 'object' => object(Cake\Http\ActionDispatcher) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {} ] ], (int) 6 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/Runner.php', 'line' => (int) 65, 'function' => '__invoke', 'class' => 'Cake\Http\BaseApplication', 'object' => object(App\Application) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {}, (int) 2 => object(Cake\Http\Runner) {} ] ], (int) 7 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Routing/Middleware/RoutingMiddleware.php', 'line' => (int) 162, 'function' => '__invoke', 'class' => 'Cake\Http\Runner', 'object' => object(Cake\Http\Runner) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {} ] ], (int) 8 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/Runner.php', 'line' => (int) 65, 'function' => '__invoke', 'class' => 'Cake\Routing\Middleware\RoutingMiddleware', 'object' => object(Cake\Routing\Middleware\RoutingMiddleware) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {}, (int) 2 => object(Cake\Http\Runner) {} ] ], (int) 9 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Routing/Middleware/AssetMiddleware.php', 'line' => (int) 88, 'function' => '__invoke', 'class' => 'Cake\Http\Runner', 'object' => object(Cake\Http\Runner) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {} ] ], (int) 10 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/Runner.php', 'line' => (int) 65, 'function' => '__invoke', 'class' => 'Cake\Routing\Middleware\AssetMiddleware', 'object' => object(Cake\Routing\Middleware\AssetMiddleware) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {}, (int) 2 => object(Cake\Http\Runner) {} ] ], (int) 11 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Error/Middleware/ErrorHandlerMiddleware.php', 'line' => (int) 96, 'function' => '__invoke', 'class' => 'Cake\Http\Runner', 'object' => object(Cake\Http\Runner) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {} ] ], (int) 12 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/Runner.php', 'line' => (int) 65, 'function' => '__invoke', 'class' => 'Cake\Error\Middleware\ErrorHandlerMiddleware', 'object' => object(Cake\Error\Middleware\ErrorHandlerMiddleware) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {}, (int) 2 => object(Cake\Http\Runner) {} ] ], (int) 13 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/Runner.php', 'line' => (int) 51, 'function' => '__invoke', 'class' => 'Cake\Http\Runner', 'object' => object(Cake\Http\Runner) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {} ] ], (int) 14 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/Server.php', 'line' => (int) 98, 'function' => 'run', 'class' => 'Cake\Http\Runner', 'object' => object(Cake\Http\Runner) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\MiddlewareQueue) {}, (int) 1 => object(Cake\Http\ServerRequest) {}, (int) 2 => object(Cake\Http\Response) {} ] ], (int) 15 => [ 'file' => '/home/brlfuser/public_html/webroot/index.php', 'line' => (int) 39, 'function' => 'run', 'class' => 'Cake\Http\Server', 'object' => object(Cake\Http\Server) {}, 'type' => '->', 'args' => [] ] ] $frame = [ 'file' => '/home/brlfuser/public_html/src/Controller/ArtileDetailController.php', 'line' => (int) 73, 'function' => 'offsetGet', 'class' => 'Cake\Http\ServerRequest', 'object' => object(Cake\Http\ServerRequest) { trustProxy => false [protected] params => [ [maximum depth reached] ] [protected] data => [[maximum depth reached]] [protected] query => [[maximum depth reached]] [protected] cookies => [ [maximum depth reached] ] [protected] _environment => [ [maximum depth reached] ] [protected] url => 'latest-news-updates/a-toolkit-to-think-local-soumya-swaminathan-lalit-dandona-4683468/print' [protected] base => '' [protected] webroot => '/' [protected] here => '/latest-news-updates/a-toolkit-to-think-local-soumya-swaminathan-lalit-dandona-4683468/print' [protected] trustedProxies => [[maximum depth reached]] [protected] _input => null [protected] _detectors => [ [maximum depth reached] ] [protected] _detectorCache => [ [maximum depth reached] ] [protected] stream => object(Zend\Diactoros\PhpInputStream) {} [protected] uri => object(Zend\Diactoros\Uri) {} [protected] session => object(Cake\Http\Session) {} [protected] attributes => [[maximum depth reached]] [protected] emulatedAttributes => [ [maximum depth reached] ] [protected] uploadedFiles => [[maximum depth reached]] [protected] protocol => null [protected] requestTarget => null [private] deprecatedProperties => [ [maximum depth reached] ] }, 'type' => '->', 'args' => [ (int) 0 => 'catslug' ] ]deprecationWarning - CORE/src/Core/functions.php, line 311 Cake\Http\ServerRequest::offsetGet() - CORE/src/Http/ServerRequest.php, line 2421 App\Controller\ArtileDetailController::printArticle() - APP/Controller/ArtileDetailController.php, line 73 Cake\Controller\Controller::invokeAction() - CORE/src/Controller/Controller.php, line 610 Cake\Http\ActionDispatcher::_invoke() - CORE/src/Http/ActionDispatcher.php, line 120 Cake\Http\ActionDispatcher::dispatch() - CORE/src/Http/ActionDispatcher.php, line 94 Cake\Http\BaseApplication::__invoke() - CORE/src/Http/BaseApplication.php, line 235 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Routing\Middleware\RoutingMiddleware::__invoke() - CORE/src/Routing/Middleware/RoutingMiddleware.php, line 162 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Routing\Middleware\AssetMiddleware::__invoke() - CORE/src/Routing/Middleware/AssetMiddleware.php, line 88 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Error\Middleware\ErrorHandlerMiddleware::__invoke() - CORE/src/Error/Middleware/ErrorHandlerMiddleware.php, line 96 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Http\Runner::run() - CORE/src/Http/Runner.php, line 51 Cake\Http\Server::run() - CORE/src/Http/Server.php, line 98
Deprecated (16384): The ArrayAccess methods will be removed in 4.0.0.Use getParam(), getData() and getQuery() instead. - /home/brlfuser/public_html/src/Controller/ArtileDetailController.php, line: 74 You can disable deprecation warnings by setting `Error.errorLevel` to `E_ALL & ~E_USER_DEPRECATED` in your config/app.php. [CORE/src/Core/functions.php, line 311]Code Context
trigger_error($message, E_USER_DEPRECATED);
}
$message = 'The ArrayAccess methods will be removed in 4.0.0.Use getParam(), getData() and getQuery() instead. - /home/brlfuser/public_html/src/Controller/ArtileDetailController.php, line: 74 You can disable deprecation warnings by setting `Error.errorLevel` to `E_ALL & ~E_USER_DEPRECATED` in your config/app.php.' $stackFrame = (int) 1 $trace = [ (int) 0 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/ServerRequest.php', 'line' => (int) 2421, 'function' => 'deprecationWarning', 'args' => [ (int) 0 => 'The ArrayAccess methods will be removed in 4.0.0.Use getParam(), getData() and getQuery() instead.' ] ], (int) 1 => [ 'file' => '/home/brlfuser/public_html/src/Controller/ArtileDetailController.php', 'line' => (int) 74, 'function' => 'offsetGet', 'class' => 'Cake\Http\ServerRequest', 'object' => object(Cake\Http\ServerRequest) {}, 'type' => '->', 'args' => [ (int) 0 => 'artileslug' ] ], (int) 2 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Controller/Controller.php', 'line' => (int) 610, 'function' => 'printArticle', 'class' => 'App\Controller\ArtileDetailController', 'object' => object(App\Controller\ArtileDetailController) {}, 'type' => '->', 'args' => [] ], (int) 3 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/ActionDispatcher.php', 'line' => (int) 120, 'function' => 'invokeAction', 'class' => 'Cake\Controller\Controller', 'object' => object(App\Controller\ArtileDetailController) {}, 'type' => '->', 'args' => [] ], (int) 4 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/ActionDispatcher.php', 'line' => (int) 94, 'function' => '_invoke', 'class' => 'Cake\Http\ActionDispatcher', 'object' => object(Cake\Http\ActionDispatcher) {}, 'type' => '->', 'args' => [ (int) 0 => object(App\Controller\ArtileDetailController) {} ] ], (int) 5 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/BaseApplication.php', 'line' => (int) 235, 'function' => 'dispatch', 'class' => 'Cake\Http\ActionDispatcher', 'object' => object(Cake\Http\ActionDispatcher) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {} ] ], (int) 6 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/Runner.php', 'line' => (int) 65, 'function' => '__invoke', 'class' => 'Cake\Http\BaseApplication', 'object' => object(App\Application) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {}, (int) 2 => object(Cake\Http\Runner) {} ] ], (int) 7 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Routing/Middleware/RoutingMiddleware.php', 'line' => (int) 162, 'function' => '__invoke', 'class' => 'Cake\Http\Runner', 'object' => object(Cake\Http\Runner) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {} ] ], (int) 8 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/Runner.php', 'line' => (int) 65, 'function' => '__invoke', 'class' => 'Cake\Routing\Middleware\RoutingMiddleware', 'object' => object(Cake\Routing\Middleware\RoutingMiddleware) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {}, (int) 2 => object(Cake\Http\Runner) {} ] ], (int) 9 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Routing/Middleware/AssetMiddleware.php', 'line' => (int) 88, 'function' => '__invoke', 'class' => 'Cake\Http\Runner', 'object' => object(Cake\Http\Runner) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {} ] ], (int) 10 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/Runner.php', 'line' => (int) 65, 'function' => '__invoke', 'class' => 'Cake\Routing\Middleware\AssetMiddleware', 'object' => object(Cake\Routing\Middleware\AssetMiddleware) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {}, (int) 2 => object(Cake\Http\Runner) {} ] ], (int) 11 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Error/Middleware/ErrorHandlerMiddleware.php', 'line' => (int) 96, 'function' => '__invoke', 'class' => 'Cake\Http\Runner', 'object' => object(Cake\Http\Runner) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {} ] ], (int) 12 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/Runner.php', 'line' => (int) 65, 'function' => '__invoke', 'class' => 'Cake\Error\Middleware\ErrorHandlerMiddleware', 'object' => object(Cake\Error\Middleware\ErrorHandlerMiddleware) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {}, (int) 2 => object(Cake\Http\Runner) {} ] ], (int) 13 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/Runner.php', 'line' => (int) 51, 'function' => '__invoke', 'class' => 'Cake\Http\Runner', 'object' => object(Cake\Http\Runner) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {} ] ], (int) 14 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/Server.php', 'line' => (int) 98, 'function' => 'run', 'class' => 'Cake\Http\Runner', 'object' => object(Cake\Http\Runner) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\MiddlewareQueue) {}, (int) 1 => object(Cake\Http\ServerRequest) {}, (int) 2 => object(Cake\Http\Response) {} ] ], (int) 15 => [ 'file' => '/home/brlfuser/public_html/webroot/index.php', 'line' => (int) 39, 'function' => 'run', 'class' => 'Cake\Http\Server', 'object' => object(Cake\Http\Server) {}, 'type' => '->', 'args' => [] ] ] $frame = [ 'file' => '/home/brlfuser/public_html/src/Controller/ArtileDetailController.php', 'line' => (int) 74, 'function' => 'offsetGet', 'class' => 'Cake\Http\ServerRequest', 'object' => object(Cake\Http\ServerRequest) { trustProxy => false [protected] params => [ [maximum depth reached] ] [protected] data => [[maximum depth reached]] [protected] query => [[maximum depth reached]] [protected] cookies => [ [maximum depth reached] ] [protected] _environment => [ [maximum depth reached] ] [protected] url => 'latest-news-updates/a-toolkit-to-think-local-soumya-swaminathan-lalit-dandona-4683468/print' [protected] base => '' [protected] webroot => '/' [protected] here => '/latest-news-updates/a-toolkit-to-think-local-soumya-swaminathan-lalit-dandona-4683468/print' [protected] trustedProxies => [[maximum depth reached]] [protected] _input => null [protected] _detectors => [ [maximum depth reached] ] [protected] _detectorCache => [ [maximum depth reached] ] [protected] stream => object(Zend\Diactoros\PhpInputStream) {} [protected] uri => object(Zend\Diactoros\Uri) {} [protected] session => object(Cake\Http\Session) {} [protected] attributes => [[maximum depth reached]] [protected] emulatedAttributes => [ [maximum depth reached] ] [protected] uploadedFiles => [[maximum depth reached]] [protected] protocol => null [protected] requestTarget => null [private] deprecatedProperties => [ [maximum depth reached] ] }, 'type' => '->', 'args' => [ (int) 0 => 'artileslug' ] ]deprecationWarning - CORE/src/Core/functions.php, line 311 Cake\Http\ServerRequest::offsetGet() - CORE/src/Http/ServerRequest.php, line 2421 App\Controller\ArtileDetailController::printArticle() - APP/Controller/ArtileDetailController.php, line 74 Cake\Controller\Controller::invokeAction() - CORE/src/Controller/Controller.php, line 610 Cake\Http\ActionDispatcher::_invoke() - CORE/src/Http/ActionDispatcher.php, line 120 Cake\Http\ActionDispatcher::dispatch() - CORE/src/Http/ActionDispatcher.php, line 94 Cake\Http\BaseApplication::__invoke() - CORE/src/Http/BaseApplication.php, line 235 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Routing\Middleware\RoutingMiddleware::__invoke() - CORE/src/Routing/Middleware/RoutingMiddleware.php, line 162 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Routing\Middleware\AssetMiddleware::__invoke() - CORE/src/Routing/Middleware/AssetMiddleware.php, line 88 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Error\Middleware\ErrorHandlerMiddleware::__invoke() - CORE/src/Error/Middleware/ErrorHandlerMiddleware.php, line 96 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Http\Runner::run() - CORE/src/Http/Runner.php, line 51 Cake\Http\Server::run() - CORE/src/Http/Server.php, line 98
Warning (512): Unable to emit headers. Headers sent in file=/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Error/Debugger.php line=853 [CORE/src/Http/ResponseEmitter.php, line 48]Code Contextif (Configure::read('debug')) {
trigger_error($message, E_USER_WARNING);
} else {
$response = object(Cake\Http\Response) { 'status' => (int) 200, 'contentType' => 'text/html', 'headers' => [ 'Content-Type' => [ [maximum depth reached] ] ], 'file' => null, 'fileRange' => [], 'cookies' => object(Cake\Http\Cookie\CookieCollection) {}, 'cacheDirectives' => [], 'body' => '<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> <html xmlns="http://www.w3.org/1999/xhtml"> <head> <link rel="canonical" href="https://im4change.in/<pre class="cake-error"><a href="javascript:void(0);" onclick="document.getElementById('cakeErr67ec50be5d69a-trace').style.display = (document.getElementById('cakeErr67ec50be5d69a-trace').style.display == 'none' ? '' : 'none');"><b>Notice</b> (8)</a>: Undefined variable: urlPrefix [<b>APP/Template/Layout/printlayout.ctp</b>, line <b>8</b>]<div id="cakeErr67ec50be5d69a-trace" class="cake-stack-trace" style="display: none;"><a href="javascript:void(0);" onclick="document.getElementById('cakeErr67ec50be5d69a-code').style.display = (document.getElementById('cakeErr67ec50be5d69a-code').style.display == 'none' ? '' : 'none')">Code</a> <a href="javascript:void(0);" onclick="document.getElementById('cakeErr67ec50be5d69a-context').style.display = (document.getElementById('cakeErr67ec50be5d69a-context').style.display == 'none' ? '' : 'none')">Context</a><pre id="cakeErr67ec50be5d69a-code" class="cake-code-dump" style="display: none;"><code><span style="color: #000000"><span style="color: #0000BB"></span><span style="color: #007700"><</span><span style="color: #0000BB">head</span><span style="color: #007700">> </span></span></code> <span class="code-highlight"><code><span style="color: #000000"> <link rel="canonical" href="<span style="color: #0000BB"><?php </span><span style="color: #007700">echo </span><span style="color: #0000BB">Configure</span><span style="color: #007700">::</span><span style="color: #0000BB">read</span><span style="color: #007700">(</span><span style="color: #DD0000">'SITE_URL'</span><span style="color: #007700">); </span><span style="color: #0000BB">?><?php </span><span style="color: #007700">echo </span><span style="color: #0000BB">$urlPrefix</span><span style="color: #007700">;</span><span style="color: #0000BB">?><?php </span><span style="color: #007700">echo </span><span style="color: #0000BB">$article_current</span><span style="color: #007700">-></span><span style="color: #0000BB">category</span><span style="color: #007700">-></span><span style="color: #0000BB">slug</span><span style="color: #007700">; </span><span style="color: #0000BB">?></span>/<span style="color: #0000BB"><?php </span><span style="color: #007700">echo </span><span style="color: #0000BB">$article_current</span><span style="color: #007700">-></span><span style="color: #0000BB">seo_url</span><span style="color: #007700">; </span><span style="color: #0000BB">?></span>.html"/> </span></code></span> <code><span style="color: #000000"><span style="color: #0000BB"> </span><span style="color: #007700"><</span><span style="color: #0000BB">meta http</span><span style="color: #007700">-</span><span style="color: #0000BB">equiv</span><span style="color: #007700">=</span><span style="color: #DD0000">"Content-Type" </span><span style="color: #0000BB">content</span><span style="color: #007700">=</span><span style="color: #DD0000">"text/html; charset=utf-8"</span><span style="color: #007700">/> </span></span></code></pre><pre id="cakeErr67ec50be5d69a-context" class="cake-context" style="display: none;">$viewFile = '/home/brlfuser/public_html/src/Template/Layout/printlayout.ctp' $dataForView = [ 'article_current' => object(App\Model\Entity\Article) { 'id' => (int) 35361, 'title' => 'A toolkit to think local -Soumya Swaminathan &amp; Lalit Dandona', 'subheading' => '', 'description' => '<div align="justify"> -The Hindu<br /> <br /> <em>The findings of the India State-Level Disease Burden Initiative will aid in decentralised health planning<br /> </em><br /> Policymakers in India need reliable disease burden data at subnational levels. Planning based on local trends can improve the health of populations more effectively. Till now, a comprehensive assessment of the diseases causing the most premature deaths and ill health in each State, the risk factors responsible for this burden and their time trends have not been available. To address this crucial knowledge gap, a team of over 250 scientists and others from around 100 institutions who are part of the India State-Level Disease Burden Initiative has analysed and described these trends for every State from 1990 to 2016. Its report was released by the Vice President of India, and a technical paper published in the journal Lancet recently.<br /> <br /> The findings of the study are based on analysis of data from all available sources. This includes vital registration, the sample registration system, large-scale national household surveys, other population-level surveys and cohort studies, disease surveillance data, disease programme data, administrative records of health services, disease registries, among others. The estimates were produced as part of the Global Burden of Disease Study 2016, which uses standardised methods in a unified framework. The key metric used to assess burden is disability-adjusted life years (DALY), which is the sum of the number of years of life lost due to premature death and a weighted measure of the years lived with disability due to a disease or an injury. This allows comparisons of health loss between diseases, risk factors, States, sexes, age groups, and over time.<br /> <br /> <em>Inequalities among States<br /> </em><br /> The per person disease burden, measured as DALY rate, has dropped in India by 36% from 1990 to 2016, but there are major inequalities among States with the per person DALY rate varying almost twofold between them. The burden of most infectious and childhood diseases has fallen, but the extent of this varies substantially across India. Diarrhoeal diseases, lower respiratory infections, iron-deficiency anaemia, neonatal disorders, and tuberculosis still continue to be major public health problems in many poorer northern States.<br /> <br /> The contribution of most major non-communicable disease categories to the total disease burden has increased in all States since 1990. These include cardiovascular diseases, diabetes, chronic respiratory diseases, mental health and neurological disorders, musculoskeletal disorders, cancers, and chronic kidney disease. The contribution of injuries &mdash; the leading ones being road injuries, suicides, and falls &mdash; to the total disease burden has also increased in most States since 1990.<br /> <br /> The continuing high burden of infectious and childhood diseases in poorer States along with the rising tide of non-communicable diseases and injuries poses a particularly ominous challenge for these States. Substantial increases in health spending by the government and expansion of suitable preventive and curative health services are necessary to prevent this potentially explosive situation. It is important to note that the State-specific DALY rates for many leading individual diseases varies five- to tenfold between States. Major differences are also observed for individual diseases between neighbouring States that are at similar levels of development. This points to the need for State-specific health planning instead of generic planning.<br /> <br /> Please <a href="http://www.thehindu.com/opinion/op-ed/a-toolkit-to-think-local/article20944947.ece">click here</a> to read more. <br /> </div>', 'credit_writer' => 'The Hindu, 27 November, 2017, http://www.thehindu.com/opinion/op-ed/a-toolkit-to-think-local/article20944947.ece', 'article_img' => '', 'article_img_thumb' => '', 'status' => (int) 1, 'show_on_home' => (int) 1, 'lang' => 'EN', 'category_id' => (int) 16, 'tag_keyword' => '', 'seo_url' => 'a-toolkit-to-think-local-soumya-swaminathan-lalit-dandona-4683468', 'meta_title' => null, 'meta_keywords' => null, 'meta_description' => null, 'noindex' => (int) 0, 'publish_date' => object(Cake\I18n\FrozenDate) {}, 'most_visit_section_id' => null, 'article_big_img' => null, 'liveid' => (int) 4683468, 'created' => object(Cake\I18n\FrozenTime) {}, 'modified' => object(Cake\I18n\FrozenTime) {}, 'edate' => '', 'tags' => [ [maximum depth reached] ], 'category' => object(App\Model\Entity\Category) {}, '[new]' => false, '[accessible]' => [ [maximum depth reached] ], '[dirty]' => [[maximum depth reached]], '[original]' => [[maximum depth reached]], '[virtual]' => [[maximum depth reached]], '[hasErrors]' => false, '[errors]' => [[maximum depth reached]], '[invalid]' => [[maximum depth reached]], '[repository]' => 'Articles' }, 'articleid' => (int) 35361, 'metaTitle' => 'LATEST NEWS UPDATES | A toolkit to think local -Soumya Swaminathan &amp; Lalit Dandona', 'metaKeywords' => 'Non-Communicable Diseases (NCDs),global burden of disease,Disability-Adjusted Life Years (DALY)', 'metaDesc' => ' -The Hindu The findings of the India State-Level Disease Burden Initiative will aid in decentralised health planning Policymakers in India need reliable disease burden data at subnational levels. Planning based on local trends can improve the health of populations more effectively. Till...', 'disp' => '<div align="justify">-The Hindu<br /><br /><em>The findings of the India State-Level Disease Burden Initiative will aid in decentralised health planning<br /></em><br />Policymakers in India need reliable disease burden data at subnational levels. Planning based on local trends can improve the health of populations more effectively. Till now, a comprehensive assessment of the diseases causing the most premature deaths and ill health in each State, the risk factors responsible for this burden and their time trends have not been available. To address this crucial knowledge gap, a team of over 250 scientists and others from around 100 institutions who are part of the India State-Level Disease Burden Initiative has analysed and described these trends for every State from 1990 to 2016. Its report was released by the Vice President of India, and a technical paper published in the journal Lancet recently.<br /><br />The findings of the study are based on analysis of data from all available sources. This includes vital registration, the sample registration system, large-scale national household surveys, other population-level surveys and cohort studies, disease surveillance data, disease programme data, administrative records of health services, disease registries, among others. The estimates were produced as part of the Global Burden of Disease Study 2016, which uses standardised methods in a unified framework. The key metric used to assess burden is disability-adjusted life years (DALY), which is the sum of the number of years of life lost due to premature death and a weighted measure of the years lived with disability due to a disease or an injury. This allows comparisons of health loss between diseases, risk factors, States, sexes, age groups, and over time.<br /><br /><em>Inequalities among States<br /></em><br />The per person disease burden, measured as DALY rate, has dropped in India by 36% from 1990 to 2016, but there are major inequalities among States with the per person DALY rate varying almost twofold between them. The burden of most infectious and childhood diseases has fallen, but the extent of this varies substantially across India. Diarrhoeal diseases, lower respiratory infections, iron-deficiency anaemia, neonatal disorders, and tuberculosis still continue to be major public health problems in many poorer northern States.<br /><br />The contribution of most major non-communicable disease categories to the total disease burden has increased in all States since 1990. 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Major differences are also observed for individual diseases between neighbouring States that are at similar levels of development. This points to the need for State-specific health planning instead of generic planning.<br /><br />Please <a href="http://www.thehindu.com/opinion/op-ed/a-toolkit-to-think-local/article20944947.ece" title="http://www.thehindu.com/opinion/op-ed/a-toolkit-to-think-local/article20944947.ece">click here</a> to read more. <br /></div>', 'lang' => 'English', 'SITE_URL' => 'https://im4change.in/', 'site_title' => 'im4change', 'adminprix' => 'admin' ] $article_current = object(App\Model\Entity\Article) { 'id' => (int) 35361, 'title' => 'A toolkit to think local -Soumya Swaminathan &amp; Lalit Dandona', 'subheading' => '', 'description' => '<div align="justify"> -The Hindu<br /> <br /> <em>The findings of the India State-Level Disease Burden Initiative will aid in decentralised health planning<br /> </em><br /> Policymakers in India need reliable disease burden data at subnational levels. Planning based on local trends can improve the health of populations more effectively. Till now, a comprehensive assessment of the diseases causing the most premature deaths and ill health in each State, the risk factors responsible for this burden and their time trends have not been available. To address this crucial knowledge gap, a team of over 250 scientists and others from around 100 institutions who are part of the India State-Level Disease Burden Initiative has analysed and described these trends for every State from 1990 to 2016. Its report was released by the Vice President of India, and a technical paper published in the journal Lancet recently.<br /> <br /> The findings of the study are based on analysis of data from all available sources. This includes vital registration, the sample registration system, large-scale national household surveys, other population-level surveys and cohort studies, disease surveillance data, disease programme data, administrative records of health services, disease registries, among others. The estimates were produced as part of the Global Burden of Disease Study 2016, which uses standardised methods in a unified framework. The key metric used to assess burden is disability-adjusted life years (DALY), which is the sum of the number of years of life lost due to premature death and a weighted measure of the years lived with disability due to a disease or an injury. This allows comparisons of health loss between diseases, risk factors, States, sexes, age groups, and over time.<br /> <br /> <em>Inequalities among States<br /> </em><br /> The per person disease burden, measured as DALY rate, has dropped in India by 36% from 1990 to 2016, but there are major inequalities among States with the per person DALY rate varying almost twofold between them. The burden of most infectious and childhood diseases has fallen, but the extent of this varies substantially across India. 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Substantial increases in health spending by the government and expansion of suitable preventive and curative health services are necessary to prevent this potentially explosive situation. It is important to note that the State-specific DALY rates for many leading individual diseases varies five- to tenfold between States. Major differences are also observed for individual diseases between neighbouring States that are at similar levels of development. 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Its report was released by the Vice President of India, and a technical paper published in the journal Lancet recently.<br /><br />The findings of the study are based on analysis of data from all available sources. This includes vital registration, the sample registration system, large-scale national household surveys, other population-level surveys and cohort studies, disease surveillance data, disease programme data, administrative records of health services, disease registries, among others. The estimates were produced as part of the Global Burden of Disease Study 2016, which uses standardised methods in a unified framework. The key metric used to assess burden is disability-adjusted life years (DALY), which is the sum of the number of years of life lost due to premature death and a weighted measure of the years lived with disability due to a disease or an injury. This allows comparisons of health loss between diseases, risk factors, States, sexes, age groups, and over time.<br /><br /><em>Inequalities among States<br /></em><br />The per person disease burden, measured as DALY rate, has dropped in India by 36% from 1990 to 2016, but there are major inequalities among States with the per person DALY rate varying almost twofold between them. The burden of most infectious and childhood diseases has fallen, but the extent of this varies substantially across India. Diarrhoeal diseases, lower respiratory infections, iron-deficiency anaemia, neonatal disorders, and tuberculosis still continue to be major public health problems in many poorer northern States.<br /><br />The contribution of most major non-communicable disease categories to the total disease burden has increased in all States since 1990. These include cardiovascular diseases, diabetes, chronic respiratory diseases, mental health and neurological disorders, musculoskeletal disorders, cancers, and chronic kidney disease. The contribution of injuries &mdash; the leading ones being road injuries, suicides, and falls &mdash; to the total disease burden has also increased in most States since 1990.<br /><br />The continuing high burden of infectious and childhood diseases in poorer States along with the rising tide of non-communicable diseases and injuries poses a particularly ominous challenge for these States. Substantial increases in health spending by the government and expansion of suitable preventive and curative health services are necessary to prevent this potentially explosive situation. It is important to note that the State-specific DALY rates for many leading individual diseases varies five- to tenfold between States. Major differences are also observed for individual diseases between neighbouring States that are at similar levels of development. This points to the need for State-specific health planning instead of generic planning.<br /><br />Please <a href="http://www.thehindu.com/opinion/op-ed/a-toolkit-to-think-local/article20944947.ece" title="http://www.thehindu.com/opinion/op-ed/a-toolkit-to-think-local/article20944947.ece">click here</a> to read more. <br /></div>' $lang = 'English' $SITE_URL = 'https://im4change.in/' $site_title = 'im4change' $adminprix = 'admin'</pre><pre class="stack-trace">include - APP/Template/Layout/printlayout.ctp, line 8 Cake\View\View::_evaluate() - CORE/src/View/View.php, line 1413 Cake\View\View::_render() - CORE/src/View/View.php, line 1374 Cake\View\View::renderLayout() - CORE/src/View/View.php, line 927 Cake\View\View::render() - CORE/src/View/View.php, line 885 Cake\Controller\Controller::render() - CORE/src/Controller/Controller.php, line 791 Cake\Http\ActionDispatcher::_invoke() - CORE/src/Http/ActionDispatcher.php, line 126 Cake\Http\ActionDispatcher::dispatch() - CORE/src/Http/ActionDispatcher.php, line 94 Cake\Http\BaseApplication::__invoke() - CORE/src/Http/BaseApplication.php, line 235 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Routing\Middleware\RoutingMiddleware::__invoke() - CORE/src/Routing/Middleware/RoutingMiddleware.php, line 162 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Routing\Middleware\AssetMiddleware::__invoke() - CORE/src/Routing/Middleware/AssetMiddleware.php, line 88 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Error\Middleware\ErrorHandlerMiddleware::__invoke() - CORE/src/Error/Middleware/ErrorHandlerMiddleware.php, line 96 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Http\Runner::run() - CORE/src/Http/Runner.php, line 51</pre></div></pre>latest-news-updates/a-toolkit-to-think-local-soumya-swaminathan-lalit-dandona-4683468.html"/> <meta http-equiv="Content-Type" content="text/html; charset=utf-8"/> <link href="https://im4change.in/css/control.css" rel="stylesheet" type="text/css" media="all"/> <title>LATEST NEWS UPDATES | A toolkit to think local -Soumya Swaminathan & Lalit Dandona | Im4change.org</title> <meta name="description" content=" -The Hindu The findings of the India State-Level Disease Burden Initiative will aid in decentralised health planning Policymakers in India need reliable disease burden data at subnational levels. Planning based on local trends can improve the health of populations more effectively. Till..."/> <script src="https://im4change.in/js/jquery-1.10.2.js"></script> <script type="text/javascript" src="https://im4change.in/js/jquery-migrate.min.js"></script> <script language="javascript" type="text/javascript"> $(document).ready(function () { var img = $("img")[0]; // Get my img elem var pic_real_width, pic_real_height; $("<img/>") // Make in memory copy of image to avoid css issues .attr("src", $(img).attr("src")) .load(function () { pic_real_width = this.width; // Note: $(this).width() will not pic_real_height = this.height; // work for in memory images. }); }); </script> <style type="text/css"> @media screen { div.divFooter { display: block; } } @media print { .printbutton { display: none !important; } } </style> </head> <body> <table cellpadding="0" cellspacing="0" border="0" width="98%" align="center"> <tr> <td class="top_bg"> <div class="divFooter"> <img src="https://im4change.in/images/logo1.jpg" height="59" border="0" alt="Resource centre on India's rural distress" style="padding-top:14px;"/> </div> </td> </tr> <tr> <td id="topspace"> </td> </tr> <tr id="topspace"> <td> </td> </tr> <tr> <td height="50" style="border-bottom:1px solid #000; padding-top:10px;" class="printbutton"> <form><input type="button" value=" Print this page " onclick="window.print();return false;"/></form> </td> </tr> <tr> <td width="100%"> <h1 class="news_headlines" style="font-style:normal"> <strong>A toolkit to think local -Soumya Swaminathan & Lalit Dandona</strong></h1> </td> </tr> <tr> <td width="100%" style="font-family:Arial, 'Segoe Script', 'Segoe UI', sans-serif, serif"><font size="3"> <div align="justify">-The Hindu<br /><br /><em>The findings of the India State-Level Disease Burden Initiative will aid in decentralised health planning<br /></em><br />Policymakers in India need reliable disease burden data at subnational levels. Planning based on local trends can improve the health of populations more effectively. Till now, a comprehensive assessment of the diseases causing the most premature deaths and ill health in each State, the risk factors responsible for this burden and their time trends have not been available. To address this crucial knowledge gap, a team of over 250 scientists and others from around 100 institutions who are part of the India State-Level Disease Burden Initiative has analysed and described these trends for every State from 1990 to 2016. Its report was released by the Vice President of India, and a technical paper published in the journal Lancet recently.<br /><br />The findings of the study are based on analysis of data from all available sources. This includes vital registration, the sample registration system, large-scale national household surveys, other population-level surveys and cohort studies, disease surveillance data, disease programme data, administrative records of health services, disease registries, among others. The estimates were produced as part of the Global Burden of Disease Study 2016, which uses standardised methods in a unified framework. The key metric used to assess burden is disability-adjusted life years (DALY), which is the sum of the number of years of life lost due to premature death and a weighted measure of the years lived with disability due to a disease or an injury. This allows comparisons of health loss between diseases, risk factors, States, sexes, age groups, and over time.<br /><br /><em>Inequalities among States<br /></em><br />The per person disease burden, measured as DALY rate, has dropped in India by 36% from 1990 to 2016, but there are major inequalities among States with the per person DALY rate varying almost twofold between them. The burden of most infectious and childhood diseases has fallen, but the extent of this varies substantially across India. Diarrhoeal diseases, lower respiratory infections, iron-deficiency anaemia, neonatal disorders, and tuberculosis still continue to be major public health problems in many poorer northern States.<br /><br />The contribution of most major non-communicable disease categories to the total disease burden has increased in all States since 1990. These include cardiovascular diseases, diabetes, chronic respiratory diseases, mental health and neurological disorders, musculoskeletal disorders, cancers, and chronic kidney disease. The contribution of injuries — the leading ones being road injuries, suicides, and falls — to the total disease burden has also increased in most States since 1990.<br /><br />The continuing high burden of infectious and childhood diseases in poorer States along with the rising tide of non-communicable diseases and injuries poses a particularly ominous challenge for these States. Substantial increases in health spending by the government and expansion of suitable preventive and curative health services are necessary to prevent this potentially explosive situation. It is important to note that the State-specific DALY rates for many leading individual diseases varies five- to tenfold between States. Major differences are also observed for individual diseases between neighbouring States that are at similar levels of development. This points to the need for State-specific health planning instead of generic planning.<br /><br />Please <a href="http://www.thehindu.com/opinion/op-ed/a-toolkit-to-think-local/article20944947.ece" title="http://www.thehindu.com/opinion/op-ed/a-toolkit-to-think-local/article20944947.ece">click here</a> to read more. <br /></div> </font> </td> </tr> <tr> <td> </td> </tr> <tr> <td height="50" style="border-top:1px solid #000; border-bottom:1px solid #000;padding-top:10px;"> <form><input type="button" value=" Print this page " onclick="window.print();return false;"/></form> </td> </tr> </table></body> </html>' } $maxBufferLength = (int) 8192 $file = '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Error/Debugger.php' $line = (int) 853 $message = 'Unable to emit headers. 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Planning based on local trends can improve the health of populations more effectively. Till now, a comprehensive assessment of the diseases causing the most premature deaths and ill health in each State, the risk factors responsible for this burden and their time trends have not been available. To address this crucial knowledge gap, a team of over 250 scientists and others from around 100 institutions who are part of the India State-Level Disease Burden Initiative has analysed and described these trends for every State from 1990 to 2016. Its report was released by the Vice President of India, and a technical paper published in the journal Lancet recently.<br /> <br /> The findings of the study are based on analysis of data from all available sources. This includes vital registration, the sample registration system, large-scale national household surveys, other population-level surveys and cohort studies, disease surveillance data, disease programme data, administrative records of health services, disease registries, among others. The estimates were produced as part of the Global Burden of Disease Study 2016, which uses standardised methods in a unified framework. The key metric used to assess burden is disability-adjusted life years (DALY), which is the sum of the number of years of life lost due to premature death and a weighted measure of the years lived with disability due to a disease or an injury. This allows comparisons of health loss between diseases, risk factors, States, sexes, age groups, and over time.<br /> <br /> <em>Inequalities among States<br /> </em><br /> The per person disease burden, measured as DALY rate, has dropped in India by 36% from 1990 to 2016, but there are major inequalities among States with the per person DALY rate varying almost twofold between them. The burden of most infectious and childhood diseases has fallen, but the extent of this varies substantially across India. Diarrhoeal diseases, lower respiratory infections, iron-deficiency anaemia, neonatal disorders, and tuberculosis still continue to be major public health problems in many poorer northern States.<br /> <br /> The contribution of most major non-communicable disease categories to the total disease burden has increased in all States since 1990. These include cardiovascular diseases, diabetes, chronic respiratory diseases, mental health and neurological disorders, musculoskeletal disorders, cancers, and chronic kidney disease. The contribution of injuries &mdash; the leading ones being road injuries, suicides, and falls &mdash; to the total disease burden has also increased in most States since 1990.<br /> <br /> The continuing high burden of infectious and childhood diseases in poorer States along with the rising tide of non-communicable diseases and injuries poses a particularly ominous challenge for these States. Substantial increases in health spending by the government and expansion of suitable preventive and curative health services are necessary to prevent this potentially explosive situation. It is important to note that the State-specific DALY rates for many leading individual diseases varies five- to tenfold between States. Major differences are also observed for individual diseases between neighbouring States that are at similar levels of development. This points to the need for State-specific health planning instead of generic planning.<br /> <br /> Please <a href="http://www.thehindu.com/opinion/op-ed/a-toolkit-to-think-local/article20944947.ece">click here</a> to read more. <br /> </div>', 'credit_writer' => 'The Hindu, 27 November, 2017, http://www.thehindu.com/opinion/op-ed/a-toolkit-to-think-local/article20944947.ece', 'article_img' => '', 'article_img_thumb' => '', 'status' => (int) 1, 'show_on_home' => (int) 1, 'lang' => 'EN', 'category_id' => (int) 16, 'tag_keyword' => '', 'seo_url' => 'a-toolkit-to-think-local-soumya-swaminathan-lalit-dandona-4683468', 'meta_title' => null, 'meta_keywords' => null, 'meta_description' => null, 'noindex' => (int) 0, 'publish_date' => object(Cake\I18n\FrozenDate) {}, 'most_visit_section_id' => null, 'article_big_img' => null, 'liveid' => (int) 4683468, 'created' => object(Cake\I18n\FrozenTime) {}, 'modified' => object(Cake\I18n\FrozenTime) {}, 'edate' => '', 'tags' => [ [maximum depth reached] ], 'category' => object(App\Model\Entity\Category) {}, '[new]' => false, '[accessible]' => [ [maximum depth reached] ], '[dirty]' => [[maximum depth reached]], '[original]' => [[maximum depth reached]], '[virtual]' => [[maximum depth reached]], '[hasErrors]' => false, '[errors]' => [[maximum depth reached]], '[invalid]' => [[maximum depth reached]], '[repository]' => 'Articles' }, 'articleid' => (int) 35361, 'metaTitle' => 'LATEST NEWS UPDATES | A toolkit to think local -Soumya Swaminathan &amp; Lalit Dandona', 'metaKeywords' => 'Non-Communicable Diseases (NCDs),global burden of disease,Disability-Adjusted Life Years (DALY)', 'metaDesc' => ' -The Hindu The findings of the India State-Level Disease Burden Initiative will aid in decentralised health planning Policymakers in India need reliable disease burden data at subnational levels. Planning based on local trends can improve the health of populations more effectively. Till...', 'disp' => '<div align="justify">-The Hindu<br /><br /><em>The findings of the India State-Level Disease Burden Initiative will aid in decentralised health planning<br /></em><br />Policymakers in India need reliable disease burden data at subnational levels. Planning based on local trends can improve the health of populations more effectively. Till now, a comprehensive assessment of the diseases causing the most premature deaths and ill health in each State, the risk factors responsible for this burden and their time trends have not been available. To address this crucial knowledge gap, a team of over 250 scientists and others from around 100 institutions who are part of the India State-Level Disease Burden Initiative has analysed and described these trends for every State from 1990 to 2016. Its report was released by the Vice President of India, and a technical paper published in the journal Lancet recently.<br /><br />The findings of the study are based on analysis of data from all available sources. This includes vital registration, the sample registration system, large-scale national household surveys, other population-level surveys and cohort studies, disease surveillance data, disease programme data, administrative records of health services, disease registries, among others. The estimates were produced as part of the Global Burden of Disease Study 2016, which uses standardised methods in a unified framework. The key metric used to assess burden is disability-adjusted life years (DALY), which is the sum of the number of years of life lost due to premature death and a weighted measure of the years lived with disability due to a disease or an injury. This allows comparisons of health loss between diseases, risk factors, States, sexes, age groups, and over time.<br /><br /><em>Inequalities among States<br /></em><br />The per person disease burden, measured as DALY rate, has dropped in India by 36% from 1990 to 2016, but there are major inequalities among States with the per person DALY rate varying almost twofold between them. The burden of most infectious and childhood diseases has fallen, but the extent of this varies substantially across India. Diarrhoeal diseases, lower respiratory infections, iron-deficiency anaemia, neonatal disorders, and tuberculosis still continue to be major public health problems in many poorer northern States.<br /><br />The contribution of most major non-communicable disease categories to the total disease burden has increased in all States since 1990. 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Major differences are also observed for individual diseases between neighbouring States that are at similar levels of development. This points to the need for State-specific health planning instead of generic planning.<br /><br />Please <a href="http://www.thehindu.com/opinion/op-ed/a-toolkit-to-think-local/article20944947.ece" title="http://www.thehindu.com/opinion/op-ed/a-toolkit-to-think-local/article20944947.ece">click here</a> to read more. <br /></div>', 'lang' => 'English', 'SITE_URL' => 'https://im4change.in/', 'site_title' => 'im4change', 'adminprix' => 'admin' ] $article_current = object(App\Model\Entity\Article) { 'id' => (int) 35361, 'title' => 'A toolkit to think local -Soumya Swaminathan &amp; Lalit Dandona', 'subheading' => '', 'description' => '<div align="justify"> -The Hindu<br /> <br /> <em>The findings of the India State-Level Disease Burden Initiative will aid in decentralised health planning<br /> </em><br /> Policymakers in India need reliable disease burden data at subnational levels. Planning based on local trends can improve the health of populations more effectively. Till now, a comprehensive assessment of the diseases causing the most premature deaths and ill health in each State, the risk factors responsible for this burden and their time trends have not been available. To address this crucial knowledge gap, a team of over 250 scientists and others from around 100 institutions who are part of the India State-Level Disease Burden Initiative has analysed and described these trends for every State from 1990 to 2016. Its report was released by the Vice President of India, and a technical paper published in the journal Lancet recently.<br /> <br /> The findings of the study are based on analysis of data from all available sources. This includes vital registration, the sample registration system, large-scale national household surveys, other population-level surveys and cohort studies, disease surveillance data, disease programme data, administrative records of health services, disease registries, among others. 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Its report was released by the Vice President of India, and a technical paper published in the journal Lancet recently.<br /><br />The findings of the study are based on analysis of data from all available sources. This includes vital registration, the sample registration system, large-scale national household surveys, other population-level surveys and cohort studies, disease surveillance data, disease programme data, administrative records of health services, disease registries, among others. The estimates were produced as part of the Global Burden of Disease Study 2016, which uses standardised methods in a unified framework. The key metric used to assess burden is disability-adjusted life years (DALY), which is the sum of the number of years of life lost due to premature death and a weighted measure of the years lived with disability due to a disease or an injury. This allows comparisons of health loss between diseases, risk factors, States, sexes, age groups, and over time.<br /><br /><em>Inequalities among States<br /></em><br />The per person disease burden, measured as DALY rate, has dropped in India by 36% from 1990 to 2016, but there are major inequalities among States with the per person DALY rate varying almost twofold between them. The burden of most infectious and childhood diseases has fallen, but the extent of this varies substantially across India. Diarrhoeal diseases, lower respiratory infections, iron-deficiency anaemia, neonatal disorders, and tuberculosis still continue to be major public health problems in many poorer northern States.<br /><br />The contribution of most major non-communicable disease categories to the total disease burden has increased in all States since 1990. These include cardiovascular diseases, diabetes, chronic respiratory diseases, mental health and neurological disorders, musculoskeletal disorders, cancers, and chronic kidney disease. The contribution of injuries &mdash; the leading ones being road injuries, suicides, and falls &mdash; to the total disease burden has also increased in most States since 1990.<br /><br />The continuing high burden of infectious and childhood diseases in poorer States along with the rising tide of non-communicable diseases and injuries poses a particularly ominous challenge for these States. Substantial increases in health spending by the government and expansion of suitable preventive and curative health services are necessary to prevent this potentially explosive situation. It is important to note that the State-specific DALY rates for many leading individual diseases varies five- to tenfold between States. Major differences are also observed for individual diseases between neighbouring States that are at similar levels of development. This points to the need for State-specific health planning instead of generic planning.<br /><br />Please <a href="http://www.thehindu.com/opinion/op-ed/a-toolkit-to-think-local/article20944947.ece" title="http://www.thehindu.com/opinion/op-ed/a-toolkit-to-think-local/article20944947.ece">click here</a> to read more. <br /></div>' $lang = 'English' $SITE_URL = 'https://im4change.in/' $site_title = 'im4change' $adminprix = 'admin'</pre><pre class="stack-trace">include - APP/Template/Layout/printlayout.ctp, line 8 Cake\View\View::_evaluate() - CORE/src/View/View.php, line 1413 Cake\View\View::_render() - CORE/src/View/View.php, line 1374 Cake\View\View::renderLayout() - CORE/src/View/View.php, line 927 Cake\View\View::render() - CORE/src/View/View.php, line 885 Cake\Controller\Controller::render() - CORE/src/Controller/Controller.php, line 791 Cake\Http\ActionDispatcher::_invoke() - CORE/src/Http/ActionDispatcher.php, line 126 Cake\Http\ActionDispatcher::dispatch() - CORE/src/Http/ActionDispatcher.php, line 94 Cake\Http\BaseApplication::__invoke() - CORE/src/Http/BaseApplication.php, line 235 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Routing\Middleware\RoutingMiddleware::__invoke() - CORE/src/Routing/Middleware/RoutingMiddleware.php, line 162 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Routing\Middleware\AssetMiddleware::__invoke() - CORE/src/Routing/Middleware/AssetMiddleware.php, line 88 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Error\Middleware\ErrorHandlerMiddleware::__invoke() - CORE/src/Error/Middleware/ErrorHandlerMiddleware.php, line 96 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Http\Runner::run() - CORE/src/Http/Runner.php, line 51</pre></div></pre>latest-news-updates/a-toolkit-to-think-local-soumya-swaminathan-lalit-dandona-4683468.html"/> <meta http-equiv="Content-Type" content="text/html; charset=utf-8"/> <link href="https://im4change.in/css/control.css" rel="stylesheet" type="text/css" media="all"/> <title>LATEST NEWS UPDATES | A toolkit to think local -Soumya Swaminathan & Lalit Dandona | Im4change.org</title> <meta name="description" content=" -The Hindu The findings of the India State-Level Disease Burden Initiative will aid in decentralised health planning Policymakers in India need reliable disease burden data at subnational levels. Planning based on local trends can improve the health of populations more effectively. Till..."/> <script src="https://im4change.in/js/jquery-1.10.2.js"></script> <script type="text/javascript" src="https://im4change.in/js/jquery-migrate.min.js"></script> <script language="javascript" type="text/javascript"> $(document).ready(function () { var img = $("img")[0]; // Get my img elem var pic_real_width, pic_real_height; $("<img/>") // Make in memory copy of image to avoid css issues .attr("src", $(img).attr("src")) .load(function () { pic_real_width = this.width; // Note: $(this).width() will not pic_real_height = this.height; // work for in memory images. }); }); </script> <style type="text/css"> @media screen { div.divFooter { display: block; } } @media print { .printbutton { display: none !important; } } </style> </head> <body> <table cellpadding="0" cellspacing="0" border="0" width="98%" align="center"> <tr> <td class="top_bg"> <div class="divFooter"> <img src="https://im4change.in/images/logo1.jpg" height="59" border="0" alt="Resource centre on India's rural distress" style="padding-top:14px;"/> </div> </td> </tr> <tr> <td id="topspace"> </td> </tr> <tr id="topspace"> <td> </td> </tr> <tr> <td height="50" style="border-bottom:1px solid #000; padding-top:10px;" class="printbutton"> <form><input type="button" value=" Print this page " onclick="window.print();return false;"/></form> </td> </tr> <tr> <td width="100%"> <h1 class="news_headlines" style="font-style:normal"> <strong>A toolkit to think local -Soumya Swaminathan & Lalit Dandona</strong></h1> </td> </tr> <tr> <td width="100%" style="font-family:Arial, 'Segoe Script', 'Segoe UI', sans-serif, serif"><font size="3"> <div align="justify">-The Hindu<br /><br /><em>The findings of the India State-Level Disease Burden Initiative will aid in decentralised health planning<br /></em><br />Policymakers in India need reliable disease burden data at subnational levels. Planning based on local trends can improve the health of populations more effectively. Till now, a comprehensive assessment of the diseases causing the most premature deaths and ill health in each State, the risk factors responsible for this burden and their time trends have not been available. To address this crucial knowledge gap, a team of over 250 scientists and others from around 100 institutions who are part of the India State-Level Disease Burden Initiative has analysed and described these trends for every State from 1990 to 2016. Its report was released by the Vice President of India, and a technical paper published in the journal Lancet recently.<br /><br />The findings of the study are based on analysis of data from all available sources. This includes vital registration, the sample registration system, large-scale national household surveys, other population-level surveys and cohort studies, disease surveillance data, disease programme data, administrative records of health services, disease registries, among others. The estimates were produced as part of the Global Burden of Disease Study 2016, which uses standardised methods in a unified framework. The key metric used to assess burden is disability-adjusted life years (DALY), which is the sum of the number of years of life lost due to premature death and a weighted measure of the years lived with disability due to a disease or an injury. This allows comparisons of health loss between diseases, risk factors, States, sexes, age groups, and over time.<br /><br /><em>Inequalities among States<br /></em><br />The per person disease burden, measured as DALY rate, has dropped in India by 36% from 1990 to 2016, but there are major inequalities among States with the per person DALY rate varying almost twofold between them. The burden of most infectious and childhood diseases has fallen, but the extent of this varies substantially across India. Diarrhoeal diseases, lower respiratory infections, iron-deficiency anaemia, neonatal disorders, and tuberculosis still continue to be major public health problems in many poorer northern States.<br /><br />The contribution of most major non-communicable disease categories to the total disease burden has increased in all States since 1990. These include cardiovascular diseases, diabetes, chronic respiratory diseases, mental health and neurological disorders, musculoskeletal disorders, cancers, and chronic kidney disease. The contribution of injuries — the leading ones being road injuries, suicides, and falls — to the total disease burden has also increased in most States since 1990.<br /><br />The continuing high burden of infectious and childhood diseases in poorer States along with the rising tide of non-communicable diseases and injuries poses a particularly ominous challenge for these States. Substantial increases in health spending by the government and expansion of suitable preventive and curative health services are necessary to prevent this potentially explosive situation. It is important to note that the State-specific DALY rates for many leading individual diseases varies five- to tenfold between States. Major differences are also observed for individual diseases between neighbouring States that are at similar levels of development. This points to the need for State-specific health planning instead of generic planning.<br /><br />Please <a href="http://www.thehindu.com/opinion/op-ed/a-toolkit-to-think-local/article20944947.ece" title="http://www.thehindu.com/opinion/op-ed/a-toolkit-to-think-local/article20944947.ece">click here</a> to read more. <br /></div> </font> </td> </tr> <tr> <td> </td> </tr> <tr> <td height="50" style="border-top:1px solid #000; border-bottom:1px solid #000;padding-top:10px;"> <form><input type="button" value=" Print this page " onclick="window.print();return false;"/></form> </td> </tr> </table></body> </html>' } $reasonPhrase = 'OK'header - [internal], line ?? 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This allows comparisons of health loss between diseases, risk factors, States, sexes, age groups, and over time.<br /> <br /> <em>Inequalities among States<br /> </em><br /> The per person disease burden, measured as DALY rate, has dropped in India by 36% from 1990 to 2016, but there are major inequalities among States with the per person DALY rate varying almost twofold between them. The burden of most infectious and childhood diseases has fallen, but the extent of this varies substantially across India. Diarrhoeal diseases, lower respiratory infections, iron-deficiency anaemia, neonatal disorders, and tuberculosis still continue to be major public health problems in many poorer northern States.<br /> <br /> The contribution of most major non-communicable disease categories to the total disease burden has increased in all States since 1990. 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This allows comparisons of health loss between diseases, risk factors, States, sexes, age groups, and over time.<br /><br /><em>Inequalities among States<br /></em><br />The per person disease burden, measured as DALY rate, has dropped in India by 36% from 1990 to 2016, but there are major inequalities among States with the per person DALY rate varying almost twofold between them. The burden of most infectious and childhood diseases has fallen, but the extent of this varies substantially across India. Diarrhoeal diseases, lower respiratory infections, iron-deficiency anaemia, neonatal disorders, and tuberculosis still continue to be major public health problems in many poorer northern States.<br /><br />The contribution of most major non-communicable disease categories to the total disease burden has increased in all States since 1990. 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Its report was released by the Vice President of India, and a technical paper published in the journal Lancet recently.<br /><br />The findings of the study are based on analysis of data from all available sources. This includes vital registration, the sample registration system, large-scale national household surveys, other population-level surveys and cohort studies, disease surveillance data, disease programme data, administrative records of health services, disease registries, among others. The estimates were produced as part of the Global Burden of Disease Study 2016, which uses standardised methods in a unified framework. The key metric used to assess burden is disability-adjusted life years (DALY), which is the sum of the number of years of life lost due to premature death and a weighted measure of the years lived with disability due to a disease or an injury. This allows comparisons of health loss between diseases, risk factors, States, sexes, age groups, and over time.<br /><br /><em>Inequalities among States<br /></em><br />The per person disease burden, measured as DALY rate, has dropped in India by 36% from 1990 to 2016, but there are major inequalities among States with the per person DALY rate varying almost twofold between them. The burden of most infectious and childhood diseases has fallen, but the extent of this varies substantially across India. Diarrhoeal diseases, lower respiratory infections, iron-deficiency anaemia, neonatal disorders, and tuberculosis still continue to be major public health problems in many poorer northern States.<br /><br />The contribution of most major non-communicable disease categories to the total disease burden has increased in all States since 1990. 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Major differences are also observed for individual diseases between neighbouring States that are at similar levels of development. This points to the need for State-specific health planning instead of generic planning.<br /><br />Please <a href="http://www.thehindu.com/opinion/op-ed/a-toolkit-to-think-local/article20944947.ece" title="http://www.thehindu.com/opinion/op-ed/a-toolkit-to-think-local/article20944947.ece">click here</a> to read more. <br /></div>' $lang = 'English' $SITE_URL = 'https://im4change.in/' $site_title = 'im4change' $adminprix = 'admin'</pre><pre class="stack-trace">include - APP/Template/Layout/printlayout.ctp, line 8 Cake\View\View::_evaluate() - CORE/src/View/View.php, line 1413 Cake\View\View::_render() - CORE/src/View/View.php, line 1374 Cake\View\View::renderLayout() - CORE/src/View/View.php, line 927 Cake\View\View::render() - CORE/src/View/View.php, line 885 Cake\Controller\Controller::render() - CORE/src/Controller/Controller.php, line 791 Cake\Http\ActionDispatcher::_invoke() - CORE/src/Http/ActionDispatcher.php, line 126 Cake\Http\ActionDispatcher::dispatch() - CORE/src/Http/ActionDispatcher.php, line 94 Cake\Http\BaseApplication::__invoke() - CORE/src/Http/BaseApplication.php, line 235 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Routing\Middleware\RoutingMiddleware::__invoke() - CORE/src/Routing/Middleware/RoutingMiddleware.php, line 162 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Routing\Middleware\AssetMiddleware::__invoke() - CORE/src/Routing/Middleware/AssetMiddleware.php, line 88 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Error\Middleware\ErrorHandlerMiddleware::__invoke() - CORE/src/Error/Middleware/ErrorHandlerMiddleware.php, line 96 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Http\Runner::run() - CORE/src/Http/Runner.php, line 51</pre></div></pre>latest-news-updates/a-toolkit-to-think-local-soumya-swaminathan-lalit-dandona-4683468.html"/> <meta http-equiv="Content-Type" content="text/html; charset=utf-8"/> <link href="https://im4change.in/css/control.css" rel="stylesheet" type="text/css" media="all"/> <title>LATEST NEWS UPDATES | A toolkit to think local -Soumya Swaminathan & Lalit Dandona | Im4change.org</title> <meta name="description" content=" -The Hindu The findings of the India State-Level Disease Burden Initiative will aid in decentralised health planning Policymakers in India need reliable disease burden data at subnational levels. 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Till..."/> <script src="https://im4change.in/js/jquery-1.10.2.js"></script> <script type="text/javascript" src="https://im4change.in/js/jquery-migrate.min.js"></script> <script language="javascript" type="text/javascript"> $(document).ready(function () { var img = $("img")[0]; // Get my img elem var pic_real_width, pic_real_height; $("<img/>") // Make in memory copy of image to avoid css issues .attr("src", $(img).attr("src")) .load(function () { pic_real_width = this.width; // Note: $(this).width() will not pic_real_height = this.height; // work for in memory images. }); }); </script> <style type="text/css"> @media screen { div.divFooter { display: block; } } @media print { .printbutton { display: none !important; } } </style> </head> <body> <table cellpadding="0" cellspacing="0" border="0" width="98%" align="center"> <tr> <td class="top_bg"> <div class="divFooter"> <img src="https://im4change.in/images/logo1.jpg" height="59" border="0" alt="Resource centre on India's rural distress" style="padding-top:14px;"/> </div> </td> </tr> <tr> <td id="topspace"> </td> </tr> <tr id="topspace"> <td> </td> </tr> <tr> <td height="50" style="border-bottom:1px solid #000; padding-top:10px;" class="printbutton"> <form><input type="button" value=" Print this page " onclick="window.print();return false;"/></form> </td> </tr> <tr> <td width="100%"> <h1 class="news_headlines" style="font-style:normal"> <strong>A toolkit to think local -Soumya Swaminathan & Lalit Dandona</strong></h1> </td> </tr> <tr> <td width="100%" style="font-family:Arial, 'Segoe Script', 'Segoe UI', sans-serif, serif"><font size="3"> <div align="justify">-The Hindu<br /><br /><em>The findings of the India State-Level Disease Burden Initiative will aid in decentralised health planning<br /></em><br />Policymakers in India need reliable disease burden data at subnational levels. Planning based on local trends can improve the health of populations more effectively. Till now, a comprehensive assessment of the diseases causing the most premature deaths and ill health in each State, the risk factors responsible for this burden and their time trends have not been available. To address this crucial knowledge gap, a team of over 250 scientists and others from around 100 institutions who are part of the India State-Level Disease Burden Initiative has analysed and described these trends for every State from 1990 to 2016. Its report was released by the Vice President of India, and a technical paper published in the journal Lancet recently.<br /><br />The findings of the study are based on analysis of data from all available sources. This includes vital registration, the sample registration system, large-scale national household surveys, other population-level surveys and cohort studies, disease surveillance data, disease programme data, administrative records of health services, disease registries, among others. The estimates were produced as part of the Global Burden of Disease Study 2016, which uses standardised methods in a unified framework. The key metric used to assess burden is disability-adjusted life years (DALY), which is the sum of the number of years of life lost due to premature death and a weighted measure of the years lived with disability due to a disease or an injury. This allows comparisons of health loss between diseases, risk factors, States, sexes, age groups, and over time.<br /><br /><em>Inequalities among States<br /></em><br />The per person disease burden, measured as DALY rate, has dropped in India by 36% from 1990 to 2016, but there are major inequalities among States with the per person DALY rate varying almost twofold between them. The burden of most infectious and childhood diseases has fallen, but the extent of this varies substantially across India. Diarrhoeal diseases, lower respiratory infections, iron-deficiency anaemia, neonatal disorders, and tuberculosis still continue to be major public health problems in many poorer northern States.<br /><br />The contribution of most major non-communicable disease categories to the total disease burden has increased in all States since 1990. These include cardiovascular diseases, diabetes, chronic respiratory diseases, mental health and neurological disorders, musculoskeletal disorders, cancers, and chronic kidney disease. The contribution of injuries — the leading ones being road injuries, suicides, and falls — to the total disease burden has also increased in most States since 1990.<br /><br />The continuing high burden of infectious and childhood diseases in poorer States along with the rising tide of non-communicable diseases and injuries poses a particularly ominous challenge for these States. Substantial increases in health spending by the government and expansion of suitable preventive and curative health services are necessary to prevent this potentially explosive situation. It is important to note that the State-specific DALY rates for many leading individual diseases varies five- to tenfold between States. Major differences are also observed for individual diseases between neighbouring States that are at similar levels of development. This points to the need for State-specific health planning instead of generic planning.<br /><br />Please <a href="http://www.thehindu.com/opinion/op-ed/a-toolkit-to-think-local/article20944947.ece" title="http://www.thehindu.com/opinion/op-ed/a-toolkit-to-think-local/article20944947.ece">click here</a> to read more. <br /></div> </font> </td> </tr> <tr> <td> </td> </tr> <tr> <td height="50" style="border-top:1px solid #000; border-bottom:1px solid #000;padding-top:10px;"> <form><input type="button" value=" Print this page " onclick="window.print();return false;"/></form> </td> </tr> </table></body> </html>' } $cookies = [] $values = [ (int) 0 => 'text/html; charset=UTF-8' ] $name = 'Content-Type' $first = true $value = 'text/html; charset=UTF-8'header - [internal], line ?? 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To address this crucial knowledge gap, a team of over 250 scientists and others from around 100 institutions who are part of the India State-Level Disease Burden Initiative has analysed and described these trends for every State from 1990 to 2016. Its report was released by the Vice President of India, and a technical paper published in the journal Lancet recently.<br /> <br /> The findings of the study are based on analysis of data from all available sources. This includes vital registration, the sample registration system, large-scale national household surveys, other population-level surveys and cohort studies, disease surveillance data, disease programme data, administrative records of health services, disease registries, among others. The estimates were produced as part of the Global Burden of Disease Study 2016, which uses standardised methods in a unified framework. The key metric used to assess burden is disability-adjusted life years (DALY), which is the sum of the number of years of life lost due to premature death and a weighted measure of the years lived with disability due to a disease or an injury. This allows comparisons of health loss between diseases, risk factors, States, sexes, age groups, and over time.<br /> <br /> <em>Inequalities among States<br /> </em><br /> The per person disease burden, measured as DALY rate, has dropped in India by 36% from 1990 to 2016, but there are major inequalities among States with the per person DALY rate varying almost twofold between them. The burden of most infectious and childhood diseases has fallen, but the extent of this varies substantially across India. Diarrhoeal diseases, lower respiratory infections, iron-deficiency anaemia, neonatal disorders, and tuberculosis still continue to be major public health problems in many poorer northern States.<br /> <br /> The contribution of most major non-communicable disease categories to the total disease burden has increased in all States since 1990. These include cardiovascular diseases, diabetes, chronic respiratory diseases, mental health and neurological disorders, musculoskeletal disorders, cancers, and chronic kidney disease. The contribution of injuries — the leading ones being road injuries, suicides, and falls — to the total disease burden has also increased in most States since 1990.<br /> <br /> The continuing high burden of infectious and childhood diseases in poorer States along with the rising tide of non-communicable diseases and injuries poses a particularly ominous challenge for these States. Substantial increases in health spending by the government and expansion of suitable preventive and curative health services are necessary to prevent this potentially explosive situation. It is important to note that the State-specific DALY rates for many leading individual diseases varies five- to tenfold between States. Major differences are also observed for individual diseases between neighbouring States that are at similar levels of development. This points to the need for State-specific health planning instead of generic planning.<br /> <br /> Please <a href="http://www.thehindu.com/opinion/op-ed/a-toolkit-to-think-local/article20944947.ece">click here</a> to read more. <br /> </div>', 'credit_writer' => 'The Hindu, 27 November, 2017, http://www.thehindu.com/opinion/op-ed/a-toolkit-to-think-local/article20944947.ece', 'article_img' => '', 'article_img_thumb' => '', 'status' => (int) 1, 'show_on_home' => (int) 1, 'lang' => 'EN', 'category_id' => (int) 16, 'tag_keyword' => '', 'seo_url' => 'a-toolkit-to-think-local-soumya-swaminathan-lalit-dandona-4683468', 'meta_title' => null, 'meta_keywords' => null, 'meta_description' => null, 'noindex' => (int) 0, 'publish_date' => object(Cake\I18n\FrozenDate) {}, 'most_visit_section_id' => null, 'article_big_img' => null, 'liveid' => (int) 4683468, 'created' => object(Cake\I18n\FrozenTime) {}, 'modified' => object(Cake\I18n\FrozenTime) {}, 'edate' => '', 'tags' => [ [maximum depth reached] ], 'category' => object(App\Model\Entity\Category) {}, '[new]' => false, '[accessible]' => [ [maximum depth reached] ], '[dirty]' => [[maximum depth reached]], '[original]' => [[maximum depth reached]], '[virtual]' => [[maximum depth reached]], '[hasErrors]' => false, '[errors]' => [[maximum depth reached]], '[invalid]' => [[maximum depth reached]], '[repository]' => 'Articles' }, 'articleid' => (int) 35361, 'metaTitle' => 'LATEST NEWS UPDATES | A toolkit to think local -Soumya Swaminathan & Lalit Dandona', 'metaKeywords' => 'Non-Communicable Diseases (NCDs),global burden of disease,Disability-Adjusted Life Years (DALY)', 'metaDesc' => ' -The Hindu The findings of the India State-Level Disease Burden Initiative will aid in decentralised health planning Policymakers in India need reliable disease burden data at subnational levels. Planning based on local trends can improve the health of populations more effectively. Till...', 'disp' => '<div align="justify">-The Hindu<br /><br /><em>The findings of the India State-Level Disease Burden Initiative will aid in decentralised health planning<br /></em><br />Policymakers in India need reliable disease burden data at subnational levels. Planning based on local trends can improve the health of populations more effectively. Till now, a comprehensive assessment of the diseases causing the most premature deaths and ill health in each State, the risk factors responsible for this burden and their time trends have not been available. To address this crucial knowledge gap, a team of over 250 scientists and others from around 100 institutions who are part of the India State-Level Disease Burden Initiative has analysed and described these trends for every State from 1990 to 2016. Its report was released by the Vice President of India, and a technical paper published in the journal Lancet recently.<br /><br />The findings of the study are based on analysis of data from all available sources. This includes vital registration, the sample registration system, large-scale national household surveys, other population-level surveys and cohort studies, disease surveillance data, disease programme data, administrative records of health services, disease registries, among others. The estimates were produced as part of the Global Burden of Disease Study 2016, which uses standardised methods in a unified framework. The key metric used to assess burden is disability-adjusted life years (DALY), which is the sum of the number of years of life lost due to premature death and a weighted measure of the years lived with disability due to a disease or an injury. This allows comparisons of health loss between diseases, risk factors, States, sexes, age groups, and over time.<br /><br /><em>Inequalities among States<br /></em><br />The per person disease burden, measured as DALY rate, has dropped in India by 36% from 1990 to 2016, but there are major inequalities among States with the per person DALY rate varying almost twofold between them. The burden of most infectious and childhood diseases has fallen, but the extent of this varies substantially across India. Diarrhoeal diseases, lower respiratory infections, iron-deficiency anaemia, neonatal disorders, and tuberculosis still continue to be major public health problems in many poorer northern States.<br /><br />The contribution of most major non-communicable disease categories to the total disease burden has increased in all States since 1990. These include cardiovascular diseases, diabetes, chronic respiratory diseases, mental health and neurological disorders, musculoskeletal disorders, cancers, and chronic kidney disease. The contribution of injuries — the leading ones being road injuries, suicides, and falls — to the total disease burden has also increased in most States since 1990.<br /><br />The continuing high burden of infectious and childhood diseases in poorer States along with the rising tide of non-communicable diseases and injuries poses a particularly ominous challenge for these States. Substantial increases in health spending by the government and expansion of suitable preventive and curative health services are necessary to prevent this potentially explosive situation. It is important to note that the State-specific DALY rates for many leading individual diseases varies five- to tenfold between States. Major differences are also observed for individual diseases between neighbouring States that are at similar levels of development. This points to the need for State-specific health planning instead of generic planning.<br /><br />Please <a href="http://www.thehindu.com/opinion/op-ed/a-toolkit-to-think-local/article20944947.ece" title="http://www.thehindu.com/opinion/op-ed/a-toolkit-to-think-local/article20944947.ece">click here</a> to read more. <br /></div>', 'lang' => 'English', 'SITE_URL' => 'https://im4change.in/', 'site_title' => 'im4change', 'adminprix' => 'admin' ] $article_current = object(App\Model\Entity\Article) { 'id' => (int) 35361, 'title' => 'A toolkit to think local -Soumya Swaminathan & Lalit Dandona', 'subheading' => '', 'description' => '<div align="justify"> -The Hindu<br /> <br /> <em>The findings of the India State-Level Disease Burden Initiative will aid in decentralised health planning<br /> </em><br /> Policymakers in India need reliable disease burden data at subnational levels. Planning based on local trends can improve the health of populations more effectively. Till now, a comprehensive assessment of the diseases causing the most premature deaths and ill health in each State, the risk factors responsible for this burden and their time trends have not been available. To address this crucial knowledge gap, a team of over 250 scientists and others from around 100 institutions who are part of the India State-Level Disease Burden Initiative has analysed and described these trends for every State from 1990 to 2016. Its report was released by the Vice President of India, and a technical paper published in the journal Lancet recently.<br /> <br /> The findings of the study are based on analysis of data from all available sources. This includes vital registration, the sample registration system, large-scale national household surveys, other population-level surveys and cohort studies, disease surveillance data, disease programme data, administrative records of health services, disease registries, among others. The estimates were produced as part of the Global Burden of Disease Study 2016, which uses standardised methods in a unified framework. The key metric used to assess burden is disability-adjusted life years (DALY), which is the sum of the number of years of life lost due to premature death and a weighted measure of the years lived with disability due to a disease or an injury. This allows comparisons of health loss between diseases, risk factors, States, sexes, age groups, and over time.<br /> <br /> <em>Inequalities among States<br /> </em><br /> The per person disease burden, measured as DALY rate, has dropped in India by 36% from 1990 to 2016, but there are major inequalities among States with the per person DALY rate varying almost twofold between them. The burden of most infectious and childhood diseases has fallen, but the extent of this varies substantially across India. Diarrhoeal diseases, lower respiratory infections, iron-deficiency anaemia, neonatal disorders, and tuberculosis still continue to be major public health problems in many poorer northern States.<br /> <br /> The contribution of most major non-communicable disease categories to the total disease burden has increased in all States since 1990. These include cardiovascular diseases, diabetes, chronic respiratory diseases, mental health and neurological disorders, musculoskeletal disorders, cancers, and chronic kidney disease. The contribution of injuries — the leading ones being road injuries, suicides, and falls — to the total disease burden has also increased in most States since 1990.<br /> <br /> The continuing high burden of infectious and childhood diseases in poorer States along with the rising tide of non-communicable diseases and injuries poses a particularly ominous challenge for these States. Substantial increases in health spending by the government and expansion of suitable preventive and curative health services are necessary to prevent this potentially explosive situation. It is important to note that the State-specific DALY rates for many leading individual diseases varies five- to tenfold between States. Major differences are also observed for individual diseases between neighbouring States that are at similar levels of development. This points to the need for State-specific health planning instead of generic planning.<br /> <br /> Please <a href="http://www.thehindu.com/opinion/op-ed/a-toolkit-to-think-local/article20944947.ece">click here</a> to read more. <br /> </div>', 'credit_writer' => 'The Hindu, 27 November, 2017, http://www.thehindu.com/opinion/op-ed/a-toolkit-to-think-local/article20944947.ece', 'article_img' => '', 'article_img_thumb' => '', 'status' => (int) 1, 'show_on_home' => (int) 1, 'lang' => 'EN', 'category_id' => (int) 16, 'tag_keyword' => '', 'seo_url' => 'a-toolkit-to-think-local-soumya-swaminathan-lalit-dandona-4683468', 'meta_title' => null, 'meta_keywords' => null, 'meta_description' => null, 'noindex' => (int) 0, 'publish_date' => object(Cake\I18n\FrozenDate) {}, 'most_visit_section_id' => null, 'article_big_img' => null, 'liveid' => (int) 4683468, 'created' => object(Cake\I18n\FrozenTime) {}, 'modified' => object(Cake\I18n\FrozenTime) {}, 'edate' => '', 'tags' => [ (int) 0 => object(Cake\ORM\Entity) {}, (int) 1 => object(Cake\ORM\Entity) {}, (int) 2 => object(Cake\ORM\Entity) {} ], 'category' => object(App\Model\Entity\Category) {}, '[new]' => false, '[accessible]' => [ '*' => true, 'id' => false ], '[dirty]' => [], '[original]' => [], '[virtual]' => [], '[hasErrors]' => false, '[errors]' => [], '[invalid]' => [], '[repository]' => 'Articles' } $articleid = (int) 35361 $metaTitle = 'LATEST NEWS UPDATES | A toolkit to think local -Soumya Swaminathan & Lalit Dandona' $metaKeywords = 'Non-Communicable Diseases (NCDs),global burden of disease,Disability-Adjusted Life Years (DALY)' $metaDesc = ' -The Hindu The findings of the India State-Level Disease Burden Initiative will aid in decentralised health planning Policymakers in India need reliable disease burden data at subnational levels. Planning based on local trends can improve the health of populations more effectively. Till...' $disp = '<div align="justify">-The Hindu<br /><br /><em>The findings of the India State-Level Disease Burden Initiative will aid in decentralised health planning<br /></em><br />Policymakers in India need reliable disease burden data at subnational levels. Planning based on local trends can improve the health of populations more effectively. Till now, a comprehensive assessment of the diseases causing the most premature deaths and ill health in each State, the risk factors responsible for this burden and their time trends have not been available. To address this crucial knowledge gap, a team of over 250 scientists and others from around 100 institutions who are part of the India State-Level Disease Burden Initiative has analysed and described these trends for every State from 1990 to 2016. Its report was released by the Vice President of India, and a technical paper published in the journal Lancet recently.<br /><br />The findings of the study are based on analysis of data from all available sources. This includes vital registration, the sample registration system, large-scale national household surveys, other population-level surveys and cohort studies, disease surveillance data, disease programme data, administrative records of health services, disease registries, among others. The estimates were produced as part of the Global Burden of Disease Study 2016, which uses standardised methods in a unified framework. The key metric used to assess burden is disability-adjusted life years (DALY), which is the sum of the number of years of life lost due to premature death and a weighted measure of the years lived with disability due to a disease or an injury. This allows comparisons of health loss between diseases, risk factors, States, sexes, age groups, and over time.<br /><br /><em>Inequalities among States<br /></em><br />The per person disease burden, measured as DALY rate, has dropped in India by 36% from 1990 to 2016, but there are major inequalities among States with the per person DALY rate varying almost twofold between them. The burden of most infectious and childhood diseases has fallen, but the extent of this varies substantially across India. Diarrhoeal diseases, lower respiratory infections, iron-deficiency anaemia, neonatal disorders, and tuberculosis still continue to be major public health problems in many poorer northern States.<br /><br />The contribution of most major non-communicable disease categories to the total disease burden has increased in all States since 1990. These include cardiovascular diseases, diabetes, chronic respiratory diseases, mental health and neurological disorders, musculoskeletal disorders, cancers, and chronic kidney disease. The contribution of injuries — the leading ones being road injuries, suicides, and falls — to the total disease burden has also increased in most States since 1990.<br /><br />The continuing high burden of infectious and childhood diseases in poorer States along with the rising tide of non-communicable diseases and injuries poses a particularly ominous challenge for these States. Substantial increases in health spending by the government and expansion of suitable preventive and curative health services are necessary to prevent this potentially explosive situation. It is important to note that the State-specific DALY rates for many leading individual diseases varies five- to tenfold between States. Major differences are also observed for individual diseases between neighbouring States that are at similar levels of development. This points to the need for State-specific health planning instead of generic planning.<br /><br />Please <a href="http://www.thehindu.com/opinion/op-ed/a-toolkit-to-think-local/article20944947.ece" title="http://www.thehindu.com/opinion/op-ed/a-toolkit-to-think-local/article20944947.ece">click here</a> to read more. <br /></div>' $lang = 'English' $SITE_URL = 'https://im4change.in/' $site_title = 'im4change' $adminprix = 'admin'
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A toolkit to think local -Soumya Swaminathan & Lalit Dandona |
-The Hindu
The findings of the India State-Level Disease Burden Initiative will aid in decentralised health planning Policymakers in India need reliable disease burden data at subnational levels. Planning based on local trends can improve the health of populations more effectively. Till now, a comprehensive assessment of the diseases causing the most premature deaths and ill health in each State, the risk factors responsible for this burden and their time trends have not been available. To address this crucial knowledge gap, a team of over 250 scientists and others from around 100 institutions who are part of the India State-Level Disease Burden Initiative has analysed and described these trends for every State from 1990 to 2016. Its report was released by the Vice President of India, and a technical paper published in the journal Lancet recently. The findings of the study are based on analysis of data from all available sources. This includes vital registration, the sample registration system, large-scale national household surveys, other population-level surveys and cohort studies, disease surveillance data, disease programme data, administrative records of health services, disease registries, among others. The estimates were produced as part of the Global Burden of Disease Study 2016, which uses standardised methods in a unified framework. The key metric used to assess burden is disability-adjusted life years (DALY), which is the sum of the number of years of life lost due to premature death and a weighted measure of the years lived with disability due to a disease or an injury. This allows comparisons of health loss between diseases, risk factors, States, sexes, age groups, and over time. Inequalities among States The per person disease burden, measured as DALY rate, has dropped in India by 36% from 1990 to 2016, but there are major inequalities among States with the per person DALY rate varying almost twofold between them. The burden of most infectious and childhood diseases has fallen, but the extent of this varies substantially across India. Diarrhoeal diseases, lower respiratory infections, iron-deficiency anaemia, neonatal disorders, and tuberculosis still continue to be major public health problems in many poorer northern States. The contribution of most major non-communicable disease categories to the total disease burden has increased in all States since 1990. These include cardiovascular diseases, diabetes, chronic respiratory diseases, mental health and neurological disorders, musculoskeletal disorders, cancers, and chronic kidney disease. The contribution of injuries — the leading ones being road injuries, suicides, and falls — to the total disease burden has also increased in most States since 1990. The continuing high burden of infectious and childhood diseases in poorer States along with the rising tide of non-communicable diseases and injuries poses a particularly ominous challenge for these States. Substantial increases in health spending by the government and expansion of suitable preventive and curative health services are necessary to prevent this potentially explosive situation. It is important to note that the State-specific DALY rates for many leading individual diseases varies five- to tenfold between States. Major differences are also observed for individual diseases between neighbouring States that are at similar levels of development. This points to the need for State-specific health planning instead of generic planning. Please click here to read more. |