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LATEST NEWS UPDATES | Did a minister cite a non-existent study in her Parliament reply - Ishan Kukreti

Did a minister cite a non-existent study in her Parliament reply - Ishan Kukreti

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published Published on Oct 21, 2020   modified Modified on Oct 23, 2020

-Down to Earth

Renuka Singh Saruta had attributed a study to IIT-Delhi on COVID-19 in tribal areas; but the institution does not have it

It could be a major flip-flop, that too by a central minister in Parliament. Minister of State for Tribal Affairs, Renuka Singh Saruta in an answer to the Rajya Sabha, attributed data to a study that might not exist.

Saruta told the Rajya Sabha September 17, 2020, that less than three per cent of people in tribal areas had been infected by the novel coronavirus disease (COVID-19) pandemic. She referred to a study by the Indian Institute of Technology (IIT), Delhi, which arrived at the figure of COVID-19 burden in 177 tribal-dominated districts across the country.

“In a recent study done by IIT-Delhi, in 177 tribal dominated districts with a population of more than 25 per cent, less than three per cent has been detected as corona positive,” the minister had replied in response to a question by Biju Janata Dal’s Amar Patnaik.

“So far, there has been no report of any major outbreak of the disease in the tribal areas, which might be a cause for concern,” Saruta had added.

On September 24, this correspondent filed an application under the Right to Information Act (RTI) with the Union Ministry of Tribal Affairs (MoTA) and IIT-Delhi, asking for the study as well as the methodology used for the study. The responses to both RTIs suggest that no such study was carried out by IIT- Delhi.  

IIT-Delhi responded that no such information was available with either its Centre for Rural Development, Industrial Research and Development Unit or with the Registrar’s office.

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Down to Earth, 21 October, 2020, https://www.downtoearth.org.in/news/governance/exclusive-did-a-minister-cite-a-non-existent-study-in-her-parliament-reply-73883?fbclid=IwAR0b74arU0YJAWndB2h9uC-pwL7fQv8I50u-gbyCiGZ9PW_HzEN5e759rww


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