2021
DOI: 10.1186/s12889-021-11054-7
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Disparity in the quality of COVID-19 data reporting across India

Abstract: Background Transparent and accessible reporting of COVID-19 data is critical for public health efforts. Each Indian state has its own mechanism for reporting COVID-19 data, and the quality of their reporting has not been systematically evaluated. We present a comprehensive assessment of the quality of COVID-19 data reporting done by the Indian state governments between 19 May and 1 June, 2020. Methods We designed a semi-quantitative framework with … Show more

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Cited by 23 publications
(34 citation statements)
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“…Of course, the quality of the data reported varies depending on the country ( Lloyd-Sherlock et al. , 2021 ; Vasudevan et al. , 2021 ).…”
Section: Methodsmentioning
confidence: 99%
“…Of course, the quality of the data reported varies depending on the country ( Lloyd-Sherlock et al. , 2021 ; Vasudevan et al. , 2021 ).…”
Section: Methodsmentioning
confidence: 99%
“…The inability of the timely and accurate collection of COVID-19 data in daily case reports occurs in many countries. Discrepancies of confirmed official COVID-19 data were reported from many countries, such as Bangladesh [20], India [21], and the USA ( [22,23]). The quality of the COVID-19 data certainly contributes to the consistency of the model and the accuracy of prediction.…”
Section: Cumulative Case Data For Constructing the Generating Operatormentioning
confidence: 98%
“…21 Some public health agencies withheld data from the public and did not assess baseline risk across socioeconomic groupings. 22 In the USA, the CDC tracked vaccination status with demographic data, 23 but it did not use ARR or NNV to guide vaccine distribution policies. Many US states and counties struggled to track COVID-19 cases.…”
Section: Barriers To Adopting These Metricsmentioning
confidence: 99%
“…For example, in India the federal and some state governments made certain decisions about vaccine distribution based on a framework known as ‘eminence-based’ medicine 21. Some public health agencies withheld data from the public and did not assess baseline risk across socioeconomic groupings 22. In the USA, the CDC tracked vaccination status with demographic data,23 but it did not use ARR or NNV to guide vaccine distribution policies.…”
Section: Barriers To Adopting These Metricsmentioning
confidence: 99%