Variation in COVID-19 Data Reporting Across India: 6 Months into the Pandemic

Vasudevan, Varun; Gnanasekaran, Abeynaya; Sankar, Varsha; Vasudevan, Siddarth A.; Zou, James

doi:10.1007/s41745-020-00188-z

Cited by 8 publications

(12 citation statements)

References 4 publications

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“…Overall, the quality of surveillance reporting has improved since 2020. Median surveillance reporting score has increased from 0.26 in May 2020 [7] and 0.30 in July 2020 [8]. This increase is primarily due to the consistent availability of high-level surveillance data through MyGov.…”

Section: Discussionmentioning

confidence: 99%

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Assessment of COVID-19 data reporting in 100+ websites and apps in India

Vasudevan¹,

Gnanasekaran²,

Bansal³

et al. 2021

Preprint

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— A comprehensive analysis of more than 100 digital platforms (web and mobile) from India shows a lack of granular data in the reporting of COVID-19 surveillance, vaccination monitoring, and bed availability.— As of 5 June 2021, age and gender distribution is available for less than 22% of cases and deaths; and comorbidity distribution is available for less than 30% of deaths.— Total vaccination stratified by healthcare workers, frontline workers, and age brackets is reported by only 14 out of the 36 subnationals (states and union territories) in India. — There is no reporting of adverse events following immunization by vaccine and event type. — By showing what, where, and how much data is missing, we join the Indian scientific community in pushing for a more responsible and transparent reporting of granular data.

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Section: Discussionmentioning

confidence: 99%

“…• The second COVID-19 wave is significantly larger than the first and led to a severe shortage of resources like oxygen beds. [6] Therefore, it is important to know if the surveillance reporting adapted to the worsening pandemic [7,8] and if there was reporting on the resources that were in shortage.…”

Section: Introductionmentioning

confidence: 99%

Assessment of COVID-19 data reporting in 100+ websites and apps in India

Vasudevan¹,

Gnanasekaran²,

Bansal³

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

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“…Our approach to selecting indicators was deliberately minimalistic. We did not rank or rate the usability or "user friendliness" of subnational data dashboards, or the consistency of data reporting over time (Vasudevan et al 2020). Nor did we attempt to look "behind" the numbers to recover the process by which subnational surveillance was produced (Merry 2016 Using these indicators, we constructed a quantitative codebook.…”

Section: R I P Tmentioning

confidence: 99%

Who Counts Where? COVID-19 Surveillance in Federal Countries

Rocco

Rich

Klasa

et al. 2021

Journal of Health Politics, Policy and Law

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Context: While the World Health Organization (WHO) has established guidance on COVID-19 surveillance, little is known about implementation of these guidelines in federations, which fragment authority across multiple levels of government. This study examines how subnational governments in federal democracies collect and report data on COVID-19 cases and mortality associated with COVID-19. Methods: We collected data from subnational government websites in 15 federal democracies to construct indices of COVID-19 data quality. Using bivariate and multivariate regression, we analyzed the relationship between these indices and indicators of state capacity, the decentralization of resources and authority, and the quality of democratic institutions. We supplement these quantitative analyses with qualitative case studies of subnational COVID-19 data in Brazil, Spain, and the United States. Findings: Subnational governments in federations vary in their collection of data on COVID-19 mortality, testing, hospitalization, and demographics. There are statistically significant associations (p<0.05) between subnational data quality and key indicators of public health system capacity, fiscal decentralization, and the quality of democratic institutions. Case studies illustrate the importance of both governmental and civil-society institutions that foster accountability. Conclusions: The quality of subnational COVID-19 surveillance data in federations depends in part on public health system capacity, fiscal decentralization, and the quality of democracy.

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“…It spread to the entire World very rapidly causing several cases of infections and deaths. On 15 th March 2020, the Government of Goa [2] decided to close all the schools and colleges for students with immediate effect owing to the rapid spread of this virus. On 22 nd March 2020, Our Honorable Prime Minister, Shri Narendra Modi declared the first lockdown which prohibited movement of all persons except for essential needs.…”

Section: Introductionmentioning

confidence: 99%

Planning, Monitoring, Controlling and Reflecting Factors Associated with Online Learning Patterns of Students during COVID-19 Pandemic in the State of Goa

Sawant¹

2021

IJRASET

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The Coronavirus outbreak which began in December 2019 became a world-wide pandemic by March 2020. In India there was a lockdown which started early April 2020. It had a huge impact on each and every aspect of human life disrupting the daily routines of every individual. The education industry had to adapt to this new change in a speedy and most feasible way by shifting to virtual classes over the internet and other available resources. We tried to survey the efforts required to learn online and the impact of online classes.We prepared a questionnaire and grouped it into 4 categories namely, planning, monitoring, controlling and reflecting. We have tried to understand the impact of this paradigm shift to virtual and online learning in these pandemic times from the students' perspective.

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Variation in COVID-19 Data Reporting Across India: 6 Months into the Pandemic

Cited by 8 publications

References 4 publications

Assessment of COVID-19 data reporting in 100+ websites and apps in India

Assessment of COVID-19 data reporting in 100+ websites and apps in India

Who Counts Where? COVID-19 Surveillance in Federal Countries

Planning, Monitoring, Controlling and Reflecting Factors Associated with Online Learning Patterns of Students during COVID-19 Pandemic in the State of Goa

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