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Disparity in the quality of Covid-19 data reporting across India

Bibliographic Data

ID15367239
AuthorsVarun Vasudevan (0000-0001-5013-6836, Institute of Mathematical Statistics, corresponding author), Abeynaya Gnanasekaran (0000-0001-7088-9261, Stanford University), Varsha Sankar (0000-0003-2820-7532), Siddarth A Vasudevan (0000-0003-2471-2793), James Zou (0000-0001-8880-4764, Stanford University)
Year2021
Volume21
Issue1
Pages1211-1211
Publication date2021-06-24
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueBMC Public Health (JOURNAL)
Journal identifiersISSN: 1471-2458 • E-ISSN: 1471-2458
PublisherBioMed Central (PUBLISHER • GB)
DOI10.1186/s12889-021-11054-7
PMID34167499
OpenAlexW3176290535
LanguageEN
Citations received14
References cited18

Our assessment informs the public health efforts in India and serves as a guideline for pandemic data reporting. The disparity in CDRS highlights three important findings at the national, state, and individual level. At the national level, it shows the lack of a unified framework for reporting COVID-19 data in India, and highlights the need for a central agency to monitor or audit the quality of data reporting done by the states. Without a unified framework, it is difficult to aggregate the data from different states, gain insights, and coordinate an effective nationwide response to the pandemic. Moreover, it reflects the inadequacy in coordination or sharing of resources among the states. The disparate reporting score also reflects inequality in individual access to public health information and privacy protection based on the state of residence

Biostatistics · Business · Coronavirus disease 2019 (COVID-19 · Data quality · Environmental health · Pandemic · Public health · COVID-19 Digital Contact Tracing · COVID-19 epidemiological studies · Data-Driven Disease Surveillance · Medicine · Nursing

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Unique citing works14
Citations per year2,8
Citation span2021 - 2026 (6)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 14

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