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

India is among the top three countries in the world both in COVID-19 case and death counts. With the pandemic far from over, timely, transparent, and accessible reporting of COVID-19 data continues to be critical for India’s pandemic efforts. We systematically analyze the quality of reporting of COV...

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Autores principales: Vasudevan, Varun, Gnanasekaran, Abeynaya, Bansal, Bhavik, Lahariya, Chandrakant, Parameswaran, Giridara Gopal, Zou, James
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10022220/
https://www.ncbi.nlm.nih.gov/pubmed/36962176
http://dx.doi.org/10.1371/journal.pgph.0000329
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author Vasudevan, Varun
Gnanasekaran, Abeynaya
Bansal, Bhavik
Lahariya, Chandrakant
Parameswaran, Giridara Gopal
Zou, James
author_facet Vasudevan, Varun
Gnanasekaran, Abeynaya
Bansal, Bhavik
Lahariya, Chandrakant
Parameswaran, Giridara Gopal
Zou, James
author_sort Vasudevan, Varun
collection PubMed
description India is among the top three countries in the world both in COVID-19 case and death counts. With the pandemic far from over, timely, transparent, and accessible reporting of COVID-19 data continues to be critical for India’s pandemic efforts. We systematically analyze the quality of reporting of COVID-19 data in over one hundred government platforms (web and mobile) from India. Our analyses reveal a lack of granular data in the reporting of COVID-19 surveillance, vaccination, and vacant bed availability. As of 5 June 2021, age and gender distribution are available for less than 22% of cases and deaths, and comorbidity distribution is available for less than 30% of deaths. Amid rising concerns of undercounting cases and deaths in India, our results highlight a patchy reporting of granular data even among the reported cases and deaths. Furthermore, total vaccination stratified by healthcare workers, frontline workers, and age brackets is reported by only 14 out of India’s 36 subnationals (states and union territories). 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 highlight the need for a more responsible and transparent reporting of granular COVID-19 data in India.
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spelling pubmed-100222202023-03-17 Assessment of COVID-19 data reporting in 100+ websites and apps in India Vasudevan, Varun Gnanasekaran, Abeynaya Bansal, Bhavik Lahariya, Chandrakant Parameswaran, Giridara Gopal Zou, James PLOS Glob Public Health Research Article India is among the top three countries in the world both in COVID-19 case and death counts. With the pandemic far from over, timely, transparent, and accessible reporting of COVID-19 data continues to be critical for India’s pandemic efforts. We systematically analyze the quality of reporting of COVID-19 data in over one hundred government platforms (web and mobile) from India. Our analyses reveal a lack of granular data in the reporting of COVID-19 surveillance, vaccination, and vacant bed availability. As of 5 June 2021, age and gender distribution are available for less than 22% of cases and deaths, and comorbidity distribution is available for less than 30% of deaths. Amid rising concerns of undercounting cases and deaths in India, our results highlight a patchy reporting of granular data even among the reported cases and deaths. Furthermore, total vaccination stratified by healthcare workers, frontline workers, and age brackets is reported by only 14 out of India’s 36 subnationals (states and union territories). 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 highlight the need for a more responsible and transparent reporting of granular COVID-19 data in India. Public Library of Science 2022-04-15 /pmc/articles/PMC10022220/ /pubmed/36962176 http://dx.doi.org/10.1371/journal.pgph.0000329 Text en © 2022 Vasudevan et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Vasudevan, Varun
Gnanasekaran, Abeynaya
Bansal, Bhavik
Lahariya, Chandrakant
Parameswaran, Giridara Gopal
Zou, James
Assessment of COVID-19 data reporting in 100+ websites and apps in India
title Assessment of COVID-19 data reporting in 100+ websites and apps in India
title_full Assessment of COVID-19 data reporting in 100+ websites and apps in India
title_fullStr Assessment of COVID-19 data reporting in 100+ websites and apps in India
title_full_unstemmed Assessment of COVID-19 data reporting in 100+ websites and apps in India
title_short Assessment of COVID-19 data reporting in 100+ websites and apps in India
title_sort assessment of covid-19 data reporting in 100+ websites and apps in india
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10022220/
https://www.ncbi.nlm.nih.gov/pubmed/36962176
http://dx.doi.org/10.1371/journal.pgph.0000329
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