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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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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. |
format | Online Article Text |
id | pubmed-10022220 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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