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

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...

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Autores principales: Vasudevan, Varun, Gnanasekaran, Abeynaya, Sankar, Varsha, Vasudevan, Siddarth A., Zou, James
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8223181/
https://www.ncbi.nlm.nih.gov/pubmed/34167499
http://dx.doi.org/10.1186/s12889-021-11054-7
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author Vasudevan, Varun
Gnanasekaran, Abeynaya
Sankar, Varsha
Vasudevan, Siddarth A.
Zou, James
author_facet Vasudevan, Varun
Gnanasekaran, Abeynaya
Sankar, Varsha
Vasudevan, Siddarth A.
Zou, James
author_sort Vasudevan, Varun
collection PubMed
description 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 45 indicators to assess the quality of COVID-19 data reporting. The framework captures four key aspects of public health data reporting – availability, accessibility, granularity, and privacy. We used this framework to calculate a COVID-19 Data Reporting Score (CDRS, ranging from 0–1) for each state. RESULTS: Our results indicate a large disparity in the quality of COVID-19 data reporting across India. CDRS varies from 0.61 (good) in Karnataka to 0.0 (poor) in Bihar and Uttar Pradesh, with a median value of 0.26. Ten states do not report data stratified by age, gender, comorbidities or districts. Only ten states provide trend graphics for COVID-19 data. In addition, we identify that Punjab and Chandigarh compromised the privacy of individuals under quarantine by publicly releasing their personally identifiable information. The CDRS is positively associated with the state’s sustainable development index for good health and well-being (Pearson correlation: r=0.630,p=0.0003). CONCLUSIONS: 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at (10.1186/s12889-021-11054-7).
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spelling pubmed-82231812021-06-25 Disparity in the quality of COVID-19 data reporting across India Vasudevan, Varun Gnanasekaran, Abeynaya Sankar, Varsha Vasudevan, Siddarth A. Zou, James BMC Public Health Research Article 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 45 indicators to assess the quality of COVID-19 data reporting. The framework captures four key aspects of public health data reporting – availability, accessibility, granularity, and privacy. We used this framework to calculate a COVID-19 Data Reporting Score (CDRS, ranging from 0–1) for each state. RESULTS: Our results indicate a large disparity in the quality of COVID-19 data reporting across India. CDRS varies from 0.61 (good) in Karnataka to 0.0 (poor) in Bihar and Uttar Pradesh, with a median value of 0.26. Ten states do not report data stratified by age, gender, comorbidities or districts. Only ten states provide trend graphics for COVID-19 data. In addition, we identify that Punjab and Chandigarh compromised the privacy of individuals under quarantine by publicly releasing their personally identifiable information. The CDRS is positively associated with the state’s sustainable development index for good health and well-being (Pearson correlation: r=0.630,p=0.0003). CONCLUSIONS: 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at (10.1186/s12889-021-11054-7). BioMed Central 2021-06-24 /pmc/articles/PMC8223181/ /pubmed/34167499 http://dx.doi.org/10.1186/s12889-021-11054-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Vasudevan, Varun
Gnanasekaran, Abeynaya
Sankar, Varsha
Vasudevan, Siddarth A.
Zou, James
Disparity in the quality of COVID-19 data reporting across India
title Disparity in the quality of COVID-19 data reporting across India
title_full Disparity in the quality of COVID-19 data reporting across India
title_fullStr Disparity in the quality of COVID-19 data reporting across India
title_full_unstemmed Disparity in the quality of COVID-19 data reporting across India
title_short Disparity in the quality of COVID-19 data reporting across India
title_sort disparity in the quality of covid-19 data reporting across india
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8223181/
https://www.ncbi.nlm.nih.gov/pubmed/34167499
http://dx.doi.org/10.1186/s12889-021-11054-7
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