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Underreporting COVID-19: the curious case of the Indian subcontinent

COVID-19 has spread across the globe with higher burden placed in Europe and North America. However, the rate of transmission has recently picked up in low- and middle-income countries, particularly in the Indian subcontinent. There is a severe underreporting bias in the existing data available from...

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Detalles Bibliográficos
Autores principales: Biswas, Raaj Kishore, Afiaz, Awan, Huq, Samin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7508490/
https://www.ncbi.nlm.nih.gov/pubmed/32912354
http://dx.doi.org/10.1017/S0950268820002095
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author Biswas, Raaj Kishore
Afiaz, Awan
Huq, Samin
author_facet Biswas, Raaj Kishore
Afiaz, Awan
Huq, Samin
author_sort Biswas, Raaj Kishore
collection PubMed
description COVID-19 has spread across the globe with higher burden placed in Europe and North America. However, the rate of transmission has recently picked up in low- and middle-income countries, particularly in the Indian subcontinent. There is a severe underreporting bias in the existing data available from these countries mostly due to the limitation of resources and accessibility. Most studies comparing cross-country cases or fatalities could fail to account for this systematic bias and reach erroneous conclusions. This paper provides several recommendations on how to effectively tackle these issues regarding data quality, test coverage and case counts.
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spelling pubmed-75084902020-09-23 Underreporting COVID-19: the curious case of the Indian subcontinent Biswas, Raaj Kishore Afiaz, Awan Huq, Samin Epidemiol Infect Opinions – For Debate COVID-19 has spread across the globe with higher burden placed in Europe and North America. However, the rate of transmission has recently picked up in low- and middle-income countries, particularly in the Indian subcontinent. There is a severe underreporting bias in the existing data available from these countries mostly due to the limitation of resources and accessibility. Most studies comparing cross-country cases or fatalities could fail to account for this systematic bias and reach erroneous conclusions. This paper provides several recommendations on how to effectively tackle these issues regarding data quality, test coverage and case counts. Cambridge University Press 2020-09-11 /pmc/articles/PMC7508490/ /pubmed/32912354 http://dx.doi.org/10.1017/S0950268820002095 Text en © The Author(s) 2020 http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Opinions – For Debate
Biswas, Raaj Kishore
Afiaz, Awan
Huq, Samin
Underreporting COVID-19: the curious case of the Indian subcontinent
title Underreporting COVID-19: the curious case of the Indian subcontinent
title_full Underreporting COVID-19: the curious case of the Indian subcontinent
title_fullStr Underreporting COVID-19: the curious case of the Indian subcontinent
title_full_unstemmed Underreporting COVID-19: the curious case of the Indian subcontinent
title_short Underreporting COVID-19: the curious case of the Indian subcontinent
title_sort underreporting covid-19: the curious case of the indian subcontinent
topic Opinions – For Debate
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7508490/
https://www.ncbi.nlm.nih.gov/pubmed/32912354
http://dx.doi.org/10.1017/S0950268820002095
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