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Adjusting Reported COVID-19 Deaths for the Prevailing Routine Death Surveillance in India

In India, the “low mortality” narrative based on the reported COVID-19 deaths may be causing more harm than benefit. The extent to which COVID-19 deaths get reported depends on the coverage of routine death surveillance [death registration along with medical certification of cause of death (MCCD)] a...

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Autores principales: Shewade, Hemant Deepak, Parameswaran, Giridara Gopal, Mazumder, Archisman, Gupta, Mohak
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8374621/
https://www.ncbi.nlm.nih.gov/pubmed/34422738
http://dx.doi.org/10.3389/fpubh.2021.641991
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author Shewade, Hemant Deepak
Parameswaran, Giridara Gopal
Mazumder, Archisman
Gupta, Mohak
author_facet Shewade, Hemant Deepak
Parameswaran, Giridara Gopal
Mazumder, Archisman
Gupta, Mohak
author_sort Shewade, Hemant Deepak
collection PubMed
description In India, the “low mortality” narrative based on the reported COVID-19 deaths may be causing more harm than benefit. The extent to which COVID-19 deaths get reported depends on the coverage of routine death surveillance [death registration along with medical certification of cause of death (MCCD)] and the errors in MCCD. In India, the coverage of routine death surveillance is 18.1%. This is compounded by the fact that COVID-19 death reporting is focused among reported cases and the case detection ratio is low. To adjust for the coverage of routine death surveillance and errors in MCCD, we calculated a correction (multiplication) factor at national and state level to produce an estimated number of COVID-19 deaths. As on July 31, 2020, we calculated the infection fatality ratio (IFR) for India (0.58:100–1.16:100) using these estimated COVID-19 deaths; this is comparable with the IFR range in countries with near perfect routine death surveillance. We recommend the release of excess deaths data during COVID-19 (at least in states with high death registration) and post-mortem COVID-19 testing as a surveillance activity for a better understanding of under-reporting. In its absence, we should adjust reported COVID-19 deaths for the coverage of routine death surveillance and errors in MCCD. This way we will have a clear idea of the true burden of deaths and our public health response will never be inadequate. We recommend that “reported” or “estimated” is added before the COVID-19 death data and related indicators for better clarity and interpretation.
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spelling pubmed-83746212021-08-20 Adjusting Reported COVID-19 Deaths for the Prevailing Routine Death Surveillance in India Shewade, Hemant Deepak Parameswaran, Giridara Gopal Mazumder, Archisman Gupta, Mohak Front Public Health Public Health In India, the “low mortality” narrative based on the reported COVID-19 deaths may be causing more harm than benefit. The extent to which COVID-19 deaths get reported depends on the coverage of routine death surveillance [death registration along with medical certification of cause of death (MCCD)] and the errors in MCCD. In India, the coverage of routine death surveillance is 18.1%. This is compounded by the fact that COVID-19 death reporting is focused among reported cases and the case detection ratio is low. To adjust for the coverage of routine death surveillance and errors in MCCD, we calculated a correction (multiplication) factor at national and state level to produce an estimated number of COVID-19 deaths. As on July 31, 2020, we calculated the infection fatality ratio (IFR) for India (0.58:100–1.16:100) using these estimated COVID-19 deaths; this is comparable with the IFR range in countries with near perfect routine death surveillance. We recommend the release of excess deaths data during COVID-19 (at least in states with high death registration) and post-mortem COVID-19 testing as a surveillance activity for a better understanding of under-reporting. In its absence, we should adjust reported COVID-19 deaths for the coverage of routine death surveillance and errors in MCCD. This way we will have a clear idea of the true burden of deaths and our public health response will never be inadequate. We recommend that “reported” or “estimated” is added before the COVID-19 death data and related indicators for better clarity and interpretation. Frontiers Media S.A. 2021-08-05 /pmc/articles/PMC8374621/ /pubmed/34422738 http://dx.doi.org/10.3389/fpubh.2021.641991 Text en Copyright © 2021 Shewade, Parameswaran, Mazumder and Gupta. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Shewade, Hemant Deepak
Parameswaran, Giridara Gopal
Mazumder, Archisman
Gupta, Mohak
Adjusting Reported COVID-19 Deaths for the Prevailing Routine Death Surveillance in India
title Adjusting Reported COVID-19 Deaths for the Prevailing Routine Death Surveillance in India
title_full Adjusting Reported COVID-19 Deaths for the Prevailing Routine Death Surveillance in India
title_fullStr Adjusting Reported COVID-19 Deaths for the Prevailing Routine Death Surveillance in India
title_full_unstemmed Adjusting Reported COVID-19 Deaths for the Prevailing Routine Death Surveillance in India
title_short Adjusting Reported COVID-19 Deaths for the Prevailing Routine Death Surveillance in India
title_sort adjusting reported covid-19 deaths for the prevailing routine death surveillance in india
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8374621/
https://www.ncbi.nlm.nih.gov/pubmed/34422738
http://dx.doi.org/10.3389/fpubh.2021.641991
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