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

Author:

Shewade Hemant Deepak,Parameswaran Giridara Gopal,Mazumder Archisman,Gupta Mohak

Abstract

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.

Publisher

Frontiers Media SA

Subject

Public Health, Environmental and Occupational Health

Reference37 articles.

1. The origin of SARS-CoV-2;Burki;Lancet Infect Dis.,2020

2. WHO Director-General's opening remarks at the media briefing on COVID-19-−11 March 20202020

3. COVID-19 Coronavirus pandemic WorldometerCoronavirus 2020

4. COVID-19 India FETPNetwork—India 2020

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