A systematic review of excess all-cause mortality estimation studies in India during COVID-19 pandemic

ABSTRACT:

Background

Mortality statistics are fundamental to understand the magnitude of the COVID-19 pandemic. Due to limitation of real-time data availability, researchers had used mathematical models to estimate excess mortality globally during COVID-19 pandemic. As they demonstrated variations in scope, assumptions, estimations, and magnitude of the pandemic, and hence raised a controversy all over the world. This paper aims to review the mathematical models and their estimates of mortality due to COVID-19 in the Indian context.

Methods

The PRISMA and SWiM guidelines were followed to the best possible extent. A two-step search strategy was used to identify studies that estimated excess deaths from January 2020 to December 2021 on Medline, Google Scholar, MedRxiv and BioRxiv ava

SUBMITTER: Kumar Yadav A 

PROVIDER: S-EPMC10105293 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature