Quantifying and communicating the burden of COVID-19.

ABSTRACT:

Background

An essential aspect of preventing further COVID-19 outbreaks and to learn for future pandemics is the evaluation of different political strategies, which aim at reducing transmission of and mortality due to COVID-19. One important aspect in this context is the comparison of attributable mortality.

Methods

We give a comprehensive overview of six epidemiological measures that are used to quantify COVID-19 attributable mortality (p-score, standardized mortality ratio, absolute number of excess deaths, per capita rate, z-score and the population attributable fraction).

Results

By defining the six measures based on observed and expected deaths, we explain their relationship. Moreover, three publicly available data examples serve to illustrate the interpretationa

SUBMITTER: von Cube M 

PROVIDER: S-EPMC8353440 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature