Age-sex population adjusted analysis of disease severity in epidemics as a tool to devise public health policies for COVID-19.

ABSTRACT: Governments continue to update social intervention strategies to contain COVID-19 infections. However, investigation of COVID-19 severity indicators across the population might help to design more precise strategies, balancing the need to keep people safe and to reduce the socio-economic burden of generalized restriction precedures. Here, we propose a method for age-sex population-adjusted analysis of disease severity in epidemics that has the advantage to use simple and repeatable variables, which are daily or weekly available. This allows to monitor the effect of public health policies in short term, and to repeat these calculations over time to surveille epidemic dynamics and impact. Our method can help to define a risk-categorization of likeliness to develop a severe COVID-19 disease w

SUBMITTER: Cannistraci CV 

PROVIDER: S-EPMC8175671 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature