Excess mortality during the COVID-19 outbreak in Italy: a two-stage interrupted time-series analysis.

ABSTRACT:

Background

Italy was the first country outside China to experience the impact of the COVID-19 pandemic, which resulted in a significant health burden. This study presents an analysis of the excess mortality across the 107 Italian provinces, stratified by sex, age group and period of the outbreak.

Methods

The analysis was performed using a two-stage interrupted time-series design using daily mortality data for the period January 2015-May 2020. In the first stage, we performed province-level quasi-Poisson regression models, with smooth functions to define a baseline risk while accounting for trends and weather conditions and to flexibly estimate the variation in excess risk during the outbreak. Estimates were pooled in the second stage using a mixed-effects multivariate meta-a

SUBMITTER: Scortichini M 

PROVIDER: S-EPMC7665549 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature