Literature DB >> 34751639

Explaining regional differences in mortality during the first wave of Covid-19 in Italy.

Ugofilippo Basellini1,2, Carlo Giovanni Camarda2.   

Abstract

Italy was hit harshly by the Covid-19 pandemic, registering more than 35,000 Covid-19 deaths between February and July 2020. During this first wave of the epidemic, the virus spread unequally across the country, with northern regions witnessing more cases and deaths. We investigate demographic and socio-economic factors contributing to the diverse regional impact of the virus during the first wave. Using generalized additive mixed models, we find that Covid-19 mortality at regional level is negatively associated with the degree of intergenerational co-residence, number of intensive care unit beds per capita, and delay in the outbreak of the epidemic. Conversely, we do not find strong associations for several variables highlighted in recent literature, such as population density or the share of the population who are older or have at least one chronic disease. Our results underscore the importance of context-specific analysis for the study of a pandemic.

Entities:  

Keywords:  Poisson regression; SARS-CoV-2; demographic factors; generalized additive mixed model; mortality modelling; regional differences; smoothing; socio-economic determinants

Mesh:

Year:  2021        PMID: 34751639     DOI: 10.1080/00324728.2021.1984551

Source DB:  PubMed          Journal:  Popul Stud (Camb)        ISSN: 0032-4728


  2 in total

1.  Close kin influence COVID-19 precautionary behaviors and vaccine acceptance of older individuals.

Authors:  Bruno Arpino; Valeria Bordone; Giorgio Di Gessa
Journal:  Res Sq       Date:  2022-06-02

2.  Heterogeneity in subnational mortality in the context of the COVID-19 pandemic: the case of Belgian districts in 2020.

Authors:  Benjamin-Samuel Schlüter; Bruno Masquelier; Carlo Giovanni Camarda
Journal:  Arch Public Health       Date:  2022-05-06
  2 in total

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