Analyzing the effect of duration on the daily new cases of COVID-19 infections and deaths using bivariate Poisson regression: a marginal conditional approach

Autor: Rafiqul Chowdhury, Gary Sneddon, M. Tariqul Hasan
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Mathematical Biosciences and Engineering, Vol 17, Iss 5, Pp 6085-6097 (2020)
Druh dokumentu: article
ISSN: 1551-0018
DOI: 10.3934/mbe.2020323?viewType=HTML
Popis: The whole world is devastated by the impact of the COVID-19 pandemic. The socioeconomic and other effects of COVID-19 on people are visible in all echelons of society. The main goal of countries is to stop the spreading of this pandemic by reducing the COVID-19 related new cases and deaths. In this paper, we analyzed the correlated count outcomes, daily new cases, and fatalities, and assessed the impact of some covariates by adopting a generalized bivariate Poisson model. There are different effects of duration on new cases and deaths in different countries. Also, the regional variation found to be different, and population density has a significant impact on outcomes.
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