Open AccessAnalyzing the effect of duration on the daily new cases of COVID-19 infections and deaths using bivariate Poisson regression: a marginal conditional approach
Author(s) -
Rafiqul I. Chowdhury,
Gary Sneddon,
M. Tariqul Hasan
Publication year - 2020
Publication title -
mathematical biosciences and engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.451
H-Index - 45
eISSN - 1551-0018
pISSN - 1547-1063
DOI - 10.3934/mbe.2020323
Subject(s) - poisson regression , bivariate analysis , covid-19 , poisson distribution , pandemic , covariate , duration (music) , socioeconomic status , demography , count data , statistics , regression analysis , econometrics , population , multivariate statistics , geography , medicine , mathematics , disease , sociology , art , literature , pathology , infectious disease (medical specialty)
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.