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

Rafiqul I. Chowdhury | Zendy; Gary Sneddon | Zendy; M. Tariqul Hasan | Zendy

Open Access

Analyzing 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 , pandemic , poisson distribution , covariate , demography , duration (music) , socioeconomic status , count data , statistics , regression analysis , population , econometrics , multivariate statistics , geography , medicine , mathematics , sociology , disease , art , literature , 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.

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