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

Rafiqul Chowdhury; Gary Sneddon; M. Tariqul Hasan; Rafiqul Chowdhury; Gary Sneddon; M. Tariqul Hasan

doi:10.3934/mbe.2020323

Mathematical Biosciences and Engineering

2020, Volume 17, Issue 5: 6085-6097. doi: 10.3934/mbe.2020323

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

1.
Department of Mathematics and Statistics, University of New Brunswick, Fredericton, NB E3B 5A3, Canada
2.
Mathematics Department, Mount Saint Vincent University, Halifax, NS, B3M 2J6, Canada

Received: 23 July 2020 Accepted: 07 September 2020 Published: 14 September 2020

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.
- Bivariate Poisson,
- count data,
- daily death,
- marginal conditional models,
- new cases
Citation: Rafiqul Chowdhury, Gary Sneddon, M. Tariqul Hasan. Analyzing the effect of duration on the daily new cases of COVID-19 infections and deaths using bivariate Poisson regression: a marginal conditional approach[J]. Mathematical Biosciences and Engineering, 2020, 17(5): 6085-6097. doi: 10.3934/mbe.2020323

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Abstract

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.

References

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