International Journal of Statistics and Applied Mathematics
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International Journal of Statistics and Applied Mathematics

2022, Vol. 7, Issue 3, Part A

A negative binomial regression analysis for COVID-19 death cases in Senegal


Author(s): Mouhamed Amine NIANG, Aba DIOP, Cheikh Tidiane SECK, Ibrahima FAYE, Abdourahmane NDAO and Idrissa SY

Abstract: We consider the negative binomial regression model (NBRM) to identify explanatory factors of the number of daily COVID-19 death cases in Senegal. The data are obtained from daily cases of COVID-19 following press releases from the Ministry of Health and Social Action (MSAS) during the period from February 24, 2021 to March 3, 2022. The extracted data were analysed using descriptive statistics and NBRM. The results of analysis revealed that the number of severe cases has a significant positive impact on the number of death cases of COVID-19 in Senegal. Furthermore, the number of vaccinated persons has a small and negative effect on the number of deaths.

DOI: 10.22271/maths.2022.v7.i3a.817

Pages: 06-12 | Views: 138 | Downloads: 26

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How to cite this article:
Mouhamed Amine NIANG, Aba DIOP, Cheikh Tidiane SECK, Ibrahima FAYE, Abdourahmane NDAO, Idrissa SY. A negative binomial regression analysis for COVID-19 death cases in Senegal. Int J Stat Appl Math 2022;7(3):06-12. DOI: 10.22271/maths.2022.v7.i3a.817
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