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Indexing of US Counties with Overdispersed Incidences of COVID-19 Deaths

Authors :
Ramalingam Shanmugam
Lawrence Fulton
Jose Betancourt
Gerardo J. Pacheco
Keya Sen
Source :
Mathematics, Vol 11, Iss 14, p 3112 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

The number of COVID-19 fatalities fluctuated widely across United States (US) counties. The number of deaths is stochastic. When the average number of deaths is equal to the dispersion, the distribution is the usual Poisson. When the average number of deaths is higher than the dispersion, the distribution is an intervened Poisson. When the average number of deaths is lower than the dispersion, the distribution is an incidence-rate-restricted Poisson (IRRP) type. Because dispersion of COVID-19 fatalities in some counties is higher than the average number of fatalities, the underlying model for the chance-oriented mechanism might be IRRP. Understanding where this overdispersion or volatility exists and the implications of it is the topic of this research. In essence, this paper focuses on the number of COVID-19 fatalities that fluctuated widely across United States (US) counties and develops an incidence-rate-restricted Poisson (IRRP) to understand where this overdispersion or volatility exists and the implications of it.

Details

Language :
English
ISSN :
22277390
Volume :
11
Issue :
14
Database :
Directory of Open Access Journals
Journal :
Mathematics
Publication Type :
Academic Journal
Accession number :
edsdoj.8dd9c1349ce04b1a9caef732bae70384
Document Type :
article
Full Text :
https://doi.org/10.3390/math11143112