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

Autor:	Ramalingam Shanmugam, Lawrence Fulton, Jose Betancourt, Gerardo J. Pacheco, Keya Sen
Jazyk:	angličtina
Rok vydání:	2023
Předmět:	incidence rate restriction Poisson distribution over dispersion index of infectivity leverage level Mathematics QA1-939
Zdroj:	Mathematics, Vol 11, Iss 14, p 3112 (2023)
Druh dokumentu:	article
ISSN:	2227-7390
DOI:	10.3390/math11143112
Popis:	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.
Databáze:	Directory of Open Access Journals
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