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

Ramalingam Shanmugam, Lawrence Fulton (), Jose Betancourt, Gerardo J. Pacheco and Keya Sen
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Ramalingam Shanmugam: School of Health Administration, Texas State University, San Marcos, TX 78666, USA
Lawrence Fulton: Applied Analytics, Boston College, Chestnut Hill, MA 02467, USA
Jose Betancourt: School of Health Administration, Texas State University, San Marcos, TX 78666, USA
Gerardo J. Pacheco: School of Health Administration, Texas State University, San Marcos, TX 78666, USA
Keya Sen: School of Health Administration, Texas State University, San Marcos, TX 78666, USA

Mathematics, 2023, vol. 11, issue 14, 1-11

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.

Keywords: incidence rate restriction; Poisson distribution; over dispersion; index of infectivity; leverage level (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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