DOAJ Open Access 2025

The Bayesian Hidden Markov Chain Modeling of the Ghana COVID-19 Blood Type Infection Distribution

Joseph Johnson Kwabina Arhinful Emmanuel deGraft Johnson Owusu-Ansah Burnett Tetteh Accam Olusola Atinuke Adebanji

Abstrak

This work uses the Bayesian Poisson-Hidden Markov Model (BP-HMM) to develop a model that properly describes the blood type distribution among newly diagnosed COVID-19 patients. The study estimated the number of Hidden states for COVID-19 datasets from Ghana based on blood type distribution. The study's results show that the number of hidden states and rates of infection vary by blood type, four hidden states were found for the $AB^{-}$ blood group whereas all the others had five each. It was established that, the blood group O had the highest infection rate and more susceptible for an infected person deteriorated through the transition states.

Topik & Kata Kunci

Mathematics Probabilities. Mathematical statistics

Penulis (4)

Joseph Johnson Kwabina Arhinful

Emmanuel deGraft Johnson Owusu-Ansah

Burnett Tetteh Accam

Olusola Atinuke Adebanji

Format Sitasi

APA MLA BibTeX

Arhinful, J.J.K., Owusu-Ansah, E.d.J., Accam, B.T., Adebanji, O.A. (2025). The Bayesian Hidden Markov Chain Modeling of the Ghana COVID-19 Blood Type Infection Distribution. https://doi.org/10.23755/rm.v54i0.1602

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Informasi Jurnal

Tahun Terbit: 2025
Sumber Database: DOAJ
DOI: 10.23755/rm.v54i0.1602
Akses: Open Access ✓