Bayesian Hidden Markov Modeling of Blood Type Distribution for COVID-19 Cases Using Poisson Distribution

    December 2023 in “ International journal of statistics and probability ”
    Johnson Joseph Kwabina Arhinful, Okyere Gabriel Asare, Adebanji Atinuke Olusola, Oliver Johnson, Burnett Tetteh Accam
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    TLDR Blood type affects COVID-19 infection rates differently in Europe and Africa.
    This study uses a Bayesian Poisson - Hidden Markov Model (BP-HMM) to analyze the distribution of blood types among COVID-19 cases in European (EU) and African (AF) populations. By employing the Gibbs sampler algorithm with OpenBugs, the researchers identified the number of hidden states that best fit the data sets. The findings reveal that the number of hidden states and the infection rates vary by blood type within and between the two regions.
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