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Modeling COVID-19 Death Rates in Populations with Comorbidities

ClusterCurrent evidence shows that prevalence of certain comorbidities in a given population could make it more vulnerable to serious outcomes of COVID-19, including fatality. A new mixture of polynomial time series (MoPTS) model was developed to simultaneously identify (a) clusters of U.S. cities in terms of their COVID-19 death rates, and (b) the different associations of those rates with some key comorbidities among the populations represented in the clusters. The study was conducted by Saumyadipta Pyne and collaborators (M. Maleki, R. Gurewitsch, M. Aruru, and G.J. McLachlan, University of Queensland).

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