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ABSTRACT: Background
The US Centers for Disease Control and Prevention (CDC) regularly issues "travel health notices" that address disease outbreaks of novel coronavirus disease (COVID)-19 in destinations worldwide. The notices are classified into 3 levels based on the risk posed by the outbreak and what precautions should be in place to prevent spreading. What objectively observed criteria of these COVID-19 situations are required for classification and visualization? This study aimed to visualize the epidemic outbreak and the provisional case fatality rate (CFR) using the Rasch model and Bayes's theorem and developed an algorithm that classifies countries/regions into categories that are then shown on Google Maps.Methods
We downloaded daily COVID-19 outbreak numbers for countries/r
SUBMITTER: Jen TH
PROVIDER: S-EPMC7302653 | biostudies-literature | 2020 Jun
REPOSITORIES: biostudies-literature