2023
DOI: 10.1101/2023.01.27.23285043
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A large-scale machine learning study of sociodemographic factors contributing to COVID-19 severity

Abstract: Understanding sociodemographic factors behind COVID-19 severity relates to significant methodological difficulties, such as differences in testing policies and epidemics phase, as well as a large number of predictors that can potentially contribute to severity. To account for these difficulties, we assemble 115 predictors for more than 3000 US counties and employ a well-defined COVID-19 severity measure derived from epidemiological dynamics modeling. We then use a number of advanced feature selection technique… Show more

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