Data based model for predicting COVID-19 morbidity and mortality in metropolis.

ABSTRACT: There is an ongoing need for scientific analysis to help governments and public health authorities make decisions regarding the COVID-19 pandemic. This article presents a methodology based on data mining that can offer support for coping with epidemic diseases. The methodological approach was applied in São Paulo, Rio de Janeiro and Manaus, the cities in Brazil with the most COVID-19 deaths until the first half of 2021. We aimed to predict the evolution of COVID-19 in metropolises and identify air quality and meteorological variables correlated with confirmed cases and deaths. The statistical analyses indicated the most important explanatory environmental variables, while the cluster analyses showed the potential best input variables for the forecasting models. The forecast models were bui

SUBMITTER: Barcellos DDS 

PROVIDER: S-EPMC8716530 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature