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COVID-19 morbidity and mortality forecast in megalopolis: a data approach to public health management in São Paulo, Brazil
[post]
2020
unpublished
The need for a scientific approach that can provide subsidies to governments and public health authorities in decision making to face pandemics, epidemics and endemics was one of the aspects recognized worldwide with the first wave of COVID-19. This article presents a methodology for the application of data mining as a support tool for coping with epidemic diseases. The methodological approach was applied in the city of São Paulo, Brazil, with the aim of predicting the evolution of COVID-19 in
doi:10.21203/rs.3.rs-111897/v1
fatcat:4hwca4ys5bdk7ckxwltqvzntc4