Current COVID-19 Epidemic Risks in Brazil

Authors: Gaidai O , Liu Z , Wang K and Bai X

DOI: 10.23880/eij-16000259

Volume 7, Issue 2

Abstract

This research uses raw clinical observational data to propose a new spatio-temporal approach for the precise prediction of the likelihood of the COVID-19 epidemic occurring at any moment in any interest Brazil state. This article presents a new bio-system reliability method that is especially appropriate for multi-regional environmental and health systems and that has been watched for a long enough time to produce a reliable long-term forecast of the likelihood of a virus outbreak. All impacted Brazilian states' daily COVID-19 recorded patient counts were taken into consideration. This research sought to benchmark a cutting-edge technique that allows for the analysis of dynamically witnessed patient numbers while accounting for pertinent regional mapping. The suggested strategy might assist in keeping track of and forecasting potential pandemic breakouts in a wide range of multi-regional biological systems.

Keywords: COVID-19; Epidemic Outbreak; Risk Forecast; Public Health; Mathematical Biology

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