Author: Renato Machado Cotta; Carolina Palma Naveira-Cotta; pierre magal
Title: Modelling the COVID-19 epidemics in Brasil: Parametric identification and public health measures influence Document date: 2020_4_3
ID: 3rmrkzuq_3
Snippet: Despite the apparent success of the interventions in China, each region or country might require a specific combination of measures, due to demographic spatial distribution and age structure, health system capabilities, and social-economical characteristics. In this sense, it urges to have a mathematical model that would allow for the simulation of such possible interventions on the epidemic evolution within the following few weeks or months. Thi.....
Document: Despite the apparent success of the interventions in China, each region or country might require a specific combination of measures, due to demographic spatial distribution and age structure, health system capabilities, and social-economical characteristics. In this sense, it urges to have a mathematical model that would allow for the simulation of such possible interventions on the epidemic evolution within the following few weeks or months. This article presents a collaborative research effort towards the construction of an epidemic evolution prediction tool, which combines direct and inverse problem analysis and is both reliable and easy to implement and execute, initially motivated by offering some insight into the control of COVID-19 within Brasil.
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