COVID-19 in Londrina-PR: SEIR Model with Parameter Optimization
DOI:
https://doi.org/10.5433/1679-0375.2021v42n1Suplp45Keywords:
COVID-19. Londrina-PR, SEIR model, Parameter optimization, ODE, Bio-MathematicsAbstract
The first cases of COVID-19 in Londrina-PR were manifested in March 2020 and the disease lasts until the present moment. We aim to inform citizens in a scientific way about how the disease spreads. The present work seeks to describe the behavior of the disease over time. We started from a compartmental model of ordinary differential equations like SEIR to find relevant information such as: transmission rates and prediction of the peak of infected people. We used the data released by city hall of Londrina to carry out simulations in periods of 14 days, applying a parameter optimization technique to obtain results with thegreatest possible credibility.Downloads
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