A numerical simulation of the COVID-19 epidemic in Argentina using the SEIR model
| Autor: | Santos, Juan E., Carcione, Jose' M., Savioli, Gabriela B., Gauzellino, Patricia M., Ravecca, Alejandro, Moras, Alfredo |
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| Rok vydání: | 2020 |
| Předmět: | |
| Druh dokumentu: | Working Paper |
| Popis: | A pandemic caused by a new coronavirus has spread worldwide, affecting Argentina. We implement an SEIR model to analyze the disease evolution in Buenos Aires and neighbouring cities. The model parameters are calibrated using the number of casualties officially reported. Since infinite solutions honour the data, we show different cases. In all of them the reproduction ratio $R_0$ decreases after early lockdown, but then raises, probably due to an increase in contagion in highly populated slums. Therefore it is mandatory to reverse this growing trend in $R_0$ by applying control strategies to avoid a high number of infectious and dead individuals. The model provides an effective procedure to estimate epidemic parameters (fatality rate, transmission probability, infection and incubation periods) and monitor control measures during the epidemic evolution. Comment: arXiv admin note: substantial text overlap with arXiv:2004.03575 |
| Databáze: | arXiv |
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