Generalized models and the impacts of population density on COVID-19 transmission
| Autor: | Amaury de Souza, Marcel Carvalho Abreu, José Francisco de Oliveira-Júnior, Widinei Alves Fernandes, Flávio Aristone, Debora Martins de Souza, Silvania Donato da Silva, Elania Barros da Silva |
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| Jazyk: | portugalština |
| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | Journal Health NPEPS, Vol 6, Iss 2, Pp 1-23 (2021) |
| Druh dokumentu: | article |
| ISSN: | 25261010 2526-1010 |
| DOI: | 10.30681/252610105597 |
| Popis: | ABSTRACT Objective:to analyze epidemic curves based on mathematical models for the state of Mato Grosso do Sul and the impacts of population density on COVID-19 transmission. Method: the linear, polynomial and exponential regression model was used to make the numerical adjustment of the respective curves empirical. Result: it was found that the models used describe very well the empirical curves in which they were tested. In particular, the polynomial model is able to identify with reasonable reliability the appearance of the inflection point in the accumulated curves, which corresponds to the maximum point of the respective daily curves. The analysis indicates a weak positive correlation between infection, mortality, lethality and deaths from COVID-19 with population density, as revealed by the correlation and analysis of R2. Conclusion: the models are very effective in describing the COVID-19 and epidemic curves in the estimation of important epidemiological parameters, such as peak case curves and daily deaths, allowing practical and efficient monitoring of the evolution of the epidemic. |
| Databáze: | Directory of Open Access Journals |
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