Georeferenced data from the COVID-19 pandemic for the state of Rio Grande do Sul

Reported positive cases and simulated forecasts

Authors

DOI:

https://doi.org/10.53805/lads.v1i2.23

Keywords:

Georeferenced data; Mathematical modeling; COVID-19; Prediction; RS;

Abstract

In this contribution, we present the dataset of COVID-19 reported positive cases in each of the 21 groups established by the Public Health Secretary of the State of Rio Grande do Sul (RS) between March 2020 and June 2021. We further describe how such a dataset is obtained, georeferenced, and used to support the proposed mathematical modeling, aimed to forecast, the evolution of the COVID-19 in the state. Such epidemiological data set, as well as the forecasted information of the COVID-19 from mathematical modeling are stored in a database as part of the project “Exactum - Transdisciplinary Nucleus of Theory, Modeling, Technology, and Education for Combating Outbreaks, Endemics, Epidemics, and Pandemics”.

References

CHAVENT, G. Nonlinear Least Squares for Inverse Problems: Theoretical Foundations and Step-by-Step Guide for Applications, Springer, 2010. doi. 10.1007/978-90-481-2785-6.

COMITÊ DE DADOS COVID-19 CORONAVÍRUS. Modelo de Distanciamento Controlado do Rio Grande do Sul. Disponível em: <https://planejamento.rs.gov.br/upload/arquivos/202004/28124902-22160349-modelo-distanciamento-controlado-rs.pdf>. Acesso em: 17 de junho de 2021.

HASSELL, M. P.; COMINS, H. N.; MAY, R. M. Spatial structure and chaos in insect population dynamics, Nature, 353, 255-258, 1991.

HETHCOTE, H. W. The mathematics of infectious diseases. SIAM review, 42, 4, 599-653, 2000.

IBGE(a)- Instituto Brasileiro de Geografia e Estatística. Dados no formado shapefile com informações geográficas do Rio Grande do Sul para o ano de 2019. Disponível em: <https://www.ibge.gov.br/geociencias/organizacao-do-territorio/estrutura-territorial/15774-malhas.html?=&t=downloads>. Acesso em: 16 de junho de 2021.

IBGE(b)- Instituto Brasileiro de Geografia e Estatística. Sidra - Banco de Tabelas Estatísticas - Dados Sistema de Recuperação Automática. Disponível em: <https://sidra.ibge.gov.br/home/pimpfbr/brasil>. Acesso em: 16 de junho de 2021.

MARQUES, J. C.; De CEZARO, A.; LAZO, M.; On a emerging plateau in a multi-population SIR model, preprint, 2021 (e referências)

SES-RS – Secretaria da Saúde do Estado Rio Grande do Sul. Painel Coronavírus. Disponível em: <https://ti.saude.rs.gov.br/covid19>. Acesso em: 17 de junho de 2021.

Published

12-11-2021

How to Cite

DE CEZARO, A.; SALES, D. A. de; ESPINOZA, J. M. de A.; MARQUES, J. C.; LAZO, M. J.; BRITO, P. V. de A.; ALVES, D. C. L. Georeferenced data from the COVID-19 pandemic for the state of Rio Grande do Sul: Reported positive cases and simulated forecasts . Latin American Data in Science, [S. l.], v. 1, n. 2, p. 49–62, 2021. DOI: 10.53805/lads.v1i2.23. Disponível em: https://ojs.datainscience.com.br/index.php/lads/article/view/23. Acesso em: 1 mar. 2024.