Georeferenced data from the COVID-19 pandemic for the state of Rio Grande do Sul
Reported positive cases and simulated forecasts
DOI:
https://doi.org/10.53805/lads.v1i2.23Keywords:
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”.
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Copyright (c) 2021 Latin American Data in Science
This work is licensed under a Creative Commons Attribution 4.0 International License.
