Epidemiological model for the construction of scenarios of the dissemination of COVID-19 in Codó-MA

Bibliographic Details
Main Author: Lisboa dos Santos, Antonia
Publication Date: 2023
Other Authors: da Silva Rodrigues , Leonardo Rogerio
Format: Article
Language: eng
por
Source: Revista de Epidemiologia e Controle de Infecção
DOI: 10.17058/reci.v13i1.17853
Download full: https://online.unisc.br/seer/index.php/epidemiologia/article/view/17853
Summary: Background and objectives: due to the increase in the number of cases of the new coronavirus in the city of Codó-MA, there was a need to carry out a study on the spread of COVID-19 in the municipality in order to have a better knowledge and understanding of the problem. A study was carried out on the spread of COVID-19 in the city of Codó-MA, comparing the quantitative data on the number of cases in 2020 and 2021 between May and July and using the epidemiological model Susceptible-Infectious-Isolated-Recovered (SIQR). Methods: we collected daily data from the epidemiological bulletins made available by the Municipal Health Department of Codó (SEMUS-Codó), we chose the SIQR compartmental model to carry out the simulations, we assumed hypotheses and estimated the parameters in order to design the scenarios. We simulated scenarios such as social distancing of healthy individuals and social isolation of infected individuals. Results: in early 2020, cases increased more frequently than in early 2021, and approximately 20% of those infected were in social isolation. According to projections, more than 80% of cases of COVID-19 were not accounted for in Codó. In 2021, there was greater underreporting than in 2020, approximately 82% and 85%, respectively. Conclusion: from the results, the authors conclude that the social isolation of those infected is a more efficient method to contain an epidemic than the total blockade of the population and that the high number of underreported cases is because most of these cases are asymptomatic.
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spelling Epidemiological model for the construction of scenarios of the dissemination of COVID-19 in Codó-MAModelo epidemiológico para la construcción de escenarios de la diseminación del COVID-19 en Codó-MAModelo epidemiológico para construção de cenários da disseminação da COVID-19 em Codó-MACOVID-19. Simulations. Sub-Registration. Social isolation. Morbidity.COVID -19. Simulaciones. Sub-Registro. Aislamiento social. Morbosidad.COVID – 19. Simulações. Sub-Registro. Isolamento social. Morbidade.Background and objectives: due to the increase in the number of cases of the new coronavirus in the city of Codó-MA, there was a need to carry out a study on the spread of COVID-19 in the municipality in order to have a better knowledge and understanding of the problem. A study was carried out on the spread of COVID-19 in the city of Codó-MA, comparing the quantitative data on the number of cases in 2020 and 2021 between May and July and using the epidemiological model Susceptible-Infectious-Isolated-Recovered (SIQR). Methods: we collected daily data from the epidemiological bulletins made available by the Municipal Health Department of Codó (SEMUS-Codó), we chose the SIQR compartmental model to carry out the simulations, we assumed hypotheses and estimated the parameters in order to design the scenarios. We simulated scenarios such as social distancing of healthy individuals and social isolation of infected individuals. Results: in early 2020, cases increased more frequently than in early 2021, and approximately 20% of those infected were in social isolation. According to projections, more than 80% of cases of COVID-19 were not accounted for in Codó. In 2021, there was greater underreporting than in 2020, approximately 82% and 85%, respectively. Conclusion: from the results, the authors conclude that the social isolation of those infected is a more efficient method to contain an epidemic than the total blockade of the population and that the high number of underreported cases is because most of these cases are asymptomatic.Antecedentes y objetivos debido al incremento en el número de casos del nuevo coronavirus en la ciudad de Codó-MA, surgió la necesidad de realizar un estudio sobre la propagación del COVID-19 en el municipio con el fin de tener un mejor conocimiento y comprensión de el problema. Se realizó un estudio sobre la propagación del COVID-19 en la ciudad de Codó-MA, comparando datos cuantitativos del número de casos en 2020 y 2021 entre mayo y julio y utilizando el modelo epidemiológico Susceptible-Infeccioso-Aislado-Recuperado (SIQR). Métodos: recolectamos datos diarios de los boletines epidemiológicos que pone a disposición la Secretaría Municipal de Salud de Codó (SEMUS-Codó), elegimos el modelo compartimental SIQR para realizar las simulaciones, asumimos hipótesis y estimamos los parámetros para poder diseñar los escenarios. Simulamos escenarios como el distanciamiento social de personas sanas y el aislamiento social de personas infectadas. Resultados: a principios de 2020, los casos aumentaron con más frecuencia que a principios de 2021, y aproximadamente el 20% de los infectados se encontraban en aislamiento social. Según proyecciones, en Codó no se contabilizaron más del 80% de los casos de COVID-19. En 2021 hubo mayor subregistro que en 2020, aproximadamente 82% y 85%, respectivamente. Conclusión: de los resultados, los autores concluyen que el aislamiento social de los contagiados es un método más eficiente para contener una epidemia que el bloqueo total de la población y que el alto número de casos subregistrados se debe a que la mayoría de estos casos son asintomáticos.Justificativa e objetivos: devido ao aumento do número de casos do novo coronavírus na cidade de Codó-MA, viu-se a necessidade para fazer um estudo sobre a propagação da COVID-19 no município para a ter melhor conhecimento e entendimento do problema. Foi realizado um estudo sobre a disseminação da COVID-19 na cidade de Codó-MA, sendo comparados os dados quantitativos dos números de casos nos anos de 2020 e 2021 entre os meses de maio e julho e utilizando o modelo epidemiológico Suscetíveis-Infecciosos-Isolados-Recuperados (SIQR). Métodos: coletamos os dados diários dos boletins epidemiológicos disponibilizados pela Secretaria Municipal de Saúde de Codó (SEMUS-Codó), escolhemos o modelo compartimental SIQR para a realização das simulações, supomos hipóteses e estimamos os parâmetros para podermos projetar os cenários. Simulamos cenários, tais como distanciamento social dos indivíduos sadios e isolamento social dos indivíduos infectados. Resultados: no início de 2020, os casos aumentaram com mais frequência do que no início de 2021, e aproximadamente 20% dos infectados estavam em isolamento social. De acordo com as projeções, mais de 80% dos casos de COVID-19 não foram contabilizados em Codó. Em 2021, houve maior subnotificação do que em 2020, aproximadamente 82% e 85%, respectivamente.  Conclusão: a partir dos resultados, os autores concluem que o isolamento social dos infectados é um método mais eficiente para conter uma epidemia do que o bloqueio total da população e que o alto número de casos subnotificados são porque a maioria desses casos são assintomáticos.Unisc2023-05-26info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://online.unisc.br/seer/index.php/epidemiologia/article/view/1785310.17058/reci.v13i1.17853Revista de Epidemiologia e Controle de Infecção; Vol. 13 No. 1 (2023)Revista de Epidemiologia e Controle de Infecção; v. 13 n. 1 (2023)2238-3360reponame:Revista de Epidemiologia e Controle de Infecçãoinstname:Universidade de Santa Cruz do Sul (UNISC)instacron:UNISCengporhttps://online.unisc.br/seer/index.php/epidemiologia/article/view/17853/11012https://online.unisc.br/seer/index.php/epidemiologia/article/view/17853/11011Copyright (c) 2023 Antonia Lisboa dos Santos, Leonardo Rogerio da Silva Rodrigues https://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessLisboa dos Santos, Antoniada Silva Rodrigues , Leonardo Rogerio 2024-10-22T11:00:28Zoai:ojs.online.unisc.br:article/17853Revistahttps://online.unisc.br/seer/index.php/epidemiologia/indexONGhttp://online.unisc.br/seer/index.php/epidemiologia/oai||liapossuelo@unisc.br|| julia.kern@hotmail.com||reci.unisc@gmail.com2238-33602238-3360opendoar:2024-10-22T11:00:28Revista de Epidemiologia e Controle de Infecção - Universidade de Santa Cruz do Sul (UNISC)false
dc.title.none.fl_str_mv Epidemiological model for the construction of scenarios of the dissemination of COVID-19 in Codó-MA
Modelo epidemiológico para la construcción de escenarios de la diseminación del COVID-19 en Codó-MA
Modelo epidemiológico para construção de cenários da disseminação da COVID-19 em Codó-MA
title Epidemiological model for the construction of scenarios of the dissemination of COVID-19 in Codó-MA
spellingShingle Epidemiological model for the construction of scenarios of the dissemination of COVID-19 in Codó-MA
Epidemiological model for the construction of scenarios of the dissemination of COVID-19 in Codó-MA
Lisboa dos Santos, Antonia
COVID-19. Simulations. Sub-Registration. Social isolation. Morbidity.
COVID -19. Simulaciones. Sub-Registro. Aislamiento social. Morbosidad.
COVID – 19. Simulações. Sub-Registro. Isolamento social. Morbidade.
Lisboa dos Santos, Antonia
COVID-19. Simulations. Sub-Registration. Social isolation. Morbidity.
COVID -19. Simulaciones. Sub-Registro. Aislamiento social. Morbosidad.
COVID – 19. Simulações. Sub-Registro. Isolamento social. Morbidade.
title_short Epidemiological model for the construction of scenarios of the dissemination of COVID-19 in Codó-MA
title_full Epidemiological model for the construction of scenarios of the dissemination of COVID-19 in Codó-MA
title_fullStr Epidemiological model for the construction of scenarios of the dissemination of COVID-19 in Codó-MA
Epidemiological model for the construction of scenarios of the dissemination of COVID-19 in Codó-MA
title_full_unstemmed Epidemiological model for the construction of scenarios of the dissemination of COVID-19 in Codó-MA
Epidemiological model for the construction of scenarios of the dissemination of COVID-19 in Codó-MA
title_sort Epidemiological model for the construction of scenarios of the dissemination of COVID-19 in Codó-MA
author Lisboa dos Santos, Antonia
author_facet Lisboa dos Santos, Antonia
Lisboa dos Santos, Antonia
da Silva Rodrigues , Leonardo Rogerio
da Silva Rodrigues , Leonardo Rogerio
author_role author
author2 da Silva Rodrigues , Leonardo Rogerio
author2_role author
dc.contributor.author.fl_str_mv Lisboa dos Santos, Antonia
da Silva Rodrigues , Leonardo Rogerio
dc.subject.por.fl_str_mv COVID-19. Simulations. Sub-Registration. Social isolation. Morbidity.
COVID -19. Simulaciones. Sub-Registro. Aislamiento social. Morbosidad.
COVID – 19. Simulações. Sub-Registro. Isolamento social. Morbidade.
topic COVID-19. Simulations. Sub-Registration. Social isolation. Morbidity.
COVID -19. Simulaciones. Sub-Registro. Aislamiento social. Morbosidad.
COVID – 19. Simulações. Sub-Registro. Isolamento social. Morbidade.
description Background and objectives: due to the increase in the number of cases of the new coronavirus in the city of Codó-MA, there was a need to carry out a study on the spread of COVID-19 in the municipality in order to have a better knowledge and understanding of the problem. A study was carried out on the spread of COVID-19 in the city of Codó-MA, comparing the quantitative data on the number of cases in 2020 and 2021 between May and July and using the epidemiological model Susceptible-Infectious-Isolated-Recovered (SIQR). Methods: we collected daily data from the epidemiological bulletins made available by the Municipal Health Department of Codó (SEMUS-Codó), we chose the SIQR compartmental model to carry out the simulations, we assumed hypotheses and estimated the parameters in order to design the scenarios. We simulated scenarios such as social distancing of healthy individuals and social isolation of infected individuals. Results: in early 2020, cases increased more frequently than in early 2021, and approximately 20% of those infected were in social isolation. According to projections, more than 80% of cases of COVID-19 were not accounted for in Codó. In 2021, there was greater underreporting than in 2020, approximately 82% and 85%, respectively. Conclusion: from the results, the authors conclude that the social isolation of those infected is a more efficient method to contain an epidemic than the total blockade of the population and that the high number of underreported cases is because most of these cases are asymptomatic.
publishDate 2023
dc.date.none.fl_str_mv 2023-05-26
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://online.unisc.br/seer/index.php/epidemiologia/article/view/17853
10.17058/reci.v13i1.17853
url https://online.unisc.br/seer/index.php/epidemiologia/article/view/17853
identifier_str_mv 10.17058/reci.v13i1.17853
dc.language.iso.fl_str_mv eng
por
language eng
por
dc.relation.none.fl_str_mv https://online.unisc.br/seer/index.php/epidemiologia/article/view/17853/11012
https://online.unisc.br/seer/index.php/epidemiologia/article/view/17853/11011
dc.rights.driver.fl_str_mv Copyright (c) 2023 Antonia Lisboa dos Santos, Leonardo Rogerio da Silva Rodrigues
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2023 Antonia Lisboa dos Santos, Leonardo Rogerio da Silva Rodrigues
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Unisc
publisher.none.fl_str_mv Unisc
dc.source.none.fl_str_mv Revista de Epidemiologia e Controle de Infecção; Vol. 13 No. 1 (2023)
Revista de Epidemiologia e Controle de Infecção; v. 13 n. 1 (2023)
2238-3360
reponame:Revista de Epidemiologia e Controle de Infecção
instname:Universidade de Santa Cruz do Sul (UNISC)
instacron:UNISC
instname_str Universidade de Santa Cruz do Sul (UNISC)
instacron_str UNISC
institution UNISC
reponame_str Revista de Epidemiologia e Controle de Infecção
collection Revista de Epidemiologia e Controle de Infecção
repository.name.fl_str_mv Revista de Epidemiologia e Controle de Infecção - Universidade de Santa Cruz do Sul (UNISC)
repository.mail.fl_str_mv ||liapossuelo@unisc.br|| julia.kern@hotmail.com||reci.unisc@gmail.com
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dc.identifier.doi.none.fl_str_mv 10.17058/reci.v13i1.17853