Lockdown as an Intervention Measure to Mitigate the Spread of COVID-19: a modeling study

Abstract INTRODUCTION: This work aims to develop a biomathematical transmission model of COVID-19, in the State of Sergipe, Brazil, to estimate the distribution of cases over time and project the impact on the spread of the epidemic outbreak due to interventions and control measures over the local p...

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Published in:Revista da Sociedade Brasileira de Medicina Tropical
Main Authors: Aédson Nascimento Góis, Estevão Esmi Laureano, David da Silva Santos, Daniel Eduardo Sánchez, Luiz Fernando Souza, Rita de Cássia Almeida Vieira, Jussiely Cunha Oliveira, Eduesley Santana-Santos
Format: Article in Journal/Newspaper
Language:English
Published: Sociedade Brasileira de Medicina Tropical (SBMT) 2020
Subjects:
Online Access:https://doi.org/10.1590/0037-8682-0417-2020
https://doaj.org/article/66eee30074bb4a0e9e08a8b49c319c02
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spelling ftdoajarticles:oai:doaj.org/article:66eee30074bb4a0e9e08a8b49c319c02 2023-05-15T15:10:37+02:00 Lockdown as an Intervention Measure to Mitigate the Spread of COVID-19: a modeling study Aédson Nascimento Góis Estevão Esmi Laureano David da Silva Santos Daniel Eduardo Sánchez Luiz Fernando Souza Rita de Cássia Almeida Vieira Jussiely Cunha Oliveira Eduesley Santana-Santos 2020-10-01T00:00:00Z https://doi.org/10.1590/0037-8682-0417-2020 https://doaj.org/article/66eee30074bb4a0e9e08a8b49c319c02 EN eng Sociedade Brasileira de Medicina Tropical (SBMT) http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0037-86822020000100368&tlng=en https://doaj.org/toc/1678-9849 1678-9849 doi:10.1590/0037-8682-0417-2020 https://doaj.org/article/66eee30074bb4a0e9e08a8b49c319c02 Revista da Sociedade Brasileira de Medicina Tropical, Vol 53 (2020) COVID-19 Coronavirus infection Social isolation Epidemiology Arctic medicine. Tropical medicine RC955-962 article 2020 ftdoajarticles https://doi.org/10.1590/0037-8682-0417-2020 2022-12-31T02:52:37Z Abstract INTRODUCTION: This work aims to develop a biomathematical transmission model of COVID-19, in the State of Sergipe, Brazil, to estimate the distribution of cases over time and project the impact on the spread of the epidemic outbreak due to interventions and control measures over the local population. METHODS: This is an epidemiological mathematical modeling study conducted to analyze the dynamics of the accumulated cases of COVID-19, which used a logistic growth model that adds a term of withdrawal of individuals as a control measure. Three possible COVID-19 propagation scenarios were simulated based on three different rates of withdrawal of individuals. They were adjusted with real data of the infected and measures of control over the population. RESULTS: The lockdown would be the best scenario, with a lower incidence of infected people, when compared to the other measures. The number of infected people would grow slowly over the months, and the number of symptomatic individuals in this scenario would be 40,265 cases. We noticed that the State of Sergipe is still in the initial stage of the disease in the scenarios. It was possible to observe that the peak of cases and the equilibrium, in the current situation of social isolation, will occur when reaching the new support capacity, at the end of August in approximately 1,171,353 infected individuals. CONCLUSIONS: We established that lockdown is the intervention with the highest ability to mitigate the spread of the virus among the population. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Revista da Sociedade Brasileira de Medicina Tropical 53
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic COVID-19
Coronavirus infection
Social isolation
Epidemiology
Arctic medicine. Tropical medicine
RC955-962
spellingShingle COVID-19
Coronavirus infection
Social isolation
Epidemiology
Arctic medicine. Tropical medicine
RC955-962
Aédson Nascimento Góis
Estevão Esmi Laureano
David da Silva Santos
Daniel Eduardo Sánchez
Luiz Fernando Souza
Rita de Cássia Almeida Vieira
Jussiely Cunha Oliveira
Eduesley Santana-Santos
Lockdown as an Intervention Measure to Mitigate the Spread of COVID-19: a modeling study
topic_facet COVID-19
Coronavirus infection
Social isolation
Epidemiology
Arctic medicine. Tropical medicine
RC955-962
description Abstract INTRODUCTION: This work aims to develop a biomathematical transmission model of COVID-19, in the State of Sergipe, Brazil, to estimate the distribution of cases over time and project the impact on the spread of the epidemic outbreak due to interventions and control measures over the local population. METHODS: This is an epidemiological mathematical modeling study conducted to analyze the dynamics of the accumulated cases of COVID-19, which used a logistic growth model that adds a term of withdrawal of individuals as a control measure. Three possible COVID-19 propagation scenarios were simulated based on three different rates of withdrawal of individuals. They were adjusted with real data of the infected and measures of control over the population. RESULTS: The lockdown would be the best scenario, with a lower incidence of infected people, when compared to the other measures. The number of infected people would grow slowly over the months, and the number of symptomatic individuals in this scenario would be 40,265 cases. We noticed that the State of Sergipe is still in the initial stage of the disease in the scenarios. It was possible to observe that the peak of cases and the equilibrium, in the current situation of social isolation, will occur when reaching the new support capacity, at the end of August in approximately 1,171,353 infected individuals. CONCLUSIONS: We established that lockdown is the intervention with the highest ability to mitigate the spread of the virus among the population.
format Article in Journal/Newspaper
author Aédson Nascimento Góis
Estevão Esmi Laureano
David da Silva Santos
Daniel Eduardo Sánchez
Luiz Fernando Souza
Rita de Cássia Almeida Vieira
Jussiely Cunha Oliveira
Eduesley Santana-Santos
author_facet Aédson Nascimento Góis
Estevão Esmi Laureano
David da Silva Santos
Daniel Eduardo Sánchez
Luiz Fernando Souza
Rita de Cássia Almeida Vieira
Jussiely Cunha Oliveira
Eduesley Santana-Santos
author_sort Aédson Nascimento Góis
title Lockdown as an Intervention Measure to Mitigate the Spread of COVID-19: a modeling study
title_short Lockdown as an Intervention Measure to Mitigate the Spread of COVID-19: a modeling study
title_full Lockdown as an Intervention Measure to Mitigate the Spread of COVID-19: a modeling study
title_fullStr Lockdown as an Intervention Measure to Mitigate the Spread of COVID-19: a modeling study
title_full_unstemmed Lockdown as an Intervention Measure to Mitigate the Spread of COVID-19: a modeling study
title_sort lockdown as an intervention measure to mitigate the spread of covid-19: a modeling study
publisher Sociedade Brasileira de Medicina Tropical (SBMT)
publishDate 2020
url https://doi.org/10.1590/0037-8682-0417-2020
https://doaj.org/article/66eee30074bb4a0e9e08a8b49c319c02
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_source Revista da Sociedade Brasileira de Medicina Tropical, Vol 53 (2020)
op_relation http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0037-86822020000100368&tlng=en
https://doaj.org/toc/1678-9849
1678-9849
doi:10.1590/0037-8682-0417-2020
https://doaj.org/article/66eee30074bb4a0e9e08a8b49c319c02
op_doi https://doi.org/10.1590/0037-8682-0417-2020
container_title Revista da Sociedade Brasileira de Medicina Tropical
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