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Surveillance of the first cases of COVID-19 in Sergipe using a prospective spatiotemporal analysis: the spatial dispersion and its public health implications
INTRODUCTION: Coronavirus disease 2019 (COVID-19) has become a global public health emergency with lethality ranging from 1% to 5%. This study aimed to identify active high-risk transmission clusters of COVID-19 in Sergipe. METHODS: We performed a prospective space-time analysis using confirmed case...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Sociedade Brasileira de Medicina Tropical - SBMT
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7269533/ https://www.ncbi.nlm.nih.gov/pubmed/32491098 http://dx.doi.org/10.1590/0037-8682-0287-2020 |
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author | Andrade, Lucas Almeida Gomes, Dharliton Soares Góes, Marco Aurélio de Oliveira de Souza, Mércia Simone Feitosa Teixeira, Daniela Cabral Pizzi Ribeiro, Caíque Jordan Nunes Alves, José Antônio Barreto de Araújo, Karina Conceição Gomes Machado dos Santos, Allan Dantas |
author_facet | Andrade, Lucas Almeida Gomes, Dharliton Soares Góes, Marco Aurélio de Oliveira de Souza, Mércia Simone Feitosa Teixeira, Daniela Cabral Pizzi Ribeiro, Caíque Jordan Nunes Alves, José Antônio Barreto de Araújo, Karina Conceição Gomes Machado dos Santos, Allan Dantas |
author_sort | Andrade, Lucas Almeida |
collection | PubMed |
description | INTRODUCTION: Coronavirus disease 2019 (COVID-19) has become a global public health emergency with lethality ranging from 1% to 5%. This study aimed to identify active high-risk transmission clusters of COVID-19 in Sergipe. METHODS: We performed a prospective space-time analysis using confirmed cases of COVID-19 during the first 7 weeks of the outbreak in Sergipe. RESULTS: The prospective space-time statistic detected "active" and emerging spatio-temporal clusters comprising six municipalities in the south-central region of the state. CONCLUSIONS: The Geographic Information System (GIS) associated with spatio-temporal scan statistics can provide timely support for surveillance and assist in decision-making. |
format | Online Article Text |
id | pubmed-7269533 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Sociedade Brasileira de Medicina Tropical - SBMT |
record_format | MEDLINE/PubMed |
spelling | pubmed-72695332020-06-05 Surveillance of the first cases of COVID-19 in Sergipe using a prospective spatiotemporal analysis: the spatial dispersion and its public health implications Andrade, Lucas Almeida Gomes, Dharliton Soares Góes, Marco Aurélio de Oliveira de Souza, Mércia Simone Feitosa Teixeira, Daniela Cabral Pizzi Ribeiro, Caíque Jordan Nunes Alves, José Antônio Barreto de Araújo, Karina Conceição Gomes Machado dos Santos, Allan Dantas Rev Soc Bras Med Trop Short Communication INTRODUCTION: Coronavirus disease 2019 (COVID-19) has become a global public health emergency with lethality ranging from 1% to 5%. This study aimed to identify active high-risk transmission clusters of COVID-19 in Sergipe. METHODS: We performed a prospective space-time analysis using confirmed cases of COVID-19 during the first 7 weeks of the outbreak in Sergipe. RESULTS: The prospective space-time statistic detected "active" and emerging spatio-temporal clusters comprising six municipalities in the south-central region of the state. CONCLUSIONS: The Geographic Information System (GIS) associated with spatio-temporal scan statistics can provide timely support for surveillance and assist in decision-making. Sociedade Brasileira de Medicina Tropical - SBMT 2020-06-01 /pmc/articles/PMC7269533/ /pubmed/32491098 http://dx.doi.org/10.1590/0037-8682-0287-2020 Text en https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License |
spellingShingle | Short Communication Andrade, Lucas Almeida Gomes, Dharliton Soares Góes, Marco Aurélio de Oliveira de Souza, Mércia Simone Feitosa Teixeira, Daniela Cabral Pizzi Ribeiro, Caíque Jordan Nunes Alves, José Antônio Barreto de Araújo, Karina Conceição Gomes Machado dos Santos, Allan Dantas Surveillance of the first cases of COVID-19 in Sergipe using a prospective spatiotemporal analysis: the spatial dispersion and its public health implications |
title | Surveillance of the first cases of COVID-19 in Sergipe using a prospective spatiotemporal analysis: the spatial dispersion and its public health implications |
title_full | Surveillance of the first cases of COVID-19 in Sergipe using a prospective spatiotemporal analysis: the spatial dispersion and its public health implications |
title_fullStr | Surveillance of the first cases of COVID-19 in Sergipe using a prospective spatiotemporal analysis: the spatial dispersion and its public health implications |
title_full_unstemmed | Surveillance of the first cases of COVID-19 in Sergipe using a prospective spatiotemporal analysis: the spatial dispersion and its public health implications |
title_short | Surveillance of the first cases of COVID-19 in Sergipe using a prospective spatiotemporal analysis: the spatial dispersion and its public health implications |
title_sort | surveillance of the first cases of covid-19 in sergipe using a prospective spatiotemporal analysis: the spatial dispersion and its public health implications |
topic | Short Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7269533/ https://www.ncbi.nlm.nih.gov/pubmed/32491098 http://dx.doi.org/10.1590/0037-8682-0287-2020 |
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