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DOI of the published article https://doi.org/10.1590/0037-8682-0287-2020
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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

##article.authors##

  • Lucas Almeida Andrade Universidade Federal de Sergipe, Programa de Pós-Graduação em Enfermagem, Aracaju, SE, Brasil https://orcid.org/0000-0002-5694-2094
  • Dharliton Soares Gomes Universidade Federal de Sergipe, Programa de Pós-Graduação em Biologia Parasitária, Aracaju, SE, Brasil https://orcid.org/0000-0003-4181-2091
  • Marco Aurélio de Oliveira Góes Universidade Federal de Sergipe, Departamento de Medicina, Aracaju, SE, Brasil; Secretaria Estadual de Saúde de Sergipe, Diretoria de Vigilância em Saúde, Aracaju, SE, Brasil https://orcid.org/0000-0003-0953-9320
  • Mércia Simone Feitosa de Souza Secretaria Estadual de Saúde de Sergipe, Diretoria de Vigilância em Saúde, Aracaju, SE, Brasil
  • Daniela Cabral Pizzi Teixeira Secretaria Estadual de Saúde de Sergipe, Diretoria de Vigilância em Saúde, Aracaju, SE, Brasil
  • Caíque Jordan Nunes Ribeiro Instituto Federal de Sergipe, São Cristóvão, SE, Brasil https://orcid.org/0000-0001-9767-3938
  • José Antônio Barreto Alves Universidade Federal de Sergipe, Programa de Pós-Graduação em Enfermagem, Aracaju, SE, Brasil https://orcid.org/0000-0002-8647-8050
  • Karina Conceição Gomes Machado de Araújo Universidade Federal de Sergipe, Programa de Pós-Graduação em Ciências da Saúde, Aracaju, SE, Brasil https://orcid.org/0000-0003-4433-5227
  • Allan Dantas dos Santos Universidade Federal de Sergipe, Programa de Pós-Graduação em Enfermagem, Aracaju, SE, Brasil https://orcid.org/0000-0002-6529-1887

DOI:

https://doi.org/10.1590/0037-8682-0287-2020

Keywords:

COVID-19, Spatial analysis, Space-time clusters, Pandemic, Disease surveillance

Abstract

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.

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Posted

05/27/2020

How to Cite

Andrade, L. A., Gomes, D. S., Góes, M. A. de O., Souza, M. S. F. de, Teixeira, D. C. P., Ribeiro, C. J. N., Alves, J. A. B., Araújo, K. C. G. M. de, & Santos, A. D. dos. (2020). Surveillance of the first cases of COVID-19 in Sergipe using a prospective spatiotemporal analysis: the spatial dispersion and its public health implications. In SciELO Preprints. https://doi.org/10.1590/0037-8682-0287-2020

Section

Health Sciences

Copyright (c) 2020 Lucas Almeida Andrade, Dharliton Soares Gomes, Marco Aurélio de Oliveira Góes, Mércia Simone Feitosa de Souza, Daniela Cabral Pizzi Teixeira, Caíque Jordan Nunes Ribeiro, José Antônio Barreto Alves, Karina Conceição Gomes Machado de Araújo, Allan Dantas dos Santos

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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