Preprint has been published in a journal as an article
DOI of the published article https://doi.org/10.1590/0037-8682-0287-2020
Preprint / Version 1

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.

Posted

2020-05-27

Section

Health Sciences