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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
Andrade, Lucas Almeida; Gomes, Dharliton Soares; Góes, Marco Aurélio de Oliveira; Souza, Mércia Simone Feitosa de; Teixeira, Daniela Cabral Pizzi; Ribeiro, Caíque Jordan Nunes; Alves, José Antônio Barreto; Araújo, Karina Conceição Gomes Machado de; Santos, Allan Dantas dos.
  • Andrade, Lucas Almeida; Universidade Federal de Sergipe. Programa de Pós-Graduação em Enfermagem. Aracaju. BR
  • Gomes, Dharliton Soares; Universidade Federal de Sergipe. Programa de Pós-Graduação em Biologia Parasitária. Aracaju. BR
  • Góes, Marco Aurélio de Oliveira; Universidade Federal de Sergipe. Departamento de Medicina. Aracaju. BR
  • Souza, Mércia Simone Feitosa de; Secretaria Estadual de Saúde de Sergipe. Diretoria de Vigilância em Saúde. Aracaju. BR
  • Teixeira, Daniela Cabral Pizzi; Secretaria Estadual de Saúde de Sergipe. Diretoria de Vigilância em Saúde. Aracaju. BR
  • Ribeiro, Caíque Jordan Nunes; Instituto Federal de Sergipe. São Cristóvão. BR
  • Alves, José Antônio Barreto; Universidade Federal de Sergipe. Programa de Pós-Graduação em Enfermagem. Aracaju. BR
  • Araújo, Karina Conceição Gomes Machado de; Universidade Federal de Sergipe. Programa de Pós-Graduação em Ciências da Saúde. Aracaju. BR
  • Santos, Allan Dantas dos; Universidade Federal de Sergipe. Programa de Pós-Graduação em Enfermagem. Aracaju. BR
Rev. Soc. Bras. Med. Trop ; 53: e20200287, 2020. tab, graf
Article in English | SES-SP, ColecionaSUS, LILACS | ID: biblio-1136808
ABSTRACT
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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Full text: Available Index: LILACS (Americas) Main subject: Pneumonia, Viral / Coronavirus Infections / Pandemics / Betacoronavirus Type of study: Observational study / Risk factors / Screening study Limits: Adult / Female / Humans / Male Country/Region as subject: South America / Brazil Language: English Journal: Rev. Soc. Bras. Med. Trop Year: 2020 Type: Article Institution/Affiliation country: Instituto Federal de Sergipe/BR / Secretaria Estadual de Saúde de Sergipe/BR / Universidade Federal de Sergipe/BR

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Full text: Available Index: LILACS (Americas) Main subject: Pneumonia, Viral / Coronavirus Infections / Pandemics / Betacoronavirus Type of study: Observational study / Risk factors / Screening study Limits: Adult / Female / Humans / Male Country/Region as subject: South America / Brazil Language: English Journal: Rev. Soc. Bras. Med. Trop Year: 2020 Type: Article Institution/Affiliation country: Instituto Federal de Sergipe/BR / Secretaria Estadual de Saúde de Sergipe/BR / Universidade Federal de Sergipe/BR