DOI of the published article https://doi.org/10.1590/0037-8682-0287-2020
Surveillance of the first cases of COVID-19 in Sergipe using a prospective spatiotemporal analysis: the spatial dispersion and its public health implications
Keywords:COVID-19, Spatial analysis, Space-time clusters, Pandemic, Disease surveillance
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.
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
This work is licensed under a Creative Commons Attribution 4.0 International License.