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Short Communication • Rev. Soc. Bras. Med. Trop. 53 • 2020 • https://doi.org/10.1590/0037-8682-0287-2020   copy

Surveillance of the first cases of COVID-19 in Sergipe using a prospective spatiotemporal analysis: the spatial dispersion and its public health implications

Authorship SCIMAGO INSTITUTIONS RANKINGS

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.

Keywords:
COVID-19; Spatial analysis; Space-time clusters; Pandemic; Disease surveillance

Sociedade Brasileira de Medicina Tropical - SBMT Caixa Postal 118, 38001-970 Uberaba MG Brazil, Tel.: +55 34 3318-5255 / +55 34 3318-5636/ +55 34 3318-5287, http://rsbmt.org.br/ - Uberaba - MG - Brazil
E-mail: rsbmt@uftm.edu.br
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