Surveillance of the first cases of COVID-19 in Sergipe using a prospective spatiotemporal analysis: the spatial dispersion and its public health implications
Rev. Soc. Bras. Med. Trop
;
53: e20200287, 2020. tab, graf
Article
Dans Anglais
| 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.
Texte intégral:
Disponible
Indice:
LILAS (Amériques)
Sujet Principal:
Pneumopathie virale
/
Infections à coronavirus
/
Pandémies
/
Betacoronavirus
Type d'étude:
Étude observationnelle
/
Facteurs de risque
/
Étude de dépistage
Limites du sujet:
Adulte
/
Femelle
/
Humains
/
Mâle
Pays comme sujet:
Amérique du Sud
/
Brésil
langue:
Anglais
Texte intégral:
Rev. Soc. Bras. Med. Trop
Année:
2020
Type:
Article
Institution/Pays d'affiliation:
Instituto Federal de Sergipe/BR
/
Secretaria Estadual de Saúde de Sergipe/BR
/
Universidade Federal de Sergipe/BR
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