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
Artículo
en Inglés
| 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.
Texto completo:
Disponible
Índice:
LILACS (Américas)
Asunto principal:
Neumonía Viral
/
Infecciones por Coronavirus
/
Pandemias
/
Betacoronavirus
Tipo de estudio:
Estudio observacional
/
Factores de riesgo
/
Estudio de tamizaje
Límite:
Adulto
/
Femenino
/
Humanos
/
Masculino
País/Región como asunto:
America del Sur
/
Brasil
Idioma:
Inglés
Revista:
Rev. Soc. Bras. Med. Trop
Año:
2020
Tipo del documento:
Artículo
Institución/País de afiliación:
Instituto Federal de Sergipe/BR
/
Secretaria Estadual de Saúde de Sergipe/BR
/
Universidade Federal de Sergipe/BR
Similares
MEDLINE
...
LILACS
LIS