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
in En
| SES-SP, ColecionaSUS, LILACS
| ID: biblio-1136808
Responsible library:
BR1.1
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.Key words
Full text:
1
Index:
LILACS
Main subject:
Pneumonia, Viral
/
Coronavirus Infections
/
Pandemics
/
Betacoronavirus
Type of study:
Observational_studies
/
Risk_factors_studies
/
Screening_studies
Limits:
Adult
/
Female
/
Humans
/
Male
Country/Region as subject:
America do sul
/
Brasil
Language:
En
Journal:
Rev. Soc. Bras. Med. Trop
Year:
2020
Type:
Article