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Surveillance of the first cases of COVID-19 in Sergipe using a prospective spatiotemporal analysis: the spatial dispersion and its public health implications
Preprint
in English
| SciELO Preprints
| ID: pps-609
Responsible library:
BR1.1
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.
Full text:
Available
Collection:
Preprints
Health context:
Sustainable Health Agenda for the Americas
Health problem:
Goal 6: Information systems for health
Database:
SciELO Preprints
Type of study:
Risk factors
/
Screening study
Language:
English
Year:
2020
Document type:
Preprint
