Monitoring the Paraguayan epidemiological dengue surveillance system (2009-2011) using Benford's law

Introduction: Dengue is the most widespread arbovirus worldwide. In Paraguay, it reappeared in 1988-1989, with one of the largest epidemic outbreaks occurring in 2011. Objective: To evaluate the performance of the dengue epidemiological surveillance system in Paraguay between 2009 and 2011. Material...

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Autores:
Tipo de recurso:
Fecha de publicación:
2016
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/23544
Acceso en línea:
https://doi.org/10.7705/biomedica.v36i4.2731
https://repository.urosario.edu.co/handle/10336/23544
Palabra clave:
Animal
Animal husbandry
Bovine
Dengue
Disease notification
Epidemic
Health survey
Human
Paraguay
Population density
Statistical distribution
Statistics and numerical data
Animal husbandry
Animals
Cattle
Dengue
Disease notification
Disease outbreaks
Humans
Paraguay
Population density
Population surveillance
Statistical distributions
Dengue
Disease notification
Epidemiological surveillance
Paraguay
Statistical distributions
Vector control
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Abierto (Texto Completo)
Description
Summary:Introduction: Dengue is the most widespread arbovirus worldwide. In Paraguay, it reappeared in 1988-1989, with one of the largest epidemic outbreaks occurring in 2011. Objective: To evaluate the performance of the dengue epidemiological surveillance system in Paraguay between 2009 and 2011. Materials and methods: We conducted an ecological study with secondary epidemiological surveillance data. We analyzed notified cases of the disease based on the distribution expected by Benford's law. To this end, we used the first and second digits from the global records stratified by region, season, population density, indicators of housing conditions and heads of cattle. Results: The epidemiological surveillance system performed better during non-epidemic periods and in the states with better housing conditions and fewer heads of cattle. Conclusion: Given that a difference in the performance existed, we recommended that the system remains operating at the same high alert level even during periods when fewer cases are expected. The technology used by the method proposed to monitor the notification of cases is easy to transfer to operational staff.