Spatial distribution of the risk of dengue and the entomological indicators in Sumaré, state of São Paulo, Brazil.

Dengue fever is a major public health problem worldwide, caused by any of four virus (DENV-1, DENV-2, DENV-3 and DENV-4; Flaviviridae: Flavivirus), transmitted by Aedes aegypti mosquito. Reducing the levels of infestation by A. aegypti is one of the few current strategies to control dengue fever. En...

Full description

Bibliographic Details
Main Authors: Gerson Laurindo Barbosa, Maria Rita Donalísio, Celso Stephan, Roberto Wagner Lourenço, Valmir Roberto Andrade, Marylene de Brito Arduino, Virgilia Luna Castor de Lima
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-05-01
Series:PLoS Neglected Tropical Diseases
Online Access:http://europepmc.org/articles/PMC4022465?pdf=render
_version_ 1818955922094948352
author Gerson Laurindo Barbosa
Maria Rita Donalísio
Celso Stephan
Roberto Wagner Lourenço
Valmir Roberto Andrade
Marylene de Brito Arduino
Virgilia Luna Castor de Lima
author_facet Gerson Laurindo Barbosa
Maria Rita Donalísio
Celso Stephan
Roberto Wagner Lourenço
Valmir Roberto Andrade
Marylene de Brito Arduino
Virgilia Luna Castor de Lima
author_sort Gerson Laurindo Barbosa
collection DOAJ
description Dengue fever is a major public health problem worldwide, caused by any of four virus (DENV-1, DENV-2, DENV-3 and DENV-4; Flaviviridae: Flavivirus), transmitted by Aedes aegypti mosquito. Reducing the levels of infestation by A. aegypti is one of the few current strategies to control dengue fever. Entomological indicators are used by dengue national control program to measure the infestation of A. aegypti, but little is known about predictive power of these indicators to measure dengue risk. In this spatial case-control study, we analyzed the spatial distribution of the risk of dengue and the influence of entomological indicators of A. aegypti in its egg, larva-pupa and adult stages occurring in a mid-size city in the state of São Paulo. The dengue cases were those confirmed by the city's epidemiological surveillance system and the controls were obtained through random selection of points within the perimeter of the inhabited area. The values of the entomological indicators were extrapolated for the entire study area through the geostatistical ordinary kriging technique. For each case and control, the respective indicator values were obtained, according with its geographical coordinates and analyzed by using a generalized additive model. Dengue incidence demonstrated a seasonal behavior, as well as the entomological indicators of all mosquito's evolutionary stages. The infestation did not present a significant variation in intensity and was not a limiting or determining factor of the occurrence of cases in the municipality. The risk maps of the disease from crude and adjusted generalized additive models did not present differences, suggesting that areas with the highest values of entomological indicators were not associated with the incidence of dengue. The inclusion of other variables in the generalized additive models may reveal the modulatory effect for the risk of the disease, which is not found in this study.
first_indexed 2024-12-20T10:45:45Z
format Article
id doaj.art-5b840153a817412f80290ef265e25695
institution Directory Open Access Journal
issn 1935-2727
1935-2735
language English
last_indexed 2024-12-20T10:45:45Z
publishDate 2014-05-01
publisher Public Library of Science (PLoS)
record_format Article
series PLoS Neglected Tropical Diseases
spelling doaj.art-5b840153a817412f80290ef265e256952022-12-21T19:43:25ZengPublic Library of Science (PLoS)PLoS Neglected Tropical Diseases1935-27271935-27352014-05-0185e287310.1371/journal.pntd.0002873Spatial distribution of the risk of dengue and the entomological indicators in Sumaré, state of São Paulo, Brazil.Gerson Laurindo BarbosaMaria Rita DonalísioCelso StephanRoberto Wagner LourençoValmir Roberto AndradeMarylene de Brito ArduinoVirgilia Luna Castor de LimaDengue fever is a major public health problem worldwide, caused by any of four virus (DENV-1, DENV-2, DENV-3 and DENV-4; Flaviviridae: Flavivirus), transmitted by Aedes aegypti mosquito. Reducing the levels of infestation by A. aegypti is one of the few current strategies to control dengue fever. Entomological indicators are used by dengue national control program to measure the infestation of A. aegypti, but little is known about predictive power of these indicators to measure dengue risk. In this spatial case-control study, we analyzed the spatial distribution of the risk of dengue and the influence of entomological indicators of A. aegypti in its egg, larva-pupa and adult stages occurring in a mid-size city in the state of São Paulo. The dengue cases were those confirmed by the city's epidemiological surveillance system and the controls were obtained through random selection of points within the perimeter of the inhabited area. The values of the entomological indicators were extrapolated for the entire study area through the geostatistical ordinary kriging technique. For each case and control, the respective indicator values were obtained, according with its geographical coordinates and analyzed by using a generalized additive model. Dengue incidence demonstrated a seasonal behavior, as well as the entomological indicators of all mosquito's evolutionary stages. The infestation did not present a significant variation in intensity and was not a limiting or determining factor of the occurrence of cases in the municipality. The risk maps of the disease from crude and adjusted generalized additive models did not present differences, suggesting that areas with the highest values of entomological indicators were not associated with the incidence of dengue. The inclusion of other variables in the generalized additive models may reveal the modulatory effect for the risk of the disease, which is not found in this study.http://europepmc.org/articles/PMC4022465?pdf=render
spellingShingle Gerson Laurindo Barbosa
Maria Rita Donalísio
Celso Stephan
Roberto Wagner Lourenço
Valmir Roberto Andrade
Marylene de Brito Arduino
Virgilia Luna Castor de Lima
Spatial distribution of the risk of dengue and the entomological indicators in Sumaré, state of São Paulo, Brazil.
PLoS Neglected Tropical Diseases
title Spatial distribution of the risk of dengue and the entomological indicators in Sumaré, state of São Paulo, Brazil.
title_full Spatial distribution of the risk of dengue and the entomological indicators in Sumaré, state of São Paulo, Brazil.
title_fullStr Spatial distribution of the risk of dengue and the entomological indicators in Sumaré, state of São Paulo, Brazil.
title_full_unstemmed Spatial distribution of the risk of dengue and the entomological indicators in Sumaré, state of São Paulo, Brazil.
title_short Spatial distribution of the risk of dengue and the entomological indicators in Sumaré, state of São Paulo, Brazil.
title_sort spatial distribution of the risk of dengue and the entomological indicators in sumare state of sao paulo brazil
url http://europepmc.org/articles/PMC4022465?pdf=render
work_keys_str_mv AT gersonlaurindobarbosa spatialdistributionoftheriskofdengueandtheentomologicalindicatorsinsumarestateofsaopaulobrazil
AT mariaritadonalisio spatialdistributionoftheriskofdengueandtheentomologicalindicatorsinsumarestateofsaopaulobrazil
AT celsostephan spatialdistributionoftheriskofdengueandtheentomologicalindicatorsinsumarestateofsaopaulobrazil
AT robertowagnerlourenco spatialdistributionoftheriskofdengueandtheentomologicalindicatorsinsumarestateofsaopaulobrazil
AT valmirrobertoandrade spatialdistributionoftheriskofdengueandtheentomologicalindicatorsinsumarestateofsaopaulobrazil
AT marylenedebritoarduino spatialdistributionoftheriskofdengueandtheentomologicalindicatorsinsumarestateofsaopaulobrazil
AT virgilialunacastordelima spatialdistributionoftheriskofdengueandtheentomologicalindicatorsinsumarestateofsaopaulobrazil