Spatial Distribution of the Risk of Dengue and the Entomological Indicators in Sumare, State of Sao Paulo, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1371/journal.pntd.0002873 http://hdl.handle.net/11449/111616 |
Resumo: | Dengue fever is a major public health problem worldwide, caused by any of four virus (DENV-1, DENV-2, DENV-3 and DENV4; 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 Sao 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. |
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Spatial Distribution of the Risk of Dengue and the Entomological Indicators in Sumare, State of Sao Paulo, BrazilDengue fever is a major public health problem worldwide, caused by any of four virus (DENV-1, DENV-2, DENV-3 and DENV4; 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 Sao 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.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)State Hlth Dept, Sao Paulo, BrazilUniv Estadual Campinas, Dept Publ Hlth, Fac Med Sci, Campinas, SP, BrazilState Univ Sao Paulo, Dept Environm Engn, Sao Paulo, BrazilState Univ Sao Paulo, Dept Environm Engn, Sao Paulo, BrazilFAPESP: 09/53123-7Public Library ScienceState Hlth DeptUniversidade Estadual de Campinas (UNICAMP)Universidade Estadual Paulista (Unesp)Barbosa, Gerson LaurindoDonalisio, Maria RitaStephan, CelsoLourenco, Roberto Wagner [UNESP]Andrade, Valmir RobertoArduino, Marylene de BritoCastor de Lima, Virgilia Luna2014-12-03T13:08:50Z2014-12-03T13:08:50Z2014-05-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article9application/pdfhttp://dx.doi.org/10.1371/journal.pntd.0002873Plos Neglected Tropical Diseases. San Francisco: Public Library Science, v. 8, n. 5, 9 p., 2014.1935-2735http://hdl.handle.net/11449/11161610.1371/journal.pntd.0002873WOS:000337735100054WOS000337735100054.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengPLoS Neglected Tropical Diseases4.3672,589info:eu-repo/semantics/openAccess2023-10-25T06:08:05Zoai:repositorio.unesp.br:11449/111616Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T15:53:51.405649Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Spatial Distribution of the Risk of Dengue and the Entomological Indicators in Sumare, State of Sao Paulo, Brazil |
title |
Spatial Distribution of the Risk of Dengue and the Entomological Indicators in Sumare, State of Sao Paulo, Brazil |
spellingShingle |
Spatial Distribution of the Risk of Dengue and the Entomological Indicators in Sumare, State of Sao Paulo, Brazil Barbosa, Gerson Laurindo |
title_short |
Spatial Distribution of the Risk of Dengue and the Entomological Indicators in Sumare, State of Sao Paulo, Brazil |
title_full |
Spatial Distribution of the Risk of Dengue and the Entomological Indicators in Sumare, State of Sao Paulo, Brazil |
title_fullStr |
Spatial Distribution of the Risk of Dengue and the Entomological Indicators in Sumare, State of Sao Paulo, Brazil |
title_full_unstemmed |
Spatial Distribution of the Risk of Dengue and the Entomological Indicators in Sumare, State of Sao Paulo, Brazil |
title_sort |
Spatial Distribution of the Risk of Dengue and the Entomological Indicators in Sumare, State of Sao Paulo, Brazil |
author |
Barbosa, Gerson Laurindo |
author_facet |
Barbosa, Gerson Laurindo Donalisio, Maria Rita Stephan, Celso Lourenco, Roberto Wagner [UNESP] Andrade, Valmir Roberto Arduino, Marylene de Brito Castor de Lima, Virgilia Luna |
author_role |
author |
author2 |
Donalisio, Maria Rita Stephan, Celso Lourenco, Roberto Wagner [UNESP] Andrade, Valmir Roberto Arduino, Marylene de Brito Castor de Lima, Virgilia Luna |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
State Hlth Dept Universidade Estadual de Campinas (UNICAMP) Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Barbosa, Gerson Laurindo Donalisio, Maria Rita Stephan, Celso Lourenco, Roberto Wagner [UNESP] Andrade, Valmir Roberto Arduino, Marylene de Brito Castor de Lima, Virgilia Luna |
description |
Dengue fever is a major public health problem worldwide, caused by any of four virus (DENV-1, DENV-2, DENV-3 and DENV4; 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 Sao 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. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-12-03T13:08:50Z 2014-12-03T13:08:50Z 2014-05-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1371/journal.pntd.0002873 Plos Neglected Tropical Diseases. San Francisco: Public Library Science, v. 8, n. 5, 9 p., 2014. 1935-2735 http://hdl.handle.net/11449/111616 10.1371/journal.pntd.0002873 WOS:000337735100054 WOS000337735100054.pdf |
url |
http://dx.doi.org/10.1371/journal.pntd.0002873 http://hdl.handle.net/11449/111616 |
identifier_str_mv |
Plos Neglected Tropical Diseases. San Francisco: Public Library Science, v. 8, n. 5, 9 p., 2014. 1935-2735 10.1371/journal.pntd.0002873 WOS:000337735100054 WOS000337735100054.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
PLoS Neglected Tropical Diseases 4.367 2,589 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
9 application/pdf |
dc.publisher.none.fl_str_mv |
Public Library Science |
publisher.none.fl_str_mv |
Public Library Science |
dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
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1808128580416176128 |