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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
Authors: Barbosa, Gerson Laurindo; Donalisio, Maria Rita; Stephan, Celso; Lourenco, Roberto Wagner; Andrade, Valmir Roberto; Arduino, Marylene de Brito; Castor de Lima, Virgilia Luna
Contributors: Universidade Estadual Paulista (UNESP)
Publisher Information: Public Library Science
Publication Year: 2014
Collection: Universidade Estadual Paulista São Paulo: Repositório Institucional UNESP
Description: Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) ; Processo FAPESP: 09/53123-7 ; 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.
Document Type: article in journal/newspaper
Language: English
ISSN: 1935-2735
Relation: PLoS Neglected Tropical Diseases; 4.367; 2,589; 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.; http://hdl.handle.net/11449/111616; WOS:000337735100054; WOS000337735100054.pdf
DOI: 10.1371/journal.pntd.0002873
Availability: http://hdl.handle.net/11449/111616; https://doi.org/10.1371/journal.pntd.0002873
Rights: openAccess
Accession Number: edsbas.B83AB646
Database: BASE