| Full text | |
| Author(s): |
Barbosa, Gerson Laurindo
[1]
;
Donalisio, Maria Rita
[2]
;
Stephan, Celso
[2]
;
Lourenco, Roberto Wagner
[3]
;
Andrade, Valmir Roberto
[1]
;
Arduino, Marylene de Brito
[1]
;
Castor de Lima, Virgilia Luna
[1]
Total Authors: 7
|
| Affiliation: | [1] State Hlth Dept, Sao Paulo - Brazil
[2] Univ Estadual Campinas, Dept Publ Hlth, Fac Med Sci, Campinas, SP - Brazil
[3] State Univ Sao Paulo, Dept Environm Engn, Sao Paulo - Brazil
Total Affiliations: 3
|
| Document type: | Journal article |
| Source: | PLoS Neglected Tropical Diseases; v. 8, n. 5 MAY 2014. |
| Web of Science Citations: | 14 |
| Abstract | |
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. (AU) | |
| FAPESP's process: | 09/53123-7 - Evaluation of dengue entomological indexes in regions of São Paulo state, Brazil |
| Grantee: | Virgília Luna Castor de Lima |
| Support Opportunities: | Research Grants - Research in Public Policies for the National Health Care System (PP-SUS) |