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Association among house infestation index, dengue incidence, and sociodemographic indicators: surveillance using geographic information system

Overview of attention for article published in BMC Public Health, August 2015
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Title
Association among house infestation index, dengue incidence, and sociodemographic indicators: surveillance using geographic information system
Published in
BMC Public Health, August 2015
DOI 10.1186/s12889-015-2097-3
Pubmed ID
Authors

Waldemir Paixão Vargas, Hélia Kawa, Paulo Chagastelles Sabroza, Valdenir Bandeira Soares, Nildimar Alves Honório, Andréa Sobral de Almeida

Abstract

We identified dengue transmission areas by using the Geographic Information Systems located at local surveillance units of the Itaboraí municipality in state of Rio de Janeiro. We considered the association among the house infestation index, the disease incidence, and sociodemographic indicators during a prominent dengue outbreak in 2007 and 2008. In this ecological study, the Local Surveillance Units (UVLs) of the municipality were used as spatial pattern units. For the house analysis, we used the period of higher vector density that occurred previous to the larger magnitude epidemic range of dengue cases. The average dengue incidence rates calculated in this epidemic range were smoothed using the Bayesian method. The associations among the House Infestation Index (HI), the Bayesian rate of the average dengue incidence, and the sociodemographic indicators were evaluated using a Pearson's correlation coefficient. The areas that were at a higher risk of dengue occurrence were detected using a kernel density estimation with the kernel quartic function. The dengue transmission pattern in Itaboraí showed that the increase in the vector density preceded the increase in incidence. The HI was positively correlated to the Bayesian dengue incidence rate (r = 0.641; p = 0.01). The higher risk areas were those that were close to the main highways. In the Kernel density estimation analysis, we observed that the regions that were at a higher risk of dengue were those that were located in the UVLs and had the highest population densities; these locations were typically located along major highways. Four nuclei were identified as epicenters of high risk. The spatial analysis units used in this research, i.e., UVLs, served as a methodological resource for examining the compatibility of different information sources concerning the disease, the vector indices, and the municipal sociodemographic aspects and were arranged in distinct cartographic bases. Dengue is a multi-scale geographic phenomenon, and using the UVLs as analysis units made it possible to differentiate the dengue occurrence throughout the municipality. The methodological approach used in this research helped improve the Itaboraí municipality monitoring activities and the local territorial monitoring in other municipalities that are affected by this public health issue.

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Mendeley readers

The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 3 2%
United Kingdom 2 2%
Canada 1 <1%
Indonesia 1 <1%
Unknown 116 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 25 20%
Researcher 22 18%
Student > Bachelor 14 11%
Student > Ph. D. Student 13 11%
Student > Doctoral Student 8 7%
Other 22 18%
Unknown 19 15%
Readers by discipline Count As %
Medicine and Dentistry 23 19%
Agricultural and Biological Sciences 17 14%
Nursing and Health Professions 11 9%
Environmental Science 10 8%
Biochemistry, Genetics and Molecular Biology 7 6%
Other 27 22%
Unknown 28 23%