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Influence of proximity to potential risk properties on the incidence of Dengue, in the city of Campinas, São Paulo, Brazil

Grant number: 17/19446-0
Support type:Scholarships in Brazil - Doctorate
Effective date (Start): June 01, 2018
Effective date (End): July 31, 2021
Field of knowledge:Humanities - Geography - Human Geography
Principal researcher:Marcos César Ferreira
Grantee:Jessica Andretta Mendes
Home Institution: Instituto de Geociências (IG). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
Associated scholarship(s):19/22787-9 - Study of spatial statistics methods to evaluate the association between dengue incidence and proximity to places hypothesized as sources of increased risk in Campinas municipality, Brazil, BE.EP.DR

Abstract

The main preventive measure against Dengue epidemics is to control the emergence and development of Aedes aegypti mosquitoes, since the available vaccine is not totally effective and has some limitations. Among many other actions to avoid the vector proliferation, the municipal administration has registered and controlled a number of properties with characteristics that may increase the risk of Aedes aegypti circulation and Dengue virus infection. These properties, known as Special Properties and Strategic Points, have high concentration of preferred receptacle for the breeding of Aedes aegypti, e.g., cemetery, floriculture, gas station, and others. Some of these places also may provide conditions to spread Dengue virus due to the great flow and/or permanence of people, e.g., hospitals, universities, parks, and others. Although there are some studies that have highlighted the importance of these properties in the vector proliferation and the spread of Dengue, they have not accurately determined the effect of distance to these points on the local incidence of the disease. In this context, the aim of this research is to evaluate the influence of the distance between the addresses of the infected people and the Special Properties/Strategic Points on the incidence of Dengue cases, between 2013 and 2016, in the city of Campinas, São Paulo, Brazil. For this purpose we are going to use Geographic Information System (GIS), as well as statistical techniques and geospatial analysis methods. Results obtained by this research may contribute to the logistics of health surveillance and epidemiological control activities of Campinas and other Brazilian regions subject to epidemics. In addition, the product of this research may indicate more critical locations, where greater attention should be given to larval combat, reducing costs and optimizing the health surveillance work. (AU)

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