Title |
Estratificação automática de áreas prioritárias para controle da dengue utilizando o Model Builder do QGIS em uma análise multicritério
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Published in |
Epidemiologia e Serviços de Saúde, May 2020
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DOI | 10.5123/s1679-49742020000200004 |
Pubmed ID | |
Authors |
Edmar Franco de Paiva, Tânia da Silva Vaz, Marcello Rosa, Ivana Lúcia Borges e Garcia |
Abstract |
to present a methodological sequence resulting from multicriteria analysis indicating areas with different Aedes aegypti intervention priorities. a Female Aedes Displacement Index (IDFAedes) was created, consolidated according to urban blocks, representing interaction between population densities, Aedes aegypti oviposition sites and dengue case notifications; a graphical model (Model Builder) was developed with QGIS software using the Kernel mapping algorithm and IDFAedes as the weighting factor. stratification for the evaluated example - Anápolis, GO, Brazil - indicated intervention priority levels for urban blocks - 17.5%, very low priority; 37.3%, low; 33.6%, medium; 10.2%, high; 1.4%, very high -; blocks with medium, high, and very high priority accounted for 22.53,% of the territory in the area. the spatial block method proposed in this article can be included in health surveillance programs for intensified targeting and planning of control actions. |
X Demographics
Geographical breakdown
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Unknown | 3 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 3 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 23 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Lecturer | 3 | 13% |
Researcher | 3 | 13% |
Student > Master | 3 | 13% |
Student > Bachelor | 3 | 13% |
Unspecified | 1 | 4% |
Other | 2 | 9% |
Unknown | 8 | 35% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 4 | 17% |
Agricultural and Biological Sciences | 3 | 13% |
Veterinary Science and Veterinary Medicine | 1 | 4% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
Unspecified | 1 | 4% |
Other | 2 | 9% |
Unknown | 11 | 48% |