Use of an Extended Premise Condition Index for detection of priority areas for vector control actions.

Autor: Barbosa GL; Superintendência de Controle de Endemias, Secretaria de Saúde do Estado de São Paulo. Rua Paula Souza, 166, São Paulo, SP, Brazil, 01027-000. Electronic address: gersonlbarbosa@yahoo.com.br., Lage MO; Programa de Pós-graduação em Ciência Ambiental, Universidade de São Paulo. Avenida Professor Luciano Gualberto, 1289, São Paulo, SP, Brazil, 05508-010. Electronic address: mariana_lage@usp.br., Andrade VR; Serviço Regional de Campinas, Superintendência de Controle de Endemias, Secretaria de Saúde do Estado de São Paulo. Rua Fernão Pompeu de Camargo, 372, Campinas, SP, Brazil, 13041-025. Electronic address: valmir@mpc.com.br., Gomes AHA; Superintendência de Controle de Endemias, Secretaria de Saúde do Estado de São Paulo. Rua Paula Souza, 166, São Paulo, SP, Brazil, 01027-000. Electronic address: goreau@terra.com.br., Quintanilha JA; Instituo de Energia e Ambiente, Universidade de São Paulo. Avenida, 1289, São Paulo, SP, Brazil, 05508-010.. Electronic address: josealberto.quintanilha@gmail.com., Chiaravalloti Neto F; Faculdade de Saúde Pública, Universidade de São Paulo. Avenida Doutor Arnaldo, 715, São Paulo, SP, Brazil, 01246-904. Electronic address: franciscochiara@usp.br.
Jazyk: angličtina
Zdroj: Acta tropica [Acta Trop] 2020 Sep; Vol. 209, pp. 105543. Date of Electronic Publication: 2020 May 26.
DOI: 10.1016/j.actatropica.2020.105543
Abstrakt: The Premise Condition Index (PCI), proposed by Tun-Lin and colleagues in 1995, is a score that considers the conditions of a premise as well its yards and degree of shading. They hypothesized that the higher its value the greater the probability of the premise having the presence of Aedes aegypti. This study aimed to evaluate if there is a correspondence between PCI and Ae. aegypti infestation in four areas of a large city in the State of São Paulo, Brazil, if the inclusion of new categories related to the presence of animals in premises would increase the probability of detecting predictive areas for vector control actions and, if so, to propose an expanded PCI. The positivity of the premises for the presence of Ae. aegypti was modeled considering a Bernoulli probability distribution, in a Bayesian context using the Integrated Nested Laplace Approximation. The study showed that, in general, the higher the value of the PCI of a premise, the more likely it is to have the presence of Ae. aegypti, and the inclusion of information on the animals' presence can increase the discriminatory power of PCI. These results support the proposition of an extended PCI that would consider, in addition to the conditions of the premise, the presence of animals to classify it regarding the risk of the presence of Ae. aegypti.
Competing Interests: Declaration of competing interests None
(Copyright © 2020 Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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