title: Use of geoprocessing to define malaria risk areas and evaluation of the vectorial importance of anopheline mosquitoes (Diptera: Culicidae) in Espírito Santo, Brazil.
abstract: In Brazil, introduced malaria occurs from the flat to the sloping hot areas, predominantly outside the Amazon Region, where endemic malaria has occurred in the past. This is a consequence of human migrations to other Brazilian states, including the state of Espírito Santo (ES). The objective of this study was to use geoprocessing to define the areas at risk of introduced malaria transmission and evaluate the vectorial importance of species of anophelines in ES. Anophelines were sampled from 1997-2005 in 297 rural localities identified or not identified as foci of malaria during the last 20 years. The geoclimatic variables temperature, relief and marine influence were obtained from a database of the ES Natural Units. The 14,663 anophelines captured belonged to 22 species. A significant association was found between the occurrence of malaria foci and the presence of hot, low-lying areas or gently undulating to undulating relief. The occurrence of the disease was associated with the presence of Anopheles darlingi and Anopheles aquasalis. Geoprocessing was determined to be a useful tool for defining areas at risk for malaria and vectors in ES.
authors.affiliation: Universidade Federal do Espírito Santo, 29040-090 Vitória, ES, Brasil. vmeneguzzi@gmail.com
authors.forename: Viviane Coutinho
authors.initials: VC
authors.lastname: Meneguzzi
authors.forename: Claudiney Biral dos
authors.initials: CB
authors.lastname: Santos
authors.forename: Israel de Souza
authors.initials: Ide S
authors.lastname: Pinto
authors.forename: Leandro Roberto
authors.initials: LR
authors.lastname: Feitoza
authors.forename: Hideko Nagatani
authors.initials: HN
authors.lastname: Feitoza
authors.forename: Aloísio
authors.initials: A
authors.lastname: Falqueto
mesh_terms: D000818:Animals; D000852:Anopheles / Q000145:classification*; D001938:Brazil / Q000453:epidemiology; D040362:Geographic Information Systems; D006801:Humans; D007303:Insect Vectors / Q000145:classification*; D008288:Malaria / Q000453:epidemiology / Q000635:transmission*; D011156:Population Density; D018570:Risk Assessment; D012424:Rural Population