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Journal of Tropical Medicine
Volume 2012, Article ID 642910, 8 pages
Research Article

Microspatial Distributional Patterns of Vectors of Cutaneous Leishmaniasis in Pernambuco, Northeastern Brazil

1Departmento de Medicina Preventiva e Social, Faculdade de Ciências Médicas, UNICAMP, Rua Tessalia Vieira de Camargo 126, 13083-887, Campinas, São Paulo, Brazil
2Biodiversity Institute, University of Kansas, 1345 Jayhawk Boulevard, Lawrence, 66045, USA
3Instituto Aggeu Magalhães, Fundação Oswaldo Cruz, Avenida Moraes Rego s/n, 50670-420 Recife, PE, Brazil
4Instituto de Ciências Biomédicas, Universidade de São Paulo, Avenida Prof. Lineu Prestes 2415, 05508-900 São Paulo, SP, Brazil

Received 16 August 2011; Accepted 9 October 2011

Academic Editor: Elizabeth F. Rangel

Copyright © 2012 Maria Rita Donalisio et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The purpose of this study is to analyze the spatial distribution and population trends through time of Lutzomyia species in a long-term focus of cutaneous leishmaniasis transmission in an Atlantic Forest area, northeastern Brazil. Sand fly populations of different ecological niches were monitored spatiotemporally in 2009. To summarize vegetation characteristics and phenology, we calculated the Normalized Difference Vegetation Index from Landsat images. Using niche modeling approaches, we assessed suites of environmental factors to identify areas of transmission risk. Although 12 species were detected, L. whitmani was the most abundant and broadly distributed across the area, particularly in peridomiciliary locations, and associated negatively with denser vegetation areas. On the other hand, L. complexa, L. sordelli, and L. tupynambai were found almost exclusively in forested areas ( 𝑃 < 0 . 0 5 ), and associated positively with denser vegetation. Lutzomyia species' occurrences are related to specific environmental combinations (with contrast among species) in the region.