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

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 sp...

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Main Authors: Maria Rita Donalisio, A. Townsend Peterson, Pietra Lemos Costa, Fernando José da Silva, Hélio França Valença, Jeffrey J. Shaw, Sinval P. Brandão Filho
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:Journal of Tropical Medicine
Online Access:http://dx.doi.org/10.1155/2012/642910
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author Maria Rita Donalisio
A. Townsend Peterson
Pietra Lemos Costa
Fernando José da Silva
Hélio França Valença
Jeffrey J. Shaw
Sinval P. Brandão Filho
author_facet Maria Rita Donalisio
A. Townsend Peterson
Pietra Lemos Costa
Fernando José da Silva
Hélio França Valença
Jeffrey J. Shaw
Sinval P. Brandão Filho
author_sort Maria Rita Donalisio
collection DOAJ
description 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<0.05), and associated positively with denser vegetation. Lutzomyia species' occurrences are related to specific environmental combinations (with contrast among species) in the region.
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institution Kabale University
issn 1687-9686
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language English
publishDate 2012-01-01
publisher Wiley
record_format Article
series Journal of Tropical Medicine
spelling doaj-art-9671178993a4443dbf631fdffe953f082025-02-03T05:43:52ZengWileyJournal of Tropical Medicine1687-96861687-96942012-01-01201210.1155/2012/642910642910Microspatial Distributional Patterns of Vectors of Cutaneous Leishmaniasis in Pernambuco, Northeastern BrazilMaria Rita Donalisio0A. Townsend Peterson1Pietra Lemos Costa2Fernando José da Silva3Hélio França Valença4Jeffrey J. Shaw5Sinval P. Brandão Filho6Departmento de Medicina Preventiva e Social, Faculdade de Ciências Médicas, UNICAMP, Rua Tessalia Vieira de Camargo 126, 13083-887, Campinas, São Paulo, BrazilBiodiversity Institute, University of Kansas, 1345 Jayhawk Boulevard, Lawrence, 66045, USAInstituto Aggeu Magalhães, Fundação Oswaldo Cruz, Avenida Moraes Rego s/n, 50670-420 Recife, PE, BrazilInstituto Aggeu Magalhães, Fundação Oswaldo Cruz, Avenida Moraes Rego s/n, 50670-420 Recife, PE, BrazilInstituto Aggeu Magalhães, Fundação Oswaldo Cruz, Avenida Moraes Rego s/n, 50670-420 Recife, PE, BrazilInstituto de Ciências Biomédicas, Universidade de São Paulo, Avenida Prof. Lineu Prestes 2415, 05508-900 São Paulo, SP, BrazilInstituto Aggeu Magalhães, Fundação Oswaldo Cruz, Avenida Moraes Rego s/n, 50670-420 Recife, PE, BrazilThe 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<0.05), and associated positively with denser vegetation. Lutzomyia species' occurrences are related to specific environmental combinations (with contrast among species) in the region.http://dx.doi.org/10.1155/2012/642910
spellingShingle Maria Rita Donalisio
A. Townsend Peterson
Pietra Lemos Costa
Fernando José da Silva
Hélio França Valença
Jeffrey J. Shaw
Sinval P. Brandão Filho
Microspatial Distributional Patterns of Vectors of Cutaneous Leishmaniasis in Pernambuco, Northeastern Brazil
Journal of Tropical Medicine
title Microspatial Distributional Patterns of Vectors of Cutaneous Leishmaniasis in Pernambuco, Northeastern Brazil
title_full Microspatial Distributional Patterns of Vectors of Cutaneous Leishmaniasis in Pernambuco, Northeastern Brazil
title_fullStr Microspatial Distributional Patterns of Vectors of Cutaneous Leishmaniasis in Pernambuco, Northeastern Brazil
title_full_unstemmed Microspatial Distributional Patterns of Vectors of Cutaneous Leishmaniasis in Pernambuco, Northeastern Brazil
title_short Microspatial Distributional Patterns of Vectors of Cutaneous Leishmaniasis in Pernambuco, Northeastern Brazil
title_sort microspatial distributional patterns of vectors of cutaneous leishmaniasis in pernambuco northeastern brazil
url http://dx.doi.org/10.1155/2012/642910
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