Remote Sensing and Geographic Information Systems and risk of American visceral leishmaniasis in Bahia, Brazil.
The spatial distribution of American visceral leishmaniasis (VL) was studied within the context of the environmental characteristics of northwest Bahia State in Brazil during an epidemic year. Geographic Information Systems (GIS) and Remote Sensing (RS) were used to characterize the landscape epidemiology of VL in order to identify and map high risk areas and endemic zones in a northwestern Bahia study area. Normalized Difference Vegetation Index (NDVI) was shown to be one of the most important risk factors in the area of study. Low NDVI values were related to high numbers of sand flies and high numbers of human and canine VL positive cases. Caatinga vegetation type was the dominant vegetation type in the endemic area. The use of RS and GIS allowed the identification of classes of VL risk that may be useful information to guide control program interventions.
Bavia
M E
ME
Universidade Federal da Bahia, Brasil. newmeb2004@yahoo.com.br
Carneiro
D D Madureira Trabuco
DD
Gurgel
H da Costa
Hda C
Madureira Filho
C
C
Barbosa
M G Rodrigues
MG
D000818:Animals; D001938:Brazil / Q000453:epidemiology; D002980:Climate; D004283:Dog Diseases / Q000453:epidemiology / Q000469:parasitology / Q000635:transmission; D004285:Dogs; D017753:Ecosystem; D019353:Endemic Diseases; D004784:Environmental Monitoring / Q000295:instrumentation / Q000379:methods; D062665:Epidemiological Monitoring; D040362:Geographic Information Systems; D006801:Humans; D015994:Incidence; D007303:Insect Vectors / Q000469:parasitology; D007893:Leishmania donovani / Q000302:isolation & purification; D007898:Leishmaniasis, Visceral / Q000453:epidemiology* / Q000635:transmission / Q000662:veterinary; D010944:Plants; D011576:Psychodidae / Q000469:parasitology; D012306:Risk; D012307:Risk Factors; D017215:Satellite Communications; D014504:Urban Health