Ecological niche modeling for visceral leishmaniasis in the state of Bahia, Brazil, using genetic algorithm for rule-set prediction and growing degree day-water budget analysis

Ecological niche modeling for visceral leishmaniasis in the state of Bahia, Brazil, using genetic algorithm for rule-set prediction and growing degree day-water budget analysis

Two predictive models were developed within a geographic information system using Genetic Algorithm Rule-Set Prediction (GARP) and the growing degree day (GDD)-water budget (WB) concept to predict the distribution and potential risk of visceral leishmaniasis (VL) in the State of Bahia, Brazil. The o...

Full description

Bibliographic Details
Main Authors: Prixia Nieto, John B. Malone, Maria E. Bavia
Format: Article
Language:English
Published: PAGEPress Publications 2006-11-01
Series:Geospatial Health
Subjects:
visceral leishmaniasis, ecological niche model, GARP, Lutzomyia longipalpis, Leishmania chagasi, geographical information systems, remote sensing.
Online Access:http://www.geospatialhealth.net/index.php/gh/article/view/286

Internet

http://www.geospatialhealth.net/index.php/gh/article/view/286

Similar Items