title: Remote sensing of tropical wetlands for malaria control in Chiapas, Mexico.
abstract: Malaria, transmitted by anopheline mosquitoes, remains a serious health problem in the tropics. Most malaria eradication efforts focus on control of anopheline vectors. These efforts include the NASA Di-Mod project, whose current goal is to integrate remote sensing, geographic information systems (GIS), and field research to predict anopheline mosquito population dynamics in the Pacific coastal plain of Chiapas, Mexico. Field studies demonstrate that high larval production of Anopheles albimanus, the principal malaria vector in the plain, can be linked to a small number of larval habitat-types, determined by larval sampling and cluster analysis of wetlands in the coastal plain. Analysis of wet and dry season Landsat Thematic Mapper (TM) satellite imagery identified 16 land cover units within an 185-km2 study area in the coastal zone. A hierarchical approach was used to link the larval habitat-types with the larger land cover units and make predictions of potential and actual low, medium, and high anopheline production. The TM-based map and GIS techniques were then used to predict differences in anopheline production at two villages, La Victoria and Efrain Gutierrez. La Victoria was predicted to have much higher Anopheles albimanus production, based upon a 2-10 times greater extent of medium- and high-producing land cover units in its vicinity. This difference between villages was independently supported by sampling (with light traps) of adults, which were 5-10 times more abundant in La Victoria.
authors.affiliation: Geo Eco Arc Research, La Canada, California 91011, USA.
authors.forename: K O
authors.initials: KO
authors.lastname: Pope
authors.forename: E
authors.initials: E
authors.lastname: Rejmankova
authors.forename: H M
authors.initials: HM
authors.lastname: Savage
authors.forename: J I
authors.initials: JI
authors.lastname: Arredondo-Jimenez
authors.forename: M H
authors.initials: MH
authors.lastname: Rodriguez
authors.forename: D R
authors.initials: DR
authors.lastname: Roberts
mesh_terms: D000818:Animals; D000852:Anopheles / Q000254:growth & development*; D017753:Ecosystem; D004784:Environmental Monitoring / Q000295:instrumentation / Q000379:methods*; D062665:Epidemiological Monitoring; D005843:Geography; D007090:Image Interpretation, Computer-Assisted; D007091:Image Processing, Computer-Assisted; D007303:Insect Vectors; D007814:Larva; D008288:Malaria / Q000453:epidemiology / Q000517:prevention & control* / Q000635:transmission; D008800:Mexico / Q000453:epidemiology; D009032:Mosquito Control / Q000295:instrumentation / Q000379:methods*; D017215:Satellite Communications