title: Geographic information systems and the environmental risk of schistosomiasis in Bahia, Brazil.
abstract: A geographic information system was constructed using maps of regional environmental features, Schistosoma mansoni prevalence in 30 representative municipalities, and snail distribution in Bahia, Brazil to study the spatial and temporal dynamics of infection and to identify environmental factors that influence the distribution of schistosomiasis. Results indicate that population density and the duration of annual dry period are the most important determinants of prevalence of schistosomiasis in the areas selected for study. Maximum rainfall, total precipitation during three consecutive months, annual maximum or minimum temperatures, and diurnal temperature difference were not shown to be significant factors influencing S. mansoni prevalence in local populations or distribution of snail hosts. Prevalence of the disease was highest in the coastal areas of the state. Higher prevalence tended to occur in areas with latossolo soil type and transitional vegetation.
authors.affiliation: Department of Epidemiology and Community Health, Louisiana State University, Baton Rouge 70803, USA.
authors.forename: M E
authors.initials: ME
authors.lastname: Bavia
authors.forename: L F
authors.initials: LF
authors.lastname: Hale
authors.forename: J B
authors.initials: JB
authors.lastname: Malone
authors.forename: D H
authors.initials: DH
authors.lastname: Braud
authors.forename: S M
authors.initials: SM
authors.lastname: Shane
mesh_terms: D000818:Animals; D001700:Biomphalaria / Q000469:parasitology* / Q000502:physiology*; D001938:Brazil / Q000453:epidemiology; D003198:Computer Simulation; D016208:Databases, Factual; D005843:Geography; D006801:Humans; D007256:Information Systems; D008954:Models, Biological; D011156:Population Density; D015995:Prevalence; D011891:Rain; D018570:Risk Assessment; D012552:Schistosomiasis / Q000453:epidemiology*; D013696:Temperature