Use of Geospatial Modeling to Predict Schistosoma mansoni Prevalence in Nyanza Province, Kenya

PLoS ONE

Volumn 8, Issue 8, 2013, Pages

  Woodhall, Dana M ^a   Wiegand, Ryan E ^a   Wellman, Michael ^a   Matey, Elizabeth ^b   Abudho, Bernard ^b   Karanja, Diana M S ^b   Mwinzi, Pauline M N ^b   Montgomery, Susan P ^a   Secor, W Evan ^a  

^a CENTERS FOR DISEASE CONTROL AND PREVENTION   (United States)

^b KENYA MEDICAL RESEARCH INSTITUTE   (Kenya)

Author keywords

[No Author keywords available]

Indexed keywords

RAIN;

ADOLESCENT; ADULT; ALTITUDE; ANALYTIC METHOD; ARTICLE; CHILD; ENVIRONMENTAL FACTOR; ENVIRONMENTAL PARAMETERS; ENVIRONMENTAL TEMPERATURE; GEOGRAPHIC DISTRIBUTION; GEOSPATIAL MODELING; GLOBAL POSITIONING SYSTEM; HUMAN; HUMAN ACTIVITIES; KENYA; LAND SURFACE TEMPERATURE; LAND USE; MAJOR CLINICAL STUDY; NORMALIZED DIFFERENCE VEGETATION INDEX; PARASITE PREVALENCE; POPULATION; PREDICTION; RURAL AREA; SCHISTOSOMA MANSONI; SCHISTOSOMIASIS MANSONI; SCHOOL CHILD; SOIL BULK DENSITY; SOIL PH; SOIL PROPERTY; SOIL TEXTURE; SOIL WATER POTENTIAL;

ANIMALS; CHILD; GEOGRAPHY; HUMANS; KENYA; MODELS, THEORETICAL; MULTIVARIATE ANALYSIS; PREVALENCE; REGRESSION ANALYSIS; SCHISTOSOMA MANSONI; SCHISTOSOMIASIS; SPATIAL ANALYSIS;

EID: 84881520427     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0071635     Document Type: Article

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