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

• Dana M. Woodhall ,

  * E-mail: dqw6@cdc.gov

  Affiliation Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America

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• Ryan E. Wiegand,

  Affiliation Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America

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• Michael Wellman,

  Affiliation Geospatial Research, Analysis and Services Program, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America

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• Elizabeth Matey,

  Affiliation Centre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya

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• Bernard Abudho,

  Affiliation Centre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya

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• Diana M. S. Karanja,

  Affiliation Centre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya

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• Pauline M. N. Mwinzi,

  Affiliation Centre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya

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• Susan P. Montgomery,

  Affiliation Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America

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• W. Evan Secor

  Affiliation Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America

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