Mapping and prediction of schistosomiasis in Nigeria using compiled survey data and Bayesian geospatial modelling
Submitted: 16 December 2014
Accepted: 16 December 2014
Published: 1 May 2013
Accepted: 16 December 2014
Abstract Views: 3473
PDF: 1464
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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Authors
Spatial Parasitology and Health GIS Group, Department of Biological Sciences, Federal University of Agriculture, Abeokuta, Nigeria.
Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel; University of Basel, Basel, Switzerland.
Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel; University of Basel, Basel, Switzerland.
Spatial Parasitology and Health GIS Group, Department of Biological Sciences, Federal University of Agriculture, Abeokuta, Nigeria.
Spatial Parasitology and Health GIS Group, Department of Biological Sciences, Federal University of Agriculture, Abeokuta, Nigeria.
Department of Public Health, National Institute for Medical Research, Yaba, Lagos, Nigeria.
Schistosomiasis/STH Control Programme, Department of Public Health, Federal Ministry of Health, Abuja, Nigeria.
Sightsavers, Nigeria Country Office, Kaduna, Nigeria.
Mission to Save the Helpless (MITOSATH), Jos, Nigeria.
Spatial Parasitology and Health GIS Group, Department of Biological Sciences, Federal University of Agriculture, Abeokuta, Nigeria.
Department of Microbiology, Federal University of Agriculture, Abeokuta, Nigeria.
Department of Animal and Environmental Biology, University of Calabar, Calabar, Nigeria.
National Onchocerciasis Control Programme (NOCP), Department of Public Health, Federal Ministry of Health, Abuja, Nigeria.
National Universities Commission, Abuja, Nigeria.
DBL, Department of Veterinary Disease Biology, University of Copenhagen, Frederiksberg C, Denmark; School of Biological and Conservation Sciences, Faculty of Science and Agriculture, University of KwaZulu-Natal, KawaZulu-Natal, South Africa.
Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel; University of Basel, Basel, Switzerland.
Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel; University of Basel, Basel, Switzerland.
How to Cite
Ekpo, U. F., Hürlimann, E., Schur, N., Oluwole, A. S., Abe, E. M., Mafe, M. A., Nebe, O. J., Isiyaku, S., Olamiju, F., Kadiri, M., Poopola, T. O., Braide, E. I., Saka, Y., Mafiana, C. F., Kristensen, T. K., Utzinger, J., & Vounatsou, P. (2013). Mapping and prediction of schistosomiasis in Nigeria using compiled survey data and Bayesian geospatial modelling. Geospatial Health, 7(2), 355–366. https://doi.org/10.4081/gh.2013.92
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