Mapping and prediction of schistosomiasis in Nigeria using compiled survey data and Bayesian geospatial modelling

Mapping and prediction of schistosomiasis in Nigeria using compiled survey data and Bayesian geospatial modelling

Schistosomiasis prevalence data for Nigeria were extracted from peer-reviewed journals and reports, geo-referenced and collated in a nationwide geographical information system database for the generation of point prevalence maps. This exercise revealed that the disease is endemic in 35 of the countr...

Full description

Bibliographic Details
Main Authors: Uwem F. Ekpo, Eveline Hürlimann, Nadine Schur, Akinola. S. Oluwole, Eniola M. Abe, Margaret A. Mafe, Obiageli J. Nebe, Sunday Isiyaku, Francisca Olamiju, Mukaila Kadiri, Temitope O.S. Poopola, Eka I. Braide, Yisa Saka, Chiedu F. Mafiana, Thomas K. Kristensen, Jürg Utzinger, Penelope Vounatsou
Format: Article
Language:English
Published: PAGEPress Publications 2013-05-01
Series:Geospatial Health
Subjects:
schistosomiasis, prevalence, geo-referencing, geographical information system, risk mapping, Bayesian geospatial modelling, control, Nigeria.
Online Access:http://www.geospatialhealth.net/index.php/gh/article/view/92

Internet

http://www.geospatialhealth.net/index.php/gh/article/view/92

Similar Items