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

Geospatial Health

Volumn 7, Issue 2, 2013, Pages 355-366

  Ekpo, Uwem F ^a   Hürlimann, Eveline ^b,c   Schur, Nadine ^b,c   Oluwole, Akinola S ^a   Abe, Eniola M ^a   Mafe, Margaret A ^d   Nebe, Obiageli J ^e   Isiyaku, Sunday ^f   Olamiju, Francisca ^g   Kadiri, Mukaila ^a   Poopola, Temitope O S ^a   Braide, Eka I ^h   Saka, Yisa ^e   Mafiana, Chiedu F ⁱ   Kristensen, Thomas K ^j,k   Utzinger, Jürg ^b,c   Vounatsou, Penelope ^b,c  

^a FEDERAL UNIVERSITY OF AGRICULTURE   (Nigeria)

^b SWISS TROPICAL AND PUBLIC HEALTH INSTITUTE   (Switzerland)

^c UNIVERSITY OF BASEL   (Switzerland)

^d NIGERIAN INSTITUTE OF MEDICAL RESEARCH   (Nigeria)

^e Federal Ministry of Health   (Nigeria)

^f SIGHTSAVERS   (United Kingdom)

^g 605 Hospital Place   (Nigeria)

^h UNIVERSITY OF CALABAR   (Nigeria)

ⁱ National Universities Commission   (Nigeria)

^j UNIVERSITY OF COPENHAGEN   (Denmark)

^k UNIVERSITY OF KWAZULU NATAL   (South Africa)

more..

Author keywords

Bayesian geospatial modelling; Control; Geo referencing; Geographical information system; Nigeria; Prevalence; Risk mapping; Schistosomiasis

Indexed keywords

EID: 84878499792     PISSN: 18271987     EISSN: 19707096     Source Type: Journal    
DOI: 10.4081/gh.2013.92     Document Type: Article

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