Bayesian spatial analysis of a national urinary schistosomiasis questionnaire to assist geographic targeting of schistosomiasis control in Tanzania, East Africa.

Clements, A C A; Brooker, S; Nyandindi, U; Fenwick, A; Blair, L

Clements, A C A; Brooker, S; Nyandindi, U; Fenwick, A; Blair, L.

Affiliation

Clements AC; Division of Epidemiology and Social Medicine, School of Population Health, University of Queensland, Herston Road, Herston, Qld. 4006, Australia. a.clements@uq.edu.au

Int J Parasitol ; 38(3-4): 401-15, 2008 Mar.

Article in En | MEDLINE | ID: mdl-17920605

Subject(s)

Bayes Theorem; Schistosoma mansoni; Schistosomiasis haematobia/epidemiology; Schistosomiasis mansoni/epidemiology; Animals; Child; Humans; Prevalence; Schistosomiasis haematobia/prevention & control; Schistosomiasis mansoni/prevention & control; Surveys and Questionnaires; Tanzania/epidemiology

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Schistosoma mansoni / Schistosomiasis mansoni / Schistosomiasis haematobia / Bayes Theorem Type of study: Prevalence_studies / Prognostic_studies / Risk_factors_studies Limits: Animals / Child / Humans Country/Region as subject: Africa Language: En Journal: Int J Parasitol Year: 2008 Type: Article Affiliation country: Australia

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