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

Spatial modelling was applied to self-reported schistosomiasis data from over 2.5 million school students from 12,399 schools in all regions of mainland Tanzania. The aims were to derive statistically robust prevalence estimates in small geographical units (wards), to identify spatial clusters of hi...

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Autors principals: Clements, A.C.A., Brooker, S., Nyandindi, U., Fenwick, A., Blair, L.
Format: Artigo
Idioma:Inglês
Publicat: Elsevier Science 2008
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC2653941/
https://ncbi.nlm.nih.gov/pubmed/17920605
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ijpara.2007.08.001
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