%0 Journal Article
%K Surveys and Questionnaires
%K Schistosomiasis haematobia
%K Schistosoma haematobium
%K Risk Assessment
%K Prevalence
%K Nigeria
%K Logistic Models
%K Humans
%K Geographic Information Systems
%K Environment
%K Disease Vectors
%K Child, Preschool
%K Child
%K Animals
%K Adolescent
%B BMC infectious diseases
%D 2008
%G eng
%N 1
%P 74
%R 10.1186/1471-2334-8-74
%T Geographical information system and predictive risk maps of urinary schistosomiasis in Ogun State, Nigeria.
%U http://download.springer.com/static/pdf/697/art%253A10.1186%252F1471-2334-8-74.pdf?originUrl=http%3A%2F%2Fbmcinfectdis.biomedcentral.com%2Farticle%2F10.1186%2F1471-2334-8-74&token2=exp=1467635448~acl=%2Fstatic%2Fpdf%2F697%2Fart%25253A10.1186%25252F1471-23
%V 8
%1 <p>http://www.ncbi.nlm.nih.gov/pubmed/18513442?dopt=Abstract</p>