Ricardo J. Soares Magalhães|Maria Sonia S. Salamat|Lydia Leonardo|Darren J. Gray|Hélène Carabin|Kate Halton|Donald P. McManus|Gail M. Williams|Pilarita T. Rivera|Ofelia P. Saniel|Leda Hernandez|Laith Yakob|Stephen T. McGarvey|Archie C. A. Clements
Geographical distribution of human Schistosoma japonicum infection in The Philippines: tools to support disease control and further elimination
University of Queensland|University of the Philippines Manila|University of the Philippines Manila|University of Queensland|QIMR Berghofer Medical Research Institute|Australian National University|University of Oklahoma Health Sciences Center|Queensland University of Technology|QIMR Berghofer Medical Research Institute|University of Queensland|University of the Philippines Manila|University of the Philippines Manila|Department of Health|University of Queensland|Providence College|Brown University|University of Queensland|Australian National University
schistosoma japonicum infection believed endemic 28 80 provinces philippines recent data schistosomiasis prevalence shown considerable variability provinces order increase efficient allocation parasitic disease control resources country aimed describe smallscale spatial variation japonicum prevalence across philippines quantify role physical environment driving spatial variation japonicum develop predictive risk map japonicum infection data japonicum infection 35754 individuals across country geolocated barangay level included analysis analysis stratified geographically regions luzon visayas mindanao zeroinflated binomial bayesian geostatistical models japonicum prevalence developed diagnostic uncertainty incorporated results analysis show three regions males individuals aged 20 years significantly higher prevalence japonicum compared females children 5 years role environmental variables differed regions philippines schistosoma japonicum infection widespread visayas whereas much focal luzon mindanao analysis revealed significant spatial variation prevalence japonicum infection philippines suggests spatially targeted approach schistosomiasis interventions including mass drug administration warranted financially possible additional schistosomiasis surveys prioritised areas identified high risk underrepresented dataset