| Literature DB >> 25128879 |
Ricardo J Soares Magalhães1, Maria Sonia Salamat2, Lydia Leonardo2, Darren J Gray3, Hélène Carabin4, Kate Halton5, Donald P McManus6, Gail M Williams7, Pilarita Rivera2, Ofelia Saniel2, Leda Hernandez8, Laith Yakob7, Stephen McGarvey9, Archie Clements10.
Abstract
Schistosoma japonicum infection is believed to be endemic in 28 of the 80 provinces of The Philippines and the most recent data on schistosomiasis prevalence have shown considerable variability between provinces. In order to increase the efficient allocation of parasitic disease control resources in the country, we aimed to describe the small-scale spatial variation in S. japonicum prevalence across The Philippines, quantify the role of the physical environment in driving the spatial variation of S. japonicum, and develop a predictive risk map of S. japonicum infection. Data on S. japonicum infection from 35,754 individuals across the country were geo-located at the barangay level and included in the analysis. The analysis was then stratified geographically for the regions of Luzon, the Visayas and Mindanao. Zero-inflated binomial Bayesian geostatistical models of S. japonicum prevalence were developed and diagnostic uncertainty was incorporated. Results of the analysis show that in the three regions, males and individuals aged ⩾20years had significantly higher prevalence of S. japonicum compared with females and children <5years. The role of the environmental variables differed between regions of The Philippines. Schistosoma japonicum infection was widespread in the Visayas whereas it was much more focal in Luzon and Mindanao. This analysis revealed significant spatial variation in the prevalence of S. japonicum infection in The Philippines. This suggests that a spatially targeted approach to schistosomiasis interventions, including mass drug administration, is warranted. When financially possible, additional schistosomiasis surveys should be prioritised for areas identified to be at high risk but which were under-represented in our dataset.Entities:
Keywords: Disease control; Disease elimination; Philippines; Risk mapping; Schistosoma japonicum
Mesh:
Year: 2014 PMID: 25128879 PMCID: PMC4407142 DOI: 10.1016/j.ijpara.2014.06.010
Source DB: PubMed Journal: Int J Parasitol ISSN: 0020-7519 Impact factor: 3.981