A cross-sectional study of the prevalence of intensity of infection with Schistosoma japonicumin 50 irrigated and rain-fed villages in Samar Province, the Philippines

Bibliographic Data

ID15360552
AuthorsMushfiqur R Tarafder (University of Oklahoma Health Sciences Center, corresponding author), Ernesto Balolong (Research Institute for Tropical Medicine), Hélène Carabin (0000-0002-2822-4730, University of Oklahoma Health Sciences Center), Patrick Belisle (0000-0002-9215-6402, Montreal General Hospital), Veronica Tallo (0000-0001-8389-8722, Research Institute for Tropical Medicine), Lawrence Joseph (0000-0003-0779-9882, McGill University), Portia Alday (0000-0001-9360-8477, Research Institute for Tropical Medicine), Ryan Gonzales (Research Institute for Tropical Medicine), Ryan O'Neil Gonzales, Steven Riley (0000-0001-7904-4804, University of Hong Kong), Remigio M Olveda (Research Institute for Tropical Medicine), Remigio Olveda, Stephen T Mcgarvey (0000-0003-1233-6970, Brown University)
Year2006
Volume6
Issue1
Pages61-61
Publication date2006-03-09
Open AccessYes
TypeARTICLE
VenueBMC Public Health (JOURNAL)
Journal identifiersISSN: 1471-2458 • E-ISSN: 1471-2458
PublisherBioMed Central (PUBLISHER • GB)
DOI10.1186/1471-2458-6-61
PMID16526960
PMCIDPMC1421391
OpenAlexW2152666514
LanguageEN
Citations received1
References cited29

We found very important village-to-village variation in prevalence of infection intensity. This variation is probably due to village-level variables other than that explained by a crude classification of villages into the irrigated and non-irrigated categories. We are planning to capture this spatial heterogeneity by updating our initial transmission dynamics model with the data reported here combined with 1-year post-treatment follow-up of study participants

Biostatistics · Confidence interval · Cross-sectional study · Logistic regression · Odds ratio · Veterinary medicine · Child Nutrition and Water Access · Demography · Global Maternal and Child Health · Medicine · Parasites and Host Interactions · Epidemiology · Internal Medicine

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