title: The epidemiology and small-scale spatial heterogeneity of urinary schistosomiasis in Lusaka province, Zambia.
abstract: In line with the aims of the "National Bilharzia Control Programme" and the "School Health and Nutrition Programme" in Zambia, a study on urinary schistosomiasis was conducted in 20 primary schools of Lusaka province to further our understanding of the epidemiology of the infection, and to enhance spatial targeting of control. We investigated risk factors associated with urinary schistosomiasis, and examined small-scale spatial heterogeneity in prevalence, using data collected from 1,912 schoolchildren, 6 to 15-year-old, recruited from 20 schools in Kafue and Luangwa districts. The risk factors identified included geographical location, altitude, normalized difference vegetation index (NDVI), maximum temperature, age, sex of the child and intermediate host snail abundance. Three logistic regression models were fitted assuming different random effects to allow for spatial structuring. The mean prevalence rate was 9.6%, with significance difference between young and older children (odds ratio (OR) = 0.71; 95% confidence interval (CI) = 0.51-0.96). The risk of infection was related to intermediate host snail abundance (OR = 1.03; 95% CI = 1.00-1.05) and vegetation cover (OR = 1.04; 95% CI = 1.00-1.07). Schools located either on the plateau and the valley also differed in prevalence and intensity of infection for moderate infection to none (OR = 1.64; 95% CI = 1.36- 1.96). The overall predictive performance of the spatial random effects model was higher than the ordinary logistic regression. In addition, evidence of heterogeneity of the infection risk was found at the micro-geographical level. A sound understanding of small-scale heterogeneity, caused by spatial aggregation of schoolchildren, is important to inform health planners for implementing control schistosomiasis interventions.
authors.affiliation: Ministry of Health, P.O. Box 30205, Lusaka, Zambia. simoongachris@yahoo.com
authors.forename: Christopher
authors.initials: C
authors.lastname: Simoonga
authors.forename: Lawrence N
authors.initials: LN
authors.lastname: Kazembe
authors.forename: T K
authors.initials: TK
authors.lastname: Kristensen
authors.forename: Annette
authors.initials: A
authors.lastname: Olsen
authors.forename: Christopher C
authors.initials: CC
authors.lastname: Appleton
authors.forename: Patricia
authors.initials: P
authors.lastname: Mubita
authors.forename: Likezo
authors.initials: L
authors.lastname: Mubila
mesh_terms: D000293:Adolescent; D000818:Animals; D002648:Child; D003430:Cross-Sectional Studies; D003710:Demography; D004199:Disease Vectors; D004463:Ecology; D005260:Female; D040362:Geographic Information Systems; D006801:Humans; D016015:Logistic Models; D008297:Male; D010270:Parasite Egg Count; D015995:Prevalence; D012307:Risk Factors; D012548:Schistosoma haematobium / Q000302:isolation & purification* / Q000469:parasitology; D012550:Schistosoma mansoni / Q000302:isolation & purification* / Q000469:parasitology; D012553:Schistosomiasis haematobia / Q000453:epidemiology* / Q000469:parasitology / Q000517:prevention & control; D012574:Schools; D012908:Snails / Q000469:parasitology; D012959:Socioeconomic Factors; D014867:Water / Q000469:parasitology; D015024:Zambia / Q000453:epidemiology
chemical_list: D014867:Water