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Modelling age-heterogeneous Schistosoma haematobium and S. mansoni survey data via alignment factors

Schur, N. and Utzinger, J. and Vounatsou, P.. (2011) Modelling age-heterogeneous Schistosoma haematobium and S. mansoni survey data via alignment factors. Parasites and Vectors, 4 (142).

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Official URL: http://edoc.unibas.ch/dok/A6002273

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Abstract

BACKGROUND: Reliable maps of the geographical distribution, number of infected individuals and burden estimates of schistosomiasis are essential tools to plan, monitor and evaluate control programmes. Large-scale disease mapping and prediction efforts rely on compiled historical survey data obtained from the peer-reviewed literature and unpublished reports. Schistosomiasis surveys usually focus on school-aged children, whereas some surveys include entire communities. However, data are often reported for non-standard age groups or entire study populations. Existing geostatistical models ignore either the age-dependence of the disease risk or omit surveys considered too heterogeneous.
METHODS: We developed Bayesian geostatistical models and analysed existing schistosomiasis prevalence data by estimating alignment factors to relate surveys on individuals aged 20 years and entire communities. Schistosomiasis prevalence data for 11 countries in the eastern African region were extracted from an open-access global database pertaining to neglected tropical diseases. We assumed that alignment factors were constant for the whole region or a specific country. RESULTS: Regional alignment factors indicated that the risk of a Schistosoma haematobium infection in individuals aged <20 years and in entire communities is smaller than in individuals >=20 years, 0.83 and 0.91, respectively. Country-specific alignment factors varied from 0.79 (Ethiopia) to 1.06 (Zambia) for community-based surveys. For S. mansoni, the regional alignment factor for entire communities was 0.96 with country-specific factors ranging from 0.84 (Burundi) to 1.13 (Uganda).
CONCLUSIONS: The proposed approach could be used to align inherent age-heterogeneity between school-based and community-based schistosomiasis surveys to render compiled data for risk mapping and prediction more accurate.
Faculties and Departments:09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) > Department of Epidemiology and Public Health (EPH) > Infectious Disease Modelling > Infectious Disease Modelling (Smith)
09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) > Department of Epidemiology and Public Health (EPH) > Eco System Health Sciences > Health Impact Assessment (Utzinger)
UniBasel Contributors:Vounatsou, Penelope and Utzinger, Jürg
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:BioMed Central
ISSN:1756-3305
Note:Publication type according to Uni Basel Research Database: Journal article
Language:English
Identification Number:
Last Modified:16 Nov 2016 15:07
Deposited On:08 Nov 2012 16:20

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