Statistical methodological issues in mapping historical schistosomiasis survey data
Authors:
- Frédérique ChammartinFCFrédérique Chammartin
- Eveline HürlimannEHEveline Hürlimann
- Giovanna RasoGRGiovanna Raso
- Eliézer K. N’gOranENEliézer K. N’gOran
- Jürg UtzingerJUJürg Utzinger
- Penelope VounatsouPVPenelope Vounatsou
- 1 November 2013
- journal article
- research article
- Published by Elsevier in Acta Tropica
- Vol. 128 (2) , 345-352
Abstract
No abstract availableKeywords
This publication has 58 references indexed in Scilit:
- Spatial parasite ecology and epidemiology: a review of methods and applicationsParasitology, 2012
- The Applications of Model-Based Geostatistics in Helminth Epidemiology and Control2011
- Geographical patterns and predictors of malaria risk in Zambia: Bayesian geostatistical modelling of the 2006 Zambia national malaria indicator survey (ZMIS)Malaria Journal, 2010
- Rapid mapping of schistosomiasis and other neglected tropical diseases in the context of integrated control programmes in AfricaParasitology, 2009
- Gaussian Predictive Process Models for Large Spatial Data SetsJournal of the Royal Statistical Society Series B: Statistical Methodology, 2008
- A Bayesian approach to estimate the age-specific prevalence of Schistosoma mansoni and implications for schistosomiasis controlInternational Journal for Parasitology, 2007
- Developing a spatial-statistical model and map of historical malaria prevalence in Botswana using a staged variable selection procedureInternational Journal of Health Geographics, 2007
- Spatial epidemiology of human schistosomiasis in Africa: risk models, transmission dynamics and controlTransactions of the Royal Society of Tropical Medicine and Hygiene, 2007
- Schistosomiasis and water resources development: systematic review, meta-analysis, and estimates of people at riskThe Lancet Infectious Diseases, 2006
- Bayesian Measures of Model Complexity and FitJournal of the Royal Statistical Society Series B: Statistical Methodology, 2002