Bayesian spatial analysis and disease mapping: tools to enhance planning and implementation of a schistosomiasis control programme in Tanzania. - Wikidata - wikimedia - TriplyDB

Bayesian spatial analysis and disease mapping: tools to enhance planning and implementation of a schistosomiasis control programme in Tanzania.

Bayesian spatial analysis and disease mapping: tools to enhance planning and implementation of a schistosomiasis control programme in Tanzania.

http://www.wikidata.org/entity/Q36387319

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A world malaria map: Plasmodium falciparum endemicity in 2007 Global epidemiology, ecology and control of soil-transmitted helminth infections.Earth Observation, Spatial Data Quality, and Neglected Tropical Diseases Risk profiling of schistosomiasis using remote sensing: approaches, challenges and outlook The landscape epidemiology of echinococcoses Mapping Soil Transmitted Helminths and Schistosomiasis under Uncertainty: A Systematic Review and Critical Appraisal of Evidence Targeting trachoma control through risk mapping: the example of Southern Sudan Trachoma in Western Equatoria State, Southern Sudan: implications for national control Integrated mapping of neglected tropical diseases: epidemiological findings and control implications for northern Bahr-el-Ghazal State, Southern Sudan Spatial modelling of soil-transmitted helminth infections in Kenya: a disease control planning tool Utility of repeated praziquantel dosing in the treatment of schistosomiasis in high-risk communities in Africa: a systematic review Mapping helminth co-infection and co-intensity: geostatistical prediction in ghana Spatial distribution of podoconiosis in relation to environmental factors in Ethiopia: a historical review The risks of malaria infection in Kenya in 2009 An updated atlas of human helminth infections: the example of East Africa BUILDING NEW KNOWLEDGE Implications of Changing Temperatures on the Growth, Fecundity and Survival of Intermediate Host Snails of Schistosomiasis: A Systematic Review.Geographical information systems and tropical medicine Role of remote sensing, geographical information system (GIS) and bioinformatics in kala-azar epidemiology.Mapping the probability of schistosomiasis and associated uncertainty, West Africa.Intestinal schistosomiasis and geohelminths of Ukara Island, North-Western Tanzania: prevalence, intensity of infection and associated risk factors among school children Identifying and targeting mortality disparities: a framework for sub-saharan Africa using adult mortality data from South Africa.Information for decision making from imperfect national data: tracking major changes in health care use in Kenya using geostatistics Bayesian spatio-temporal modeling of Schistosoma japonicum prevalence data in the absence of a diagnostic 'gold' standard.A comparative study of the spatial distribution of schistosomiasis in Mali in 1984-1989 and 2004-2006 Bayesian mapping of pulmonary tuberculosis in Antananarivo, Madagascar.Spatial analysis of factors associated with HIV infection among young people in Uganda, 2011 Optimising cluster survey design for planning schistosomiasis preventive chemotherapy Bayesian geostatistical analysis and prediction of Rhodesian human African trypanosomiasis Mapping malaria incidence distribution that accounts for environmental factors in Maputo Province--Mozambique Oesophageal varices, schistosomiasis, and mortality among patients admitted with haematemesis in Mwanza, Tanzania: a prospective cohort study Predictive spatial risk model of poliovirus to aid prioritization and hasten eradication in Nigeria.Spatial co-distribution of neglected tropical diseases in the east African great lakes region: revisiting the justification for integrated control Optimal survey designs for targeting chemotherapy against soil-transmitted helminths: effect of spatial heterogeneity and cost-efficiency of sampling.Spatial prediction of malaria prevalence in an endemic area of Bangladesh Plasmodium falciparum malaria endemicity in Indonesia in 2010.Integrated monitoring and evaluation and environmental risk factors for urogenital schistosomiasis and active trachoma in Burkina Faso before preventative chemotherapy using sentinel sites.Bayesian classification and regression trees for predicting incidence of cryptosporidiosis.Bayesian spatiotemporal analysis of socio-ecologic drivers of Ross River virus transmission in Queensland, Australia.Spatial distribution of, and risk factors for, Opisthorchis viverrini infection in southern Lao PDR.

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Bayesian spatial analysis and disease mapping: tools to enhance planning and implementation of a schistosomiasis control programme in Tanzania.

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J.1365-3156.2006.01594.X

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Tropical Medicine and International Health

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Bayesian spatial analysis and ...... control programme in Tanzania.

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Archie C A Clements

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Godfrey Kaatano

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Joanne P Webster

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Lynsey Blair

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Nicholas J S Lwambo

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Safari Kinung'hi

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Simon Brooker

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Ursuline Nyandindi

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P2860

Towards evidence-based, GIS-driven national spatial health information infrastructure and surveillance services in the United Kingdom.

Predicting malaria infection in Gambian children from satellite data and bed net use surveys: the importance of spatial correlation in the interpretation of results.

Predicting the distribution of urinary schistosomiasis in Tanzania using satellite sensor data

Satellite climatology and the environmental risk of Schistosoma mansoni in Ethiopia and east Africa.

Satellites, space, time and the African trypanosomiases.

Earth observation, geographic information systems and Plasmodium falciparum malaria in sub-Saharan Africa.

The potential of geographical information systems and remote sensing in the epidemiology and control of human helminth infections.

Satellite imagery in the study and forecast of malaria.

Questionnaires for rapid screening of schistosomiasis in sub-Saharan Africa.

Schistosomes, snails and satellites.

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490-503

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Archie Clements

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schistosomiasis

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