Bayesian geostatistical prediction of the intensity of infection with Schistosoma mansoni in East Africa.
about
A world malaria map: Plasmodium falciparum endemicity in 2007Earth Observation, Spatial Data Quality, and Neglected Tropical DiseasesRisk profiling of schistosomiasis using remote sensing: approaches, challenges and outlookPlasmodium knowlesi transmission: integrating quantitative approaches from epidemiology and ecology to understand malaria as a zoonosisMapping Soil Transmitted Helminths and Schistosomiasis under Uncertainty: A Systematic Review and Critical Appraisal of EvidenceTargeting trachoma control through risk mapping: the example of Southern SudanTrachoma in Western Equatoria State, Southern Sudan: implications for national controlIntegrated mapping of neglected tropical diseases: epidemiological findings and control implications for northern Bahr-el-Ghazal State, Southern SudanMapping helminth co-infection and co-intensity: geostatistical prediction in ghanaG6PD deficiency prevalence and estimates of affected populations in malaria endemic countries: a geostatistical model-based mapGeographical information systems and tropical medicineMapping the probability of schistosomiasis and associated uncertainty, West Africa.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 2004-2006Quantifying aggregated uncertainty in Plasmodium falciparum malaria prevalence and populations at risk via efficient space-time geostatistical joint simulation.Assessing environmental factors associated with regional schistosomiasis prevalence in Anhui Province, Peoples' Republic of China using a geographical detector method.Bayesian geostatistical analysis and prediction of Rhodesian human African trypanosomiasisSpatial co-distribution of neglected tropical diseases in the east African great lakes region: revisiting the justification for integrated controlPredicting the distribution of canine leishmaniasis in western Europe based on environmental variables.Spatial distribution of, and risk factors for, Opisthorchis viverrini infection in southern Lao PDR.Plasmodium vivax malaria endemicity in Indonesia in 2010.Water level flux in household containers in Vietnam--a key determinant of Aedes aegypti population dynamicsThe applications of model-based geostatistics in helminth epidemiology and controlUse of geospatial modeling to predict Schistosoma mansoni prevalence in Nyanza Province, Kenya.Spatio-temporal transmission and environmental determinants of Schistosomiasis Japonica in Anhui Province, ChinaRisk profiling of hookworm infection and intensity in southern Lao People's Democratic Republic using Bayesian modelsProbability Mapping to Determine the Spatial Risk Pattern of Acute Gastroenteritis in Coimbatore District, India, Using Geographic Information Systems (GIS).Spatial epidemiology of human schistosomiasis in Africa: risk models, transmission dynamics and controlSpatial parasite ecology and epidemiology: a review of methods and applications.Global mapping of infectious disease.Spatial pattern of schistosomiasis in Xingzi, Jiangxi Province, China: the effects of environmental factors.Spatial heterogeneity of parasite co-infection: Determinants and geostatistical prediction at regional scalesBayesian spatial analysis of a national urinary schistosomiasis questionnaire to assist geographic targeting of schistosomiasis control in Tanzania, East AfricaRemote sensing, geographical information system and spatial analysis for schistosomiasis epidemiology and ecology in AfricaUse of Bayesian geostatistical prediction to estimate local variations in Schistosoma haematobium infection in western Africa.Bayesian geostatistical modelling for mapping schistosomiasis transmission.Intestinal schistosomiasis in Uganda at high altitude (>1400 m): malacological and epidemiological surveys on Mount Elgon and in Fort Portal crater lakes reveal extra preventive chemotherapy needsA brief review of spatial analysis concepts and tools used for mapping, containment and risk modelling of infectious diseases and other illnesses.Application of GIS technology in public health: successes and challenges.Bayesian geostatistics in health cartography: the perspective of malaria.
P2860
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P2860
Bayesian geostatistical prediction of the intensity of infection with Schistosoma mansoni in East Africa.
description
2006 nî lūn-bûn
@nan
2006年の論文
@ja
2006年論文
@yue
2006年論文
@zh-hant
2006年論文
@zh-hk
2006年論文
@zh-mo
2006年論文
@zh-tw
2006年论文
@wuu
2006年论文
@zh
2006年论文
@zh-cn
name
Bayesian geostatistical predic ...... tosoma mansoni in East Africa.
@ast
Bayesian geostatistical predic ...... tosoma mansoni in East Africa.
@en
type
label
Bayesian geostatistical predic ...... tosoma mansoni in East Africa.
@ast
Bayesian geostatistical predic ...... tosoma mansoni in East Africa.
@en
prefLabel
Bayesian geostatistical predic ...... tosoma mansoni in East Africa.
@ast
Bayesian geostatistical predic ...... tosoma mansoni in East Africa.
@en
P2860
P1433
P1476
Bayesian geostatistical predic ...... tosoma mansoni in East Africa.
@en
P2093
A C A Clements
P2860
P304
P356
10.1017/S0031182006001181
P5008
P577
2006-09-06T00:00:00Z