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Mapping malaria risk in Bangladesh using Bayesian geostatistical models
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Dive into the research topics of 'Mapping malaria risk in Bangladesh using Bayesian geostatistical models'. Together they form a unique fingerprint.
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Keyphrases
Plasmodium Falciparum
100%
Bangladesh
100%
Bayesian Geostatistics
100%
Mapping Malaria Risk
100%
10-year-old children
80%
Risk Map
60%
Geographic Information System
40%
Malaria Risk
40%
Malaria Transmission
40%
Malaria Control
40%
Model-based Geostatistics
40%
Logistic Regression Model
20%
Number of Individuals
20%
Predictive Ability
20%
Environmental Variables
20%
Malaria Incidence
20%
Malaria
20%
Environmental Covariates
20%
Endemic Region
20%
Minimum Temperature
20%
Control Body
20%
Gridded Population Data
20%
Geostatistics
20%
Heterogeneous Distribution
20%
Information Model
20%
Model Validation
20%
Prevalence Survey
20%
Vegetation Cover
20%
Biochemistry, Genetics and Molecular Biology
Prevalence
100%
Malaria Control
40%
Geographic Information System
40%
Plasmodium falciparum
20%
Pharmacology, Toxicology and Pharmaceutical Science
Prevalence
100%
Malaria
40%
Plasmodium falciparum
20%
Endemic Disease
20%