Keyphrases
India
100%
Spatio-temporal Modeling
100%
Socioeconomic Drivers
100%
Urban Malaria
100%
Surat
100%
Climatic Drivers
100%
Humidity
60%
Population Density
60%
Malaria Risk
60%
Poverty
40%
Model Selection
40%
Socioeconomic Factors
40%
Spatial Resolution
40%
Plasmodium Falciparum
40%
Malaria Incidence
40%
High-resolution
20%
Survey Data
20%
Targeted Intervention
20%
Model Resolution
20%
Principal Coordinate Analysis (PCoA)
20%
Modeling Framework
20%
Model Prediction
20%
Spatiotemporal Scales
20%
Random Effects
20%
Mosquito Vectors
20%
Malaria Cases
20%
Socioeconomic Variables
20%
Spatiotemporal Variation
20%
Mosquito-borne Diseases
20%
Dimensionality Reduction
20%
Local Temperature
20%
Climate Change Impacts
20%
Temperature-humidity Index
20%
Disease Dynamics
20%
Discrete Level
20%
Model Improvement
20%
Environmental Covariates
20%
Space-time Dynamics
20%
Aggregation Level
20%
Climate Factors
20%
Absolute Temperature
20%
U.S. National Institutes of Health
20%
Bayesian Hierarchical Model
20%
Mean Absolute Error
20%
Advanced Warning
20%
Main Drivers
20%
Early Warning System
20%
Local Knowledge
20%
Malaria Elimination
20%
Climatic Factors
20%
Urban Landscape
20%
Local Surveillance
20%
Climate-driven
20%
Axes of Variation
20%
North-West India
20%
Socioeconomic Covariates
20%
Socioeconomic Variation
20%
Malaria Patterns
20%
Spatially Explicit Prediction
20%
Hierarchical Mixed Model
20%
Disease Hotspot
20%
Mathematics
Principal Components
100%
Covariate
66%
Incidence Rate
66%
Variance
33%
Spatial Scale
33%
Survey Data
33%
Bayesian
33%
Random Effect
33%
Principal Component Analysis
33%
Spatial Variation
33%
Statistical Modeling
33%
Model Selection
33%
Model Resolution
33%
Disease Dynamic
33%
Discrete Level
33%
Effect Size
33%
Mixed Model
33%
Fitted Model
33%
Absolute Error
33%
Borne Disease
33%
Intermediate Level
33%
Earth and Planetary Sciences
Socioeconomics
100%
India
100%
Population Density
50%
Spatial Resolution
33%
Relative Humidity
33%
Principal Component Analysis
16%
Spatial Variation
16%
Urban Landscape
16%
Biochemistry, Genetics and Molecular Biology
Population Density
100%
Dynamics
66%
Humidity
66%
Principal Component Analysis
33%
Plasmodium falciparum
33%
Economics, Econometrics and Finance
Principal Components
100%
Bayesian
25%