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Next-generation high-resolution vector-borne disease risk assessment
Meysam Ghaffari
, Ashok Srinivasan
, Anuj Mubayi
, Xiuwen Liu
, Krishnan Viswanathan
Human Evolution and Social Change, School of (SHESC)
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
5
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Scopus citations
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Keyphrases
High-resolution
100%
Disease Risk Prediction
100%
Vector-borne Disease Risk
100%
Vector-borne Diseases
100%
Machine Learning Techniques
50%
Machine Learning
50%
High Spatial Resolution
50%
Florida
50%
Granularity
50%
Social Media
50%
Public Health
50%
Multiple Spatial Scales
50%
Spatial Data
50%
Fine Spatial Resolution
50%
Social Media Data
50%
Risk Estimation
50%
Spatial Resolution
50%
Time-varying Data
50%
Demographic Information
50%
Targeted Intervention
50%
Public Health Interventions
50%
Twitter Data
50%
Cause of Disease
50%
Epidemic Risk
50%
Zika Outbreak
50%
Demographic Heterogeneity
50%
Disease Importation
50%
Epidemic Risk Assessment
50%
Effective Interventions
50%
Risk Assessment Model
50%
Computer Science
Spatial Resolution
100%
Granularity
33%
Social Medium Data
33%
Machine Learning Technique
33%
Demographic Information
33%
Conventional Model
33%
Spatial Information
33%
Assessment Model
33%
Machine Learning
33%
Learning System
33%
Social Media
33%
Real Time Data
33%
Medicine and Dentistry
Vector Borne Disease
100%
Public Health
66%
Social Media
66%
Risk Evaluation
33%
Diseases
33%