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Quantifying Error Growth to Improve Infectious Disease Forecast Accuracy
Shaman, Jeffrey
(PI)
Mailman School of Public Health
Project
:
Research project
Overview
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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Mathematics
Forecasting Model
100%
Vector Analysis
66%
Singular Vector
66%
Perturbation Theory
66%
Probabilistic Prediction
33%
Dynamic Modeling
33%
Model Structure
33%
Inferential Statistics
33%
Network Model
33%
Metapopulation
33%
Medicine and Dentistry
Infection
100%
Diseases
83%
Severe Acute Respiratory Syndrome Coronavirus 2
50%
Seasonal Influenza
16%
Anticipation
16%
Dengue Fever
16%
Disease Surveillance
16%
Dynamic Modeling
16%
Nursing and Health Professions
Infection
100%
Diseases
83%
Severe Acute Respiratory Syndrome
50%
Dengue
16%
Disease Surveillance
16%
Seasonal Influenza
16%
Hospital
16%
Health Care Delivery
16%