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Forecasting influenza activity using machine-learned mobility map
Srinivasan Venkatramanan
, Adam Sadilek
, Arindam Fadikar
, Christopher L. Barrett
, Matthew Biggerstaff
, Jiangzhuo Chen
, Xerxes Dotiwalla
, Paul Eastham
, Bryant Gipson
, Dave Higdon
, Onur Kucuktunc
, Allison Lieber
, Bryan L. Lewis
, Zane Reynolds
, Anil K. Vullikanti
,
Lijing Wang
, Madhav Marathe
Research output
:
Contribution to journal
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Article
›
peer-review
58
Scopus citations
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Keyphrases
Human Mobility
100%
Radiation Model
100%
Mobility Map
100%
Influenza Activity
100%
Smartphone
50%
Existing Data
50%
Granularity
50%
Australia
50%
Model Performance
50%
Commuters
50%
Metapopulation Model
50%
Anonymized
50%
Gravity Model
50%
Mobility Data
50%
Disease Spread
50%
State Boundary
50%
Disease Dynamics
50%
Data-driven Forecast
50%
Commuter Flows
50%
Infectious Disease Epidemiology
50%
Infection Spread
50%
Infectious Disease Forecasting
50%
Influenza
50%
Private Person
50%
Health Officials
50%
Medicine and Dentistry
Disease
100%
Infection
100%
Decision Making
50%
Epidemic
50%
Infectious Disease Epidemiology
50%