A
|
Wikipedia
|
mechanisticb
|
Yes
|
Susceptible-Exposed-Infected-Recovered (SEIR) model using data assimilation to probabilistically fit models to ILINet data
|
B
|
Twitter
|
mechanistic
|
Yes
|
SEIR model initialized with current Twitter and ILINet data
|
C
|
Google Flu Trends; Twitter
|
statisticalc
|
Yes
|
Utilized method of analogues, Kalman filtering, Poisson regression, and an ensemble method averaging the results of the three models to forecast ILINet
|
D
|
Google Flu Trends
|
statistical
|
Yes
|
Utilized empirical Bayes model and a spatio-temporal likelihood function
|
E
|
Google Flu Trends; Twitter
|
statistical
|
Yes
|
Utilized multiplicative time series model
|
F
|
Google Flu Trends
|
mechanistic
|
Yes
|
Susceptible-infected-recovered-susceptible (SIRS) model initialized with Google Flu Trends data and data assimilation methods
|
G
|
Twitter
|
statistical
|
No
|
Extrapolation of filtered Twitter data
|
H
|
Google Flu Trends; HealthMap; Twitter
|
mechanistic
|
Yes
|
Statistical models used to make short term forecasts and agent based models combined with mean field models with non-linear optimization techniques used to output long term forecasts.
|
I
|
Twitter
|
statistical
|
Yes
|
Utilized time series model and method of analogues
|