Team | Digital Data source | Model type | Regional forecasta | Brief descriptiond |
---|---|---|---|---|
A | Wikipedia | mechanisticb | Yes | Susceptible-Exposed-Infected-Recovered (SEIR) model using data assimilation to probabilistically fit models to ILINet data |
B | 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 | 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 | statistical | Yes | Utilized time series model and method of analogues |