From cab6c0a8e594ae12aa0e0e2393a0931b30b43068 Mon Sep 17 00:00:00 2001 From: Katie House Date: Wed, 29 May 2019 16:37:59 -0400 Subject: [PATCH] Update metadata formatting --- model-forecasts/component-models/FluOutlook_Mech/metadata.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/model-forecasts/component-models/FluOutlook_Mech/metadata.txt b/model-forecasts/component-models/FluOutlook_Mech/metadata.txt index 2f5ee721..48c6c2a2 100644 --- a/model-forecasts/component-models/FluOutlook_Mech/metadata.txt +++ b/model-forecasts/component-models/FluOutlook_Mech/metadata.txt @@ -10,4 +10,4 @@ data_source4: Twitter data_source5: Population this_model_is_an_ensemble: TRUE methods: >- -This forecasting method is a fully mechanistic model based on GLEAM, an epidemic stochastic generative model. At the begining of the flu season, GLEAM seeded by four different data sources (Athena, FluNearYou, Twitter, Population) generates four different forecasts for the flu profile. At each week along the flu season, the weekly ILI Net data is utilized in GLEAM to provide adaptive weekly forecast. The four weekly forecasts are combined by Bayesian Model Averaging to form the final forecast. + This forecasting method is a fully mechanistic model based on GLEAM, an epidemic stochastic generative model. At the begining of the flu season, GLEAM seeded by four different data sources (Athena, FluNearYou, Twitter, Population) generates four different forecasts for the flu profile. At each week along the flu season, the weekly ILI Net data is utilized in GLEAM to provide adaptive weekly forecast. The four weekly forecasts are combined by Bayesian Model Averaging to form the final forecast.