Merge pull request #1113 from fl16180/main

updated MIGHTE metadata 2024-25

Author: Annabella-Hines

model-metadata/MIGHTE-Nsemble.yml

@@ -10,14 +10,14 @@ model_contributors: [
     "email": "[email protected]"
   },
   {
-    "name": "Leonardo Clemente",
+    "name": "Fred Lu",
     "affiliation": "Northeastern University",
-    "email": "[email protected]"
+    "email": "[email protected]"
   },
   {
-    "name": "Fred Lu",
+    "name": "Leonardo Clemente",
     "affiliation": "Northeastern University",
-    "email": "[email protected]"
+    "email": "[email protected]"
   },
   {
     "name": "Mauricio Santillana",
@@ -27,11 +27,11 @@ model_contributors: [
 ]
 website_url: "https://github.com/MIGHTE-lab/"
 license: "CC-BY-4.0"
-citation: "citation"
-team_funding: "funding"
+citation: "Meyer, A. G., Lu, F., Clemente, L., & Santillana, M. (2024). A prospective real-time transfer learning approach to estimate Influenza hospitalizations with limited data. medRxiv, 2024-07."
+team_funding: ""
 designated_model: true
-methods: "Weighted ensemble of SOTA time-series models especially lightGBM"
-data_inputs: "Weekly incident flu hospitalizations, Google Trends"
-methods_long: "Weighted ensemble of SOTA time-series models, including lightGBM with hyperparameters tuned to the previous season, ARIMA, vector auto-regression, and ARGO."
+methods: "Weighted ensemble of time-series models including lightGBM and ARIMA"
+data_inputs: "Weekly incident flu hospitalizations, with imputation for unreported hospitalizations"
+methods_long: "Weighted ensemble of time-series models, including lightGBM with hyperparameters tuned over the previous season, lightGBM validated over the previous season and tuned on the season before, and ARIMA models."
 ensemble_of_models: true
 ensemble_of_hub_models: false