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@@ -10,9 +10,9 @@ model_contributors: [ | |
}, | ||
{ | ||
"name": "Matteo Chinazzi", | ||
"affiliation": "The Roux Institute, Northeastern University, Portland (ME)", | ||
"affiliation": "The Roux Institute, Northeastern University, Portland (ME); Network Science Institute, Northeastern University", | ||
"email": "[email protected]" | ||
}, | ||
},, | ||
{ | ||
"name": "Jessica T. Davis", | ||
"affiliation": "Network Science Institute, Northeastern University", | ||
|
@@ -23,9 +23,9 @@ model_contributors: [ | |
"affiliation": "Network Science Institute, Northeastern University", | ||
"email": "[email protected]" | ||
}, | ||
{ | ||
{ | ||
"name": "Guillaume St-Onge", | ||
"affiliation": "Network Science Institute, Northeastern University", | ||
"affiliation": "The Roux Institute, Northeastern University, Portland (ME); Network Science Institute, Northeastern University", | ||
"email": "[email protected]" | ||
}, | ||
] | ||
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@@ -34,6 +34,6 @@ methods: "Metapopulation, age structured compartmental model." | |
methods_long: "The GLEAM framework is based on a metapopulation approach in which the US is divided into geographical subpopulations. Human mobility between subpopulations is represented on a network. This mobility data layer identifies the numbers of individuals traveling from one sub-population to another. The mobility network is made up of different kinds of mobility processes from short-range commuting between nearby subpopulations to flights. To model short-range mobility such as commuting or car travel, we rely on databases collected from the Offices of Statistics of 30 countries on five continents. Superimposed on the US population and mobility layers is an compartmental epidemic model that defines the infection and population dynamics. " | ||
model_version: "1.0" | ||
website_url: "https://www.mobs-lab.org/" | ||
team_funding: "Cooperative Agreement no. NU38OT000297 from the Council of State and Territorial Epidemiologists (CSTE)" | ||
team_funding: "Cooperative Agreement no. NU38OT000297 from the Council of State and Territorial Epidemiologists (CSTE), Cooperative Agreement CDC-RFA-FT-23-0069 from the CDC’s Center for Forecasting and Outbreak Analytics" | ||
data_inputs: "RSV-Net Data taken from this repository" | ||
citation: "https://uploads-ssl.webflow.com/58e6558acc00ee8e4536c1f5/5e8bab44f5baae4c1c2a75d2_GLEAM_web.pdf" |