Data-driven mechanistic framework with stratified immunity and effective transmissibility for COVID-19 scenario projections

Data-driven mechanistic framework with stratified immunity and effective transmissibility for COVID-19 scenario projections

Scenario-based modeling frameworks have been widely used to support policy-making at state and federal levels in the United States during the COVID-19 response. While custom-built models can be used to support one-off studies, sustained updates to projections under changing pandemic conditions requi...

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Bibliographic Details
Main Authors: Przemyslaw Porebski, Srinivasan Venkatramanan, Aniruddha Adiga, Brian Klahn, Benjamin Hurt, Mandy L. Wilson, Jiangzhuo Chen, Anil Vullikanti, Madhav Marathe, Bryan Lewis
Format: Article
Language:English
Published: Elsevier 2024-06-01
Series:Epidemics
Subjects:
COVID-19
Scenario projections
Compartmental model
Transmission dynamics
Variant characteristics
Population immunity
Online Access:http://www.sciencedirect.com/science/article/pii/S1755436524000227

Internet

http://www.sciencedirect.com/science/article/pii/S1755436524000227

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