An ensemble n-sub-epidemic modeling framework for short-term forecasting epidemic trajectories: Application to the COVID-19 pandemic in the USA.
We analyze an ensemble of n-sub-epidemic modeling for forecasting the trajectory of epidemics and pandemics. These ensemble modeling approaches, and models that integrate sub-epidemics to capture complex temporal dynamics, have demonstrated powerful forecasting capability. This modeling framework ca...
Main Authors: | Gerardo Chowell, Sushma Dahal, Amna Tariq, Kimberlyn Roosa, James M Hyman, Ruiyan Luo |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2022-10-01
|
Series: | PLoS Computational Biology |
Online Access: | https://doi.org/10.1371/journal.pcbi.1010602 |
Similar Items
-
SubEpiPredict: A tutorial-based primer and toolbox for fitting and forecasting growth trajectories using the ensemble n-sub-epidemic modeling framework
by: Gerardo Chowell, et al.
Published: (2024-06-01) -
A novel sub-epidemic modeling framework for short-term forecasting epidemic waves
by: Gerardo Chowell, et al.
Published: (2019-08-01) -
GrowthPredict: A toolbox and tutorial-based primer for fitting and forecasting growth trajectories using phenomenological growth models
by: Gerardo Chowell, et al.
Published: (2024-01-01) -
Real-time forecasting of epidemic trajectories using computational dynamic ensembles
by: G. Chowell, et al.
Published: (2020-03-01) -
Ensemble bootstrap methodology for forecasting dynamic growth processes using differential equations: application to epidemic outbreaks
by: Gerardo Chowell, et al.
Published: (2021-02-01)