An adaptive research approach to COVID-19 forecasting for regional health systems in England
Year of publication: |
2024
|
---|---|
Authors: | Betcheva, Lidia ; Erhun, Feryal ; Feylessoufi, Antoine ; Fryers, Peter ; Gonçalves, Paulo ; Jiang, Houyuan ; Kattuman, Paul A. ; Pape, Tom ; Pari, Anees ; Scholtes, Stefan ; Tyrrell, Carina |
Published in: |
INFORMS journal on applied analytics. - Catonsville, Md. : INFORMS, ISSN 2644-0873, ZDB-ID 2962133-1. - Vol. 54.2024, 6, p. 500-516
|
Subject: | bed capacity | COVID-19 | forecasting | scenario analysis | system dynamics | time series modeling | Coronavirus | Prognoseverfahren | Forecasting model | Gesundheitswesen | Health care system | Zeitreihenanalyse | Time series analysis | Szenariotechnik | Scenario analysis | Epidemie | Epidemic |
-
From data to action : empowering COVID-19 monitoring and forecasting with intelligent algorithms
Charles, Vincent, (2024)
-
Nowcasting with large Bayesian vector autoregressions
Cimadomo, Jacopo, (2020)
-
Time series analysis using different forecast methods and case fatality rate for Covid-19 pandemic
Bhattacharjee, Atanu, (2023)
- More ...
-
Rapid COVID-19 Modeling Support for Regional Health Systems in England
Betcheva, Lidia, (2020)
-
Supply chain thinking in healthcare : lessons and outlooks
Betcheva, Lidia, (2021)
-
Betcheva, Lidia, (2020)
- More ...