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Characterising information gains and losses when collecting multiple epidemic model outputs

  • Published:2024-06 Issue: Volume:47 Page:100765
  • ISSN:1755-4365
  • Container-title:Epidemics
  • language:en
  • Short-container-title:Epidemics

Author:

Sherratt Katharine,Srivastava Ajitesh,Ainslie Kylie,Singh David E.,Cublier Aymar,Marinescu Maria Cristina,Carretero Jesus,Garcia Alberto Cascajo,Franco Nicolas,Willem Lander,Abrams Steven,Faes Christel,Beutels Philippe,Hens Niel,Müller Sebastian,Charlton Billy,Ewert Ricardo,Paltra Sydney,Rakow Christian,Rehmann Jakob,Conrad Tim,Schütte Christof,Nagel Kai,Abbott Sam,Grah Rok,Niehus Rene,Prasse Bastian,Sandmann Frank,Funk Sebastian

Funder

Horizon 2020

European Commission

UC3M

BMBF Berlin

Netherlands Ministry of Health Welfare and Sport

National Science Foundation

ECDC

Wellcome Trust

Publisher

Elsevier BV

Reference32 articles.

1. Pedro J. Aphalo, ggpmisc: Miscellaneous Extensions to “ggplot2”. 2023. [Online]. Available: 〈https://docs.r4photobiology.info/ggpmisc/〉.

2. Modeling of future COVID-19 cases, hospitalizations, and deaths, by vaccination rates and nonpharmaceutical intervention scenarios — United States, April–September 2021;Borchering;MMWR Morb. Mortal. Wkly. Rep.,2021

3. Scoring epidemiological forecasts on transformed scales;Bosse;PLoS Comput. Biol.,2023

4. Evaluating epidemic forecasts in an interval format;Bracher;PLoS Comput. Biol.,2021

5. A pre-registered short-term forecasting study of COVID-19 in Germany and Poland during the second wave;Bracher;Nat. Commun.,2021

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