A case for ongoing structural support to maximise infectious disease modelling efficiency for future public health emergencies: A modelling perspective-Reference-Cited by-同舟云学术

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A case for ongoing structural support to maximise infectious disease modelling efficiency for future public health emergencies: A modelling perspective

Published:2024-03 Issue: Volume:46 Page:100734
ISSN:1755-4365
Container-title:Epidemics
language:en
Short-container-title:Epidemics

Author:

Le Rutte Epke A.,Shattock Andrew J.,Zhao Cheng,Jagadesh Soushieta,Balać Miloš,Müller Sebastian A.,Nagel Kai,Erath Alexander L.,Axhausen Kay W.,Van Boeckel Thomas P.,Penny Melissa A.

Publisher

Elsevier BV

Subject

Virology,Infectious Diseases,Public Health, Environmental and Occupational Health,Microbiology,Parasitology,Epidemiology

Reference15 articles.

1. Modelling that shaped the early COVID-19 pandemic response in the UK;Brooks-Pollock;Philos. Trans. R. Soc. B: Biol. Sci.,2021

2. A hybrid Neural Network-SEIR model for forecasting intensive care occupancy in Switzerland during COVID-19 epidemics;Delli Compagni;PLoS One,2022

3. Modeling infectious disease dynamics in the complex landscape of global health;Heesterbeek;Science,2015

4. Modelling the impact of Omicron and emerging variants on SARS-CoV-2 transmission and public health burden;Le Rutte;Commun. Med.,2022

5. Intensity and frequency of extreme novel epidemics;Marani;Proc. Natl. Acad. Sci.,2021

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