The race to understand immunopathology in COVID-19: Perspectives on the impact of quantitative approaches to understand within-host interactions-Reference-Cited by-同舟云学术

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The race to understand immunopathology in COVID-19: Perspectives on the impact of quantitative approaches to understand within-host interactions

Published:2023-03 Issue: Volume:9 Page:100021
ISSN:2667-1190
Container-title:ImmunoInformatics
language:en
Short-container-title:ImmunoInformatics

Author:

Gazeau Sonia,Deng Xiaoyan,Ooi Hsu Kiang,Mostefai Fatima,Hussin Julie,Heffernan Jane,Jenner Adrianne L.,Craig Morgan^ORCID

Publisher

Elsevier BV

Reference190 articles.

1. Epidemiological models and COVID-19: a comparative view;Iranzo;Hist Philos Life Sci,2021

2. Modeling the COVID-19 pandemic: a primer and overview of mathematical epidemiology;Saldaña;SeMA J,2022

3. A review of mathematical models of influenza A infections within a host or cell culture: lessons learned and challenges ahead;Beauchemin;BMC Public Health,2011

4. Mathematical model reveals the role of memory CD8 T cell populations in recall responses to influenza;Zarnitsyna;Front Immunol,2016

5. Dynamically linking influenza virus infection kinetics, lung injury, inflammation, and disease severity;Myers;Elife,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine and deep learning methods for clinical outcome prediction based on physiological data of COVID-19 patients: a scoping review;International Journal of Medical Informatics;2024-02

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