Comparative study of physics-based model and machine learning model for epidemic forecasting and countermeasure

Author:

Tao Yiwen,Zhu Huaiping,Ren JingliORCID

Funder

National Natural Science Foundation of China

Postdoctoral Research Foundation of China

Natural Sciences and Engineering Research Council of Canada

Publisher

Springer Science and Business Media LLC

Reference21 articles.

1. Aguiar M, Van-Dierdonck JB, Mar J, Stollenwerk N (2022) The role of mild and asymptomatic infections on COVID-19 vaccines performance: a modeling study. J Adv Res 39:157–166

2. Canada to allow family of citizens across U.S. border amid COVID-19 shutdown. https://globalnews.ca/news/472 7039072/coronavirus-canada-us-border-exception. Accessed 28 Mar 2024

3. Chen S, Yu J (2016) Stability analysis of a reaction-diffusion equation with spatiotemporal delay and Dirichlet boundary condition. J Dyn Differ Equ 28(3):857–866

4. Clement JC, Ponnusamy V, Sriharipriya K, Nandakumar R (2021) A survey on mathematical, machine learning and deep learning models for COVID-19 transmission and diagnosis. IEEE Rev Biomed Eng 15:325–340

5. David J, Bragazzi NL, Scarabel F, McCarthy Z, Wu J (2022) Non-pharmaceutical intervention levels to reduce the COVID-19 attack ratio among children. R Soc Open Sci 9(3):211863

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