Predicting the Number of Reported and Unreported Cases for the COVID-19 Epidemic in South Korea, Italy, France and Germany-Reference-Cited by-同舟云学术

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Predicting the Number of Reported and Unreported Cases for the COVID-19 Epidemic in South Korea, Italy, France and Germany

Published:2020 Issue: Volume: Page:
ISSN:1556-5068
Container-title:SSRN Electronic Journal
language:en
Short-container-title:SSRN Journal

Author:

Magal Pierre,Webb Glenn

Publisher

Elsevier BV

Cited by 12 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. Analysis of Worldwide Time-Series Data Reveals Some Universal Patterns of Evolution of the SARS-CoV-2 Pandemic;Frontiers in Physics;2022-06-29

2. Machine Learning for Analyzing Non-Countermeasure Factors Affecting Early Spread of COVID-19;International Journal of Environmental Research and Public Health;2021-06-23

3. Deep learning based prediction of COVID-19 virus using chest X-Ray;Journal of Interdisciplinary Mathematics;2021-01-02

4. Nonparametric Tests for Comparing COVID-19 Machine Learning Forecasting Models;Artificial Intelligence for COVID-19;2021

5. Epidemiological Forecasting with Model Reduction of Compartmental Models. Application to the COVID-19 Pandemic;Biology;2020-12-31

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