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A data-driven network model for the emerging COVID-19 epidemics in Wuhan, Toronto and Italy
The ongoing Coronavirus Disease 2019 (COVID-19) pandemic threatens the health of humans and causes great economic losses. Predictive modeling and forecasting the epidemic trends are essential for developing countermeasures to mitigate this pandemic. We develop a network model, where each node repres...
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| Опубликовано в: : | Math Biosci |
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| Главные авторы: | , , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Elsevier Inc.
2020
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7263299/ https://ncbi.nlm.nih.gov/pubmed/32497623 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.mbs.2020.108391 |
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