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SEIR modeling of the COVID-19 and its dynamics
In this paper, a SEIR epidemic model for the COVID-19 is built according to some general control strategies, such as hospital, quarantine and external input. Based on the data of Hubei province, the particle swarm optimization (PSO) algorithm is applied to estimate the parameters of the system. We f...
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| 出版年: | Nonlinear Dyn |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Springer Netherlands
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7301771/ https://ncbi.nlm.nih.gov/pubmed/32836803 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11071-020-05743-y |
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