{"id":25351,"date":"2021-04-07T22:42:49","date_gmt":"2021-04-07T14:42:49","guid":{"rendered":"https:\/\/swarma.org\/?p=25351"},"modified":"2021-04-07T22:42:49","modified_gmt":"2021-04-07T14:42:49","slug":"%e5%9f%ba%e4%ba%8e%e5%a4%9a%e5%b1%82%e7%bd%91%e7%bb%9c%e7%9a%84covid-19%e6%89%a9%e6%95%a3%e5%92%8c%e6%84%8f%e8%af%86%e4%bc%a0%e6%92%ad%e5%bb%ba%e6%a8%a1%e7%a0%94%e7%a9%b6","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=25351","title":{"rendered":"\u57fa\u4e8e\u591a\u5c42\u7f51\u7edc\u7684COVID-19\u6269\u6563\u548c\u610f\u8bc6\u4f20\u64ad\u5efa\u6a21\u7814\u7a76"},"content":{"rendered":"
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\u7406\u8bba\u7269\u7406\u901a\u8baf | \u4f5c\u8005<\/strong><\/span><\/p>\n

\u4e2d\u56fd\u79d1\u5b66\u9662\u7406\u8bba\u7269\u7406\u7814\u7a76\u6240 <\/span>| \u6765\u6e90<\/strong><\/span><\/p>\n


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\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n

Modeling the COVID-19 epidemic and awareness diffusion on multiplex networks<\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n

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1] Wu J T, Leung K and Leung G M 2020 Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study Lancet 395: 689\u201397<\/span><\/p>\n

[2] Tang B, Wang X, Li Q, Bragazzi N L, Tang S Y, Xiao Y N and Wu J H 2020 Estimation of the transmission risk of the 2019-nCoV and its implication for public health interventions, J. Clin. Med. 9 462<\/span><\/p>\n

[3] Granell C, Gomez S and Arenas A 2013 Dynamical interplay between awareness and epidemic spreading in multiplex networks, Phys. Rev. Lett. 111: 128701<\/span><\/p>\n

[4] Zheng C Y, Xia C Y, Guo Q T and Dehmer M 2018 Interplay between SIR-based disease spreading and awareness diffusion on multiplex networks, J. Parallel Distrib. Comput. 115: 20\u20138<\/span><\/p>\n

[5] Xia C Y, Wang Z S, Zheng C Y, Guo Q T, Shi Y T, Dehmer M and Chen Z Q 2019 A new coupled diseaseawareness spreading model with mass media on multiplex networks, Inf. Sci. 471: 185\u2013200<\/span><\/p>\n

[6] Sun T Z and Wang Y 2020 Modeling COVID-19 epidemic in Heilongjiang province, China Chaos Solitons Fractals 138: 109949<\/span><\/p>\n


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\u76f8\u5173\u6210\u679c\u53d1\u8868\u5728\uff1a<\/span><\/strong><\/p>\n

Le He and Linhe Zhu 2021 Commun. Theor. Phys. 73 035002.<\/span><\/p>\n


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https:\/\/iopscience.iop.org\/article\/10.1088\/1572-9494\/abd84a<\/span><\/p>\n


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