{"id":18233,"date":"2020-01-31T17:10:12","date_gmt":"2020-01-31T09:10:12","guid":{"rendered":"https:\/\/swarma.org\/?p=18233"},"modified":"2020-01-31T17:10:12","modified_gmt":"2020-01-31T09:10:12","slug":"%e6%89%a9%e6%95%a3%e4%bf%a1%e6%81%af%e3%80%81%e4%ba%a4%e9%80%9a%e7%ae%a1%e5%88%b6%e3%80%81%e8%87%aa%e6%88%91%e9%9a%94%e7%a6%bb%ef%bc%8c%e5%93%aa%e4%b8%aa%e6%9b%b4%e8%83%bd%e9%81%8f%e5%88%b6%e7%97%85","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=18233","title":{"rendered":"\u6269\u6563\u4fe1\u606f\u3001\u4ea4\u901a\u7ba1\u5236\u3001\u81ea\u6211\u9694\u79bb\uff0c\u54ea\u4e2a\u66f4\u80fd\u904f\u5236\u75c5\u6bd2\u4f20\u64ad\uff1f"},"content":{"rendered":"
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\u4fe1\u606f\u4f20\u64ad\u548c\u75be\u75c5\u4f20\u64ad\u7684\u5173\u7cfb<\/strong><\/span><\/p>\n

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2015 \u5e74\u4e00\u7bc7\u540d\u4e3a\u300aCoupled disease\u2013behavior dynamics on complex networks\uff1aA review\u300b\u7684\u7efc\u8ff0\uff0c\u6307\u51fa\u4e86\u75be\u75c5\u52a8\u529b\u5b66\u4e0e\u4eba\u7c7b\u884c\u4e3a\u52a8\u529b\u5b66\u4e4b\u95f4\u7684\u53cd\u9988\u56de\u8def\u3002\u5982\u4e0a\u56fe\u6240\u793a\uff0c\u75be\u75c5\u7684\u53d1\u5c55\uff0c\u4f1a\u5f71\u54cd\u4eba\u4eec\u5bf9\u75be\u75c5\u98ce\u9669\u7684\u8ba4\u8bc6\uff0c\u800c\u4eba\u7684\u884c\u4e3a\u901a\u8fc7\u793e\u4ea4\u538b\u529b\u548c\u793e\u4f1a\u8fde\u63a5\u7684\u8c03\u6574\uff0c\u53c8\u5f71\u54cd\u7740\u75be\u75c5\u7684\u4f20\u64ad\u3002\u75be\u75c5\u4f20\u64ad\u548c\u4eba\u7c7b\u884c\u4e3a\uff0c\u4e24\u8005\u7531\u6b64\u76f8\u4e92\u5f71\u54cd\u3002<\/span><\/p>\n


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\u5728\u5bf9\u793e\u4ea4\u884c\u4e3a\u5efa\u6a21\u65f6\uff0c\u6700\u7b80\u5355\u7684\u662f\u57fa\u4e8e\u89c4\u5219\u7684\u5efa\u6a21\u65b9\u6cd5\uff08rule-based modeling\uff09<\/strong>\uff0c\u4f8b\u5982\u8bbe\u5b9a\u968f\u7740\u65f6\u95f4\u7684\u63a8\u79fb\u6216\u4eba\u4eec\u5bf9\u75be\u75c5\u7684\u8fdb\u4e00\u6b65\u8ba4\u8bc6\uff0c\u75be\u75c5\u7684\u4f20\u64ad\u901f\u7387\u4f1a\u53d8\u4f4e\u3002\u66f4\u590d\u6742\u7684\u6a21\u578b\u662f\u7531Hagerstrand\u57281967\u5e74\u63d0\u51fa\u5e73\u5747\u4fe1\u606f\u57df\uff08mean information field\uff09<\/strong>\uff0c\u8be5\u6a21\u578b\u8003\u8651\u4e86\u4eba\u7684\u884c\u4e3a\u5728\u4f20\u64ad\u8fc7\u7a0b\u4e2d\uff0c\u662f\u5426\u91c7\u53d6\u67d0\u4e2a\u884c\u4e3a\uff0c\u53d6\u51b3\u4e8e\u5468\u56f4\u7684\u4eba\u91c7\u53d6\u8be5\u884c\u4e3a\u7684\u6bd4\u4f8b\u662f\u5426\u8fbe\u5230\u9600\u503c\u3002\u5176\u4ed6\u7684\u5efa\u6a21\u65b9\u6cd5\u5305\u62ec\u57fa\u4e8e\u4e3b\u4f53\u7684\u5efa\u6a21\uff08agent based modeling\uff09<\/strong>\uff0c\u7f51\u683c\u7f51\u7edc\uff08lattice network\uff09<\/strong>\u3002<\/span><\/p>\n


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\u5bf9\u201c\u75be\u75c5-\u884c\u4e3a\u52a8\u529b\u5b66\u201d\u9886\u57df\u66f4\u5177\u4f53\u7684\u5efa\u6a21\u53c2\u8003\uff1a<\/span><\/p>\n

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Coupled disease\u2013behavior dynamics on complex networks\uff1aA review<\/span><\/p>\n

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

https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1571064515001372<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n

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

Coupling infectious disease, human preventive behaviour, and networks – A conceptual framework for epidemic modeling<\/span><\/p>\n

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

https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0277953611006551<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


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2.\u75be\u75c5\u4fe1\u606f\u4e5f\u6709\u201c\u8fc7\u72b9\u4e0d\u53ca\u201d\uff1a<\/strong><\/span><\/p>\n

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3.\u5728\u75be\u75c5\u4f20\u64ad\u6a21\u578b\u4e2d<\/strong><\/span><\/p>\n

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\u56fe 5\uff1a<\/span><\/strong>\u75be\u75c5\u4f20\u64ad\u7f51\u7edc\u793a\u610f\u56fe[11]<\/span><\/strong><\/span><\/p>\n


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[1] Li, M., Wang, M., Xue, S. and Ma, J. The influence of awareness on epidemic spreading on random networks. Volume 486, 7 February 2020, 110090.<\/span><\/p>\n

[2] Wang, W., Liu, Q., Cai, S., Tang, M., Braunstein, L. and Stanley, H. Suppressing disease spreading by using information diffusion on multiplex networks. 2016, Scientific Reports volume 6, Article number: 29259.<\/span><\/p>\n

[3] Franco Bagnoli, Pietro Li\u00f2, and Luca Sguanci. Risk perception in epidemic modeling. 2007, Phys. Rev. E 76, 061904 . <\/span><\/p>\n

[4] Ferguson\uff0c N. Capturing human behaviour. 2007, Nature 446\uff0c733-733.<\/span><\/p>\n

[5] Kitchovitch\uff0c S.\uff0c Li\u00f3\uff0c P.\uff0c 2010. Risk perception and disease spread on social networks. 292 Procedia Computer Science 1\uff0c 2345-2354.<\/span><\/p>\n

[6] Hiroshi Nishiura. Time variations in the transmissibility of pandemic influenza in 308 Prussia, Germany, from 1918-19. Theoretical Biology and Medical Modelling 4\uff0c 1-9.<\/span><\/p>\n

[7] Meloni, S., Perra, N., Arenas, A., G\u00f3mez, S., Moreno, Y. and Vespignani, A. , 2011. Modeling human mobility responses to the large-scale spreading of infectious diseases. Scientific Reports 1\uff0c 62.<\/span><\/p>\n

[8] Azizi, A., Montalvo, C., Espinoza, B., Kang, Y. and Castillo-Chavez, C. Epidemics on networks: Reducing disease transmission using health emergency declarations and peer communication.,Volume 5, 2020, Pages 12-22.<\/span><\/p>\n

[9] Zhang, H., Xie, J., Chen, H., Liu, C. and Small,. Impact of asymptomatic infection on coupled disease-behavior dynamics in complex networks. 2016. EPL (Europhysics Letters), Volume 114, Number 3.<\/span><\/section>\n
[10] Shi, T., Long, T., Pan, Y., Zhang, W., Dong, C. and Yin, Q. Effects of asymptomatic infection on the dynamical interplay between behavior and disease transmission in multiplex networks. Volume 536, 15 December 2019, 121030.<\/span><\/span><\/span><\/section>\n

[11] Perez, I., Trunfio, P., La Rocca, C. and Braunstein, L. Controlling distant contacts to reduce disease spreading on disordered complex networks. 2019. arXiv.org. <\/span><\/p>\n

[12] Daniel J. Eck, Olga Morozova, Forrest W. Crawford. Randomization for the direct effect of an infectious disease intervention in a clustered study population. 2018.<\/span><\/p>\n


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Nature\u5b50\u520a\uff1a\u81ea\u7136\u707e\u5bb3\u5982\u4f55\u901a\u8fc7\u4f9b\u5e94\u94fe\u51b2\u51fb\u4f01\u4e1a\u7f51\u7edc<\/strong><\/a>
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\u96c6\u667a\u4ff1\u4e50\u90e8QQ\u7fa4\uff5c877391004<\/span><\/strong><\/p>\n

\u5546\u52a1\u5408\u4f5c\u53ca\u6295\u7a3f\u8f6c\u8f7d\uff5cswarma@swarma.org
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