{"id":30721,"date":"2021-12-07T22:20:03","date_gmt":"2021-12-07T14:20:03","guid":{"rendered":"https:\/\/swarma.org\/?p=30721"},"modified":"2021-12-07T22:20:03","modified_gmt":"2021-12-07T14:20:03","slug":"%e4%bc%a0%e6%9f%93%e7%97%85%e7%9b%91%e6%b5%8b%e7%9a%84%e6%95%b0%e6%8d%ae%e7%a7%91%e5%ad%a6%e6%96%b9%e6%b3%95%e7%89%b9%e5%88%8a%ef%bc%9a%e5%a4%a7%e6%95%b0%e6%8d%ae%e6%80%8e%e6%a0%b7%e5%ba%94%e5%af%b9","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=30721","title":{"rendered":"\u4f20\u67d3\u75c5\u76d1\u6d4b\u7684\u6570\u636e\u79d1\u5b66\u65b9\u6cd5\u7279\u520a\uff1a\u5927\u6570\u636e\u600e\u6837\u5e94\u5bf9\u5927\u6d41\u884c"},"content":{"rendered":"
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Data science approaches to infectious disease surveillance<\/span><\/p>\n

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https:\/\/royalsocietypublishing.org\/toc\/rsta\/2022\/380\/2214<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


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10.\u4eba\u7fa4\u4e2d\u65b0\u51a0\u75ab\u60c5\u6d4b\u8bd5\u7684\u7edf\u8ba1\u6a21\u578b\uff1a\u62bd\u6837\u504f\u5dee\u548c\u6d4b\u8bd5\u8bef\u5dee\u7684\u5f71\u54cd<\/span><\/strong><\/p>\n

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Data science approaches to infectious disease surveillance<\/span><\/p>\n

\u4f5c\u8005\uff1aQingpeng Zhang<\/span><\/p>\n

\u53d1\u8868\u65f6\u95f4\uff1a2020\u5e746\u670812\u65e5<\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/royalsocietypublishing.org\/doi\/10.1098\/rsta.2021.0115<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


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\u672c\u671f\u300a\u81ea\u7136\u79d1\u5b66\u4f1a\u62a5A\u300b\u7684\u4e3b\u9898\u6027\u5f88\u5f3a\uff0c\u9080\u8bf7\u4e86\u4e16\u754c\u5404\u5730\u7684\u524d\u6cbf\u5b66\u8005\uff0c\u4ecb\u7ecd\u4ed6\u4eec\u7528\u4e8e\u6297\u51fb\u65b0\u578b\u51a0\u72b6\u75c5\u6bd2\u548c\u5176\u4ed6\u4f20\u67d3\u75c5<\/span>\uff08\u5305\u62ec\u4eba\u7c7b\u514d\u75ab\u7f3a\u9677\u75c5\u6bd2\uff08HIV<\/span>\uff09\u3001\u8179\u6cfb\u75c5\u6bd2\u548c\u547c\u5438\u7cfb\u7edf\u75be\u75c5<\/span>\uff09\u7684\u6700\u65b0\u6570\u636e\u79d1\u5b66\u7814\u7a76\u6210\u679c\u3002\u53c2\u4e0e\u5b66\u8005\u65e2\u5305\u62ec\u5904\u4e8e\u804c\u4e1a\u751f\u6daf\u65e9\u671f\u6216\u4e2d\u671f\u7684\u5b66\u8005\uff0c\u4e5f\u5305\u62ec\u4e1a\u5185\u77e5\u540d\u5b66\u8005\uff0c\u7814\u7a76\u9886\u57df\u6d89\u53ca\u6570\u636e\u79d1\u5b66\u3001\u8ba1\u7b97\u673a\u79d1\u5b66\u3001\u8ba1\u7b97\u793e\u4f1a\u79d1\u5b66\u3001\u5e94\u7528\u6570\u5b66\u3001\u7edf\u8ba1\u5b66\u3001\u7269\u7406\u5b66\u548c\u516c\u5171\u536b\u751f\u3002\u672c\u671f\u7279\u520a\u5171\u8ba1\u9009\u62e9\u4e8612\u7bc7\u7814\u7a76\u6587\u7ae0\uff0c\u5305\u62ec\u4ece\u4e0d\u786e\u5b9a\u6027\u91cf\u5316\u548c\u4f20\u67d3\u75c5\u5b66\u53c2\u6570\u4f30\u8ba1\uff0c\u5230\u5bf9\u79fb\u52a8\u7535\u8bdd\u6570\u636e\u7684\u5efa\u6a21\u548c\u4f20\u67d3\u75c5\u9884\u6d4b\u7684\u57fa\u672c\u95ee\u9898\u3002\u672c\u520a\u8fd8\u5305\u542b\u4e861 \u7bc7\u8bc4\u8bba\u6587\u7ae0\uff0c\u603b\u7ed3\u4e86\u5982\u4f55\u91c7\u7528\u65b0\u7684\u6570\u636e\u79d1\u5b66\u65b9\u6cd5\u6765\u5e94\u5bf9\u65b0\u51a0\u75ab\u60c5\u3002\u672c\u671f\u7279\u520a\u65e8\u5728\u4fc3\u8fdb\u6570\u636e\u79d1\u5b66\u65b9\u6cd5\u5728\u4f20\u67d3\u75c5\u76d1\u63a7\u3001\u5efa\u6a21\u548c\u63a7\u5236\u65b9\u9762\u7684\u65b0\u7814\u7a76\u3002<\/span><\/p>\n


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\u76f8\u5173\u6587\u732e\u6982\u8ff0<\/span><\/strong><\/span><\/p>\n


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\u5927\u591a\u6570\u4f20\u67d3\u75c5\u5728\u4eba\u7c7b\u5bc6\u5207\u63a5\u89e6\u65f6\u8868\u73b0\u51fa\u4f20\u67d3\u6027\u3002\u56e0\u6b64\uff0c\u4f20\u67d3\u75c5\u7684\u7206\u53d1\u548c\u4f20\u64ad\u5728\u5f88\u5927\u7a0b\u5ea6\u4e0a\u4f9d\u8d56\u4e8e\u5f53\u5730\u4ee5\u53ca\u56fd\u9645\u4eba\u53e3\u7684\u79fb\u52a8\u3002\u4fe1\u606f\u901a\u4fe1\u6280\u672f\u7684\u6700\u65b0\u8fdb\u5c55\u4ee5\u53ca\u667a\u80fd\u8bbe\u5907\u7684\u5e7f\u6cdb\u91c7\u7528\u4f7f\u4eba\u4eec\u80fd\u591f\u83b7\u5f97\u4e30\u5bcc\u7684\u4eba\u7c7b\u79fb\u52a8\u6570\u636e\u3002\u672c\u671f\u67093\u7bc7\u8bba\u6587\u805a\u7126\u4e8e\u4e3a\u4f20\u67d3\u75c5\u76d1\u6d4b\u548c\u9632\u63a7\u5efa\u7acb\u4eba\u7c7b\u79fb\u52a8\u6a21\u578b\u3002Jianxi Gao \u548c\u4ed6\u7684\u540c\u4e8b\u5229\u7528\u5927\u89c4\u6a21\u7684\u4eba\u7c7b\u79fb\u52a8\u6570\u636e\uff0c\u6784\u5efa\u4e86\u63cf\u8ff0\u7f8e\u56fd\u5927\u90fd\u5e02\u7edf\u8ba1\u533a<\/span>\uff08Metropolitan Statistical Areas\uff0c\u7f8e\u56fd\u4eba\u53e3\u5bc6\u5ea6\u8f83\u9ad8\u7684\u6838\u5fc3\u90fd\u5e02\u4e2d\uff0c\u533a\u57df\u4eba\u53e3\u8d85\u8fc75\u4e07\u7684\u5730\u7406\u533a\u57df\uff0c \u7531\u7f8e\u56fd\u4eba\u53e3\u666e\u67e5\u5c40\u548c\u5176\u4ed6\u8054\u90a6\u653f\u5e9c\u673a\u6784\u51fa\u4e8e\u7edf\u8ba1\u76ee\u7684\u800c\u5b9a\u4e49\uff0c\u65e0\u76f8\u5e94\u6cd5\u5f8b\u5730\u4f4d \uff09<\/span>\u5185\u90e8\u53ca\u4e4b\u95f4\u7684\u4eba\u7c7b\u6d3b\u52a8\u65f6\u5e8f<\/span>\uff08\u6bcf\u65e5\u7684\uff09<\/span>\u5c42\u6b21\u7f51\u7edc[2]\u3002\u4ed6\u4eec\u7814\u7a76\u4e86\u8fd9\u4e9b\u65f6\u5e8f\u7f51\u7edc\u4e0a\u7684\u6e17\u6d41\u6548\u5e94<\/span>\uff08percolation effect\uff09<\/span>\uff0c\u53d1\u73b0\u4e86\u5177\u6709\u9ad8\u79fb\u52a8\u9608\u503c\u7684\u529f\u80fd\u5b50\u5355\u5143\u7684\u5b58\u5728\u3002\u8fd9\u4e9b\u6570\u636e\u9a71\u52a8\u7684\u89c1\u89e3\u6709\u52a9\u4e8e\u6211\u4eec\u7406\u89e3\u5728\u51fa\u884c\u9650\u5236\u548c\u975e\u836f\u7269\u5e72\u9884<\/span>\uff08non-pharmaceutical interventions\uff0cNPIs\uff09<\/span>\u671f\u95f4\u79fb\u52a8\u7f51\u7edc\u7684\u65f6\u5e8f\u793e\u7fa4\u7ed3\u6784\u3002\u8be6\u89c1\u7b2c1\u7bc7\u6458\u8981\u3002<\/span><\/p>\n


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\u5728\u4e39\u9ea6\u7684\u53e6\u4e00\u9879\u7814\u7a76\u4e2d[3]\uff0cLaura Alessandretti \u548c\u5979\u7684\u540c\u4e8b\u4eec\u901a\u8fc7\u4f7f\u7528\u975e\u8d1f\u77e9\u9635\u5206\u89e3\u6765\u63cf\u8ff0\u4e0d\u540c\u7684\u51fa\u884c\u884c\u4e3a\u662f\u5982\u4f55\u5bfc\u81f4\u75ab\u60c5\u4f20\u64ad\u7684\u3002\u4ed6\u4eec\u53d1\u73b0\uff0c\u53ef\u5c06\u4e39\u9ea6\u4eba\u7684\u79fb\u52a8\u6a21\u5f0f\u5206\u89e3\u4e3a\u5de5\u4f5c\u65e5\u3001\u5468\u672b\u548c\u5047\u65e5\u4e09\u4e2a\u4e0d\u540c\u65f6\u6bb5\u7684\u51fa\u884c\u3002\u4ed6\u4eec\u8ba1\u7b97\u4e86\u57ce\u5e02\u4e4b\u95f4\u7684\u6709\u6548\u8ddd\u79bb\uff0c\u4ee5\u68c0\u9a8c\u6bcf\u79cd\u7c7b\u578b\u7684\u79fb\u52a8\u5bf9\u65b0\u51a0\u75ab\u60c5\u4f20\u64ad\u7684\u8d21\u732e\u5ea6\u3002\u8fd9\u4e9b\u7814\u7a76\u7ed3\u679c\u63ed\u793a\u4e86\u51fa\u884c\u9650\u5236\u5bf9\u75ab\u60c5\u671f\u95f4\u4eba\u4eec\u51fa\u884c\u7684\u5404\u79cd\u5f71\u54cd\uff0c\u5e76\u53ef\u80fd\u4e3a\u4f20\u67d3\u75c5\u9632\u63a7\u7684\u6709\u6548\u653f\u7b56\u63d0\u4f9b\u4fe1\u606f\u3002\u8be6\u89c1\u7b2c2\u7bc7\u6458\u8981\u3002<\/span><\/p>\n


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\u4eba\u7c7b\u7684\u79fb\u52a8\u6027\u5bf9\u4e8e\u827e\u6ecb\u75c5\u6bd2\u5728\u9ad8\u5371\u4eba\u7fa4<\/span>\uff08\u5982\u7537\u7537\u6027\u63a5\u89e6\u8005\uff0cMSM\uff09<\/span>\u4e2d\u7684\u4f20\u64ad\u4e5f\u8d77\u7740\u81f3\u5173\u91cd\u8981\u7684\u4f5c\u7528\u3002Dan Wu \u548c\u4ed6\u7684\u540c\u4e8b\u4eec\u5229\u7528\u4ece\u7537\u540c\u793e\u4ea4\u7f51\u7ad9\u3001\u79bb\u7ebf\u4eba\u7c7b\u79fb\u52a8\u7f51\u7edc\u548c\u7537\u7537\u6027\u63a5\u89e6\u8005\u81ea\u6211\u62a5\u544a\u7684\u6027\u884c\u4e3a\u4e2d\u83b7\u5f97\u7684\u591a\u6e90\u5927\u6570\u636e\uff0c\u7814\u7a76\u4e86\u5e7f\u4e1c\u7701\u5404\u57ce\u5e02\u5185\u90e8\u548c\u57ce\u5e02\u4e4b\u95f4\u827e\u6ecb\u75c5\u6bd2\u4f20\u64ad\u7684\u884c\u4e3a\u52a8\u529b\u5b66\u7279\u5f81[4]\u3002\u4ed6\u4eec\u7684\u7814\u7a76\u8868\u660e\uff0c\u7537\u7537\u6027\u63a5\u89e6\u8005\u91c7\u7528\u66b4\u9732\u524d\u9884\u9632\u7528\u836f<\/span>\uff08pre-exposure prophylaxis \uff0cPrEP\uff09<\/span>\u53ef\u4ee5\u663e\u8457\u5ef6\u7f13\u6240\u6709\u57ce\u5e02\u827e\u6ecb\u75c5\u6bd2\u7684\u53d1\u751f\u3002\u7814\u7a76\u7ed3\u679c\u8fd8\u8868\u660e\uff0c\u4eba\u7c7b\u79fb\u52a8\u7f51\u7edc\u7684\u67a2\u7ebd\u8282\u70b9\u9762\u4e34\u7740\u66f4\u9ad8\u7684\u63a5\u89e6\u65e9\u671f\u65b0\u827e\u6ecb\u75c5\u6bd2\u57fa\u56e0\u578b\u7684\u98ce\u9669\u3002\u8fd9\u4e9b\u7814\u7a76\u7ed3\u679c\u9a8c\u8bc1\u4e86\u66b4\u9732\u524d\u9884\u9632\u7528\u836f\u5728\u7537\u7537\u6027\u63a5\u89e6\u8005\u4e2d\u7684\u5e94\u7528\u6548\u679c\uff0c\u5e76\u4e3a\u5e7f\u4e1c\u7701\u5404\u57ce\u5e02\u63a7\u5236\u548c\u9884\u9632\u827e\u6ecb\u75c5\u63d0\u4f9b\u4e86\u6570\u636e\u4f9d\u636e\u3002\u8be6\u89c1\u7b2c3\u7bc7\u6458\u8981\u3002<\/span><\/p>\n


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\u4eba\u7fa4\u6613\u611f\u6027\u548c\u63a5\u89e6\u5f3a\u5ea6\u7684\u5f02\u8d28\u6027\u8feb\u5207\u53cd\u6620\u4e86\u8003\u8651\u65b0\u51a0\u75ab\u60c5\u5e74\u9f84\u7279\u5f02\u6027\u4e25\u91cd\u7a0b\u5ea6\u7684\u5fc5\u8981\u6027\u3002Alex Arenas \u548c\u4ed6\u7684\u540c\u4e8b\u53d1\u73b0\uff0c\u5728\u516b\u4e2a\u56fd\u5bb6\u6216\u5730\u533a\u60a3\u75c5\u7387\u8f83\u4f4e\u65f6\uff0c\u8001\u5e74\u4eba\u611f\u67d3\u7684\u6bd4\u4f8b\u975e\u5e38\u5c0f\uff0c\u800c\u5728\u60a3\u75c5\u7387\u8f83\u9ad8\u65f6\uff0c\u8001\u5e74\u4eba\u611f\u67d3\u7684\u6bd4\u4f8b\u6709\u6240\u589e\u52a0[5]\u3002\u4f5c\u8005\u901a\u8fc7\u89e3\u91ca\u65b0\u51a0\u75ab\u60c5\u7684\u5e74\u9f84\u7279\u5f02\u6027\u4e25\u91cd\u7a0b\u5ea6\uff0c\u5bf9\u8be5\u73b0\u8c61\u63d0\u51fa\u4e86\u4e00\u79cd\u673a\u5236\u89e3\u91ca\uff0c\u5e76\u901a\u8fc7\u6613\u611f-\u611f\u67d3-\u6e05\u9664<\/span>\uff08susceptible-infectious-removed\uff0cSIR\uff09<\/span>\u4f20\u64ad\u6a21\u578b\u4e2d\u7684\u4e24\u7b56\u7565\u535a\u5f08\uff0c\u5bf9\u5b9e\u65bd\u5f02\u8d28\u6027\u975e\u836f\u7269\u5e72\u9884\u8fdb\u884c\u4e86\u52a8\u529b\u5b66\u5efa\u6a21\u3002\u4ed6\u4eec\u7684\u7814\u7a76\u7ed3\u679c\u4e3a\u7406\u89e3\u4e0d\u540c\u5e74\u9f84\u7ec4\u4e4b\u95f4\u968f\u65f6\u95f4\u53d8\u5316\u7684\u75c5\u4f8b\u5206\u5e03\u63d0\u4f9b\u4e86\u6df1\u523b\u7684\u89c1\u89e3\uff0c\u5e76\u4e14\u5bf9\u6700\u5c0f\u6a21\u578b\u5982\u4f55\u5728\u5b9e\u9645\u6570\u636e\u4e2d\u5c55\u73b0\u590d\u6742\u73b0\u8c61\u6709\u91cd\u8981\u7684\u542f\u793a\u3002\u7814\u7a76\u7ed3\u679c\u8868\u660e\uff0c\u5728\u5b9e\u8df5\u4e2d\u9700\u8981\u8003\u8651\u5230\u7531\u4e8e\u9ad8\u5371\u4eba\u7fa4\u611f\u67d3\u7387\u8f83\u4f4e\uff0c\u5bfc\u81f4\u5bf9\u533b\u7597\u4fdd\u5065\u7cfb\u7edf\u672a\u6765\u538b\u529b\u7684\u4f4e\u4f30\u3002\u8be6\u89c1\u7b2c4\u7bc7\u6458\u8981\u3002<\/span><\/p>\n


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\u4eba\u7fa4\u7279\u5b9a\u5e74\u9f84\u7684\u6df7\u5408\u6a21\u5f0f\u4e5f\u53ef\u80fd\u5f71\u54cd\u975e\u836f\u7269\u5e72\u9884\u7684\u6548\u529b\uff0c\u4f8b\u5982\u5173\u95ed\u5b66\u6821\u662f\u4e00\u79cd\u5728\u4e16\u754c\u8303\u56f4\u5185\u666e\u904d\u91c7\u7528\u7684\u75ab\u60c5\u9632\u63a7\u63aa\u65bd\u3002\u901a\u8fc7\u5229\u7528\u4e2d\u56fd\u4e24\u4e2a\u57ce\u5e02\u7684\u76d1\u6d4b\u6570\u636e\uff0cJoseph t. Wu\u548c\u4ed6\u7684\u540c\u4e8b\u63a8\u65ad\u51fa\u4e86\u4e0d\u540c\u5e74\u9f84\u7ec4\u4eba\u7fa4\u7684\u6613\u611f\u6027\uff0c\u5e76\u5f00\u53d1\u51fa\u4f20\u64ad\u6a21\u578b\u6765\u8bc4\u4f30\u5173\u95ed\u5b66\u6821\u5bf9\u63a7\u5236\u65b0\u51a0\u75ab\u60c5\u4f20\u64ad\u7684\u5f71\u54cd[6]\u3002\u4ed6\u4eec\u53d1\u73b0\u5b66\u751f\u7684\u4f4e\u6613\u611f\u6027\u9650\u5236\u4e86\u5173\u95ed\u5b66\u6821\u5728\u65b0\u51a0\u75ab\u60c5\u63a7\u5236\u4e2d\u7684\u6709\u6548\u6027\uff0c\u5e76\u8868\u660e\u5173\u95ed\u5b66\u6821\u53ef\u80fd\u4e0d\u662f\u63a7\u5236\u65b0\u51a0\u75ab\u60c5\u7406\u60f3\u7684\u76f4\u63a5\u5e72\u9884\u63aa\u65bd\u3002\u8be6\u89c1\u7b2c5\u7bc7\u6458\u8981\u3002<\/span><\/p>\n


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\u5f02\u8d28\u6027\u8fd8\u4f53\u73b0\u5728\u5730\u7406\u5c3a\u5ea6\u4e0a\u75be\u75c5\u7684\u589e\u957f\u7387\u3002Kristina Lerman\u53ca\u5176\u540c\u4e8b\u901a\u8fc7\u5206\u6790\u7f8e\u56fd\u591a\u4e2a\u5730\u7406\u5c3a\u5ea6\u4e0a\u786e\u8ba4\u7684\u611f\u67d3\u4eba\u6570\u548c\u6b7b\u4ea1\u4eba\u6570\uff0c\u89e3\u51b3\u4e86\u8fd9\u4e00\u5173\u952e\u95ee\u9898[7]\u3002\u4ed6\u4eec\u53d1\u73b0\u65b0\u51a0\u75ab\u60c5\u7684\u5f71\u54cd\u5728\u4e0d\u540c\u5730\u533a\u4e4b\u95f4\u5b58\u5728\u5f88\u5927\u7684\u5dee\u5f02\u3002\u4e3a\u6b64\uff0c\u4ed6\u4eec\u63d0\u51fa\u4e86\u4e00\u79cdReed-Hughes\u5f0f\u673a\u5236*\u5bf9\u8be5\u6548\u5e94\u5efa\u6a21\u3002\u7814\u7a76\u7ed3\u679c\u5f3a\u8c03\u4e86\u901a\u8fc7\u7a7a\u95f4\u805a\u96c6\u6765\u6743\u8861\u566a\u97f3\u964d\u4f4e\u548c\u504f\u5dee\u589e\u52a0\uff0c\u5e76\u547c\u5401\u516c\u5171\u51b3\u7b56\u8005\u6ce8\u610f\u5728\u4f30\u8ba1\u65b0\u51a0\u75ab\u60c5\u589e\u957f\u7387\u65f6\uff0c\u8003\u8651\u8fd9\u79cd\u805a\u96c6\u626d\u66f2\u7684\u504f\u5dee\u3002\u8be6\u89c1\u7b2c6\u7bc7\u6458\u8981\u3002<\/span>\uff08*\u6ce8\uff1aReed-Hughes \u673a\u5236\u57282002\u5e74\u7531 William J. Reed \u548c Barry D. Hughes \u63d0\u51fa\uff0c\u7528\u4e8e\u89e3\u91ca\u7edf\u8ba1\u5206\u5e03\u4e2d\u5e42\u5f8b\u5c3e\u7684\u51fa\u73b0\u3002\uff09<\/span><\/p>\n


<\/span><\/p>\n

\u5927\u591a\u6570\u65b0\u51a0\u75ab\u60c5\u4f20\u64ad\u6a21\u578b\u90fd\u57fa\u4e8e\u6807\u51c6SIR\u5206\u533a\u6a21\u578b\u6216\u5176\u53d8\u4f53\u3002\u5728\u672c\u671f\u7279\u520a\u4e2d\uff0c\u67093\u7bc7\u8bba\u6587\u8ba8\u8bba\u4e86\u8fd9\u79cd\u5206\u533a\u6a21\u578b\u7684\u6821\u6b63\u53ca\u5176\u5728\u5904\u7406\u5b9e\u9645\u6570\u636e\u65f6\u7684\u5c40\u9650\u6027\u3002James Gleeson\u548c\u4ed6\u7684\u540c\u4e8b\u62a5\u544a\u4e86\u4ee5\u4eba\u53e3\u4e3a\u57fa\u7840\u7684SEIR<\/span> \uff08E \u8868\u793a Exposed\uff09<\/span>\u6a21\u578b\uff0c\u8be5\u6a21\u578b\u4e3a\u7231\u5c14\u5170\u653f\u5e9c\u63d0\u4f9b\u4e86\u75ab\u60c5\u9632\u63a7\u7684\u5efa\u8bae[8]\u3002\u4e3a\u4e86\u523b\u753b\u975e\u836f\u7269\u5e72\u9884\u7684\u5f71\u54cd\uff0c\u4ed6\u4eec\u5728\u6a21\u578b\u4e2d\u5f15\u5165\u4e86\u968f\u65f6\u95f4\u53d8\u5316\u7684\u6709\u6548\u63a5\u89e6\u7387\u3002\u5728\u6587\u7ae0\u4e2d\uff0c\u4ed6\u4eec\u63d0\u51fa\u4e86\u4e00\u79cd\u5229\u7528\u89c2\u6d4b\u6570\u636e\u8fdb\u884c\u9c81\u68d2\u6821\u6b63\u7684\u65b0\u578b\u7b97\u6cd5\u3002\u4ed6\u4eec\u7684\u6821\u6b63\u7b97\u6cd5\u53ef\u5e94\u7528\u4e8e\u5176\u4ed6\u573a\u666f<\/span>\uff08\u4f8b\u5982\u75ab\u82d7\u63a5\u79cd\uff09<\/span>\u7684\u5efa\u6a21\uff0c\u4ee5\u8f83\u4f4e\u7684\u590d\u6742\u6027\u5b9e\u73b0\u4e86\u826f\u597d\u7684\u51c6\u786e\u6027\u3002\u8be6\u89c1\u7b2c7\u7bc7\u6458\u8981\u3002<\/span><\/p>\n


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\u5728\u6587\u7ae0[9]\u4e2d\uff0cDirk Helbing\u548c\u4ed6\u7684\u540c\u4e8b\u6307\u51fa\uff0c\u7531\u4e8e\u5ffd\u7565\u4e86\u968f\u673a\u6548\u5e94\u3001\u7f51\u7edc\u6548\u5e94\u53ca\u6d4b\u91cf\u8fc7\u7a0b\u7684\u5f71\u54cd\uff0c\u4f7f\u7528SIR\u7c7b\u578b\u7684\u5206\u533a\u6a21\u578b\u6765\u76d1\u6d4b\u4f20\u67d3\u75c5\u7684\u57fa\u672c\u6311\u6218\u3002\u4ed6\u4eec\u5c06\u8fd9\u6837\u7684\u5206\u533a\u6a21\u578b\u4e0e\u6d4b\u8bd5\u8fc7\u7a0b\u7684\u6d4b\u91cf\u6a21\u578b\u7ed3\u5408\uff0c\u5e76\u68c0\u67e5\u4e86\u8bef\u5dee\u548c\u6709\u504f\u91c7\u6837\u3002\u4ed6\u4eec\u7684\u7ed3\u8bba\u662f\uff1a\u5c06\u4f20\u7edf\u65b9\u6cd5\u5e94\u7528\u4e8e\u5177\u6709\u975e\u7ebf\u6027\u52a8\u529b\u5b66\u3001\u7f51\u7edc\u6548\u5e94\u548c\u4e0d\u786e\u5b9a\u6027\u7684\u590d\u6742\u7cfb\u7edf\u53ef\u80fd\u4f1a\u4ea7\u751f\u8bef\u5bfc\uff0c\u4ece\u800c\u5f71\u54cd\u5230\u4e0b\u6e38\u7684\u76d1\u6d4b\u548c\u9884\u6d4b\u4efb\u52a1\u3002\u4ed6\u4eec\u8ba4\u4e3a\uff0c\u8fd9\u4e9b\u8bef\u5dee\u53ef\u4ee5\u901a\u8fc7\u5c06\u4f20\u64ad\u52a8\u529b\u5b66\u548c\u6d4b\u91cf\u8fc7\u7a0b\u7684\u79d1\u5b66\u77e5\u8bc6\u7eb3\u5165\u6a21\u578b\u6765\u7ea0\u6b63\u3002\u8be6\u89c1\u7b2c8\u7bc7\u6458\u8981\u3002<\/span><\/p>\n


<\/span><\/p>\n

SIR\u578b\u5206\u533a\u6a21\u578b\u53e6\u4e00\u4e2a\u660e\u663e\u7684\u5c40\u9650\u6027\uff0c\u662f\u5bf9\u793e\u4ea4\u7f51\u7edc\u5747\u5300\u548c\u5b8c\u5168\u6df7\u5408\u7684\u7b80\u5316\u5047\u8bbe\u3002\u4e3a\u4e86\u63cf\u8ff0\u4e2a\u4f53\u95f4\u75be\u75c5\u4f20\u64ad\u7684\u5f02\u8d28\u6027\uff0cNicholas A. Christakis \u548c\u540c\u4e8b\u5728\u6d2a\u90fd\u62c9\u65af\u6536\u96c6\u4e86\u8be6\u7ec6\u7684\u7eb5\u5411\u793e\u4ea4\u4e2d\u5fc3\u6f14\u53d8\u6570\u636e\uff0c\u5e76\u521b\u5efa\u4e86\u4e00\u4e2a\u793e\u4ea4\u7f51\u7edc\u9a71\u52a8\u7684\u4f20\u64ad\u6a21\u578b\uff0c\u4ee5\u8bc6\u522b\u4eba\u53e3\u4e2d\u7684\u8d85\u7ea7\u4f20\u64ad\u8005\u548c\u6613\u611f\u4e2a\u4f53[10]\u3002\u901a\u8fc7\u4e3b\u4f53\u5efa\u6a21\uff0c\u4ed6\u4eec\u80fd\u591f\u9884\u6d4b\u8179\u6cfb\u548c\u547c\u5438\u9053\u75be\u75c5\u7684\u7206\u53d1\u3002\u4f7f\u7528\u4eba\u53e3\u6c34\u5e73\u8c03\u67e5\u6765\u9a8c\u8bc1\u9884\u6d4b\u548c\u786e\u5b9a\u8d85\u7ea7\u4f20\u64ad\u8005\u548c\u6613\u611f\u4e2a\u4f53\u3002\u4e0e\u56de\u6eaf\u63a5\u89e6\u8005\u8ffd\u8e2a\u4e0d\u540c\uff0c\u672c\u7814\u7a76\u901a\u8fc7\u6a21\u62df\u6765\u4e3b\u52a8\u8bc6\u522b\u8d85\u7ea7\u4f20\u64ad\u8005\u3002\u4ed6\u4eec\u7684\u6a21\u578b\u53ef\u4ee5\u5e94\u7528\u4e8e\u5176\u5b83\u4f9d\u8d56\u63a5\u89e6\u4f20\u64ad\u7684\u4f20\u67d3\u75c5\uff0c\u7814\u7a76\u7ed3\u679c\u8bf4\u660e\u6709\u5fc5\u8981\u5728\u75be\u75c5\u4f20\u64ad\u6a21\u578b\u4e2d\u8003\u8651\u793e\u4ea4\u4e92\u52a8\u3002\u8be6\u89c1\u7b2c9\u7bc7\u6458\u8981\u3002<\/span><\/p>\n


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\u4f20\u67d3\u75c5\u76d1\u6d4b\u7684\u4e00\u9879\u4e3b\u8981\u4e14\u5177\u6709\u6311\u6218\u6027\u7684\u4efb\u52a1\u662f\u901a\u8fc7\u68c0\u6d4b\u51c6\u786e\u4f30\u8ba1\u60a3\u75c5\u7387\uff0c\u56e0\u4e3a\u5728\u52a8\u6001\u6f14\u5316\u7684\u4eba\u7fa4\u4e2d\u8fdb\u884c\u68c0\u6d4b\u5b58\u5728\u7740\u8bef\u5dee\u548c\u504f\u5dee\u3002Lucas B\u00f6ttcher\u548c\u4ed6\u7684\u540c\u4e8b\u5f00\u53d1\u4e86\u4e00\u4e2a\u7edf\u8ba1\u6a21\u578b\u6765\u63a8\u65ad\u60a3\u75c5\u7387[11]\u3002\u4ed6\u4eec\u7684\u6a21\u578b\u8003\u8651\u5230\u4e86\u62bd\u6837\u504f\u5dee\u548c\u6d4b\u8bd5\u8bef\u5dee\u3002\u65b0\u51a0\u75ab\u60c5\u7684\u5b9e\u8bc1\u6570\u636e\u8bc1\u660e\u4e86\u8be5\u6a21\u578b\u7528\u4e0d\u786e\u5b9a\u6027\u7684\u91cf\u5316\u6307\u6807\u4f30\u8ba1\u60a3\u75c5\u7387\u7684\u6709\u6548\u6027\u3002\u8be5\u6a21\u578b\u6846\u67b6\u662f\u901a\u7528\u7684\uff0c\u53ef\u4ee5\u5f88\u5bb9\u6613\u5730\u5e94\u7528\u4e8e\u5176\u4ed6\u4f20\u67d3\u75c5\u7684\u76d1\u6d4b\u3002\u8be6\u89c1\u7b2c10\u7bc7\u6458\u8981\u3002<\/span><\/p>\n


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\u793e\u4ea4\u5a92\u4f53\u5df2\u88ab\u516c\u8ba4\u4e3a\u76d1\u6d4b\u4f20\u67d3\u75c5\u548c\u516c\u5171\u536b\u751f\u4e8b\u4ef6\u7684\u4e3b\u8981\u6570\u636e\u6e90\u3002Wei Wang\u548c\u4ed6\u7684\u540c\u4e8b\u5f00\u53d1\u4e86\u65b0\u51a0\u75ab\u60c5\u76d1\u6d4b\u7cfb\u7edf\uff0c\u8fd9\u662f\u4e00\u4e2a\u57fa\u4e8e\u7f51\u7edc\u7684\u65b0\u51a0\u75ab\u60c5\u76d1\u6d4b\u7cfb\u7edf[12]\u3002\u65b0\u51a0\u75ab\u60c5\u76d1\u6d4b\u8005\u91c7\u7528\u4e86\u52a8\u6001\u56fe\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\uff0c\u901a\u8fc7\u5206\u6790\u63a8\u7279\u7684\u6d41\u6570\u636e\u6765\u9884\u6d4b\u8d8b\u52bf\uff0c\u5e76\u8bc6\u522b\u65b0\u51a0\u75ab\u60c5\u7684\u9ad8\u98ce\u9669\u4e8b\u4ef6\u3002\u8be6\u89c1\u7b2c11\u7bc7\u6458\u8981\u3002<\/span><\/p>\n


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\u8d44\u6e90\u914d\u7f6e\u662f\u4f20\u67d3\u75c5\u63a7\u5236\u7684\u5173\u952e\u3002Weiming Tang \u548c\u4ed6\u7684\u540c\u4e8b\u5229\u7528\u4e2d\u56fd\u7537\u7537\u6027\u63a5\u89e6\u8005\u7684\u5b9e\u9645\u6570\u636e\uff0c\u5efa\u7acb\u4e86\u4e24\u4e2a\u6570\u636e\u9a71\u52a8\u7684\u6574\u6570\u7ebf\u6027\u89c4\u5212\u6a21\u578b\uff0c\u4ee5\u4f18\u5316\u9ad8\u5371\u4eba\u7fa4\u4e2dHIV\u81ea\u68c0<\/span>\uff08HIVST\uff09<\/span>\u8bd5\u5242\u76d2\u7684\u4e8c\u7ea7\u5206\u53d1[13]\u3002\u7ed3\u679c\u8868\u660e\uff0c\u6240\u63d0\u8bae\u7684\u6570\u636e\u9a71\u52a8\u65b9\u6cd5\u5728\u63d0\u9ad8HIVST\u4e8c\u7ea7\u5206\u53d1\u7684\u536b\u751f\u7ecf\u6d4e\u6548\u76ca\u65b9\u9762\u662f\u53ef\u884c\u7684\u3002\u8be5\u6a21\u578b\u53ef\u4f5c\u4e3a\u6307\u5bfc\u8d44\u6e90\u532e\u4e4f\u7684\u4f4e\u6536\u5165\u548c\u4e2d\u7b49\u6536\u5165\u56fd\u5bb6\u5b9e\u65bd\u4e8c\u7ea7HIVST\u5206\u53d1\u7684\u53c2\u8003\u3002\u8fdb\u4e00\u6b65\u7684\u51c6\u5b9e\u9a8c\u6027\u6d4b\u8bd5\u5c06\u6bd4\u8f83\u672c\u65b9\u6cd5\u4e0e\u4f20\u7edf\u516c\u5171\u536b\u751f\u65b9\u6cd5\u6240\u4ea7\u751f\u7684\u7684\u5b9e\u9645\u7ecf\u6d4e\u6548\u76ca\u5dee\u5f02\u3002\u8be6\u89c1\u7b2c12\u7bc7\u6458\u8981\u3002<\/span><\/p>\n


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\u672c\u671f\u8bba\u6587\u8bb8\u591a\u91cd\u8981\u7684\u4e3b\u9898\u672a\u6d89\u53ca\u5230\uff0c\u5305\u62ec\u8bc4\u4f30\u7ecf\u6d4e\u5f71\u54cd\u3001\u6316\u6398\u60a3\u8005\u6570\u636e\u3001\u836f\u7269\u518d\u5229\u7528\u548c\u5f00\u53d1\u3001\u79d1\u5b66\u6587\u732e\u7b49\u3002\u611f\u5174\u8da3\u7684\u8bfb\u8005\u53ef\u4ee5\u53c2\u8003\u7b2c13\u7bc7\u6458\u8981[1]\uff0c\u5b83\u56de\u987e\u4e86\u5728\u6297\u51fb\u65b0\u51a0\u75ab\u60c5\u4e2d\u89e3\u51b3\u8fd9\u4e9b\u95ee\u9898\u7684\u65b0\u578b\u6570\u636e\u79d1\u5b66\u65b9\u6cd5\uff0c\u5e76\u8ba8\u8bba\u4e86\u8fd9\u4e00\u65b0\u5174\u9886\u57df\u7684\u673a\u9047\u548c\u6311\u6218\u3002<\/span><\/p>\n


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\u663e\u800c\u6613\u89c1\uff0c\u5927\u6570\u636e\u548c\u6570\u636e\u79d1\u5b66\u65b9\u6cd5\u5bf9\u4e8e\u6709\u6548\u63a7\u5236\u4f20\u67d3\u75c5\u4e0d\u53ef\u6216\u7f3a\u3002\u4f20\u7edf\u7684\u516c\u5171\u536b\u751f\u7814\u7a76\u4eba\u5458\u548c\u6570\u636e\u79d1\u5b66\u7814\u7a76\u4eba\u5458\u4e4b\u95f4\u5f80\u5f80\u5b58\u5728\u7740\u9e3f\u6c9f\u4e0e\u5dee\u5f02\uff0c\u6211\u4eec\u5e0c\u671b\u901a\u8fc7\u672c\u671f\u7279\u520a\u4ecb\u7ecd\u4e24\u4e2a\u9886\u57df\u4e13\u5bb6\u7684\u8d21\u732e\uff0c\u5f25\u5408\u8fd9\u4e00\u9e3f\u6c9f\u3002\u957f\u8fdc\u6765\u770b\uff0c\u672c\u671f\u7279\u520a\u7684\u7814\u7a76\u4e0d\u4ec5\u6709\u52a9\u4e8e\u6297\u51fb\u65b0\u51a0\u75ab\u60c5\uff0c\u8fd8\u6709\u52a9\u4e8e\u76d1\u6d4b\u548c\u63a7\u5236\u5176\u4ed6\u4f20\u67d3\u75c5\u3002<\/span><\/p>\n


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\u53c2\u8003\u6587\u732e\uff1a<\/span><\/strong><\/span><\/h3>\n

[1] Zhang Q, Gao J, Wu JT, Cao Z, Dajun Zeng D. 2021 Data science approaches to confronting the COVID-19 pandemic: a narrative review. Phil. Trans. R. Soc. A 380, 20210127. \uff08doi:10.1098\/rsta.2021.0127\uff09<\/span><\/p>\n

[2]He H, Deng H, Wang Q, Gao J. 2021 Percolation of temporal hierarchical mobility networks during COVID-19. Phil. Trans. R. Soc. A 380, 20210116. \uff08doi:10.1098\/rsta.2021.0116\uff09<\/span><\/p>\n

[3] Edsberg M\u00f8llgaard P, Lehmann S, Alessandretti L. 2021 Understanding components of mobility during the COVID-19 pandemic. Phil. Trans. R. Soc. A 380, 20210118.\uff08doi:10.1098\/rsta.2021.0118\uff09<\/span><\/p>\n

[4]Jing F et al. 2021 Modelling the geographical spread of HIV among MSM in Guangdong,China: a metapopulation model considering the impact of pre-exposure prophylaxis. Phil.Trans. R. Soc. A 380, 20210126. \uff08doi:10.1098\/rsta.2021.0126\uff09<\/span><\/p>\n

[5] Steinegger B, Arola-Fern\u00e1ndez L, Granell C, G\u00f3mez-Garde\u00f1es J, Arenas A. 2021 Behavioural response to heterogeneous severity of COVID-19 explains temporal variation of cases among different age groups. Phil. Trans. R. Soc. A 380, 20210119. \uff08doi:10.1098\/rsta.2021.0119\uff09<\/span><\/p>\n

[6]Wu JT et al. 2021 A global assessment of the impact of school closure in reducing COVID-19 spread. Phil. Trans. R. Soc. A 380, 20210124. \uff08doi:10.1098\/rsta.2021.0124\uff09<\/span><\/p>\n

[7]Burghardt K, Guo S, Lerman K. 2021 Unequal impact and spatial aggregation distort COVID-19 growth rates. Phil. Trans. R. Soc. A 380, 20210122. \uff08doi:10.1098\/rsta.2021.0122\uff09<\/span><\/p>\n

[8]Gleeson JP, Brendan Murphy T, O\u2019Brien JD, Friel N, Bargary N, O\u2019Sullivan DJP. 2021 Calibrating COVID-19 susceptible-exposed-infected-removed models with time-varying effective contact rates. Phil. Trans. R. Soc. A 380, 20210120. \uff08doi:10.1098\/rsta.2021.0120\uff09<\/span><\/p>\n

[9]Vasiliauskaite V, Antulov-Fantulin N, Helbing D. 2021 On some fundamental challenges in monitoring epidemics. Phil. Trans. R. Soc. A 380, 20210117. \uff08doi:10.1098\/rsta.2021.0117\uff09<\/span><\/p>\n

[10]Shridhar SV, Alexander M, Christakis NA. 2021 Characterizing super-spreaders using population-level weighted social networks in rural communities. Phil. Trans. R. Soc. A 380,20210123.\uff08doi:10.1098\/rsta.2021.0123\uff09<\/span><\/p>\n

[11]B\u00f6ttcher L, D\u2019Orsogna MR, Chou T. 2021 A statistical model of COVID-19 testing in populations: effects of sampling bias and testing errors. Phil. Trans. R. Soc. A 380, 20210121.\uff08doi:10.1098\/rsta.2021.0121\uff09<\/span><\/p>\n

[12]Jiang J-Y, Zhou Y, Chen X, Jhou Y-R, Zhao L, Liu S, Yang P-C, Ahmar J, Wang W. 2021 COVID-19 Surveiller: toward a robust and effective pandemic surveillance system based on social media mining. Phil. Trans. R. Soc. A 380, 20210125. \uff08doi:10.1098\/rsta.2021.0125\uff09<\/span><\/p>\n

[13]Jing F, Zhang Q, Ong JJ, Xie Y, Ni Y, Cheng M, Huang S, Zhou Y, Tang W. 2021 Optimal resource allocation in HIV self-testing secondary distribution among Chinese MSM: data-driven integer programming models. Phil. Trans. R. Soc. A 380, 20210128. \uff08doi:10.1098\/rsta.2021.0128\uff09<\/span><\/p>\n


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\u4ee5\u4e0b\u4e3a\u300a\u81ea\u7136\u79d1\u5b66\u4f1a\u62a5A\u300b\u5f53\u671f\u53e6\u591613\u7bc7\u8bba\u6587<\/span>\uff08\u542b\u7814\u7a76\u8bba\u6587\u53ca\u8bc4\u8bba\u6587\u7ae0\uff09<\/span>\u7684\u6458\u8981\uff1a<\/span><\/p>\n


<\/h3>\n

1.\u65b0\u51a0\u75ab\u60c5\u671f\u95f4\u65f6\u5e8f\u5c42\u6b21\u79fb\u52a8\u7f51\u7edc\u7684\u6e17\u6d41<\/span><\/strong><\/span><\/h3>\n


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\u8bba\u6587\u9898\u76ee\uff1aPercolation of temporal hierarchical mobility networks during COVID-19<\/span><\/p>\n

\u4f5c\u8005\uff1aHaoyu He\uff0cHengfang Deng\uff0cQi Wang\uff0cJianxi Gao<\/span><\/p>\n

\u53d1\u8868\u65f6\u95f4\uff1a2021\u5e7411\u670822\u65e5<\/span><\/p>\n

\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/royalsocietypublishing.org\/doi\/10.1098\/rsta.2021.0116<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


<\/p>\n

\u6e17\u6d41\u7406\u8bba\u5bf9\u4e8e\u7406\u89e3\u65f6\u5e8f\u79fb\u52a8\u7f51\u7edc<\/span>\uff08temporal mobility networks\uff09<\/span>\u4e0a\u7684\u75be\u75c5\u4f20\u64ad\u6a21\u5f0f\u81f3\u5173\u91cd\u8981\u3002\u7136\u800c\uff0c\u5728\u957f\u65f6\u95f4\u5206\u6790\u5927\u89c4\u6a21\u52a8\u6001\u7f51\u7edc\u65f6\uff0c\u4f20\u7edf\u7684\u6e17\u6d41\u8fc7\u7a0b\u65b9\u6cd5\u53ef\u80fd\u6548\u7387\u4f4e\u4e0b\u3002\u5b83\u4e0d\u4ec5\u8017\u65f6\uff0c\u800c\u4e14\u5f88\u96be\u8bc6\u522b\u8fde\u901a\u7247<\/span>\uff08connected component\uff09<\/span>\u3002\u6700\u8fd1\u7684\u7814\u7a76\u8868\u660e\uff0c\u7a7a\u95f4\u5bb9\u5668\u9650\u5236\u4e86\u7531\u79fb\u52a8\u7f51\u7edc\u5206\u5c42\u62d3\u6251\u7ed3\u6784\u63cf\u8ff0\u7684\u79fb\u52a8\u884c\u4e3a\u3002\u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u5229\u7528\u4f17\u5305\u7684\u5927\u89c4\u6a21\u4eba\u7c7b\u79fb\u52a8\u6570\u636e\uff0c\u6784\u5efa\u7531\u7f8e\u56fd\u8d85\u8fc7 175000 \u4e2a\u8857\u533a\u7ec4\u6210\u7684\u65f6\u5e8f\u5c42\u6b21\u7f51\u7edc<\/span>\uff08temporal hierarchical networks\uff09<\/span>\u3002\u6bcf\u4e2a\u6bcf\u65e5\u7f51\u7edc\u90fd\u5305\u542b\u5927\u57ce\u5e02\u7edf\u8ba1\u533a <\/span>\uff08Metropolitan Statistical Area \uff0cMSA\uff09<\/span> \u5185\u8857\u533a\u4e4b\u95f4\u7684\u79fb\u52a8\u6027\uff0c\u4ee5\u53ca\u8de8\u5927\u57ce\u5e02\u7edf\u8ba1\u533a\u7684\u957f\u9014\u8857\u533a\u95f4\u7684\u79fb\u52a8\u6027\u3002\u6211\u4eec\u68c0\u67e5\u4e86\u8fd9\u4e24\u4e2a\u7ea7\u522b\u7684\u6e17\u6d41\uff0c\u5e76\u5c55\u793a\u4e86\u5728\u65b0\u51a0\u75ab\u60c5\u7684\u5f71\u54cd\u4e0b\u7f51\u7edc\u5ea6\u91cf\u548c\u8fde\u901a\u7247\u7684\u53d8\u5316\u3002\u8be5\u7814\u7a76\u63ed\u793a\u4e86\u5373\u4f7f\u7f51\u7edc\u5177\u6709\u9ad8\u79fb\u52a8\u6027\u9608\u503c\uff0c\u4e5f\u5b58\u5728\u529f\u80fd\u5b50\u5355\u5143\u3002\u6700\u540e\uff0c\u6211\u4eec\u627e\u5230\u4e00\u7ec4\u5212\u5206\u8fde\u901a\u7247\u7684\u91cd\u590d\u5173\u952e\u94fe\u8def <\/span>\uff08recurrent critical links\uff09<\/span>\uff0c\u5b83\u4eec\u5bfc\u81f4\u6838\u5fc3\u5927\u57ce\u5e02\u7edf\u8ba1\u533a\u7684\u5206\u79bb\u3002\u6211\u4eec\u7684\u7814\u7a76\u7ed3\u679c\u4e3a\u7406\u89e3\u75ab\u60c5\u671f\u95f4\u79fb\u52a8\u7f51\u7edc\u7684\u52a8\u6001\u793e\u7fa4\u7ed3\u6784\u63d0\u4f9b\u4e86\u65b0\u7684\u89c1\u89e3\uff0c\u5e76\u6709\u52a9\u4e8e\u5728\u591a\u4e2a\u5c3a\u5ea6\u4e0a\u66f4\u6709\u6548\u5730\u63a7\u5236\u4f20\u67d3\u75c5\u3002<\/span><\/p>\n


<\/h3>\n

2.\u4e86\u89e3\u65b0\u51a0\u75ab\u60c5\u671f\u95f4\u79fb\u52a8\u6027\u7684\u7ec4\u6210\u90e8\u5206<\/span><\/strong><\/span><\/h3>\n


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\u8bba\u6587\u9898\u76ee\uff1aUnderstanding components of mobility during the COVID-19 pandemic<\/span><\/p>\n

\u4f5c\u8005\uff1aPeter Edsberg M\u00f8llgaard\uff0cSune Lehmann\uff0cLaura Alessandretti<\/span><\/p>\n

\u53d1\u8868\u65f6\u95f4\uff1a2021\u5e7411\u670822\u65e5<\/span><\/p>\n

\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/royalsocietypublishing.org\/doi\/10.1098\/rsta.2021.0118<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


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\u51fa\u884c\u9650\u5236\u5df2\u88ab\u8bc1\u660e\u662f\u63a7\u5236\u65b0\u51a0\u75ab\u60c5\u4f20\u64ad\u7684\u6709\u6548\u7b56\u7565\uff0c\u90e8\u5206\u539f\u56e0\u662f\u5b83\u6709\u52a9\u4e8e\u5ef6\u7f13\u75be\u75c5\u5728\u5404\u4e2a\u5730\u533a\u7684\u4f20\u64ad\u3002\u7136\u800c\uff0c\u5173\u4e8e\u4ece\u901a\u52e4\u5230\u5ea6\u5047\u76f8\u5173\u7684\u4e0d\u540c\u7c7b\u578b\u51fa\u884c\u884c\u4e3a\u5982\u4f55\u4fc3\u8fdb\u4f20\u67d3\u75c5\u4f20\u64ad\u7684\u95ee\u9898\u4ecd\u7136\u6ca1\u6709\u7b54\u6848\u3002\u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u4f7f\u7528\u56e0\u5f0f\u5206\u89e3\u6280\u672f\uff0c\u5c06\u63cf\u8ff02020\u5e74\u5168\u5e74\u79fb\u52a8\u6d41\u7684\u65f6\u5e8f\u7f51\u7edc\u5206\u89e3\u4e3a\u53ef\u89e3\u91ca\u7684\u7ec4\u5206\uff0c\u4ee5\u6b64\u89e3\u51b3\u8fd9\u4e2a\u95ee\u9898\u3002\u6211\u4eec\u7684\u7814\u7a76\u7ed3\u679c\u57fa\u4e8e\u4e24\u4e2a\u79fb\u52a8\u6570\u636e\u96c6\uff1a\u7b2c\u4e00\u4e2a\u6570\u636e\u96c6\u6765\u81ea\u4e39\u9ea6\u79fb\u52a8\u7f51\u7edc\u8fd0\u8425\u5546\uff1b\u7b2c\u4e8c\u4e2a\u6570\u636e\u96c6\u6765\u81ea Facebook \u7684 Data-For-Good \u9879\u76ee\u3002\u6211\u4eec\u53d1\u73b0\uff0c\u79fb\u52a8\u6a21\u5f0f\u53ef\u4ee5\u63cf\u8ff0\u4e3a\u4e09\u4e2a\u79fb\u52a8\u7f51\u7edc\u7ec4\u5206\u7684\u96c6\u5408\uff0c\u5206\u522b\u5bf9\u5e94\u4e8e\u5de5\u4f5c\u65e5\u3001\u5468\u672b\u548c\u8282\u5047\u65e5\u7684\u51fa\u884c\u3002\u6211\u4eec\u53d1\u73b0\uff0c\u5728\u4e25\u683c\u7684\u51fa\u884c\u9650\u5236\u671f\u95f4\uff0c\u5bf9\u5e94\u4e8e\u5de5\u4f5c\u65e5\u51fa\u884c\u7684\u7ec4\u5206\u5927\u5e45\u51cf\u5c11\uff0c\u5bf9\u5e94\u4e8e\u5468\u672b\u51fa\u884c\u7684\u7ec4\u5206\u5219\u589e\u52a0\u4e86\u3002\u6700\u540e\uff0c\u6211\u4eec\u901a\u8fc7\u6d4b\u91cf\u75be\u75c5\u5728\u4e24\u4e2a\u57ce\u5e02\u4e4b\u95f4\u7684\u6709\u6548\u4f20\u64ad\u8ddd\u79bb\uff0c\u6765\u7814\u7a76\u6bcf\u79cd\u7ec4\u5206\u7c7b\u578b<\/span>\uff08\u5de5\u4f5c\u65e5\u3001\u5468\u672b\u548c\u5047\u65e5\uff09<\/span>\u7684\u79fb\u52a8\u6027\u5982\u4f55\u5f71\u54cd\u4f20\u67d3\u75c5\u7684\u4f20\u64ad\u3002<\/span><\/p>\n


<\/h3>\n

3.\u6a21\u62df\u827e\u6ecb\u75c5\u6bd2\u5728\u4e2d\u56fd\u5e7f\u4e1c\u7537\u7537\u6027\u63a5\u89e6\u8005\u4e2d\u7684\u5730\u7406\u4f20\u64ad\uff1a\u8003\u8651\u66b4\u9732\u524d\u9884\u9632\u7528\u836f\u5f71\u54cd\u7684\u96c6\u5408\u79cd\u7fa4\u6a21\u578b<\/span><\/strong><\/span><\/h3>\n


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\u8bba<\/span>\u6587\u9898\u76ee\uff1aModelling the geographical spread of HIV among MSM in Guangdong, China\uff1aa metapopulation model considering the impact of pre-exposure prophylaxis<\/span><\/p>\n

\u4f5c\u8005\uff1aFengshi Jing\uff0cYang Ye\uff0cYi Zhou\uff0cHanchu Zhou\uff0cZhongzhi Xu\uff0cYing Lu\uff0cXiaoyu Tao\uff0cShujuan Yang\uff0cWeibin Cheng\uff0cJunzhang Tian\uff0cWeiming Tang\uff0cDan Wu<\/span><\/p>\n

\u53d1\u8868\u65f6\u95f4\uff1a2021\u5e7411\u670822\u65e5<\/span><\/p>\n

\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/royalsocietypublishing.org\/doi\/10.1098\/rsta.2021.0126<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


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\u5728\u4e2d\u56fd\u5e74\u8f7b\u4eba\u4e2d\uff0c\u7537\u7537\u6027\u884c\u4e3a\u5360\u636e\u827e\u6ecb\u75c5\u8bca\u65ad\u4e2d\u7684\u7edd\u5927\u90e8\u5206\u3002\u56e0\u6b64\uff0c\u4e86\u89e3\u7537\u7537\u6027\u63a5\u89e6\u8005\u4e4b\u95f4\u827e\u6ecb\u75c5\u6bd2\u7684\u4f20\u64ad\u52a8\u529b\u5b66\u5bf9\u4e8e\u63a7\u5236\u548c\u9884\u9632\u827e\u6ecb\u75c5\u6bd2\u611f\u67d3\u81f3\u5173\u91cd\u8981\uff0c\u7279\u522b\u662f\u5bf9\u4e8e\u4e00\u4e9b\u65b0\u62a5\u9053\u7684\u827e\u6ecb\u75c5\u6bd2\u57fa\u56e0\u578b\u3002\u672c\u7814\u7a76\u63d0\u51fa\u4e86\u4e00\u4e2a\u8003\u8651\u66b4\u9732\u524d\u9884\u9632\u7528\u836f\u5f71\u54cd\u7684\u96c6\u5408\u79cd\u7fa4\u6a21\u578b\uff0c\u4ee5\u8c03\u67e5\u5047\u8bbe\u7684HIV\u65b0\u57fa\u56e0\u578b\u5728\u4e2d\u56fd\u5e7f\u4e1c\u7701\u7537\u7537\u6027\u63a5\u89e6\u4eba\u7fa4\u4e2d\u7684\u5730\u7406\u4f20\u64ad\u3002\u6211\u4eec\u4f7f\u7528\u591a\u4e2a\u6570\u636e\u6e90<\/span>\uff08\u5305\u62ec\u901a\u8fc7\u540c\u6027\u604b\u793e\u4ea4\u7f51\u7edc\u5e94\u7528\u7684\u5728\u7ebf\u793e\u4ea4\u7f51\u7edc\uff0c\u901a\u8fc7\u767e\u5ea6\u79fb\u52a8\u7f51\u7ad9\u7684\u79bb\u7ebf\u4eba\u7c7b\u79fb\u52a8\u7f51\u7edc\uff0c\u4ee5\u53ca\u7537\u7537\u6027\u63a5\u89e6\u8005\u6027\u884c\u4e3a\u81ea\u6211\u62a5\u544a\uff09<\/span>\u6765\u6784\u5efa\u8be5\u6a21\u578b\uff0c\u63cf\u8ff0\u4e86\u827e\u6ecb\u75c5\u6bd2\u5728\u5e7f\u4e1c\u770121\u4e2a\u5730\u7ea7\u5e02<\/span>\uff08\u5373\u5e7f\u5dde\u3001\u6df1\u5733\u3001\u4f5b\u5c71\u7b49\uff09<\/span>\u5185\u90e8\u548c\u4e4b\u95f4\u4f20\u64ad\u7684\u884c\u4e3a\u52a8\u529b\u5b66\u7279\u5f81\u3002\u7ed3\u679c\u663e\u793a\uff0c\u66b4\u9732\u524d\u9884\u9632\u7528\u836f\u7684\u542f\u52a8\u6210\u6307\u6570\u91cf\u7ea7\u5730\u5ef6\u8fdf\u4e86\u4ece\u6700\u521d\u7206\u53d1\u57ce\u5e02\u4f20\u64ad\u7684\u75c5\u6bd2\u5728\u5176\u4ed6\u57ce\u5e02\u7684\u53d1\u751f\uff1b\u79fb\u52a8\u7f51\u7edc\u7684\u67a2\u7ebd\uff0c\u5982\u5e7f\u5dde\u3001\u6df1\u5733\u548c\u4f5b\u5c71\u6709\u66f4\u9ad8\u7684\u98ce\u9669\u201c\u6700\u65e9\u201d\u63a5\u89e6\u5230\u65b0\u7684\u827e\u6ecb\u75c5\u6bd2\u57fa\u56e0\u578b\uff1b\u5927\u591a\u6570\u57ce\u5e02\u76f4\u63a5\u4ece\u6700\u521d\u7206\u53d1\u7684\u57ce\u5e02\u83b7\u5f97\u75c5\u6bd2\uff0c\u800c\u5176\u5b83\u57ce\u5e02\u5219\u4ece\u975e\u6700\u521d\u7206\u53d1\u5730\u70b9\u4f46\u4ecb\u6570\u4e2d\u5fc3\u6027<\/span>\uff08betweenness centralities\uff09<\/span>\u76f8\u5bf9\u8f83\u9ad8\u7684\u57ce\u5e02<\/span>\uff08\u5982\u5e7f\u5dde\u3001\u6df1\u5733\u548c\u6c55\u5934\uff09<\/span>\u83b7\u5f97\u75c5\u6bd2\u3002\u672c\u7814\u7a76\u4e3a\u9884\u6d4b\u4e0d\u540c\u5730\u533a\u7537\u7537\u6027\u63a5\u89e6\u8005\u827e\u6ecb\u75c5\u65b0\u57fa\u56e0\u578b\u7684\u5730\u7406\u5206\u5e03\u53ca\u8bc4\u4f30\u5730\u7ea7\u5e02\u5728\u5e7f\u4e1c\u7701\u827e\u6ecb\u75c5\u9632\u6cbb\u5de5\u4f5c\u4e2d\u7684\u91cd\u8981\u6027\u63d0\u4f9b\u4e86\u7406\u8bba\u4f9d\u636e\u3002<\/span><\/p>\n


<\/h3>\n

4.\u5bf9\u65b0\u51a0\u75ab\u60c5\u4e0d\u540c\u4e25\u91cd\u7a0b\u5ea6\u7684\u884c\u4e3a\u54cd\u5e94\u53ef\u4ee5\u89e3\u91ca\u4e0d\u540c\u5e74\u9f84\u7ec4\u75c5\u4f8b\u7684\u65f6\u95f4\u53d8\u5316<\/span><\/strong><\/span><\/h3>\n


<\/p>\n

\u200d\u200d\u200d\u200d<\/span><\/p>\n

\n
\n
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\u8bba<\/span>\u6587\u9898\u76ee\uff1aBehavioural response to heterogeneous severity of COVID-19 explains temporal variation of cases among different age groups<\/span><\/p>\n

\u4f5c\u8005\uff1aBenjamin Steinegger\uff0cLlu\u00eds Arola-Fern\u00e1ndez\uff0cClara Granell\uff0cJes\u00fas G\u00f3mez-Garde\u00f1es\uff0cAlex Arenas<\/span><\/p>\n

\u53d1\u8868\u65f6\u95f4\uff1a2021\u5e7411\u670822\u65e5<\/span><\/p>\n

\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/royalsocietypublishing.org\/doi\/10.1098\/rsta.2021.0119<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


<\/section>\n

\u968f\u7740\u9884\u9632\u63aa\u65bd\u7684\u9010\u6e10\u653e\u677e\uff0c\u518d\u52a0\u4e0a\u8bf1\u53d1\u5ba4\u5916\u6216\u5ba4\u5185\u6d3b\u52a8\u7684\u5b63\u8282\u6027\u5f71\u54cd\uff0c\u5404\u56fd\u51fa\u73b0\u4e86\u7b2c\u4e8c\u6ce2\u548c\u7b2c\u4e09\u6ce2\u65b0\u51a0\u75ab\u60c5\u3002\u6709\u8da3\u7684\u662f\uff0c\u6570\u636e\u8868\u660e\uff0c\u5728\u4f4e\u60a3\u75c5\u7387\u65f6\u671f\uff0c\u8001\u5e74\u4eba\u611f\u67d3\u7684\u6bd4\u4f8b\u7279\u522b\u5c0f\uff0c\u800c\u968f\u7740\u75c5\u4f8b\u6570\u91cf\u7684\u589e\u52a0\uff0c\u8001\u5e74\u4eba\u611f\u67d3\u7387\u4e0d\u65ad\u589e\u52a0\u3002\u8fd9\u79cd\u5f71\u54cd\u5bfc\u81f4\u4e86\u9ad8\u60a3\u75c5\u7387\u671f\u95f4\uff0c\u536b\u751f\u4fdd\u5065\u7cfb\u7edf\u5c06\u4f1a\u9762\u4e34\u989d\u5916\u7684\u538b\u529b\u3002\u6b64\u5916\uff0c\u4e0e\u5e74\u8f7b\u4eba\u76f8\u6bd4\uff0c\u8001\u5e74\u4eba\u7684\u611f\u67d3\u9ad8\u5cf0\u671f\u5b58\u5728\u7ea6\u4e00\u5468\u7684\u5ef6\u8fdf\u73b0\u8c61\u3002\u5728\u6b64\uff0c\u6211\u4eec\u5bf9\u8fd9\u79cd\u73b0\u8c61\u63d0\u4f9b\u4e86\u4e00\u4e2a\u673a\u5236\u89e3\u91ca\uff0c\u5c06\u5176\u5f52\u56e0\u4e8e\u4e0d\u540c\u5e74\u9f84\u53d7\u75ab\u60c5\u5f71\u54cd\u7a0b\u5ea6\u4e0d\u540c\u8bf1\u5bfc\u7684\u5f02\u8d28\u9884\u9632\u3002\u6211\u4eec\u901a\u8fc7\u4e00\u4e2a\u53cc\u7b56\u7565\u535a\u5f08\u5efa\u7acb\u4e86\u5b9e\u65bd\u9884\u9632\u7684\u52a8\u529b\u5b66\u6a21\u578b\uff0c\u5e76\u5c06\u5176\u4e0eSIR\u4f20\u64ad\u6a21\u578b\u76f8\u7ed3\u5408\u3002\u6211\u4eec\u7684\u7814\u7a76\u7ed3\u679c\u8fd8\u8868\u660e\uff0c\u5e74\u9f84\u7ec4\u95f4\u63a5\u89e6\u8005\u7684\u6df7\u5408\u51b3\u5b9a\u4e86\u5176\u60a3\u75c5\u9ad8\u5cf0\u4e0e\u75c5\u4f8b\u5206\u5e03\u7684\u65f6\u95f4\u53d8\u5316\u4e4b\u95f4\u7684\u5ef6\u8fdf\u3002<\/span><\/p>\n


<\/h3>\n

5.\u5173\u95ed\u5b66\u6821\u5bf9\u51cf\u5c11\u65b0\u51a0\u75ab\u60c5\u4f20\u64ad\u5f71\u54cd\u7684\u5168\u7403\u8bc4\u4f30<\/span><\/strong><\/span><\/h3>\n
\n


<\/p>\n<\/section>\n

\n
\n
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\u8bba\u6587\u9898\u76ee\uff1aA global assessment of the impact of school closure in reducing COVID-19 spread<\/span><\/p>\n

\u4f5c\u8005\uff1aJoseph T. Wu\uff0cShujiang Mei\uff0cSihui Luo\uff0cKathy Leung\uff0cDi Liu\uff0cQiuying Lv\uff0cJian Liu\uff0cYuan Li\uff0cKiesha Prem\uff0cMark Jit\uff0cJianping Weng\uff0cTiejian Feng\uff0cXueying Zheng\uff0cGabriel M. Leung<\/span><\/p>\n

\u53d1\u8868\u65f6\u95f4\uff1a2021\u5e7411\u670822\u65e5<\/span><\/p>\n

\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/royalsocietypublishing.org\/doi\/10.1098\/rsta.2021.0124<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


<\/section>\n

\u4e3a\u4e86\u63a7\u5236\u65b0\u51a0\u75ab\u60c5\uff0c\u4e16\u754c\u5404\u5730\u90fd\u91c7\u53d6\u4e86\u5ef6\u957f\u5b66\u6821\u5173\u95ed\u65f6\u95f4\u7684\u505a\u6cd5\u3002\u4e8b\u5b9e\u4e0a\uff0c\u8054\u5408\u56fd\u6559\u80b2\u3001\u79d1\u5b66\u53ca\u6587\u5316\u7ec4\u7ec7\u7684\u6570\u636e\u663e\u793a\uff0c\u7531\u4e8e\u5b66\u6821\u5173\u95ed\uff0c\u5168\u4e16\u754c\u5e73\u5747\u635f\u5931\u4e86\u4e09\u5206\u4e4b\u4e8c\u4e2a\u5b66\u5e74\u3002\u8fd9\u79cd\u5148\u53d1\u7684\u63aa\u65bd\u662f\u57fa\u4e8e\u8fd9\u6837\u4e00\u4e2a\u524d\u63d0\uff0c\u5373\u5b66\u751f\u662f\u65b0\u51a0\u75ab\u60c5\u4f20\u64ad\u7684\u6838\u5fc3\u7fa4\u4f53\u3002\u6839\u636e\u4e2d\u56fd\u6df1\u5733\u548c\u5b89\u5e86\u7684\u76d1\u6d4b\u6570\u636e\uff0c\u6211\u4eec\u63a8\u65ad\uff0c\u4e0e60\u5c81\u53ca\u4ee5\u4e0a\u7684\u8001\u5e74\u4eba\u76f8\u6bd4\uff0c18\u5c81\u53ca\u4ee5\u4e0b\u7684\u513f\u7ae5\u548c19-59\u5c81\u7684\u6210\u5e74\u4eba\u5bf9\u611f\u67d3\u7684\u6613\u611f\u6027\u5206\u522b\u8981\u4f4e75%\u548c32%\u3002\u901a\u8fc7\u7efc\u5408\u5168\u7403177\u4e2a\u53f8\u6cd5\u8f96\u533a\u7684\u63a5\u89e6\u77e9\u9635\u53c2\u6570\u5316\u540e\u7684\u4f20\u64ad\u6a21\u578b\uff0c\u6211\u4eec\u8868\u660e\uff0c\u5b66\u751f\u8f83\u4f4e\u7684\u6613\u611f\u6027\u5927\u5927\u9650\u5236\u4e86\u5173\u95ed\u5b66\u6821\u5bf9\u964d\u4f4e\u65b0\u51a0\u75ab\u60c5\u4f20\u64ad\u7387\u7684\u6709\u6548\u6027\u3002\u6211\u4eec\u7684\u7814\u7a76\u7ed3\u679c\uff0c\u8fde\u540c\u6700\u8fd1\u6307\u51fa\u513f\u7ae5\u65b0\u51a0\u75ab\u60c5\u7684\u4e34\u5e8a\u4e25\u91cd\u7a0b\u5ea6\u8f83\u4f4e\u7684\u7814\u7a76\uff0c\u8868\u660e\u5173\u95ed\u5b66\u6821\u53ef\u80fd\u4e0d\u662f\u63a7\u5236\u65b0\u51a0\u75ab\u60c5\u7684\u7406\u60f3\u5e72\u9884\u63aa\u65bd\u3002<\/span><\/p>\n


<\/span><\/h3>\n

6.\u4e0d\u5747\u8861\u7684\u5f71\u54cd\u548c\u7a7a\u95f4\u805a\u96c6\u626d\u66f2\u4e86\u65b0\u51a0\u75ab\u60c5\u7684\u589e\u957f\u7387<\/span><\/strong><\/span><\/h3>\n


<\/span><\/strong><\/span><\/p>\n

\n
\n
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\u8bba\u6587\u9898\u76ee\uff1aUnequal impact and spatial aggregation distort COVID-19 growth rates<\/span><\/p>\n

\u4f5c\u8005\uff1aKeith Burghardt\uff0cSiyi Guo\uff0cKristina Lerman<\/span><\/p>\n

\u53d1\u8868\u65f6\u95f4\uff1a2021\u5e7411\u670822\u65e5<\/span><\/p>\n

\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/royalsocietypublishing.org\/doi\/10.1098\/rsta.2021.0122<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


<\/p>\n

\u65b0\u51a0\u75ab\u60c5\u75ab\u60c5\u5bf9\u5168\u4e16\u754c\u7684\u516c\u5171\u536b\u751f\u63d0\u51fa\u4e86\u524d\u6240\u672a\u6709\u7684\u6311\u6218\u3002\u4e3a\u4e86\u5236\u5b9a\u5e94\u5bf9\u7b56\u7565\u5e76\u4e86\u89e3\u75be\u75c5\u52a8\u529b\u5b66\uff0c\u51b3\u7b56\u8005\u548c\u4f20\u67d3\u75c5\u5b66\u5bb6\u5fc5\u987b\u4e86\u89e3\u75be\u75c5\u662f\u5982\u4f55\u5728\u793e\u7fa4\u4f20\u64ad\u7684\u3002\u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u5206\u6790\u4e86\u591a\u4e2a\u5730\u7406\u5c3a\u5ea6\u4e0a\u786e\u5b9a\u7684\u611f\u67d3\u6570\u548c\u6b7b\u4ea1\u6570\uff0c\u53d1\u73b0\u65b0\u51a0\u75ab\u60c5\u7684\u5f71\u54cd\u662f\u9ad8\u5ea6\u4e0d\u5747\u8861\u7684\uff1a\u8bb8\u591a\u5730\u533a\u51e0\u4e4e\u6ca1\u6709\u611f\u67d3\uff0c\u800c\u5176\u5b83\u5730\u533a\u5219\u662f\u611f\u67d3\u70ed\u70b9\u3002\u6211\u4eec\u628a\u8fd9\u79cd\u6548\u5e94\u5f52\u56e0\u4e8e\u4e00\u79cdReed\u2013Hughes\u5f0f\u7684\u673a\u5236\uff0c\u5373\u75be\u75c5\u5728\u4e0d\u540c\u65f6\u95f4\u5230\u8fbe\u4e0d\u540c\u5730\u533a\uff0c\u5e76\u4ee5\u4e0d\u540c\u901f\u5ea6\u5448\u6307\u6570\u589e\u957f\u3002\u589e\u957f\u8f83\u5feb\u7684\u533a\u57df\u5bf9\u5e94\u7684\u70ed\u70b9\u5728\u7a7a\u95f4\u4e0a\u5360\u7edf\u8ba1\u4e3b\u5bfc\u5730\u4f4d\uff0c\u4ece\u800c\u5728\u66f4\u5927\u7684\u7a7a\u95f4\u5c3a\u5ea6\u4e0a\u626d\u66f2\u589e\u957f\u7387\u3002\u6700\u540e\uff0c\u6211\u4eec\u4f7f\u7528\u8fd9\u4e9b\u5206\u6790\u6765\u8868\u660e\uff0c\u5728\u4e0d\u540c\u7a7a\u95f4\u5c3a\u5ea6\u4e0a\uff0c\u65b0\u51a0\u75ab\u60c5\u7684\u589e\u957f\u589e\u957f\u7387\u6bcf\u6b21\u6fc0\u589e\u540e\u90fd\u6709\u6240\u51cf\u7f13\u3002\u8fd9\u4e9b\u7ed3\u679c\u8868\u660e\u4e86\u5728\u4f30\u8ba1\u589e\u957f\u7387\u65f6\u7684\u4e00\u79cd\u6743\u8861\uff1a\u867d\u7136\u7a7a\u95f4\u805a\u96c6\u964d\u4f4e\u4e86\u566a\u58f0\uff0c\u4f46\u53ef\u80fd\u589e\u52a0\u504f\u5dee\u3002\u516c\u5171\u653f\u7b56\u548c\u4f20\u67d3\u75c5\u6a21\u578b\u5e94\u8ba4\u8bc6\u5230\u8fd9\u79cd\u504f\u5dee\uff0c\u5e76\u529b\u6c42\u89e3\u51b3\u8fd9\u79cd\u504f\u5dee\u3002<\/span><\/p>\n


<\/h3>\n

7.\u5229\u7528\u968f\u65f6\u95f4\u53d8\u5316\u7684\u6709\u6548\u63a5\u89e6\u7387\u6821\u6b63\u65b0\u51a0\u75ab\u60c5\u7684SEIR\u6a21\u578b<\/span><\/strong><\/span><\/h3>\n


<\/span><\/strong><\/span><\/p>\n

\n
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\u8bba\u6587\u9898\u76ee\uff1aCalibrating COVID-19 susceptible-exposed-infected-removed models with time-varying effective contact rates<\/span><\/p>\n

\u4f5c\u8005\uff1aJames P. Gleeson\uff0cThomas Brendan Murphy\uff0cJoseph D. O\u2019Brien\uff0cNial Friel\uff0cNorma Bargary\uff0cDavid J. P. O’Sullivan<\/span><\/p>\n

\u53d1\u8868\u65f6\u95f4\uff1a2021\u5e7411\u670822\u65e5<\/span><\/p>\n

\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/royalsocietypublishing.org\/doi\/10.1098\/rsta.2021.0120<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


<\/p>\n

\u6211\u4eec\u63cf\u8ff0\u4e86\u7531\u7231\u5c14\u5170\u4f20\u67d3\u75c5\u5b66\u5efa\u6a21\u54a8\u8be2\u5c0f\u7ec4 <\/span>\uff08Irish Epidemiological Modelling Advisory Group \uff0cIEMAG\uff09<\/span> \u5f00\u53d1\u7684\u57fa\u4e8e\u4eba\u7fa4\u7684\u6613\u611f-\u66b4\u9732-\u611f\u67d3-\u79fb\u9664 <\/span>\uff08susceptible-exposed-infected-removed \uff0cSEIR\uff09<\/span> \u6a21\u578b\uff0c\u8be5\u5c0f\u7ec4\u5c31\u65b0\u51a0\u75ab\u60c5\u5411\u7231\u5c14\u5170\u653f\u5e9c\u63d0\u4f9b\u5efa\u8bae\u3002\u8be5\u6a21\u578b\u5047\u8bbe\u4e00\u4e2a\u968f\u65f6\u95f4\u53d8\u5316\u7684\u6709\u6548\u63a5\u89e6\u7387<\/span>\uff08\u76f8\u5f53\u4e8e\u4e00\u4e2a\u968f\u65f6\u95f4\u53d8\u5316\u7684\u518d\u751f\u6570\uff09<\/span>\u6765\u6a21\u62df\u975e\u836f\u7269\u5e72\u9884\u7684\u6548\u679c\u3002\u5e94\u7528\u6b64\u7c7b\u6a21\u578b\u7684\u4e00\u4e2a\u5173\u952e\u6280\u672f\u6311\u6218\u662f\u5bf9\u89c2\u6d4b\u6570\u636e<\/span>\uff08\u5982\u6bcf\u65e5\u786e\u8bca\u7684\u65b0\u75c5\u4f8b\u6570\uff09<\/span>\u8fdb\u884c\u6821\u6b63\uff0c\u56e0\u4e3a\u75be\u75c5\u7684\u5386\u53f2\u5bf9\u672a\u6765\u60c5\u666f\u7684\u9884\u6d4b\u7ed3\u679c\u5177\u6709\u5f3a\u70c8\u5f71\u54cd\u3002\u6211\u4eec\u5c55\u793a\u4e86\u4e00\u79cd\u57fa\u4e8e SEIR \u65b9\u7a0b\u53cd\u6f14\u7684\u65b9\u6cd5\uff0c\u7ed3\u5408\u6570\u636e\u7684\u7edf\u8ba1\u5efa\u6a21\u548c\u6837\u6761\u62df\u5408\u6cd5\uff0c\u4ee5\u4ea7\u751f\u4e00\u79cd\u9c81\u68d2\u7684\u65b9\u6cd5\u6765\u6821\u6b63\u8fd9\u79cd\u7c7b\u578b\u7684\u6a21\u578b\u3002<\/span><\/p>\n


<\/h3>\n

8.\u4f20\u67d3\u75c5\u76d1\u6d4b\u9762\u4e34\u7684\u4e00\u4e9b\u57fa\u672c\u6311\u6218<\/span><\/strong><\/span><\/h3>\n


<\/p>\n

\n
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\u8bba\u6587\u9898\u76ee\uff1aOn some fundamental challenges in monitoring epidemics<\/span><\/p>\n

\u4f5c\u8005\uff1aVaiva Vasiliauskaite\uff0cNino Antulov-Fantulin\uff0cDirk Helbing<\/span><\/p>\n

\u53d1\u8868\u65f6\u95f4\uff1a2021\u5e7411\u670822\u65e5<\/span><\/p>\n

\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/royalsocietypublishing.org\/doi\/10.1098\/rsta.2021.0117<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


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\u4f20\u67d3\u75c5\u6a21\u578b\u901a\u5e38\u901a\u8fc7\u8003\u8651\u4e0d\u540c\u5065\u5eb7\u72b6\u6001<\/span>\uff08\u5982\u6613\u611f\u3001\u611f\u67d3\u6216\u5eb7\u590d\uff09<\/span>\u7684\u8026\u5408\u975e\u7ebf\u6027\u5fae\u5206\u65b9\u7a0b\uff0c\u6765\u53cd\u6620\u4f20\u67d3\u75c5\u4f20\u64ad\u8fc7\u7a0b\u7684\u7279\u5f81\u3002\u7136\u800c\uff0c\u8fd9\u79cd\u5206\u533a\u5efa\u6a21\u65b9\u6cd5\u63d0\u4f9b\u7684\u662f\u5bf9\u4f20\u67d3\u75c5\u52a8\u529b\u5b66\u7684\u4e0d\u5b8c\u6574\u63cf\u8ff0\uff0c\u56e0\u4e3a\u5b83\u5ffd\u7565\u4e86\u968f\u673a\u6548\u5e94\u548c\u7f51\u7edc\u6548\u5e94\uff0c\u4ee5\u53ca\u6d4b\u91cf\u8fc7\u7a0b\u672c\u8eab\u7684\u5f71\u54cd\uff0c\u5c24\u5176\u8003\u8651\u5230\u4f20\u67d3\u75c5\u5b66\u53c2\u6570\u548c\u53d1\u75c5\u7387\u7684\u4f30\u8ba1\u4f9d\u8d56\u4e8e\u6d4b\u91cf\u8fc7\u7a0b\u3002\u4e3a\u4e86\u7814\u7a76\u76f8\u5173\u95ee\u9898\uff0c\u6211\u4eec\u5c06\u5efa\u7acb\u7684\u4f20\u67d3\u75c5\u4f20\u64ad\u6a21\u578b\u4e0e\u6d4b\u8bd5\u8fc7\u7a0b\u7684\u6d4b\u91cf\u6a21\u578b\u76f8\u7ed3\u5408\uff0c\u8003\u8651\u5230\u5047\u9633\u6027\u548c\u5047\u9634\u6027\u4ee5\u53ca\u6709\u504f\u62bd\u6837\u7684\u95ee\u9898\u3002\u7ed3\u5408\u6a21\u62df\u89c2\u5bdf\u8fc7\u7a0b<\/span>\uff08\u865a\u62df\u6d4b\u91cf\uff09<\/span>\u7814\u7a76\u6a21\u578b\u751f\u6210\u7684\u57fa\u51c6\u771f\u503c\uff0c\u53ef\u4ee5\u8ba9\u4eba\u4eec\u5728\u8bc4\u4f30\u4f20\u67d3\u75c5\u65f6\u6df1\u5165\u4e86\u89e3\u7eaf\u6570\u636e\u9a71\u52a8\u65b9\u6cd5\u7684\u57fa\u672c\u5c40\u9650\u6027\u3002\u6211\u4eec\u7684\u7ed3\u8bba\u662f\uff0c\u4f20\u67d3\u75c5\u76d1\u6d4b\u3001\u6a21\u62df\u548c\u9884\u6d4b\u662f\u975e\u5e38\u68d8\u624b\u7684\u95ee\u9898\uff0c\u56e0\u4e3a\u5c06\u4f20\u7edf\u7684\u6570\u636e\u9a71\u52a8\u65b9\u6cd5\u5e94\u7528\u4e8e\u5177\u6709\u975e\u7ebf\u6027\u52a8\u529b\u5b66\u3001\u7f51\u7edc\u6548\u5e94\u548c\u4e0d\u786e\u5b9a\u6027\u7684\u590d\u6742\u7cfb\u7edf\u53ef\u80fd\u4f1a\u4ea7\u751f\u8bef\u5bfc\u3002\u5c3d\u7ba1\u5982\u6b64\uff0c\u4f7f\u7528\u4f20\u64ad\u52a8\u529b\u5b66\u548c\u6d4b\u91cf\u8fc7\u7a0b\u7684\u79d1\u5b66\u77e5\u8bc6\uff0c\u53ef\u4ee5\u7ea0\u6b63\u4e00\u4e9b\u9519\u8bef\u3002\u6211\u4eec\u5f97\u51fa\u7684\u7ed3\u8bba\u662f\uff0c\u6b64\u7c7b\u4fee\u6b63\u5e94\u6210\u4e3a\u4f20\u67d3\u75c5\u76d1\u6d4b\u3001\u5efa\u6a21\u548c\u9884\u6d4b\u5de5\u4f5c\u7684\u4e00\u90e8\u5206\u3002<\/span><\/p>\n


<\/h3>\n

9.\u57fa\u4e8e\u519c\u6751\u793e\u533a\u4eba\u53e3\u6c34\u5e73\u52a0\u6743\u793e\u4ea4\u7f51\u7edc\u7684\u8d85\u7ea7\u4f20\u64ad\u8005\u7279\u5f81\u7814\u7a76<\/span><\/strong><\/span><\/h3>\n


<\/span><\/strong><\/span><\/p>\n

\n
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\u8bba\u6587\u9898\u76ee\uff1aCharacterizing super-spreaders using population-level weighted social networks in rural communities<\/span><\/p>\n

\u4f5c\u8005\uff1aShivkumar Vishnempet Shridhar\uff0cMarcus Alexander\uff0cNicholas A. Christakis<\/span><\/p>\n

\u53d1\u8868\u65f6\u95f4\uff1a2021\u5e7411\u670822\u65e5<\/span><\/p>\n

\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/royalsocietypublishing.org\/doi\/10.1098\/rsta.2021.0123<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


<\/p>\n

\u6574\u4e2a\u4eba\u53e3\u7684\u793e\u4ea4\u4e2d\u5fc3\u7f51\u7edc\u5730\u56fe\u4e0e\u5173\u4e8e\u7ec4\u6210\u4e8c\u5143\u5173\u7cfb\u6027\u8d28\u7684\u6570\u636e\u76f8\u7ed3\u5408\uff0c\u80fd\u591f\u4fc3\u8fdb\u6211\u4eec\u5bf9\u7f51\u7edc\u4e0e\u75be\u75c5\u4f20\u64ad\u76f8\u5173\u6027\u7684\u7406\u89e3\uff0c\u5e76\u6539\u8fdb\u4f20\u67d3\u75c5\u7684\u9884\u6d4b\u3002\u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u4f7f\u7528 4 \u5e74\u6765\u5728\u6d2a\u90fd\u62c9\u65af 176 \u4e2a\u6751\u5e84\u7684 24702\u4eba\u4e2d\u6536\u96c6\u7684\u8be6\u7ec6\u7684\u793e\u4ea4\u4e2d\u5fc3\u6570\u636e\uff0c\u4ee5\u53ca\u8179\u6cfb\u548c\u547c\u5438\u9053\u75be\u75c5\u7684\u60a3\u75c5\u7387\uff0c\u521b\u5efa\u4e86\u4e00\u4e2a\u793e\u4ea4\u7f51\u7edc\u9a71\u52a8\u7684\u4f20\u64ad\u6a21\u578b\uff0c\u786e\u5b9a\u4e86\u8d85\u7ea7\u4f20\u64ad\u8282\u70b9\uff0c\u5e76\u4f7f\u7528\u57fa\u4e8e\u4e3b\u4f53\u7684\u8499\u7279\u5361\u7f57\u7f51\u7edc\u6a21\u62df\uff0c\u8bc6\u522b\u51fa\u6700\u5bb9\u6613\u53d7\u5230\u611f\u67d3\u7684\u8282\u70b9\u3002\u6211\u4eec\u6839\u636e\u8be6\u7ec6\u7684\u793e\u4ea4\u4e92\u52a8\u6a21\u5f0f\u9884\u6d4b\u4f20\u67d3\u75c5\u7206\u53d1\u7684\u7a0b\u5ea6\u3002\u6765\u81ea\u8179\u6cfb\u548c\u547c\u5438\u7cfb\u7edf\u75be\u75c5\u7684\u4e09\u6b21\u4eba\u7fa4\u6c34\u5e73\u8c03\u67e5\u7684\u8bc1\u636e\u8868\u660e\uff0c\u8ba1\u7b97\u51fa\u7684\u5355\u4e2a\u8282\u70b9\u7684\u8d85\u7ea7\u4f20\u64ad\u80fd\u529b\u548c\u5176\u76f8\u5bf9\u8106\u5f31\u6027\u4e4b\u95f4\u5b58\u5728\u6b63\u76f8\u5173\u3002\u5148\u524d\u7684\u7814\u7a76\u5df2\u7ecf\u901a\u8fc7\u56de\u6eaf\u63a5\u89e6\u8005\u8ffd\u8e2a\u6216\u6a21\u62df\u7f51\u7edc\u8bc6\u522b\u51fa\u8d85\u7ea7\u4f20\u64ad\u8005\u3002\u76f8\u6bd4\u4e4b\u4e0b\uff0c\u6211\u4eec\u7684\u6a21\u62df\u9884\u6d4b\uff0c\u4e00\u4e2a\u8282\u70b9\u7684\u8d85\u7ea7\u4f20\u64ad\u80fd\u529b\u53ca\u5176\u5728\u771f\u5b9e\u793e\u7fa4\u4e2d\u7684\u8106\u5f31\u6027\u53d7\u5230\u591a\u79cd\u56e0\u7d20\u7684\u5f71\u54cd\uff0c\u5982\u8282\u70b9\u7684\u8fde\u63a5\u53ca\u8fde\u63a5\u4e4b\u95f4\u4ea4\u4e92\u7684\u6027\u8d28\u3001\u5f71\u54cd\u4e2a\u4f53\u4f20\u64ad\u75c5\u539f\u4f53\u80fd\u529b\u7684\u7279\u5f81<\/span>\uff08\u4f8b\u5982\u5e74\u9f84\u548c\u6027\u522b\uff09<\/span>\uff0c\u4ee5\u53ca\u75c5\u539f\u4f53\u7684\u5185\u5728\u7279\u5f81<\/span>\uff08\u4f8b\u5982\u5904\u4e8e\u611f\u67d3\u671f\u548c\u6f5c\u4f0f\u671f\uff09<\/span>\u3002<\/span><\/p>\n


<\/h3>\n

10.\u4eba\u7fa4\u4e2d\u65b0\u51a0\u75ab\u60c5\u6d4b\u8bd5\u7684\u7edf\u8ba1\u6a21\u578b\uff1a\u62bd\u6837\u504f\u5dee\u548c\u6d4b\u8bd5\u8bef\u5dee\u7684\u5f71\u54cd<\/span><\/strong><\/span><\/h3>\n


<\/p>\n

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\u8bba\u6587\u9898\u76ee\uff1aA statistical model of COVID-19 testing in populations: effects of sampling bias andtesting errors<\/span><\/p>\n

\u4f5c\u8005\uff1aLucas B\u00f6ttcher\uff0cMaria R. D’Orsogna\uff0cTom Chou<\/span><\/p>\n

\u53d1\u8868\u65f6\u95f4\uff1a2021\u5e7411\u670822\u65e5<\/span><\/p>\n

\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/royalsocietypublishing.org\/doi\/10.1098\/rsta.2021.0121<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


<\/p>\n

\u6211\u4eec\u5f00\u53d1\u4e86\u4e00\u4e2a\u7edf\u8ba1\u6a21\u578b\u6765\u6d4b\u8bd5\u4eba\u7fa4\u4e2d\u7684\u60a3\u75c5\u7387\u3002\u8be5\u6a21\u578b\u6d4b\u8bd5\u7ed3\u679c\u4e3a\u4e8c\u5143\u503c<\/span>\uff08\u6b63\u6216\u8d1f\uff09<\/span>\uff0c\u4f46\u5141\u8bb8\u6837\u672c\u9009\u62e9\u5b58\u5728\u504f\u5dee\uff0c\u4ee5\u53ca I \u578b<\/span>\uff08\u5047\u9633\u6027\uff09<\/span>\u548c II \u578b<\/span>\uff08\u5047\u9634\u6027\uff09<\/span>\u6d4b\u8bd5\u8bef\u5dee\u3002\u6211\u4eec\u7684\u6a21\u578b\u8fd8\u5305\u542b\u591a\u79cd\u6d4b\u8bd5\u7c7b\u578b\uff0c\u5e76\u4e14\u80fd\u591f\u533a\u5206\u91cd\u65b0\u6d4b\u8bd5\u548c\u672a\u6d4b\u8bd5\u7684\u60c5\u51b5\u3002\u6211\u4eec\u7684\u5b9a\u91cf\u6846\u67b6\u80fd\u591f\u5c06\u6d4b\u8bd5\u7ed3\u679c\u76f4\u63a5\u89e3\u91ca\u4e3a\u8bef\u5dee\u548c\u504f\u5dee\u7684\u51fd\u6570\u3002\u901a\u8fc7\u5c06\u6211\u4eec\u7684\u6d4b\u8bd5\u6a21\u578b\u5e94\u7528\u4e8e\u65b0\u51a0\u75ab\u60c5\u6d4b\u8bd5\u6570\u636e\u548c\u6765\u81ea\u7279\u5b9a\u53f8\u6cd5\u7ba1\u8f96\u533a\u7684\u5b9e\u9645\u75c5\u4f8b\u6570\u636e\uff0c\u6211\u4eec\u80fd\u591f\u4f30\u8ba1\u548c\u63d0\u4f9b\u5728\u5927\u6d41\u884c\u4e2d\u91cd\u8981\u53c2\u6570<\/span>\uff08\u4f8b\u5982\u60a3\u75c5\u7387\u548c\u6b7b\u4ea1\u7387\uff09<\/span>\u7684\u4e0d\u786e\u5b9a\u6027\u3002<\/span><\/p>\n


<\/h3>\n

11.\u65b0\u51a0\u75ab\u60c5\u76d1\u6d4b\u5668\uff1a\u57fa\u4e8e\u793e\u4ea4\u5a92\u4f53\u6316\u6398\u7684\u9ad8\u6548\u9c81\u68d2\u4f20\u67d3\u75c5\u76d1\u6d4b\u7cfb\u7edf<\/span><\/strong><\/span><\/h3>\n


<\/p>\n

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\u8bba\u6587\u9898\u76ee\uff1aCOVID-19 Surveiller: toward a robust and effective pandemic surveillance system based on social media mining<\/span><\/p>\n

\u4f5c\u8005\uff1aJyun-Yu Jiang\uff0cYichao Zhou\uff0cXiusi Chen\uff0cYan-Ru Jhou\uff0cLiqi Zhao\uff0cSabrina Liu\uff0cPo-Chun Yang\uff0cJule Ahmar\uff0cWei Wang<\/span><\/p>\n

\u53d1\u8868\u65f6\u95f4\uff1a2021\u5e7411\u670822\u65e5<\/span><\/p>\n

\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/royalsocietypublishing.org\/doi\/10.1098\/rsta.2021.0125<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


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\u65b0\u51a0\u75ab\u60c5\u7684\u7206\u53d1\u5df2\u6210\u4e3a\u4eba\u7c7b\u5386\u53f2\u4e0a\u6700\u4e25\u91cd\u7684\u4f20\u67d3\u75c5\u4e4b\u4e00\u3002\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u5efa\u8bae\u5229\u7528\u793e\u4ea4\u5a92\u4f53\u7528\u6237\u4f5c\u4e3a\u793e\u4ea4\u4f20\u611f\u5668\uff0c\u540c\u65f6\u9884\u6d4b\u5927\u6d41\u884c\u8d8b\u52bf\uff0c\u5e76\u63d0\u4f9b\u6f5c\u5728\u7684\u98ce\u9669\u56e0\u7d20\uff0c\u5e2e\u52a9\u516c\u5171\u536b\u751f\u4e13\u5bb6\u4e86\u89e3\u4f20\u64ad\u60c5\u51b5\u5e76\u63a8\u8350\u9002\u5f53\u7684\u5e72\u9884\u63aa\u65bd\u3002\u66f4\u51c6\u786e\u5730\u8bf4\uff0c\u6211\u4eec\u5f00\u53d1\u4e86\u65b0\u578b\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u6765\u8bc6\u522b\u91cd\u8981\u5b9e\u4f53\u53ca\u5176\u968f\u65f6\u95f4\u7684\u5173\u7cfb\uff0c\u4ece\u800c\u5efa\u7acb\u52a8\u6001\u5f02\u8d28\u56fe\u6765\u63cf\u8ff0\u793e\u4ea4\u5a92\u4f53\u7528\u6237\u7684\u89c2\u5bdf\u7ed3\u679c\u3002\u7136\u540e\uff0c\u52a8\u6001\u56fe\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u53ef\u4ee5\u9884\u6d4b\u8d8b\u52bf<\/span>\uff08\u4f8b\u5982\u65b0\u8bca\u65ad\u75c5\u4f8b\u548c\u6b7b\u4ea1\u7387\uff09<\/span>\u5e76\u4ece\u793e\u4ea4\u5a92\u4f53\u4e2d\u8bc6\u522b\u9ad8\u98ce\u9669\u4e8b\u4ef6\u3002\u57fa\u4e8e\u6240\u63d0\u51fa\u7684\u8ba1\u7b97\u65b9\u6cd5\uff0c\u6211\u4eec\u8fd8\u4e3a\u6ca1\u6709\u4efb\u4f55\u8ba1\u7b97\u673a\u79d1\u5b66\u80cc\u666f\u7684\u9886\u57df\u4e13\u5bb6\u5f00\u53d1\u4e86\u4e00\u4e2a\u57fa\u4e8e\u7f51\u7edc\u7684\u7cfb\u7edf\uff0c\u53ef\u4ee5\u8f7b\u677e\u5730\u4e0e\u4e4b\u4ea4\u4e92\u3002\u6211\u4eec\u5bf9 Twitter \u63d0\u4f9b\u7684\u65b0\u51a0\u75ab\u60c5\u76f8\u5173\u63a8\u6587\u7684\u5927\u89c4\u6a21\u6570\u636e\u96c6\u8fdb\u884c\u4e86\u5927\u91cf\u5b9e\u9a8c\uff0c\u8868\u660e\u6211\u4eec\u7684\u65b9\u6cd5\u53ef\u4ee5\u51c6\u786e\u9884\u6d4b\u65b0\u75c5\u4f8b\u548c\u6b7b\u4ea1\u7387\u3002\u6211\u4eec\u8fd8\u5c55\u793a\u4e86\u6211\u4eec\u57fa\u4e8e\u7f51\u7edc\u7684\u4f20\u67d3\u75c5\u76d1\u6d4b\u7cfb\u7edf\u7684\u9c81\u68d2\u6027\u53ca\u5176\u5728\u5404\u79cd\u60c5\u51b5\u4e0b\u68c0\u7d22\u57fa\u672c\u77e5\u8bc6\u548c\u5f97\u51fa\u51c6\u786e\u9884\u6d4b\u7684\u80fd\u529b\u3002<\/span><\/p>\n


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12.\u4e2d\u56fd\u7537\u7537\u6027\u63a5\u89e6\u8005\u827e\u6ecb\u75c5\u81ea\u6d4b\u8bd5\u5242\u76d2\u4e8c\u7ea7\u5206\u53d1\u4e2d\u7684\u6700\u4f18\u8d44\u6e90\u5206\u914d\uff1a\u6570\u636e\u9a71\u52a8\u7684\u6574\u6570\u89c4\u5212\u6a21\u578b<\/span><\/strong><\/span><\/h3>\n
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\u8bba\u6587\u9898\u76ee\uff1aOptimal resource allocation in HIV self-testing secondary distribution among Chinese MSM: data-driven integer programming models<\/span><\/p>\n

\u4f5c\u8005\uff1aFengshi Jing\uff0cQingpeng Zhang\uff0cJason J. Ong\uff0cYewei Xie\uff0cYuxin Ni\uff0cMengyuan Cheng\uff0cShanzi Huang\uff0cYi Zhou\uff0cWeiming Tang<\/span><\/p>\n

\u53d1\u8868\u65f6\u95f4\uff1a2021\u5e7411\u670822\u65e5<\/span><\/p>\n

\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/royalsocietypublishing.org\/doi\/10.1098\/rsta.2021.0128<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


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\u4eba\u7c7b\u827e\u6ecb\u75c5\u81ea\u6211\u68c0\u6d4b <\/span>\uff08Human immunodeficiency virus self-testing \uff0cHIVST\uff09 <\/span>\u662f\u4e00\u9879\u521b\u65b0\u4e14\u6709\u6548\u7684\u7b56\u7565\uff0c\u5bf9\u6269\u5927 HIV \u68c0\u6d4b\u8986\u76d6\u8303\u56f4\u5f88\u91cd\u8981\u3002\u4e3a\u4e86\u8fbe\u5230\u5168\u7403\u68c0\u6d4b\u76ee\u6807\uff0c\u591a\u9879 HIVST \u5df2\u5728\u4e00\u4e9b HIV \u9ad8\u5371\u4eba\u7fa4<\/span>\uff08\u5982\u7537\u7537\u6027\u63a5\u89e6\u8005\uff09<\/span>\u4e2d\u5f00\u53d1\u5e76\u8bd5\u7528\u3002\u4e00\u79cd\u521b\u65b0\u7b56\u7565\u662f HIVST \u7684\u4e8c\u7ea7\u5206\u53d1\uff1a\u5411\u4e2a\u4eba<\/span>\uff08\u5b9a\u4e49\u4e3a index\uff09<\/span>\u63d0\u4f9b\u591a\u4e2a\u6d4b\u8bd5\u5957\u4ef6\uff0c\u7528\u4e8e\u81ea\u6211\u4f7f\u7528<\/span>\uff08\u5373\u81ea\u6211\u6d4b\u8bd5\uff09<\/span>\u4ee5\u53ca\u5206\u53d1\u7ed9\u5176 MSM \u793e\u4ea4\u7f51\u7edc\u4e2d\u7684\u5176\u4ed6\u4eba<\/span>\uff08\u5b9a\u4e49\u4e3a alter\uff09<\/span>\u3002\u4ece\u4f20\u7edf\u516c\u5171\u536b\u751f\u5b66\u79d1\u7684\u89d2\u5ea6\uff0c\u5173\u4e8e\u4e8c\u7ea7 HIVST\u5206\u53d1\u7684\u7814\u7a76\u4e3b\u8981\u96c6\u4e2d\u5728\u5f00\u53d1\u65b0\u7684\u5e72\u9884\u65b9\u6cd5\uff0c\u4ee5\u8fdb\u4e00\u6b65\u63d0\u9ad8\u8fd9\u4e00\u65b0\u7b56\u7565\u7684\u6709\u6548\u6027\u3002HIVST \u4e8c\u7ea7\u5206\u53d1\u6709\u5f88\u591a\u5207\u5165\u70b9\uff0c\u800c\u6570\u5b66\u5efa\u6a21\u53ef\u4ee5\u5728\u5176\u4e2d\u53d1\u6325\u91cd\u8981\u4f5c\u7528\u3002\u5728\u8fd9\u9879\u7814\u7a76\u4e2d\uff0c\u6211\u4eec\u8003\u8651\u4e86\u8d44\u6e90\u53d7\u9650\u60c5\u51b5\u4e0b\u7684\u4e8c\u7ea7 HIVST \u8bd5\u5242\u76d2\u5206\u53d1\uff0c\u5e76\u57fa\u4e8e\u6211\u4eec\u76ee\u524d\u6765\u81ea\u4e2d\u56fd MSM \u7684\u5b9e\u65bd\u6570\u636e\uff0c\u63d0\u51fa\u4e86\u4e24\u79cd\u6570\u636e\u9a71\u52a8\u7684\u6574\u6570\u7ebf\u6027\u89c4\u5212\u6a21\u578b\uff0c\u4ee5\u6700\u5927\u9650\u5ea6\u5730\u63d0\u9ad8\u4e8c\u7ea7 HIVST \u8bd5\u5242\u76d2\u5206\u53d1\u7684\u6574\u4f53\u7ecf\u6d4e\u6548\u76ca\u3002\u76ee\u6807\u51fd\u6570\u8003\u8651\u4e86\u6b63\u5e38 alter \u7684\u6269\u5c55\uff0c\u4ee5\u53ca\u9633\u6027\u548c\u65b0\u6d4b\u8bd5\u7684\u201calter\u201d\u7684\u68c0\u6d4b\u3002\u57fa\u4e8e\u6c42\u89e3\u5668\u7ed9\u51fa\u7684\u65b9\u6848\uff0c\u6211\u4eec\u5f00\u53d1\u4e86\u8d2a\u5fc3\u7b97\u6cd5\u6765\u4e3a\u7ebf\u6027\u89c4\u5212\u6a21\u578b\u627e\u5230\u6700\u7ec8\u89e3\u51b3\u65b9\u6848\u3002\u7ed3\u679c\u8868\u660e\uff0c\u6211\u4eec\u63d0\u51fa\u7684\u6570\u636e\u9a71\u52a8\u65b9\u6cd5\u53ef\u4ee5\u63d0\u9ad8 HIVST \u4e8c\u7ea7\u5206\u53d1\u7684\u603b\u4f53\u5065\u5eb7\u7ecf\u6d4e\u6548\u76ca\u3002<\/span><\/p>\n


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13.\u5e94\u5bf9\u65b0\u51a0\u75ab\u60c5\u7684\u6570\u636e\u79d1\u5b66\u65b9\u6cd5\uff1a\u53d9\u8ff0\u6027\u56de\u987e<\/span><\/strong><\/span><\/h3>\n


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\u8bba\u6587\u9898\u76ee\uff1aData science approaches to confronting the COVID-19 pandemic: a narrative review<\/span><\/p>\n

\u4f5c\u8005\uff1aQingpeng Zhang\uff0cJianxi Gao\uff0cJoseph T. W\uff0cZhidong Cao\uff0cDaniel Dajun Zeng<\/span><\/p>\n

\u53d1\u8868\u65f6\u95f4\uff1a2021\u5e7411\u670822\u65e5<\/span><\/p>\n

\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/royalsocietypublishing.org\/doi\/10.1098\/rsta.2021.0127<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


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\u4ece\u6570\u5b66\u5efa\u6a21\u5230\u591a\u5b66\u79d1\u5e94\u7528\u2014\u2014\u7f51\u7edc\u79d1\u5b66\u00b7\u96c6\u667a\u8bfe\u5802\u5168\u65b0\u5347\u7ea7<\/a><\/span><\/strong><\/span><\/section>\n

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