NEJM:新冠肺炎早期流行病学特征研究

2020-03-26 MedSci原创 MedSci原创

有证据表明,自2019年12月中旬以来,新冠肺炎在密切接触者之间发生了人人传播,对密切接触人群的有效隔离是预防或减少传播的有效途径

近日研究人员分析了武汉市425例确诊的新冠状病毒(2019 nCoV)感染肺炎(NCIP)病例资料,以确定NCIP的流行病学特征。
 
研究人员收集了截至2020年1月22日已报告的实验室确诊NCIP病例的人口学特征、暴露史和疾病时间表。研究人员描述了病例的特点,并估计了关键的流行病学时间延迟分布。在指数增长初期,研究人员估计了该病的翻倍流行时间和基本传播数。
 
在首批425名NCIP确诊患者中,中位年龄为59岁,56%为男性。2020年1月1日前发病的大多数病例(55%)与华南海鲜批发市场有关,而其后这一比例降至8.6%。平均潜伏期为5.2天,95%的患者潜伏期在12.5天内。在早期阶段,NCIP每7.4天患者扩增一倍。基本传播数为2.2。
 
有证据表明,自2019年12月中旬以来,新冠肺炎在密切接触者之间发生了人人传播,对密切接触人群的有效隔离是预防或减少传播的有效途径。
 
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  2. [GetPortalCommentsPageByObjectIdResponse(id=2033138, encodeId=66bd203313821, content=<a href='/topic/show?id=cebb653925a' target=_blank style='color:#2F92EE;'>#流行病学特征#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=35, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=65392, encryptionId=cebb653925a, topicName=流行病学特征)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=5fca128, createdName=licz0423, createdTime=Fri Jan 29 15:42:01 CST 2021, time=2021-01-29, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1411349, encodeId=e186141134910, content=<a href='/topic/show?id=91e96538eee' target=_blank style='color:#2F92EE;'>#流行病#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=21, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=65387, encryptionId=91e96538eee, topicName=流行病)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=30bd35, createdName=xugumin, createdTime=Sat Mar 28 09:42:01 CST 2020, time=2020-03-28, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=381044, encodeId=e52e381044e7, content=很好的文章, beContent=null, objectType=article, channel=null, level=null, likeNumber=95, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=b5a62240667, createdName=张新亮1853311252142e2fm, createdTime=Fri Mar 27 16:24:48 CST 2020, time=2020-03-27, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1027557, encodeId=2a65102e55797, content=新冠肺炎,疫情何时才能消失, beContent=null, objectType=article, channel=null, level=null, likeNumber=31, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=公卫新人, createdTime=Thu Mar 26 21:42:01 CST 2020, time=2020-03-26, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1035193, encodeId=62dc10351938a, content=顶刊就是顶刊,谢谢梅斯带来这么高水平的研究报道,我们科里同事经常看梅斯,分享梅斯上的信息, beContent=null, objectType=article, channel=null, level=null, likeNumber=27, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=旺医, createdTime=Thu Mar 26 21:42:01 CST 2020, time=2020-03-26, status=1, ipAttribution=)]
    2020-03-28 xugumin
  3. [GetPortalCommentsPageByObjectIdResponse(id=2033138, encodeId=66bd203313821, content=<a href='/topic/show?id=cebb653925a' target=_blank style='color:#2F92EE;'>#流行病学特征#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=35, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=65392, encryptionId=cebb653925a, topicName=流行病学特征)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=5fca128, createdName=licz0423, createdTime=Fri Jan 29 15:42:01 CST 2021, time=2021-01-29, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1411349, encodeId=e186141134910, content=<a href='/topic/show?id=91e96538eee' target=_blank style='color:#2F92EE;'>#流行病#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=21, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=65387, encryptionId=91e96538eee, topicName=流行病)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=30bd35, createdName=xugumin, createdTime=Sat Mar 28 09:42:01 CST 2020, time=2020-03-28, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=381044, encodeId=e52e381044e7, content=很好的文章, beContent=null, objectType=article, channel=null, level=null, likeNumber=95, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=b5a62240667, createdName=张新亮1853311252142e2fm, createdTime=Fri Mar 27 16:24:48 CST 2020, time=2020-03-27, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1027557, encodeId=2a65102e55797, content=新冠肺炎,疫情何时才能消失, beContent=null, objectType=article, channel=null, level=null, likeNumber=31, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=公卫新人, createdTime=Thu Mar 26 21:42:01 CST 2020, time=2020-03-26, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1035193, encodeId=62dc10351938a, content=顶刊就是顶刊,谢谢梅斯带来这么高水平的研究报道,我们科里同事经常看梅斯,分享梅斯上的信息, beContent=null, objectType=article, channel=null, level=null, likeNumber=27, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=旺医, createdTime=Thu Mar 26 21:42:01 CST 2020, time=2020-03-26, status=1, ipAttribution=)]
    2020-03-27 张新亮1853311252142e2fm

    很好的文章

    0

  4. [GetPortalCommentsPageByObjectIdResponse(id=2033138, encodeId=66bd203313821, content=<a href='/topic/show?id=cebb653925a' target=_blank style='color:#2F92EE;'>#流行病学特征#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=35, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=65392, encryptionId=cebb653925a, topicName=流行病学特征)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=5fca128, createdName=licz0423, createdTime=Fri Jan 29 15:42:01 CST 2021, time=2021-01-29, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1411349, encodeId=e186141134910, content=<a href='/topic/show?id=91e96538eee' target=_blank style='color:#2F92EE;'>#流行病#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=21, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=65387, encryptionId=91e96538eee, topicName=流行病)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=30bd35, createdName=xugumin, createdTime=Sat Mar 28 09:42:01 CST 2020, time=2020-03-28, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=381044, encodeId=e52e381044e7, content=很好的文章, beContent=null, objectType=article, channel=null, level=null, likeNumber=95, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=b5a62240667, createdName=张新亮1853311252142e2fm, createdTime=Fri Mar 27 16:24:48 CST 2020, time=2020-03-27, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1027557, encodeId=2a65102e55797, content=新冠肺炎,疫情何时才能消失, beContent=null, objectType=article, channel=null, level=null, likeNumber=31, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=公卫新人, createdTime=Thu Mar 26 21:42:01 CST 2020, time=2020-03-26, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1035193, encodeId=62dc10351938a, content=顶刊就是顶刊,谢谢梅斯带来这么高水平的研究报道,我们科里同事经常看梅斯,分享梅斯上的信息, beContent=null, objectType=article, channel=null, level=null, likeNumber=27, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=旺医, createdTime=Thu Mar 26 21:42:01 CST 2020, time=2020-03-26, status=1, ipAttribution=)]
    2020-03-26 公卫新人

    新冠肺炎,疫情何时才能消失

    0

  5. [GetPortalCommentsPageByObjectIdResponse(id=2033138, encodeId=66bd203313821, content=<a href='/topic/show?id=cebb653925a' target=_blank style='color:#2F92EE;'>#流行病学特征#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=35, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=65392, encryptionId=cebb653925a, topicName=流行病学特征)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=5fca128, createdName=licz0423, createdTime=Fri Jan 29 15:42:01 CST 2021, time=2021-01-29, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1411349, encodeId=e186141134910, content=<a href='/topic/show?id=91e96538eee' target=_blank style='color:#2F92EE;'>#流行病#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=21, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=65387, encryptionId=91e96538eee, topicName=流行病)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=30bd35, createdName=xugumin, createdTime=Sat Mar 28 09:42:01 CST 2020, time=2020-03-28, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=381044, encodeId=e52e381044e7, content=很好的文章, beContent=null, objectType=article, channel=null, level=null, likeNumber=95, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=b5a62240667, createdName=张新亮1853311252142e2fm, createdTime=Fri Mar 27 16:24:48 CST 2020, time=2020-03-27, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1027557, encodeId=2a65102e55797, content=新冠肺炎,疫情何时才能消失, beContent=null, objectType=article, channel=null, level=null, likeNumber=31, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=公卫新人, createdTime=Thu Mar 26 21:42:01 CST 2020, time=2020-03-26, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1035193, encodeId=62dc10351938a, content=顶刊就是顶刊,谢谢梅斯带来这么高水平的研究报道,我们科里同事经常看梅斯,分享梅斯上的信息, beContent=null, objectType=article, channel=null, level=null, likeNumber=27, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=旺医, createdTime=Thu Mar 26 21:42:01 CST 2020, time=2020-03-26, status=1, ipAttribution=)]
    2020-03-26 旺医

    顶刊就是顶刊,谢谢梅斯带来这么高水平的研究报道,我们科里同事经常看梅斯,分享梅斯上的信息

    0

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