Lancet:新冠肺炎持续1年以上死亡率模型研究

2020-05-13 MedSci原创 MedSci原创

研究人员根据年龄、性别和其他基本情况对COVID-19大流行超过1年的死亡率进行估算,结果表明,需要采取持续严格的抑制措施防止疫情的进一步蔓延

2019年冠状病毒病(COVID-19)大流行对医疗、社会和经济生产了巨大的影响。近日研究人员根据不同传播抑制水平和疾病相对风险,对 covid-19流行1年后的患者死亡人数进行预测。
 
研究人员使用了来自英国的初级和次级保健记录(UK-CALIBER),数据包含1997-2017年间,30岁或30岁以上人群的根据英格兰公共卫生指南(从2020年3月16日)定义的基础疾病的流行率。研究人员估计多种情况下的COVID-19流行1年的死亡率,包括完全抑制(0.001%)、部分抑制(1%)、缓解(10%)和不采取任何措施(80%),在每种流行情况下,将参与者分为基础风险,受感染相对风险1.5、2.0以及3.0。
 
研究包括3862012人,其中女性占50.7%,估计超过20%的研究人群属于高危人群,其中13.7%的参与者年龄在70岁以上,6.3%的年龄在70岁或70岁以下参与者有至少一种潜在疾病。高危人群1年死亡率估计为4.46%。。在完全抑制情景中,研究人员认为,相对于基础风险,新冠肺炎感染的相对风险(RR)为1.5的人群,将造成2名患者的超额死亡,RR为2.0时,额外死亡增加到4名, RR为3.0时,额外死亡增加到7名,而在疫情缓解的情况下,相对风险1.5、2.0以及3.0将造成的死亡人数分别为18374例、36749例和73498例。在不采取任何措施的情况下,相应的传播风险下,死亡人数为146996例、293991例和587982例。
 
研究人员根据年龄、性别和其他基本情况对COVID-19大流行超过1年的死亡率进行估算,结果表明,需要采取持续严格的抑制措施防止疫情的进一步蔓延。
 
原始出处:
 

 

版权声明:
本网站所有内容来源注明为“梅斯医学”或“MedSci原创”的文字、图片和音视频资料,版权均属于梅斯医学所有。非经授权,任何媒体、网站或个人不得转载,授权转载时须注明来源为“梅斯医学”。其它来源的文章系转载文章,或“梅斯号”自媒体发布的文章,仅系出于传递更多信息之目的,本站仅负责审核内容合规,其内容不代表本站立场,本站不负责内容的准确性和版权。如果存在侵权、或不希望被转载的媒体或个人可与我们联系,我们将立即进行删除处理。
在此留言
评论区 (5)
#插入话题
  1. [GetPortalCommentsPageByObjectIdResponse(id=813729, encodeId=bb16813e2963, content=学习了, beContent=null, objectType=article, channel=null, level=null, likeNumber=75, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=64245268311, createdName=14818eb4m67暂无昵称, createdTime=Thu Aug 27 08:03:09 CST 2020, time=2020-08-27, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1830636, encodeId=37b7183063669, content=<a href='/topic/show?id=1b6210686b2' target=_blank style='color:#2F92EE;'>#Lancet#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=22, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=10686, encryptionId=1b6210686b2, topicName=Lancet)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=3f0227, createdName=howi, createdTime=Thu Jul 16 10:21:10 CST 2020, time=2020-07-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1028026, encodeId=3b6410280264a, content=新冠肺炎,疫情何时才能消失, beContent=null, objectType=article, channel=null, level=null, likeNumber=36, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=公卫新人, createdTime=Wed May 13 22:21:10 CST 2020, time=2020-05-13, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1033778, encodeId=bb251033e7839, content=顶刊就是不一样,质量很高,内容精彩!学到很多, beContent=null, objectType=article, channel=null, level=null, likeNumber=46, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=goodbing, createdTime=Wed May 13 22:21:10 CST 2020, time=2020-05-13, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1047809, encodeId=96f4104e80907, content=梅斯里提供了很多疾病的模型计算公式,赞一个!, beContent=null, objectType=article, channel=null, level=null, likeNumber=54, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=CHANGE, createdTime=Wed May 13 22:21:10 CST 2020, time=2020-05-13, status=1, ipAttribution=)]
    2020-08-27 14818eb4m67暂无昵称

    学习了

    0

  2. [GetPortalCommentsPageByObjectIdResponse(id=813729, encodeId=bb16813e2963, content=学习了, beContent=null, objectType=article, channel=null, level=null, likeNumber=75, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=64245268311, createdName=14818eb4m67暂无昵称, createdTime=Thu Aug 27 08:03:09 CST 2020, time=2020-08-27, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1830636, encodeId=37b7183063669, content=<a href='/topic/show?id=1b6210686b2' target=_blank style='color:#2F92EE;'>#Lancet#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=22, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=10686, encryptionId=1b6210686b2, topicName=Lancet)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=3f0227, createdName=howi, createdTime=Thu Jul 16 10:21:10 CST 2020, time=2020-07-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1028026, encodeId=3b6410280264a, content=新冠肺炎,疫情何时才能消失, beContent=null, objectType=article, channel=null, level=null, likeNumber=36, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=公卫新人, createdTime=Wed May 13 22:21:10 CST 2020, time=2020-05-13, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1033778, encodeId=bb251033e7839, content=顶刊就是不一样,质量很高,内容精彩!学到很多, beContent=null, objectType=article, channel=null, level=null, likeNumber=46, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=goodbing, createdTime=Wed May 13 22:21:10 CST 2020, time=2020-05-13, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1047809, encodeId=96f4104e80907, content=梅斯里提供了很多疾病的模型计算公式,赞一个!, beContent=null, objectType=article, channel=null, level=null, likeNumber=54, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=CHANGE, createdTime=Wed May 13 22:21:10 CST 2020, time=2020-05-13, status=1, ipAttribution=)]
    2020-07-16 howi
  3. [GetPortalCommentsPageByObjectIdResponse(id=813729, encodeId=bb16813e2963, content=学习了, beContent=null, objectType=article, channel=null, level=null, likeNumber=75, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=64245268311, createdName=14818eb4m67暂无昵称, createdTime=Thu Aug 27 08:03:09 CST 2020, time=2020-08-27, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1830636, encodeId=37b7183063669, content=<a href='/topic/show?id=1b6210686b2' target=_blank style='color:#2F92EE;'>#Lancet#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=22, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=10686, encryptionId=1b6210686b2, topicName=Lancet)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=3f0227, createdName=howi, createdTime=Thu Jul 16 10:21:10 CST 2020, time=2020-07-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1028026, encodeId=3b6410280264a, content=新冠肺炎,疫情何时才能消失, beContent=null, objectType=article, channel=null, level=null, likeNumber=36, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=公卫新人, createdTime=Wed May 13 22:21:10 CST 2020, time=2020-05-13, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1033778, encodeId=bb251033e7839, content=顶刊就是不一样,质量很高,内容精彩!学到很多, beContent=null, objectType=article, channel=null, level=null, likeNumber=46, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=goodbing, createdTime=Wed May 13 22:21:10 CST 2020, time=2020-05-13, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1047809, encodeId=96f4104e80907, content=梅斯里提供了很多疾病的模型计算公式,赞一个!, beContent=null, objectType=article, channel=null, level=null, likeNumber=54, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=CHANGE, createdTime=Wed May 13 22:21:10 CST 2020, time=2020-05-13, status=1, ipAttribution=)]
    2020-05-13 公卫新人

    新冠肺炎,疫情何时才能消失

    0

  4. [GetPortalCommentsPageByObjectIdResponse(id=813729, encodeId=bb16813e2963, content=学习了, beContent=null, objectType=article, channel=null, level=null, likeNumber=75, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=64245268311, createdName=14818eb4m67暂无昵称, createdTime=Thu Aug 27 08:03:09 CST 2020, time=2020-08-27, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1830636, encodeId=37b7183063669, content=<a href='/topic/show?id=1b6210686b2' target=_blank style='color:#2F92EE;'>#Lancet#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=22, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=10686, encryptionId=1b6210686b2, topicName=Lancet)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=3f0227, createdName=howi, createdTime=Thu Jul 16 10:21:10 CST 2020, time=2020-07-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1028026, encodeId=3b6410280264a, content=新冠肺炎,疫情何时才能消失, beContent=null, objectType=article, channel=null, level=null, likeNumber=36, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=公卫新人, createdTime=Wed May 13 22:21:10 CST 2020, time=2020-05-13, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1033778, encodeId=bb251033e7839, content=顶刊就是不一样,质量很高,内容精彩!学到很多, beContent=null, objectType=article, channel=null, level=null, likeNumber=46, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=goodbing, createdTime=Wed May 13 22:21:10 CST 2020, time=2020-05-13, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1047809, encodeId=96f4104e80907, content=梅斯里提供了很多疾病的模型计算公式,赞一个!, beContent=null, objectType=article, channel=null, level=null, likeNumber=54, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=CHANGE, createdTime=Wed May 13 22:21:10 CST 2020, time=2020-05-13, status=1, ipAttribution=)]
    2020-05-13 goodbing

    顶刊就是不一样,质量很高,内容精彩!学到很多

    0

  5. [GetPortalCommentsPageByObjectIdResponse(id=813729, encodeId=bb16813e2963, content=学习了, beContent=null, objectType=article, channel=null, level=null, likeNumber=75, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=64245268311, createdName=14818eb4m67暂无昵称, createdTime=Thu Aug 27 08:03:09 CST 2020, time=2020-08-27, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1830636, encodeId=37b7183063669, content=<a href='/topic/show?id=1b6210686b2' target=_blank style='color:#2F92EE;'>#Lancet#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=22, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=10686, encryptionId=1b6210686b2, topicName=Lancet)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=3f0227, createdName=howi, createdTime=Thu Jul 16 10:21:10 CST 2020, time=2020-07-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1028026, encodeId=3b6410280264a, content=新冠肺炎,疫情何时才能消失, beContent=null, objectType=article, channel=null, level=null, likeNumber=36, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=公卫新人, createdTime=Wed May 13 22:21:10 CST 2020, time=2020-05-13, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1033778, encodeId=bb251033e7839, content=顶刊就是不一样,质量很高,内容精彩!学到很多, beContent=null, objectType=article, channel=null, level=null, likeNumber=46, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=goodbing, createdTime=Wed May 13 22:21:10 CST 2020, time=2020-05-13, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1047809, encodeId=96f4104e80907, content=梅斯里提供了很多疾病的模型计算公式,赞一个!, beContent=null, objectType=article, channel=null, level=null, likeNumber=54, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=CHANGE, createdTime=Wed May 13 22:21:10 CST 2020, time=2020-05-13, status=1, ipAttribution=)]
    2020-05-13 CHANGE

    梅斯里提供了很多疾病的模型计算公式,赞一个!

    0

相关资讯

高福等学者发论文,鉴定2种可阻新冠入侵的抗体,为疫苗提供结构基础

这项研究鉴定的中和抗体有望成为预防和治疗新冠病毒的候选抗体。

不同民族人群新冠肺炎死亡率差异巨大

英国国家统计局在8日上午公布的数据则证实了这一点:英国的黑人族裔感染新冠肺炎致死的可能性是白人的四倍多,这些数据涵盖了英格兰和威尔士3月2日至4月10日的死亡人数。

重磅!依那西普​治愈了法国COVID-19患者

TNF-α抑制剂依那西普(etanercept)治疗后,新冠肺炎症状消失了。

JAMA Pediatr:北美儿科重症监护病房新冠肺炎患儿特征研究

北美儿科重症监护病房的COVID-19感染的负担低于成人,但多数新冠肺炎患儿存在院前合并症

5月13日全球新冠肺炎(COVID-19)疫情简报,确诊超433万例,死亡创45天来很低,预计6月中下旬全球有望回归基本正常

Worldometers世界实时统计数据显示,截至北京时间5月13日7时10分,全球新冠肺炎累计确诊病例突破433万例,达到4335821例,累计死亡病例超过29.2万例,达到292301例。美国新冠

世卫组织:吸烟预防新冠肺炎尚无足够证据

近日,世卫组织发表声明称,目前没有足够的信息证实烟草或尼古丁对于预防或治疗2019冠状病毒病有任何关联,吸烟者发展为重症和出现死亡的风险更高。