NAT MED:中国大规模新冠抗体流行数据发布

2020-06-07 MedSci原创 MedSci原创

我国研究人员评估了在2020年3月9日至2020年4月10日期间,在中国武汉市和全国各地理区域的宿主血清反应。

检测无症状或亚临床新型人冠状病毒SARS-CoV-2感染对于了解COVID-19的总体流行率和感染潜力至关重要。

最近,为了估计中国SARS-CoV-2感染的累积流行率,通过免疫球蛋白M和G水平的测量,我国研究人员评估了在2020年3月9日至2020年4月10日期间,在中国武汉市和全国各地理区域的宿主血清反应。

在该队列中,武汉市不同亚群的血清阳性率在3.2%~3.8%之间。随着与武汉距离的增加,其他城市的血清阳性逐渐降低。到医院进行维持性血液透析的患者和医护人员的血清流行率也较高,分别为3.3%(1,542人中有51人,2.5-4.3%,95%可信区间(CI))和1.8%(4,384人中有81人,1.5-2.3%,95%CI)。

我们还需要更多的研究来确定这些结果是否可以推广到其他人群和地理位置,以及确定随着COVID-19大流行的进展,血清流行率以何种速度增加。

血清学监测有可能为这种新型SARS-CoV-2感染的第一个季节提供更忠实的累积病毒攻击率。

 

原始出处:

Xin Xu et al. Seroprevalence of immunoglobulin M and G antibodies against SARS-CoV-2 in China, Nature Medicine (2020). 

 

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 (4)
#插入话题
  1. [GetPortalCommentsPageByObjectIdResponse(id=1884367, encodeId=e237188436ebd, content=<a href='/topic/show?id=3b2112532d8' target=_blank style='color:#2F92EE;'>#Nat#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=35, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=12532, encryptionId=3b2112532d8, topicName=Nat)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=2e6f107, createdName=liye789132251, createdTime=Mon Feb 22 08:11:58 CST 2021, time=2021-02-22, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=2043411, encodeId=33262043411fd, content=<a href='/topic/show?id=13304400293' target=_blank style='color:#2F92EE;'>#大规模#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=26, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=44002, encryptionId=13304400293, topicName=大规模)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=3fce464, createdName=ylz8403, createdTime=Sun Nov 29 04:11:58 CST 2020, time=2020-11-29, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1610520, encodeId=a7b216105203a, content=<a href='/topic/show?id=eb6b1145939' target=_blank style='color:#2F92EE;'>#Med#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=27, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=11459, encryptionId=eb6b1145939, topicName=Med)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=552a19396740, createdName=ms3994565386320060, createdTime=Tue Jun 09 09:11:58 CST 2020, time=2020-06-09, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1028141, encodeId=26a11028141bd, content=新冠肺炎,疫情何时才能消失, beContent=null, objectType=article, channel=null, level=null, likeNumber=59, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=公卫新人, createdTime=Sun Jun 07 21:11:58 CST 2020, time=2020-06-07, status=1, ipAttribution=)]
    2021-02-22 liye789132251
  2. [GetPortalCommentsPageByObjectIdResponse(id=1884367, encodeId=e237188436ebd, content=<a href='/topic/show?id=3b2112532d8' target=_blank style='color:#2F92EE;'>#Nat#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=35, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=12532, encryptionId=3b2112532d8, topicName=Nat)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=2e6f107, createdName=liye789132251, createdTime=Mon Feb 22 08:11:58 CST 2021, time=2021-02-22, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=2043411, encodeId=33262043411fd, content=<a href='/topic/show?id=13304400293' target=_blank style='color:#2F92EE;'>#大规模#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=26, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=44002, encryptionId=13304400293, topicName=大规模)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=3fce464, createdName=ylz8403, createdTime=Sun Nov 29 04:11:58 CST 2020, time=2020-11-29, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1610520, encodeId=a7b216105203a, content=<a href='/topic/show?id=eb6b1145939' target=_blank style='color:#2F92EE;'>#Med#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=27, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=11459, encryptionId=eb6b1145939, topicName=Med)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=552a19396740, createdName=ms3994565386320060, createdTime=Tue Jun 09 09:11:58 CST 2020, time=2020-06-09, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1028141, encodeId=26a11028141bd, content=新冠肺炎,疫情何时才能消失, beContent=null, objectType=article, channel=null, level=null, likeNumber=59, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=公卫新人, createdTime=Sun Jun 07 21:11:58 CST 2020, time=2020-06-07, status=1, ipAttribution=)]
    2020-11-29 ylz8403
  3. [GetPortalCommentsPageByObjectIdResponse(id=1884367, encodeId=e237188436ebd, content=<a href='/topic/show?id=3b2112532d8' target=_blank style='color:#2F92EE;'>#Nat#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=35, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=12532, encryptionId=3b2112532d8, topicName=Nat)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=2e6f107, createdName=liye789132251, createdTime=Mon Feb 22 08:11:58 CST 2021, time=2021-02-22, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=2043411, encodeId=33262043411fd, content=<a href='/topic/show?id=13304400293' target=_blank style='color:#2F92EE;'>#大规模#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=26, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=44002, encryptionId=13304400293, topicName=大规模)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=3fce464, createdName=ylz8403, createdTime=Sun Nov 29 04:11:58 CST 2020, time=2020-11-29, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1610520, encodeId=a7b216105203a, content=<a href='/topic/show?id=eb6b1145939' target=_blank style='color:#2F92EE;'>#Med#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=27, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=11459, encryptionId=eb6b1145939, topicName=Med)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=552a19396740, createdName=ms3994565386320060, createdTime=Tue Jun 09 09:11:58 CST 2020, time=2020-06-09, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1028141, encodeId=26a11028141bd, content=新冠肺炎,疫情何时才能消失, beContent=null, objectType=article, channel=null, level=null, likeNumber=59, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=公卫新人, createdTime=Sun Jun 07 21:11:58 CST 2020, time=2020-06-07, status=1, ipAttribution=)]
  4. [GetPortalCommentsPageByObjectIdResponse(id=1884367, encodeId=e237188436ebd, content=<a href='/topic/show?id=3b2112532d8' target=_blank style='color:#2F92EE;'>#Nat#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=35, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=12532, encryptionId=3b2112532d8, topicName=Nat)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=2e6f107, createdName=liye789132251, createdTime=Mon Feb 22 08:11:58 CST 2021, time=2021-02-22, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=2043411, encodeId=33262043411fd, content=<a href='/topic/show?id=13304400293' target=_blank style='color:#2F92EE;'>#大规模#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=26, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=44002, encryptionId=13304400293, topicName=大规模)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=3fce464, createdName=ylz8403, createdTime=Sun Nov 29 04:11:58 CST 2020, time=2020-11-29, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1610520, encodeId=a7b216105203a, content=<a href='/topic/show?id=eb6b1145939' target=_blank style='color:#2F92EE;'>#Med#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=27, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=11459, encryptionId=eb6b1145939, topicName=Med)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=552a19396740, createdName=ms3994565386320060, createdTime=Tue Jun 09 09:11:58 CST 2020, time=2020-06-09, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1028141, encodeId=26a11028141bd, content=新冠肺炎,疫情何时才能消失, beContent=null, objectType=article, channel=null, level=null, likeNumber=59, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=公卫新人, createdTime=Sun Jun 07 21:11:58 CST 2020, time=2020-06-07, status=1, ipAttribution=)]
    2020-06-07 公卫新人

    新冠肺炎,疫情何时才能消失

    0

相关资讯

武汉新增一确诊病例春节后未出过小区,3月曾有症状在家服药

武汉卫健委网站5月10日公布新增1例新冠肺炎确诊病例详情。

Nature: 武汉一月初的流感样患者中检测出新冠病毒

对去年10月份到今年1月份的流感样患者咽拭子进行检测,结果提示武汉1月初的9例流感样患者中可检测出新冠病毒。

武汉出台核酸、抗体检测医保支付标准,可用医保个人账户支付

为保证核酸检测、抗体检测纳入医保政策落地,武汉市医保局5日确定相关项目医保支付标准。其中,个人自付比例确定为10%,同时允许使用医保个人账户支付相关检测费用,确保我市参保人最大限度享受医保报销,支付标

一度命在旦夕的武汉新冠患者肺移植成功:用了62天ECMO

因新冠肺炎导致双肺出现不可逆的肺纤维化、呼吸衰竭,生命危在旦夕……两个多月的时间里,65岁的新冠肺炎核酸转阴、肺纤维化终末期患者崔安(化名)依靠呼吸机和ECMO维系着生命。

如何防范二次爆发?专家:出武汉尽快推广应检尽检

武汉解封后,我们应该重点关注无症状感染者的问题,如果无症状感染者控制不到位的话,疫情仍有二次爆发风险。”中国人民大学经济研究所所长、健康经济学专家毛振华告诉人民日报健康客户端记者,为应对这