美国新总统拜登计划周一任命12人新冠疫情专案组,特朗普举办选举集会致700人得新冠死亡

2020-11-08 网络 网络

11月8日消息,两位知情人士告诉CNN,预计当选美国总统的拜登计划在当地时间周一任命由12人组成的新冠疫情专案组。

11月8日消息,两位知情人士告诉CNN,预计当选美国总统的拜登计划在当地时间周一任命由12人组成的新冠疫情专案组。

据报道,该专案组将由前外科医生Vivek Murthy、美国食品药品监督管理局(FDA)前局长David Kessler以及耶鲁大学的Marcella Nunez-Smith博士三名联合主席领导。

消息人士称,预计拜登不会在未来几周内宣布内阁提名人选,可能会等到参议院控制权明朗后再宣布。报道称,拜登对大多数高层职位都有潜在人选,但宣布疫情专案组凸显了他打算优先考虑这一挑战。

特朗普举办集会致700人得新冠死亡

斯坦福经济政策研究所(Stanford Institute for Economic Policy Research)的研究人员调查了特朗普在6月20日至9月22日期间举行的18次大型集会(其中三次是在室内举行的)之后的几周内新冠肺炎感染人数和死亡人数。

他们发现,每一次集会都增加了民众感染新冠肺炎的概率,大概每10万居民中就有250人感染新冠肺炎,根据这个数字推算出这18次集会大概导致了3万名民众感染新冠肺炎。

这项研究是由斯坦福大学经济学教授b·道格拉斯·伯恩海姆和三名博士生共同组织的,伯恩海姆悲伤地说,那些死去的人不仅仅是集会的参加者,还有那些可能被参加者感染的人。

塔尔萨的公共卫生官员表示,这次集会之后,感染新冠肺炎的患者激增,集会举行两周后不久,塔尔萨一天内就爆发了206起新冠肺炎病例,创下了当时的最高纪录。

明尼苏达州的官员们追踪了18例新冠肺炎病例,发现这些病例都与9月18日在伯米吉举行的特朗普集会有关。

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    2020-11-08 lovetcm

    #特朗普#即将下台了,美国新总统#拜登#明年1月份就会就任新总统,与医疗同样脱不了干系!拜登上任后,中美的交流可能会好一些,不会象现在这样限制得很死

    1

    展开1条回复
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    2020-11-08 公卫新人

    新冠肺炎,疫情何时才能消失

    0

  3. [GetPortalCommentsPageByObjectIdResponse(id=897671, encodeId=f03289e67108, content=<a href='/topic/show?id=54066e9813d' target=_blank style='color:#2F92EE;'>#特朗普#</a>即将下台了,美国新总统<a href='/topic/show?id=5eb45625870' target=_blank style='color:#2F92EE;'>#拜登#</a>明年1月份就会就任新总统,与医疗同样脱不了干系!拜登上任后,中美的交流可能会好一些,不会象现在这样限制得很死, beContent=null, objectType=article, channel=null, level=null, likeNumber=256, replyNumber=1, topicName=null, topicId=null, topicList=[TopicDto(id=67981, encryptionId=54066e9813d, topicName=特朗普), TopicDto(id=56258, encryptionId=5eb45625870, topicName=拜登)], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20220519/c2ab253484ee4527a2d4e9589a4821ac/45de9bf494a54becb2ea4369c9d11e85.jpg, createdBy=7a3710, createdName=lovetcm, createdTime=Sun Nov 08 08:51:40 CST 2020, time=2020-11-08, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1028756, encodeId=15c51028e5675, content=新冠肺炎,疫情何时才能消失, beContent=null, objectType=article, channel=null, level=null, likeNumber=106, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=公卫新人, createdTime=Sun Nov 08 11:29:29 CST 2020, time=2020-11-08, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=897683, encodeId=715b89e6835e, content=看职业选手如何带领美国人民抗疫......, beContent=null, objectType=article, channel=null, level=null, likeNumber=155, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20201108/695c905ad36e46bd9562b26fa2ab4f25/d8774a98c7ee4af090be4fc23e9fbdb8.jpg, createdBy=a6895431833, createdName=ms4000002053088996, createdTime=Sun Nov 08 10:12:05 CST 2020, time=2020-11-08, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=897674, encodeId=0de689e674d6, content=现代科学普及不容易啊, beContent=null, objectType=article, channel=null, level=null, likeNumber=125, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=http://thirdwx.qlogo.cn/mmopen/vi_32/Q0j4TwGTfTKibA62IFMeUJEmSyIe8DvYFeERuOsfrRd8iano7nENqQU1dRR3tqeQOUL3eqgYgEZRT2t2iaEsib0JEw/132, createdBy=66771693911, createdName=易水河, createdTime=Sun Nov 08 09:09:42 CST 2020, time=2020-11-08, status=1, ipAttribution=)]
    2020-11-08 ms4000002053088996

    看职业选手如何带领美国人民抗疫......

    0

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    2020-11-08 易水河

    现代科学普及不容易啊

    0

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