Comparison of new and emerging SARS-CoV-2 variant transmissibility through active contact testing. A comparative cross-sectional household seroprevalence study.
Comparison of new and emerging SARS-CoV-2 variant transmissibility through active contact testing. A comparative cross-sectional household seroprevalence study.
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DOI：
10.1371/journal.pone.0284372
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发表时间：
2023
期刊：
影响因子：
3.7
通讯作者：
CONTACT Team Field Team
中科院分区：
文献类型：
--
作者：
Gaskell, Katherine F.;El Kheir, Natalie;Mirfendesky, Mariyam;Rampling, Tommy;Marks, Michael;Houlihan, Catherine;Lemonge, Norbert;Bristowe, Hannah;Aslam, Suhail;Kyprianou, Demetra;Nastouli, Eleni;Goldblatt, David;Fielding, Katherine;Moore, David A. J.;CONTACT Team Field Team
从历史上看，SARS-CoV-2二次发病率（SAR）是基于筛查有症状接触者的PCR阳性;这错过了传播事件，只识别出在采样时PCR阳性的有症状接触者。我们使用血清学检测关注的α变异体（VOC）与非VOC SARS-CoV-2的相对传播率，以计算家庭二次发病率。我们确定了2020年11月至2021年1月期间两家伦敦医院在长期和良好遵守的国家封锁期间诊断为Alpha和非VOC SARS-CoV-2的索引患者。我们完成了一项家庭血清阳性率调查，发现61.8%的非VOC暴露家庭接触者血清阳性，而82.1%的α暴露家庭接触者血清阳性。感染的几率增加了一倍，暴露于诊断为阿尔法的指数。几乎所有家庭都有传播事件的证据。我们的数据强烈支持SAR的估计应包括血清学数据，以提高准确性和理解。
Historically SARS-CoV-2 secondary attack rates (SAR) have been based on PCR positivity on screening symptomatic contacts; this misses transmission events and identifies only symptomatic contacts who are PCR positive at the time of sampling. We used serology to detect the relative transmissibility of Alpha Variant of Concern (VOC) to non-VOC SARS-CoV-2 to calculate household secondary attack rates. We identified index patients diagnosed with Alpha and non-VOC SARS-CoV-2 across two London Hospitals between November 2020 and January 2021 during a prolonged and well adhered national lockdown. We completed a household seroprevalence survey and found that 61.8% of non-VOC exposed household contacts were seropositive compared to 82.1% of Alpha exposed household contacts. The odds of infection doubled with exposure to an index diagnosed with Alpha. There was evidence of transmission events in almost all households. Our data strongly support that estimates of SAR should include serological data to improve accuracy and understanding.
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影响因子：
28.3
作者：
通讯作者：
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DOI：
10.1093/cid/ciab607
发表时间：
2022-04-09
期刊：
Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
影响因子：
--
作者：
Grandjean L;Saso A;Torres Ortiz A;Lam T;Hatcher J;Thistlethwayte R;Harris M;Best T;Johnson M;Wagstaffe H;Ralph E;Mai A;Colijn C;Breuer J;Buckland M;Gilmour K;Goldblatt D;COVID-19 Staff Testing of Antibody Responses Study (Co-Stars) team
通讯作者：
COVID-19 Staff Testing of Antibody Responses Study (Co-Stars) team
SARS-COV-2血统的估计可传播和影响B.1.1.7在英国。
DOI：
10.1126/science.abg3055
发表时间：
2021-04-09
期刊：
Science (New York, N.Y.)
影响因子：
--
作者：
Davies NG;Abbott S;Barnard RC;Jarvis CI;Kucharski AJ;Munday JD;Pearson CAB;Russell TW;Tully DC;Washburne AD;Wenseleers T;Gimma A;Waites W;Wong KLM;van Zandvoort K;Silverman JD;CMMID COVID-19 Working Group;COVID-19 Genomics UK (COG-UK) Consortium;Diaz-Ordaz K;Keogh R;Eggo RM;Funk S;Jit M;Atkins KE;Edmunds WJ
通讯作者：
Edmunds WJ
影响因子：
13.8
作者：
Madewell, Zachary J.;Yang, Yang;Longini, Ira M., Jr.;Halloran, M. Elizabeth;Dean, Natalie E.
通讯作者：
Dean, Natalie E.
DOI：
10.1016/s1473-3099(20)30833-1
发表时间：
2021-03
期刊：
The Lancet. Infectious diseases
影响因子：
--
作者：
Ng OT;Marimuthu K;Koh V;Pang J;Linn KZ;Sun J;De Wang L;Chia WN;Tiu C;Chan M;Ling LM;Vasoo S;Abdad MY;Chia PY;Lee TH;Lin RJ;Sadarangani SP;Chen MI;Said Z;Kurupatham L;Pung R;Wang LF;Cook AR;Leo YS;Lee VJ
通讯作者：
Lee VJ