Estimates of the rate of infection and asymptomatic COVID-19 disease in a population sample from SE England.
Estimates of the rate of infection and asymptomatic COVID-19 disease in a population sample from SE England.
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DOI：
10.1016/j.jinf.2020.10.011
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发表时间：
2020-12
期刊：
影响因子：
--
通讯作者：
Steves CJ
中科院分区：
文献类型：
--
作者：
Wells PM;Doores KJ;Couvreur S;Nunez RM;Seow J;Graham C;Acors S;Kouphou N;Neil SJD;Tedder RS;Matos PM;Poulton K;Lista MJ;Dickenson RE;Sertkaya H;Maguire TJA;Scourfield EJ;Bowyer RCE;Hart D;O'Byrne A;Steel KJA;Hemmings O;Rosadas C;McClure MO;Capedevilla-Pujol J;Wolf J;Ourselin S;Brown MA;Malim MH;Spector T;Steves CJ
目前对SARS-CoV-2真正的无症状感染率的了解有限，对英国第一波COVID-19后基于人群的血清阳性率的了解也有限。迄今为止，大多数数据来自住院患者，很少关注一般人群病例或其症状。我们进行了酶联免疫吸附试验的特点IgM和IgG抗体反应的SARS冠状病毒-2刺糖蛋白和核衣壳蛋白的431例一般人群参与者的TwinsUK队列从英格兰东南部，年龄19-86（中位年龄48; 85%的女性）。382名参与者通过COVID Symptom Study App完成了对14种COVID-19相关症状的前瞻性记录，允许考虑血清学以及个体症状，以及先前根据来自超过200万数据集的PCR阳性个体建模的估计COVID-19的预测算法。我们证明血清阳性率为12%（431名参与者中的51名）。在48名有完整症状数据的血清学阳性个体中，9名（19%）完全无症状，16名（27%）无核心COVID-19症状：发热、咳嗽或嗅觉丧失。嗅觉缺失对血清阳性的特异性为95%，而对发热咳嗽和嗅觉缺失的联合诊断特异性为88%。使用App算法预测队列中的34名个体为Covid-19阳性，其中18名（52%）为血清阳性。来自伦敦和英格兰东南部的成人血清阳性率为12%，在整个研究期间，19%的血清阳性个体在前瞻性症状记录中完全无症状。嗅觉缺失对SARS-CoV-2抗体应答的特异性最高。NIHR BRC、CDRF、ZOE global LTD、RST-UKRI/MRC。
Understanding of the true asymptomatic rate of infection of SARS-CoV-2 is currently limited, as is understanding of the population-based seroprevalence after the first wave of COVID-19 within the UK. The majority of data thus far come from hospitalised patients, with little focus on general population cases, or their symptoms. We undertook enzyme linked immunosorbent assay characterisation of IgM and IgG responses against SARS-CoV-2 spike glycoprotein and nucleocapsid protein of 431 unselected general-population participants of the TwinsUK cohort from South-East England, aged 19–86 (median age 48; 85% female). 382 participants completed prospective logging of 14 COVID-19 related symptoms via the COVID Symptom Study App, allowing consideration of serology alongside individual symptoms, and a predictive algorithm for estimated COVID-19 previously modelled on PCR positive individuals from a dataset of over 2 million. We demonstrated a seroprevalence of 12% (51 participants of 431). Of 48 seropositive individuals with full symptom data, nine (19%) were fully asymptomatic, and 16 (27%) were asymptomatic for core COVID-19 symptoms: fever, cough or anosmia. Specificity of anosmia for seropositivity was 95%, compared to 88% for fever cough and anosmia combined. 34 individuals in the cohort were predicted to be Covid-19 positive using the App algorithm, and of those, 18 (52%) were seropositive. Seroprevalence amongst adults from London and South-East England was 12%, and 19% of seropositive individuals with prospective symptom logging were fully asymptomatic throughout the study. Anosmia demonstrated the highest symptom specificity for SARS-CoV-2 antibody response. NIHR BRC, CDRF, ZOE global LTD, RST-UKRI/MRC.
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影响因子：
64.8
作者：
Robbiani, Davide F.;Gaebler, Christian;Nussenzweig, Michel C.
通讯作者：
Nussenzweig, Michel C.
影响因子：
64.8
作者：
Le Bert, Nina;Tan, Anthony T.;Bertoletti, Antonio
通讯作者：
Bertoletti, Antonio
影响因子：
82.9
作者：
Long, Quan-Xin;Tang, Xiao-Jun;Huang, Ai-Long
通讯作者：
Huang, Ai-Long
影响因子：
6.7
作者：
Pickering S;Betancor G;Galão RP;Merrick B;Signell AW;Wilson HD;Kia Ik MT;Seow J;Graham C;Acors S;Kouphou N;Steel KJA;Hemmings O;Patel A;Nebbia G;Douthwaite S;O'Connell L;Luptak J;McCoy LE;Brouwer P;van Gils MJ;Sanders RW;Martinez Nunez R;Bisnauthsing K;O'Hara G;MacMahon E;Batra R;Malim MH;Neil SJD;Doores KJ;Edgeworth JD
通讯作者：
Edgeworth JD
影响因子：
28.3
作者：
Seow J;Graham C;Merrick B;Acors S;Pickering S;Steel KJA;Hemmings O;O'Byrne A;Kouphou N;Galao RP;Betancor G;Wilson HD;Signell AW;Winstone H;Kerridge C;Huettner I;Jimenez-Guardeño JM;Lista MJ;Temperton N;Snell LB;Bisnauthsing K;Moore A;Green A;Martinez L;Stokes B;Honey J;Izquierdo-Barras A;Arbane G;Patel A;Tan MKI;O'Connell L;O'Hara G;MacMahon E;Douthwaite S;Nebbia G;Batra R;Martinez-Nunez R;Shankar-Hari M;Edgeworth JD;Neil SJD;Malim MH;Doores KJ
通讯作者：
Doores KJ