A Mixture Model for Estimating SARS-CoV-2 Seroprevalence in Chennai, India.
A Mixture Model for Estimating SARS-CoV-2 Seroprevalence in Chennai, India.
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DOI：
10.1093/aje/kwad103
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发表时间：
2023-09-01
影响因子：
5
通讯作者：
Solomon SS
中科院分区：
文献类型：
--
作者：
Hitchings MDT;Patel EU;Khan R;Srikrishnan AK;Anderson M;Kumar KS;Wesolowski AP;Iqbal SH;Rodgers MA;Mehta SH;Cloherty G;Cummings DAT;Solomon SS
用于估计严重急性呼吸道综合征冠状病毒2（SARS-CoV-2）流行率的血清学检测通常依赖于制造商根据严重病例确定的临界值。我们于2021年1月至5月在印度钦奈对4，677名个体进行了基于家庭的血清调查。对样本进行了针对刺突蛋白（S）和核衣壳蛋白（N）的SARS-CoV-2免疫球蛋白G（IgG）抗体检测。我们计算血清阳性率，使用制造商临界值和基于测量的IgG水平的混合模型定义血清阳性。使用生产商临界值，每种检测方法估计的血清阳性率存在5倍差异。使用混合物模型在很大程度上调和了这种差异，估计的抗S和抗N IgG血清阳性率分别为64.9%（95%可信区间（CrI）：63.8，66.0）和51.5%（95%CrI：50.2，52.9）。年龄和社会经济因素显示不一致的关系与抗S和抗N IgG血清阳性使用制造商截止。在混合模型中，年龄与血清阳性无关，改善家庭通风与较低的血清阳性几率相关。随着全球疫苗规模的扩大，由于在几种疫苗中包含S蛋白，更稳定的抗S IgG检测的实用性可能受到限制。使用替代靶标估计SARS-CoV-2血清阳性率必须考虑血清反应的异质性，以确保血清阳性率不会被低估，相关性不会被误解。
Serological assays used to estimate the prevalence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) often rely on manufacturers’ cutoffs established on the basis of severe cases. We conducted a household-based serosurvey of 4,677 individuals in Chennai, India, from January to May 2021. Samples were tested for SARS-CoV-2 immunoglobulin G (IgG) antibodies to the spike (S) and nucleocapsid (N) proteins. We calculated seroprevalence, defining seropositivity using manufacturer cutoffs and using a mixture model based on measured IgG level. Using manufacturer cutoffs, there was a 5-fold difference in seroprevalence estimated by each assay. This difference was largely reconciled using the mixture model, with estimated anti-S and anti-N IgG seroprevalence of 64.9% (95% credible interval (CrI): 63.8, 66.0) and 51.5% (95% CrI: 50.2, 52.9), respectively. Age and socioeconomic factors showed inconsistent relationships with anti-S and anti-N IgG seropositivity using manufacturer cutoffs. In the mixture model, age was not associated with seropositivity, and improved household ventilation was associated with lower seropositivity odds. With global vaccine scale-up, the utility of the more stable anti-S IgG assay may be limited due to the inclusion of the S protein in several vaccines. Estimates of SARS-CoV-2 seroprevalence using alternative targets must consider heterogeneity in seroresponse to ensure that seroprevalence is not underestimated and correlates are not misinterpreted.
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DOI：
10.1093/infdis/jiab375
发表时间：
2021-11-16
期刊：
The Journal of infectious diseases
影响因子：
--
作者：
Pelleau S;Woudenberg T;Rosado J;Donnadieu F;Garcia L;Obadia T;Gardais S;Elgharbawy Y;Velay A;Gonzalez M;Nizou JY;Khelil N;Zannis K;Cockram C;Merkling SH;Meola A;Kerneis S;Terrier B;de Seze J;Planas D;Schwartz O;Dejardin F;Petres S;von Platen C;Pellerin SF;Arowas L;de Facci LP;Duffy D;Cheallaigh CN;Dunne J;Conlon N;Townsend L;Duong V;Auerswald H;Pinaud L;Tondeur L;Backovic M;Hoen B;Fontanet A;Mueller I;Fafi-Kremer S;Bruel T;White M
通讯作者：
White M
影响因子：
13.6
作者：
Peluso MJ;Takahashi S;Hakim J;Kelly JD;Torres L;Iyer NS;Turcios K;Janson O;Munter SE;Thanh C;Donatelli J;Nixon CC;Hoh R;Tai V;Fehrman EA;Hernandez Y;Spinelli MA;Gandhi M;Palafox MA;Vallari A;Rodgers MA;Prostko J;Hackett J Jr;Trinh L;Wrin T;Petropoulos CJ;Chiu CY;Norris PJ;DiGermanio C;Stone M;Busch MP;Elledge SK;Zhou XX;Wells JA;Shu A;Kurtz TW;Pak JE;Wu W;Burbelo PD;Cohen JI;Rutishauser RL;Martin JN;Deeks SG;Henrich TJ;Rodriguez-Barraquer I;Greenhouse B
通讯作者：
Greenhouse B
DOI：
10.1016/s2214-109x(21)00026-7
发表时间：
2021-05
期刊：
The Lancet. Global health
影响因子：
--
作者：
Chen X;Chen Z;Azman AS;Deng X;Sun R;Zhao Z;Zheng N;Chen X;Lu W;Zhuang T;Yang J;Viboud C;Ajelli M;Leung DT;Yu H
通讯作者：
Yu H
影响因子：
15.8
作者：
Murhekar MV;Bhatnagar T;Thangaraj JWV;Saravanakumar V;Santhosh Kumar M;Selvaraju S;Rade K;Kumar CPG;Sabarinathan R;Asthana S;Balachandar R;Bangar SD;Bansal AK;Bhat J;Chakraborty D;Chopra V;Das D;Devi KR;Dwivedi GR;Jain A;Khan SMS;Kumar MS;Laxmaiah A;Madhukar M;Mahapatra A;Ramesh T;Rangaraju C;Turuk J;Yadav S;Bhargava B;ICMR serosurveillance group
通讯作者：
ICMR serosurveillance group
影响因子：
9.4
作者：
Bradley BT;Bryan A;Fink SL;Goecker EA;Roychoudhury P;Huang ML;Zhu H;Chaudhary A;Madarampalli B;Lu JYC;Strand K;Whimbey E;Bryson-Cahn C;Schippers A;Mani NS;Pepper G;Jerome KR;Morishima C;Coombs RW;Wener M;Cohen S;Greninger AL
通讯作者：
Greninger AL