Performance Evaluation of Lateral Flow Assays for Coronavirus Disease-19 Serology.
Performance Evaluation of Lateral Flow Assays for Coronavirus Disease-19 Serology.
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DOI：
10.1016/j.cll.2021.10.005
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发表时间：
2022-03
影响因子：
1.7
通讯作者：
Suliman S
中科院分区：
文献类型：
--
作者：
Ochola L;Ogongo P;Mungai S;Gitaka J;Suliman S
2019冠状病毒病（COVID-19）大流行由严重急性呼吸系统综合征冠状病毒2型（SARS-CoV-2）感染引起，无疑已导致地球仪各地出现重大发病率、死亡率和经济中断。随着多波疫情继续在许多国家肆虐，监测SARS-CoV-2病毒传播动态和诱导抗体寿命的负担得起和可扩展的工具对于监测和控制大流行至关重要。血清学试验检测对病毒的体液反应，以确定目标人群中的血清阳性率，或在自然感染或接种疫苗后在个体水平上诱导抗体。随着多种疫苗在全球范围内推出，检测抗SARS-CoV-2抗体的血清学检测将成为监测群体免疫发展的重要工具。为了满足这一需求，血清学侧流检测（LFA），这可以很容易地实施人口监测和家庭使用，将是至关重要的监测大流行的演变和通知遏制措施。这种测定对于监测自然感染和疫苗接种产生的免疫力的传播动力学和持久性特别重要，特别是在资源有限的环境中。在本文中，我们讨论了评估这些LFA的准确性、它们对不同用例的适用性以及实施机会的考虑因素。
The coronavirus disease of 2019 (COVID-19) pandemic, caused by infection with the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), has undoubtedly resulted in significant morbidities, mortalities, and economic disruptions across the globe. Affordable and scalable tools to monitor the transmission dynamics of the SARS-CoV-2 virus and the longevity of induced antibodies will be paramount to monitor and control the pandemic as multiple waves continue to rage in many countries. Serologic assays detect humoral responses to the virus, to determine seroprevalence in target populations, or induction of antibodies at the individual level following either natural infection or vaccination. With multiple vaccines rolling out globally, serologic assays to detect anti-SARS-CoV-2 antibodies will be important tools to monitor the development of herd immunity. To address this need, serologic lateral flow assays (LFAs), which can be easily implemented for both population surveillance and home use, will be vital to monitor the evolution of the pandemic and inform containment measures. Such assays are particularly important for monitoring the transmission dynamics and durability of immunity generated by natural infections and vaccination, particularly in resource-limited settings. In this review, we discuss considerations for evaluating the accuracy of these LFAs, their suitability for different use cases, and implementation opportunities.
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影响因子：
6.1
作者：
Cavalera S;Colitti B;Rosati S;Ferrara G;Bertolotti L;Nogarol C;Guiotto C;Cagnazzo C;Denina M;Fagioli F;Di Nardo F;Chiarello M;Baggiani C;Anfossi L
通讯作者：
Anfossi L
影响因子：
64.5
作者：
Dejnirattisai W;Zhou D;Ginn HM;Duyvesteyn HME;Supasa P;Case JB;Zhao Y;Walter TS;Mentzer AJ;Liu C;Wang B;Paesen GC;Slon-Campos J;López-Camacho C;Kafai NM;Bailey AL;Chen RE;Ying B;Thompson C;Bolton J;Fyfe A;Gupta S;Tan TK;Gilbert-Jaramillo J;James W;Knight M;Carroll MW;Skelly D;Dold C;Peng Y;Levin R;Dong T;Pollard AJ;Knight JC;Klenerman P;Temperton N;Hall DR;Williams MA;Paterson NG;Bertram FKR;Siebert CA;Clare DK;Howe A;Radecke J;Song Y;Townsend AR;Huang KA;Fry EE;Mongkolsapaya J;Diamond MS;Ren J;Stuart DI;Screaton GR
通讯作者：
Screaton GR
影响因子：
82.9
作者：
Amanat F;Stadlbauer D;Strohmeier S;Nguyen THO;Chromikova V;McMahon M;Jiang K;Arunkumar GA;Jurczyszak D;Polanco J;Bermudez-Gonzalez M;Kleiner G;Aydillo T;Miorin L;Fierer DS;Lugo LA;Kojic EM;Stoever J;Liu STH;Cunningham-Rundles C;Felgner PL;Moran T;García-Sastre A;Caplivski D;Cheng AC;Kedzierska K;Vapalahti O;Hepojoki JM;Simon V;Krammer F
通讯作者：
Krammer F
DOI：
10.3390/pathogens9100803
发表时间：
2020-09-28
期刊：
Pathogens (Basel, Switzerland)
影响因子：
--
作者：
Alandijany TA;El-Kafrawy SA;Tolah AM;Sohrab SS;Faizo AA;Hassan AM;Alsubhi TL;Othman NA;Azhar EI
通讯作者：
Azhar EI
影响因子：
2.9
作者：
Arevalo-Rodriguez I;Seron P;Buitrago-García D;Ciapponi A;Muriel A;Zambrano-Achig P;Del Campo R;Galán-Montemayor JC;Simancas-Racines D;Perez-Molina JA;Khan KS;Zamora J
通讯作者：
Zamora J