Seroepidemiologic Study Designs for Determining SARS-COV-2 Transmission and Immunity

被引:60
作者
Clapham, Hannah [1 ]
Hay, James [2 ]
Routledge, Isobel [3 ,4 ]
Takahashi, Saki [3 ,4 ]
Choisy, Marc [5 ]
Cummings, Derek [6 ]
Grenfell, Bryan [7 ]
Metcalf, C. Jessica E. [7 ]
Mina, Michael [2 ]
Rodriguez-Barraquer, Isabel [3 ,4 ]
Salje, Henrik [8 ]
Tam, Clarence C. [1 ,9 ]
机构
[1] Natl Univ Singapore, Saw Swee Hock Sch Publ Hlth, 16 Med Dr, Singapore 117597, Singapore
[2] Harvard Univ TH Chan Sch Publ Hlth, Boston, MA USA
[3] Univ Calif San Francisco, EPPIctr Program, San Francisco, CA 94143 USA
[4] Univ Calif San Francisco, Dept Med, San Francisco, CA 94143 USA
[5] Univ Oxford, Clin Res Unit Vietnam, Ho Chi Minh City, Vietnam
[6] Univ Florida, Dept Biol, Gainesville, FL USA
[7] Princeton Univ, Princeton, NJ 08544 USA
[8] Univ Cambridge, Cambridge, England
[9] London Sch Hyg & Trop Med, London, England
关键词
INFECTION;
D O I
10.3201/eid2609.201840
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Serologic studies are crucial for clarifying dynamics of the coronavirus disease pandemic. Past work on serologic studies (e.g., during influenza pandemics) has made relevant contributions, but specific conditions of the current situation require adaptation. Although detection of antibodies to measure exposure, immunity, or both seems straightforward conceptually, numerous challenges exist in terms of sample collection, what the presence of antibodies actually means, and appropriate analysis and interpretation to account for test accuracy and sampling biases. Successful deployment of serologic studies depends on type and performance of serologic tests, population studied, use of adequate study designs, and appropriate analysis and interpretation of data. We highlight key questions that serologic studies can help answer at different times, review strengths and limitations of different assay types and study designs, and discuss methods for rapid sharing and analysis of serologic data to determine global transmission of severe acute respiratory syndrome coronavirus 2.
引用
收藏
页码:1978 / 1986
页数:9
相关论文
共 24 条
  • [1] Amanat F, 2020, NAT MED, V26, P1033, DOI [10.1038/s41591-020-0913-5, 10.1101/2020.03.17.20037713]
  • [2] Burden of symptomatic dengue infection in children at primary school in Thailand: a prospective study
    Anderson, Katie B.
    Chunsuttiwat, Supamit
    Nisalak, Ananda
    Mammen, Mammen P.
    Libraty, Daniel H.
    Rothman, Alan L.
    Green, Sharone
    Vaughn, David W.
    Ennis, Francis A.
    Endy, Timothy P.
    [J]. LANCET, 2007, 369 (9571) : 1452 - 1459
  • [3] Estimating cholera incidence with cross-sectional serology
    Azman, Andrew S.
    Lessler, Justin
    Luquero, Francisco J.
    Bhuiyan, Taufiqur Rahman
    Khan, Ashraful Islam
    Chowdhury, Fahima
    Kabir, Alamgir
    Gurwith, Marc
    Weil, Ana A.
    Harris, Jason B.
    Calderwood, Stephen B.
    Ryan, Edward T.
    Qadri, Firdausi
    Leung, Daniel T.
    [J]. SCIENCE TRANSLATIONAL MEDICINE, 2019, 11 (480)
  • [4] What Is the Evidence to Support a Correlate of Protection for Measles? A Systematic Review
    Bolotin, Shelly
    Hughes, Stephanie L.
    Gul, Nazish
    Khan, Sumaiya
    Rota, Paul A.
    Severini, Alberto
    Hahne, Susan
    Tricco, Andrea
    Moss, William J.
    Orenstein, Walter
    Turner, Nikki
    Durrheim, David
    Heffernan, Jane M.
    Crowcroft, Natasha
    [J]. JOURNAL OF INFECTIOUS DISEASES, 2020, 221 (10) : 1576 - 1583
  • [5] Influenza Infection Rates, Measurement Errors and the Interpretation of Paired Serology
    Cauchemez, Simon
    Horby, Peter
    Fox, Annette
    Le Quynh Mai
    Le Thi Thanh
    Pham Quang Thai
    Le Nguyen Minh Hoa
    Nguyen Tran Hien
    Ferguson, Neil M.
    [J]. PLOS PATHOGENS, 2012, 8 (12)
  • [6] Center for Health Security Johns Hopkins Bloomberg School of Public Health, SER BAS TESTS COVID
  • [7] European Centre for Disease Prevention and Control, SER CALC TOO
  • [8] Nextstrain: real-time tracking of pathogen evolution
    Hadfield, James
    Megill, Colin
    Bell, Sidney M.
    Huddleston, John
    Potter, Barney
    Callender, Charlton
    Sagulenko, Pavel
    Bedford, Trevor
    Neher, Richard A.
    [J]. BIOINFORMATICS, 2018, 34 (23) : 4121 - 4123
  • [9] Hoze N., 2020, NATHOZE RSERO ESTIMA
  • [10] Larremore DB, ESTIMATING SARS COV