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Volume 26, Number 9—September 2020
Perspective

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

Hannah ClaphamComments to Author , James Hay1, Isobel Routledge1, Saki Takahashi1, Marc Choisy2, Derek Cummings2, Bryan Grenfell2, C. Jessica E. Metcalf2, Michael Mina2, Isabel Rodriguez Barraquer2, Henrik Salje2, and Clarence C. Tam2
Author affiliations: National University of Singapore Saw Swee Hock School of Public Health, Singapore (H. Clapham, C.C. Tam); Harvard University T.H. Chan School of Public Health, Boston, Massachusetts, USA (J. Hay, M. Mina); University of California San Francisco EPPIcenter Program, San Francisco, California, USA (I. Routledge, S. Takahashi, I. Rodriguez-Barraquer); University of California San Francisco Department of Medicine, San Francisco (I. Routledge, S. Takahashi, I. Rodriguez-Barraquer); Oxford University Clinical Research Unit–Vietnam, Ho Chi Minh City, Vietnam (M. Choisy); University of Florida Department of Biology, Gainesville, Florida, USA (D. Cummings); Princeton University, Princeton, New Jersey, USA (C.J.E. Metcalf, B. Grenfell); University of Cambridge, Cambridge, UK (H. Salje); London School of Hygiene and Tropical Medicine (C.C. Tam)

Main Article

Figure 2

Link between severe acute respiratory syndrome coronavirus 2 infection dynamics and serologic analysis designs. A) Example of results from cross-sectional population study design, indicating percentage of study population who are seropositive at each sample time point. B) Example of results from a cohort study design: percentage of study population who are seropositive at each sample time point. The difference in the study designs is shown in panels C and D. C) In a cross-sectional design, we on

Figure 2. Link between severe acute respiratory syndrome coronavirus 2 infection dynamics and serologic analysis designs. A) Example of results from cross-sectional population study design, indicating percentage of study population who are seropositive at each sample time point. B) Example of results from a cohort study design: percentage of study population who are seropositive at each sample time point. The difference in the study designs is shown in panels C and D. C) In a cross-sectional design, we only know proportions in the population; however, panel D shows an example of each person’s antibody titers over time, illustrating that in a cohort study we can follow the dynamics of antibody response over time (e.g., the proportion who seroconvert and person-to-person variability).

Main Article

1These first authors contributed equally to this article.

2These authors contributed equally to this article.

Page created: June 02, 2020
Page updated: August 18, 2020
Page reviewed: August 18, 2020
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