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. 2020 Aug 28:jiaa523. doi: 10.1093/infdis/jiaa523
Are SARS-CoV-2 seroprevalence estimates biased?
Saki Takahashi
1, Bryan Greenhouse
1,2, Isabel Rodríguez-Barraquer
1,✉
Saki Takahashi, PhD
1
EPPIcenter Program; Division of HIV, ID, and Global Medicine; Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
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Bryan Greenhouse, MD, MA
1
EPPIcenter Program; Division of HIV, ID, and Global Medicine; Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
2
Chan Zuckerberg Biohub, San Francisco, CA, USA
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Isabel Rodríguez-Barraquer, MD, PhD
1
EPPIcenter Program; Division of HIV, ID, and Global Medicine; Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
Find articles by Isabel Rodríguez-Barraquer
1
EPPIcenter Program; Division of HIV, ID, and Global Medicine; Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
2
Chan Zuckerberg Biohub, San Francisco, CA, USA
✉
Corresponding author: Isabel Rodríguez-Barraquer, University of California, San Francisco, Division of HIV, ID, and Global Medicine, 995 Potrero Avenue, Ward 84, San Francisco, CA 94110, isabel.rodriguez@ucsf.edu, (628) 206-8844
Received 2020 Jun 11.
Keywords: COVID-19, SARS-CoV-2 seroprevalence, antibody testing, test performance, spectrum bias
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PMCID: PMC7499591 PMID: 32856712