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Emerging Microbes & Infections Volume 11, 2022 - Issue 1
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Coronaviruses

SARS-CoV-2 IgG seropositivity after the severe Omicron wave of COVID-19 in Hong Kong

Rosana Wing-Shan Poona Department of Microbiology, Queen Mary Hospital, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of ChinaView further author information
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Brian Pui-Chun Chanb State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of ChinaView further author information
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Wan-Mui Chanb State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of ChinaView further author information
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Carol Ho-Yan Fongb State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of ChinaView further author information
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Xiaojuan Zhangb State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of ChinaView further author information
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Lu Lub State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of China;c Centre for Virology, Vaccinology and Therapeutics, Hong Kong Science and Technology Park, Pak Shek Kok, Hong Kong Special Administrative Region, People’s Republic of ChinaView further author information
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Lin-Lei Chenb State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of ChinaView further author information
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Joy-Yan Lamb State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of ChinaView further author information
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Vincent Chi-Chung Chenga Department of Microbiology, Queen Mary Hospital, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of China;b State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of ChinaView further author information
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Samson S. Y. Wonga Department of Microbiology, Queen Mary Hospital, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of China;b State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of ChinaView further author information
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Kin-Hang Kokb State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of ChinaORCID Iconhttps://orcid.org/0000-0003-3426-332XView further author information
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Kwok-Yung Yuena Department of Microbiology, Queen Mary Hospital, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of China;b State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of China;c Centre for Virology, Vaccinology and Therapeutics, Hong Kong Science and Technology Park, Pak Shek Kok, Hong Kong Special Administrative Region, People’s Republic of ChinaORCID Iconhttps://orcid.org/0000-0002-2083-1552View further author information
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Kelvin Kai-Wang Toa Department of Microbiology, Queen Mary Hospital, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of China;b State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of China;c Centre for Virology, Vaccinology and Therapeutics, Hong Kong Science and Technology Park, Pak Shek Kok, Hong Kong Special Administrative Region, People’s Republic of ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-1921-5824View further author information
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Pages 2116-2119 | Received 31 May 2022, Accepted 24 Jul 2022, Published online: 05 Sep 2022

Figures & data

Figure 1. Serosurveillance of the Hong Kong population in December 2021 and May 2022. (A) Age-specific anti-RBD IgG seropositive rates. Data represent the seropositive rate, and the error bar represents the 95% confidence interval. (B) Comparison of seropositive rates among <1, 1–2 and 3–9 year-old individuals in May 2022. Data represent the seropositive rate, and the error bar represents the 95% confidence interval. (C) Age-specific anti-RBD IgG levels in December 2021 and May 2022. Data represent geometric mean and error bar represents the 95% confidence interval. (D&E) Age-specific anti-N (D) and anti-ORF8 (E) IgG seropositive rates. Data represent the seropositive rate, and the error bar represents the 95% confidence interval. *P < 0.05; **P < 0.01; ***P < 0.001; ****P < 0.0001.

Figure 1. Serosurveillance of the Hong Kong population in December 2021 and May 2022. (A) Age-specific anti-RBD IgG seropositive rates. Data represent the seropositive rate, and the error bar represents the 95% confidence interval. (B) Comparison of seropositive rates among <1, 1–2 and 3–9 year-old individuals in May 2022. Data represent the seropositive rate, and the error bar represents the 95% confidence interval. (C) Age-specific anti-RBD IgG levels in December 2021 and May 2022. Data represent geometric mean and error bar represents the 95% confidence interval. (D&E) Age-specific anti-N (D) and anti-ORF8 (E) IgG seropositive rates. Data represent the seropositive rate, and the error bar represents the 95% confidence interval. *P < 0.05; **P < 0.01; ***P < 0.001; ****P < 0.0001.
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