Seroprevalence of immunoglobulin M and G antibodies against SARS-CoV-2 in China
Detection of asymptomatic or subclinical novel human coronavirus SARS-CoV-2 infection is critical for understanding the overall prevalence and infection potential of COVID-19. To estimate the cumulative prevalence of SARS-CoV-2 infection in China, we evaluated the host serologic response, measured b...
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Published in | Nature medicine Vol. 26; no. 8; pp. 1193 - 1195 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
New York
Nature Publishing Group US
01.08.2020
Nature Publishing Group |
Subjects | |
Online Access | Get full text |
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Abstract | Detection of asymptomatic or subclinical novel human coronavirus SARS-CoV-2 infection is critical for understanding the overall prevalence and infection potential of COVID-19. To estimate the cumulative prevalence of SARS-CoV-2 infection in China, we evaluated the host serologic response, measured by the levels of immunoglobulins M and G in 17,368 individuals, in the city of Wuhan, the epicenter of the COVID-19 pandemic in China, and geographic regions in the country, during the period from 9 March 2020 to 10 April 2020. In our cohorts, the seropositivity in Wuhan varied between 3.2% and 3.8% in different subcohorts. Seroposivity progressively decreased in other cities as the distance to the epicenter increased. Patients who visited a hospital for maintenance hemodialysis and healthcare workers also had a higher seroprevalence of 3.3% (51 of 1,542, 2.5–4.3%, 95% confidence interval (CI)) and 1.8% (81 of 4,384, 1.5–2.3%, 95% CI), respectively. More studies are needed to determine whether these results are generalizable to other populations and geographic locations, as well as to determine at what rate seroprevalence is increasing with the progress of the COVID-19 pandemic. Serologic surveillance has the potential to provide a more faithful cumulative viral attack rate for the first season of this novel SARS-CoV-2 infection.
Initial results of serological surveillance in China provide valuable data for estimation of the cumulative prevalence of SARS-CoV-2 infection in the general population. |
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AbstractList | Detection of asymptomatic or subclinical novel human coronavirus SARS-CoV-2 infection is critical for understanding the overall prevalence and infection potential of COVID-19. To estimate the cumulative prevalence of SARS-CoV-2 infection in China, we evaluated the host serologic response, measured by the levels of immunoglobulins M and G in 17,368 individuals, in the city of Wuhan, the epicenter of the COVID-19 pandemic in China, and geographic regions in the country, during the period from 9 March 2020 to 10 April 2020. In our cohorts, the seropositivity in Wuhan varied between 3.2% and 3.8% in different subcohorts. Seroposivity progressively decreased in other cities as the distance to the epicenter increased. Patients who visited a hospital for maintenance hemodialysis and healthcare workers also had a higher seroprevalence of 3.3% (51 of 1,542, 2.5-4.3%, 95% confidence interval (CI)) and 1.8% (81 of 4,384, 1.5-2.3%, 95% CI), respectively. More studies are needed to determine whether these results are generalizable to other populations and geographic locations, as well as to determine at what rate seroprevalence is increasing with the progress of the COVID-19 pandemic. Serologic surveillance has the potential to provide a more faithful cumulative viral attack rate for the first season of this novel SARS-CoV-2 infection. Detection of asymptomatic or subclinical novel human coronavirus SARS-CoV-2 infection is critical for understanding the overall prevalence and infection potential of COVID-19. To estimate the cumulative prevalence of SARS-CoV-2 infection in China, we evaluated the host serologic response, measured by the levels of immunoglobulins M and G in 17,368 individuals, in the city of Wuhan, the epicenter of the COVID-19 pandemic in China, and geographic regions in the country, during the period from 9 March 2020 to 10 April 2020. In our cohorts, the seropositivity in Wuhan varied between 3.2% and 3.8% in different subcohorts. Seroposivity progressively decreased in other cities as the distance to the epicenter increased. Patients who visited a hospital for maintenance hemodialysis and healthcare workers also had a higher seroprevalence of 3.3% (51 of 1,542, 2.5–4.3%, 95% confidence interval (CI)) and 1.8% (81 of 4,384, 1.5–2.3%, 95% CI), respectively. More studies are needed to determine whether these results are generalizable to other populations and geographic locations, as well as to determine at what rate seroprevalence is increasing with the progress of the COVID-19 pandemic. Serologic surveillance has the potential to provide a more faithful cumulative viral attack rate for the first season of this novel SARS-CoV-2 infection. Initial results of serological surveillance in China provide valuable data for estimation of the cumulative prevalence of SARS-CoV-2 infection in the general population. Detection of asymptomatic or subclinical novel human coronavirus SARS-CoV-2 infection is critical for understanding the overall prevalence and infection potential of COVID-19. To estimate the cumulative prevalence of SARS-CoV-2 infection in China, we evaluated the host serologic response, measured by the levels of immunoglobulins M and G in 17,368 individuals, in the city of Wuhan, the epicenter of the COVID-19 pandemic in China, and geographic regions in the country, during the period from 9 March 2020 to 10 April 2020. In our cohorts, the seropositivity in Wuhan varied between 3.2% and 3.8% in different subcohorts. Seroposivity progressively decreased in other cities as the distance to the epicenter increased. Patients who visited a hospital for maintenance hemodialysis and healthcare workers also had a higher seroprevalence of 3.3% (51 of 1,542, 2.5-4.3%, 95% confidence interval (CI)) and 1.8% (81 of 4,384, 1.5-2.3%, 95% CI), respectively. More studies are needed to determine whether these results are generalizable to other populations and geographic locations, as well as to determine at what rate seroprevalence is increasing with the progress of the COVID-19 pandemic. Serologic surveillance has the potential to provide a more faithful cumulative viral attack rate for the first season of this novel SARS-CoV-2 infection. Initial results of serological surveillance in China provide valuable data for estimation of the cumulative prevalence of SARS-CoV-2 infection in the general population. Detection of asymptomatic or subclinical novel human coronavirus SARS-CoV-2 infection is critical for understanding the overall prevalence and infection potential of COVID-19. To estimate the cumulative prevalence of SARS-CoV-2 infection in China, we evaluated the host serologic response, measured by the levels of immunoglobulins M and G in 17,368 individuals, in the city of Wuhan, the epicenter of the COVID-19 pandemic in China, and geographic regions in the country, during the period from 9 March 2020 to 10 April 2020. In our cohorts, the seropositivity in Wuhan varied between 3.2% and 3.8% in different subcohorts. Seroposivity progressively decreased in other cities as the distance to the epicenter increased. Patients who visited a hospital for maintenance hemodialysis and healthcare workers also had a higher seroprevalence of 3.3% (51 of 1,542, 2.5-4.3%, 95% confidence interval (CI)) and 1.8% (81 of 4,384, 1.5-2.3%, 95% CI), respectively. More studies are needed to determine whether these results are generalizable to other populations and geographic locations, as well as to determine at what rate seroprevalence is increasing with the progress of the COVID-19 pandemic. Serologic surveillance has the potential to provide a more faithful cumulative viral attack rate for the first season of this novel SARS-CoV-2 infection.Detection of asymptomatic or subclinical novel human coronavirus SARS-CoV-2 infection is critical for understanding the overall prevalence and infection potential of COVID-19. To estimate the cumulative prevalence of SARS-CoV-2 infection in China, we evaluated the host serologic response, measured by the levels of immunoglobulins M and G in 17,368 individuals, in the city of Wuhan, the epicenter of the COVID-19 pandemic in China, and geographic regions in the country, during the period from 9 March 2020 to 10 April 2020. In our cohorts, the seropositivity in Wuhan varied between 3.2% and 3.8% in different subcohorts. Seroposivity progressively decreased in other cities as the distance to the epicenter increased. Patients who visited a hospital for maintenance hemodialysis and healthcare workers also had a higher seroprevalence of 3.3% (51 of 1,542, 2.5-4.3%, 95% confidence interval (CI)) and 1.8% (81 of 4,384, 1.5-2.3%, 95% CI), respectively. More studies are needed to determine whether these results are generalizable to other populations and geographic locations, as well as to determine at what rate seroprevalence is increasing with the progress of the COVID-19 pandemic. Serologic surveillance has the potential to provide a more faithful cumulative viral attack rate for the first season of this novel SARS-CoV-2 infection. |
Audience | Academic |
Author | Li, Huiyuan Gao, Shikui Shao, Yong Kong, Yaozhong Li, Dongfeng Yang, Zhenglin Zhang, Kang Zhu, Hong Hou, Jinlin Xu, Xin Huang, Ailong Wang, Guangyu Sun, Jian Huang, Xianzhong Ma, Tean Nie, Sheng Xie, Chunbao Hou, Fan Fan Jiang, Li Peng, Jiaqing Liang, Min Lau, Johnson Yiu-Nam |
Author_xml | – sequence: 1 givenname: Xin orcidid: 0000-0002-6324-5211 surname: Xu fullname: Xu, Xin organization: State Key Laboratory of Organ Failure Research, National Clinical Research Center for Kidney Disease, Nanfang Hospital, Southern Medical University – sequence: 2 givenname: Jian orcidid: 0000-0001-5320-227X surname: Sun fullname: Sun, Jian organization: State Key Laboratory of Organ Failure Research, National Clinical Research Center for Kidney Disease, Nanfang Hospital, Southern Medical University – sequence: 3 givenname: Sheng surname: Nie fullname: Nie, Sheng organization: State Key Laboratory of Organ Failure Research, National Clinical Research Center for Kidney Disease, Nanfang Hospital, Southern Medical University – sequence: 4 givenname: Huiyuan surname: Li fullname: Li, Huiyuan organization: Kingmed Center for Clinical Laboratory – sequence: 5 givenname: Yaozhong surname: Kong fullname: Kong, Yaozhong organization: The First People’s Hospital of Foshan – sequence: 6 givenname: Min surname: Liang fullname: Liang, Min organization: State Key Laboratory of Organ Failure Research, National Clinical Research Center for Kidney Disease, Nanfang Hospital, Southern Medical University – sequence: 7 givenname: Jinlin surname: Hou fullname: Hou, Jinlin organization: State Key Laboratory of Organ Failure Research, National Clinical Research Center for Kidney Disease, Nanfang Hospital, Southern Medical University – sequence: 8 givenname: Xianzhong surname: Huang fullname: Huang, Xianzhong organization: Kingmed Center for Clinical Laboratory – sequence: 9 givenname: Dongfeng surname: Li fullname: Li, Dongfeng organization: The People’s Hospital of Honghu – sequence: 10 givenname: Tean surname: Ma fullname: Ma, Tean organization: The First People’s Hospital of Jingzhou – sequence: 11 givenname: Jiaqing surname: Peng fullname: Peng, Jiaqing organization: Jingzhou Central Hospital – sequence: 12 givenname: Shikui surname: Gao fullname: Gao, Shikui organization: Honghu Traditional Chinese Medicine Hospital – sequence: 13 givenname: Yong surname: Shao fullname: Shao, Yong organization: The Second People’s Hospital of Honghu – sequence: 14 givenname: Hong surname: Zhu fullname: Zhu, Hong organization: Nanfang Hospital, Southern Medical University – sequence: 15 givenname: Johnson Yiu-Nam surname: Lau fullname: Lau, Johnson Yiu-Nam organization: Department of Applied Biology and Chemical Technology, Hong Kong Polytechnic University, Hung Hom – sequence: 16 givenname: Guangyu surname: Wang fullname: Wang, Guangyu organization: Department of Computer Science and Technology, Tsinghua University – sequence: 17 givenname: Chunbao surname: Xie fullname: Xie, Chunbao organization: The Sichuan Provincial Key Laboratory of Human Disease Study, Institute of Laboratory Medicine, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China – sequence: 18 givenname: Li surname: Jiang fullname: Jiang, Li organization: The Sichuan Provincial Key Laboratory of Human Disease Study, Institute of Laboratory Medicine, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China – sequence: 19 givenname: Ailong orcidid: 0000-0003-2225-9550 surname: Huang fullname: Huang, Ailong email: ahuang1964@163.com organization: Key Laboratory of Molecular Biology on Infectious Diseases, Ministry of Education, Chongqing Medical University – sequence: 20 givenname: Zhenglin orcidid: 0000-0002-4772-7448 surname: Yang fullname: Yang, Zhenglin email: zliny@yahoo.com organization: The Sichuan Provincial Key Laboratory of Human Disease Study, Institute of Laboratory Medicine, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China – sequence: 21 givenname: Kang orcidid: 0000-0002-4549-1697 surname: Zhang fullname: Zhang, Kang email: kang.zhang@gmail.com organization: Center for Biomedicine and Innovations, Faculty of Medicine, Macau University of Science and Technology, Guangzhou Regenerative Medicine and Health Guangdong Laboratory – sequence: 22 givenname: Fan Fan orcidid: 0000-0003-3117-7418 surname: Hou fullname: Hou, Fan Fan email: ffhouguangzhou@163.com organization: State Key Laboratory of Organ Failure Research, National Clinical Research Center for Kidney Disease, Nanfang Hospital, Southern Medical University, Guangzhou Regenerative Medicine and Health Guangdong Laboratory |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32504052$$D View this record in MEDLINE/PubMed |
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Cites_doi | 10.1056/NEJMc2005073 10.1056/NEJMp2000929 10.1056/NEJMoa2001017 10.1056/NEJMoa2002032 10.1038/s41591-020-0817-4 10.1016/S0140-6736(20)30183-5 10.1007/s11427-020-1661-4 10.1111/j.2517-6161.1976.tb01597.x 10.1038/s41591-020-0897-1 10.1001/jama.2020.1585 |
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