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Bailón-Cuenca JA, Cortés-Sarabia K, Legorreta-Soberanis J, Alvarado-Castro VM, Juárez-Baltazar U, Sánchez-Gervacio BM, Vences-Velázquez A, Leyva-Vázquez MA, Del Moral-Hernández O, Illades-Aguiar B. Detection of IgG antibodies against the receptor binding domain of the spike protein and nucleocapsid of SARS-CoV-2 at university students from Southern Mexico: a cross-sectional study. BMC Infect Dis 2024; 24:584. [PMID: 38867165 PMCID: PMC11170790 DOI: 10.1186/s12879-024-09435-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 05/27/2024] [Indexed: 06/14/2024] Open
Abstract
BACKGROUND Natural infection and vaccination against SARS-CoV-2 is associated with the development of immunity against the structural proteins of the virus. Specifically, the two most immunogenic are the S (spike) and N (nucleocapsid) proteins. Seroprevalence studies performed in university students provide information to estimate the number of infected patients (symptomatic or asymptomatic) and generate knowledge about the viral spread, vaccine efficacy, and epidemiological control. Which, the aim of this study was to evaluate IgG antibodies against the S and N proteins of SARS-CoV-2 at university students from Southern Mexico. METHODS A total of 1418 serum samples were collected from eighteen work centers of the Autonomous University of Guerrero. Antibodies were detected by Indirect ELISA using as antigen peptides derived from the S and N proteins. RESULTS We reported a total seroprevalence of 39.9% anti-S/N (positive to both antigens), 14.1% anti-S and 0.5% anti-N. The highest seroprevalence was reported in the work centers from Costa Grande, Acapulco and Centro. Seroprevalence was associated with age, COVID-19, contact with infected patients, and vaccination. CONCLUSION University students could play an essential role in disseminating SARS-CoV-2. We reported a seroprevalence of 54.5% against the S and N proteins, which could be due to the high population rate and cultural resistance to safety measures against COVID-19 in the different regions of the state.
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Affiliation(s)
- Jesús Adolfo Bailón-Cuenca
- Laboratorio de Inmunobiología y Diagnóstico Molecular, Facultad de Ciencias Químico Biológicas, Universidad Autónoma de Guerrero, Chilpancingo de los Bravo, Guerrero, México
- Laboratorio de Biomedicina Molecular, Facultad de Ciencias Químico Biológicas, Universidad Autónoma de Guerrero, Chilpancingo de los Bravo, Guerrero, México
| | - Karen Cortés-Sarabia
- Laboratorio de Inmunobiología y Diagnóstico Molecular, Facultad de Ciencias Químico Biológicas, Universidad Autónoma de Guerrero, Chilpancingo de los Bravo, Guerrero, México
| | - José Legorreta-Soberanis
- Centro de Investigación de Enfermedades Tropicales, Universidad Autónoma de Guerrero, Acapulco, Guerrero, México
| | | | - Ulises Juárez-Baltazar
- Laboratorio de Inmunobiología y Diagnóstico Molecular, Facultad de Ciencias Químico Biológicas, Universidad Autónoma de Guerrero, Chilpancingo de los Bravo, Guerrero, México
| | | | - Amalia Vences-Velázquez
- Laboratorio de Inmunobiología y Diagnóstico Molecular, Facultad de Ciencias Químico Biológicas, Universidad Autónoma de Guerrero, Chilpancingo de los Bravo, Guerrero, México
| | - Marco Antonio Leyva-Vázquez
- Laboratorio de Biomedicina Molecular, Facultad de Ciencias Químico Biológicas, Universidad Autónoma de Guerrero, Chilpancingo de los Bravo, Guerrero, México
| | - Oscar Del Moral-Hernández
- Laboratorio de Virología, Facultad de Ciencias Químico Biológicas, Universidad Autónoma de Guerrero. Chilpancingo de los Bravo, Guerrero, México.
| | - Berenice Illades-Aguiar
- Laboratorio de Biomedicina Molecular, Facultad de Ciencias Químico Biológicas, Universidad Autónoma de Guerrero, Chilpancingo de los Bravo, Guerrero, México.
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Jeong IH, Kim JH, Kwon MJ, Kim J, Huh HJ, Kim B, Lee J, Nam JH, Kang ES. Realistic Estimation of COVID-19 Infection by Seroprevalence Surveillance of SARS-CoV-2 Antibodies: An Experience From Korea Metropolitan Area From January to May 2022. J Korean Med Sci 2024; 39:e43. [PMID: 38317445 PMCID: PMC10843975 DOI: 10.3346/jkms.2024.39.e43] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 11/28/2023] [Indexed: 02/07/2024] Open
Abstract
BACKGROUND Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has spread globally, leading to the coronavirus disease 2019 (COVID-19) pandemic. Because a significant proportion of the COVID-19 confirmed cases were concentrated in the capital metropolitan area of South Korea, and a large proportion of the population in the area had been adequately vaccinated against COVID-19, we conducted a seroprevalence surveillance study focusing on the residents of the capital metropolitan area in South Korea. METHODS We used a quota-sampling method to obtain blood samples from 1,000 individuals per round, equally stratified across seven age categories and sexes and regions, from five medical institutions located within the capital metropolitan area of South Korea. During five consecutive months (rounds) between January 2022 and May 2022, a total of 5,000 samples were analyzed for anti-spike (S) and anti-nucleocapsid (N) antibodies. RESULTS High anti-S seropositivity was observed in all age groups, which corresponded to the vaccine coverage during the study period. Both the cumulative incidence based on polymerase chain reaction (PCR) and the estimated seroprevalence based on anti-N seropositivity increased in the fourth and fifth rounds, which corresponded to April 2022 and May 2022. Seroprevalence coincided with the cumulative incidence during the first three rounds, but exceeded from the fourth survey onwards when infection with omicron variants was increased rapidly in Korea. CONCLUSION Seroprevalence confirmed the number of infection cases outside of PCR testing-based surveillance. Seroepidemiological surveillance can help us understand vaccine responses and detect hidden infections, thereby providing appropriate public health guidance for achieving population-level immunity.
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Affiliation(s)
- In Hwa Jeong
- Department of Laboratory Medicine, Dong-A University Hospital, Dong-A University College of Medicine, Busan, Korea
| | - Jong-Hun Kim
- Department of Social and Preventive Medicine, Sungkyunkwan University School of Medicine, Suwon, Korea
| | - Min-Jung Kwon
- Department of Laboratory Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jayoung Kim
- Department of Laboratory Medicine, International St. Mary's Hospital, College of Medicine, Catholic Kwandong University, Incheon, Korea
| | - Hee Jin Huh
- Department of Laboratory Medicine, Dongkuk University Medical Center, Goyang, Korea
| | - Byoungguk Kim
- Division of Clinical Vaccine Research, Center for Vaccine Research, National Institute of Infectious Diseases, National Institute of Health, Korea Disease Control and Prevention Agency, Cheongju, Korea
| | - Junewoo Lee
- Division of Clinical Vaccine Research, Center for Vaccine Research, National Institute of Infectious Diseases, National Institute of Health, Korea Disease Control and Prevention Agency, Cheongju, Korea
| | - Jeong-Hyun Nam
- Division of Clinical Vaccine Research, Center for Vaccine Research, National Institute of Infectious Diseases, National Institute of Health, Korea Disease Control and Prevention Agency, Cheongju, Korea
| | - Eun-Suk Kang
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
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Yared S, Abera T, Ali SM, Muhummed AM, Ibrahim M, Hassan A, Hattendorf J, Zinsstag J, Tschopp R. A community based seroprevalence of SARS-CoV-2 antibodies in Somali Region, Eastern Ethiopia. Immun Inflamm Dis 2024; 12:e1148. [PMID: 38270297 PMCID: PMC10777752 DOI: 10.1002/iid3.1148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 12/25/2023] [Accepted: 12/28/2023] [Indexed: 01/26/2024] Open
Abstract
BACKGROUND Coronavirus disease 19 (COVID-19) is life-threatening infectious disease caused by SARS-CoV-2 virus that caused a global pandemic. SARS-CoV-2 has been widely transmitted throughout Ethiopia, with over 501,060 cases confirmed and 7574 deaths until November 2023. This study assessed for the first time the seroprevalence SARS-CoV-2 in the general population of the Somali Region during the COVID-19 pandemic. METHODS A cross-sectional study design was conducted from May to June 2021 in 14 districts of Somali Region. Blood samples were collected in 820 participants in addition to administering a questionnaire that included sociodemographic characteristics and history of clinical symptoms of COVID-19. Blood samples were tested for the presence or absence of anti-SARS-CoV-2 using a commercial Enzyme-Linked Immunosorbent Assay (ELISA) kit (Euroimmun). RESULTS Overall, 477 (58.2%) were male and 343 (41.8%) were female. The majority of the participants (N = 581; 70.9%) were between 18 and 34 years old and not vaccinated against COVID-19 (N = 793; 96.7%). The overall seroprevalence of SARS-CoV-2 antibodies was 41.7% (95% CI: 33.3%-47.6%). The highest prevalence was found in Goljano district (70%) and the lowest in Gunagado district (22.5%). Only age was found to be associated with COVID-19 seropositivity. CONCLUSION Prevalence of SARS-CoV-2 antibodies was the highest ever reported in Ethiopia, indicating that a large proportion of the population had been infected 14 months after the start of the outbreak in the country. Such studies are important to swiftly reassess and improve specific COVID-19 preventive and control measures to reduce transmissions within the community in a given setting.
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Affiliation(s)
- Solomon Yared
- Department of Biology, College of Natural and Computational SciencesJigjiga UniversityJigjigaEthiopia
| | - Tsegalem Abera
- Department of Veterinary Microbiology and Public Health, College of Veterinary MedicineJigjiga UniversityJigjigaEthiopia
| | - Seid Mohammed Ali
- Department of Animal and Range Sciences, College of Dryland AgricultureJigjiga UniversityJigjigaEthiopia
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health InstituteUniversity of BaselBaselSwitzerland
| | - Abdifatah Muktar Muhummed
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health InstituteUniversity of BaselBaselSwitzerland
- School of Medicine, College of Medicine and Health SciencesJigjiga UniversityJigjigaEthiopia
| | - Mohammed Ibrahim
- Department of Veterinary Microbiology and Public Health, College of Veterinary MedicineJigjiga UniversityJigjigaEthiopia
| | - Abdullahi Hassan
- School of Medicine, College of Medicine and Health SciencesJigjiga UniversityJigjigaEthiopia
| | - Jan Hattendorf
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health InstituteUniversity of BaselBaselSwitzerland
| | - Jakob Zinsstag
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health InstituteUniversity of BaselBaselSwitzerland
| | - Rea Tschopp
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health InstituteUniversity of BaselBaselSwitzerland
- One Health UnitArmauer Hansen Research InstituteAddis AbabaEthiopia
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Han J, Baek HJ, Noh E, Yoon K, Kim JA, Ryu S, Lee KO, Park NY, Jung E, Kim S, Lee H, Hwang YS, Jung J, Lee HJ, Cho SI, Oh S, Kim M, Oh CM, Yu B, Hong YS, Kim K, Jung S, Han MA, Lee MS, Lee JJ, Hwangbo Y, Yim HW, Kim YM, Lee J, Lee WY, Park JH, Oh S, Jo HS, Kim H, Kang G, Nam HS, Lee JH, Oh GJ, Shin MH, Ryu S, Hwang TY, Park SW, Kim SK, Seol R, Park KS, Kim SY, Kwon JW, Kim SS, Kim B, Lee JW, Jang EY, Kim AR, Nam J, Lee SY, Kim DH. Korea Seroprevalence Study of Monitoring of SARS-COV-2 Antibody Retention and Transmission (K-SEROSMART): findings from national representative sample. Epidemiol Health 2023; 45:e2023075. [PMID: 37591786 PMCID: PMC10728614 DOI: 10.4178/epih.e2023075] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Accepted: 06/13/2023] [Indexed: 08/19/2023] Open
Abstract
OBJECTIVES We estimated the population prevalence of antibodies to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), including unreported infections, through a Korea Seroprevalence Study of Monitoring of SARS-CoV-2 Antibody Retention and Transmission (K-SEROSMART) in 258 communities throughout Korea. METHODS In August 2022, a survey was conducted among 10,000 household members aged 5 years and older, in households selected through two stage probability random sampling. During face-to-face household interviews, participants self-reported their health status, COVID-19 diagnosis and vaccination history, and general characteristics. Subsequently, participants visited a community health center or medical clinic for blood sampling. Blood samples were analyzed for the presence of antibodies to spike proteins (anti-S) and antibodies to nucleocapsid proteins (anti-N) SARS-CoV-2 proteins using an electrochemiluminescence immunoassay. To estimate the population prevalence, the PROC SURVEYMEANS statistical procedure was employed, with weighting to reflect demographic data from July 2022. RESULTS In total, 9,945 individuals from 5,041 households were surveyed across 258 communities, representing all basic local governments in Korea. The overall population-adjusted prevalence rates of anti-S and anti-N were 97.6% and 57.1%, respectively. Since the Korea Disease Control and Prevention Agency has reported a cumulative incidence of confirmed cases of 37.8% through July 31, 2022, the proportion of unreported infections among all COVID-19 infection was suggested to be 33.9%. CONCLUSIONS The K-SEROSMART represents the first nationwide, community-based seroepidemiologic survey of COVID-19, confirming that most individuals possess antibodies to SARS-CoV-2 and that a significant number of unreported cases existed. Furthermore, this study lays the foundation for a surveillance system to continuously monitor transmission at the community level and the response to COVID-19.
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Affiliation(s)
- Jina Han
- Department of Preventive Medicine and Public Health, Ajou University School of Medicine, Suwon, Korea
| | - Hye Jin Baek
- Department of Preventive Medicine and Public Health, Ajou University School of Medicine, Suwon, Korea
| | - Eunbi Noh
- National Radiation Emergency Medical Center, Korea Institute of Radiological and Medical Sciences, Seoul, Korea
| | - Kyuhyun Yoon
- Institute of Health and Environment, Seoul National University, Seoul, Korea
| | - Jung Ae Kim
- Department of Nursing, Kyungmin University, Uijeongbu, Korea
| | - Sukhyun Ryu
- Department of Preventive Medicine, Konyang University College of Medicine, Daejeon, Korea
| | | | - No Yai Park
- Graduate School of Public Health, Inje University, Seoul, Korea
| | - Eunok Jung
- Department of Mathematics, Konkuk University, Seoul, Korea
| | - Sangil Kim
- Department of Internal Medicine, College of Medicine, The Catholic University, Seoul, Korea
| | - Hyukmin Lee
- Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul, Korea
| | | | - Jaehun Jung
- Department of Preventive Medicine, Gachon University College of Medicine, Incheon, Korea
| | - Hun Jae Lee
- Department of Social and Preventive Medicine, Inha University College of Medicine, Incheon, Korea
| | - Sung-il Cho
- Institute of Health and Environment, Seoul National University, Seoul, Korea
- Department of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul, Korea
| | | | | | - Chang-Mo Oh
- Department of Preventive Medicine, Kyung Hee University School of Medicine, Seoul, Korea
| | - Byengchul Yu
- Department of Preventive Medicine, Kosin University College of Medicine, Busan, Korea
| | - Young-Seoub Hong
- Department of Preventive Medicine, Dong-A University College of Medicine, Busan, Korea
| | - Keonyeop Kim
- Department of Preventive Medicine, Kyungpook National University School of Medicine, Daegu, Korea
| | - Sunjae Jung
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - Mi Ah Han
- Department of Preventive Medicine, Chosun University College of Medicine, Gwangju, Korea
| | - Moo-Sik Lee
- Department of Preventive Medicine, Konyang University College of Medicine, Daejeon, Korea
| | - Jung-Jeung Lee
- Department of Preventive Medicine, Keimyung University School of Medicine, Daegu, Korea
| | - Young Hwangbo
- Department of Preventive Medicine, Soonchunhyang University College of Medicine, Cheonan, Korea
| | - Hyeon Woo Yim
- Department of Preventive Medicine, College of Medicine, The Catholic University, Seoul, Korea
| | - Yu-Mi Kim
- Department of Preventive Medicine, Hanyang University College of Medicine, Seoul, Korea
- School of Public Health, Hanyang University, Seoul, Korea
| | - Joongyub Lee
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
- Institute of Health Policy and Management, Medical Research Center, Seoul National University, Seoul, Korea
| | - Weon-Young Lee
- Department of Preventive Medicine, Chung-Ang University College of Medicine, Seoul, Korea
| | - Jae-Hyun Park
- Department of Preventive Medicine, Sungkyunkwan University School of Medicine, Suwon, Korea
| | - Sungsoo Oh
- Department of Occupational & Environmental Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea
| | - Heui Sug Jo
- Department of Health Policy and Management, Kangwon National University School of Medicine, Chuncheon, Korea
| | - Hyeongsu Kim
- Department of Preventive Medicine, Konkuk University School of Medicine, Seoul, Korea
| | - Gilwon Kang
- Department of Health Information and Management, Chungbuk National University College of Medicine, Cheongju, Korea
| | - Hae-Sung Nam
- Department of Preventive Medicine, Chungnam National University College of Medicine, Daejeon, Korea
| | - Ju-Hyung Lee
- Department of Preventive Medicine, Jeonbuk National University Medical School, Jeonju, Korea
| | - Gyung-Jae Oh
- Department of Preventive Medicine, Wonkwang University School of Medicine, Iksan, Korea
| | - Min-Ho Shin
- Department of Preventive Medicine, Chonnam National University Medical School, Hwasun, Korea
| | - Soyeon Ryu
- Department of Preventive Medicine, Chosun University College of Medicine, Gwangju, Korea
| | - Tae-Yoon Hwang
- Department of Preventive Medicine & Public Health, Yeungnam University College of Medicine, Gyeongsan, Korea
| | - Soon-Woo Park
- Department of Preventive Medicine, Daegu Catholic University School of Medicine, Gyeongsan, Korea
| | - Sang Kyu Kim
- Department of Preventive Medicine, Dongguk University College of Medicine, Gyeongju, Korea
| | - Roma Seol
- Department of Preventive Medicine, Inje University College of Medicine, Busan, Korea
| | - Ki-Soo Park
- Department of Preventive Medicine, Institute of Health Sciences, Gyeongsang National University College of Medicine, Jinju, Korea
| | - Su Young Kim
- Department of Preventive Medicine, Jeju National University School of Medicine, Jeju, Korea
| | - Jun-wook Kwon
- National Institute of Health, Korea Disease Control and Prevention Agency, Cheongju, Korea
| | - Sung Soon Kim
- Center for Vaccine Research, National Institute of Infectious Diseases, Korea Disease Control and Prevention Agency, Cheongju, Korea
| | - Byoungguk Kim
- Division of Vaccine Clinical Research, Center for Vaccine Research, National Institute of Infectious Diseases, Cheongju, Korea
| | - June-Woo Lee
- Division of Vaccine Clinical Research, Center for Vaccine Research, National Institute of Infectious Diseases, Cheongju, Korea
| | - Eun Young Jang
- Division of Vaccine Clinical Research, Center for Vaccine Research, National Institute of Infectious Diseases, Cheongju, Korea
| | - Ah-Ra Kim
- Division of Vaccine Clinical Research, Center for Vaccine Research, National Institute of Infectious Diseases, Cheongju, Korea
| | - Jeonghyun Nam
- Division of Vaccine Clinical Research, Center for Vaccine Research, National Institute of Infectious Diseases, Cheongju, Korea
| | - The Korea Community Health Survey Group
- Department of Preventive Medicine and Public Health, Ajou University School of Medicine, Suwon, Korea
- National Radiation Emergency Medical Center, Korea Institute of Radiological and Medical Sciences, Seoul, Korea
- Institute of Health and Environment, Seoul National University, Seoul, Korea
- Department of Nursing, Kyungmin University, Uijeongbu, Korea
- Department of Preventive Medicine, Konyang University College of Medicine, Daejeon, Korea
- Gallup Korea, Seoul, Korea
- Graduate School of Public Health, Inje University, Seoul, Korea
- Department of Mathematics, Konkuk University, Seoul, Korea
- Department of Internal Medicine, College of Medicine, The Catholic University, Seoul, Korea
- Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul, Korea
- Seegene Medical Foundation, Seoul, Korea
- Department of Preventive Medicine, Gachon University College of Medicine, Incheon, Korea
- Department of Social and Preventive Medicine, Inha University College of Medicine, Incheon, Korea
- Department of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul, Korea
- MAPO-gu Public Health Center, Seoul, Korea
- GUNPO-si Public Health Center, Gunpo, Korea
- Department of Preventive Medicine, Kyung Hee University School of Medicine, Seoul, Korea
- Department of Preventive Medicine, Kosin University College of Medicine, Busan, Korea
- Department of Preventive Medicine, Dong-A University College of Medicine, Busan, Korea
- Department of Preventive Medicine, Kyungpook National University School of Medicine, Daegu, Korea
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea
- Department of Preventive Medicine, Chosun University College of Medicine, Gwangju, Korea
- Department of Preventive Medicine, Keimyung University School of Medicine, Daegu, Korea
- Department of Preventive Medicine, Soonchunhyang University College of Medicine, Cheonan, Korea
- Department of Preventive Medicine, College of Medicine, The Catholic University, Seoul, Korea
- Department of Preventive Medicine, Hanyang University College of Medicine, Seoul, Korea
- School of Public Health, Hanyang University, Seoul, Korea
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
- Institute of Health Policy and Management, Medical Research Center, Seoul National University, Seoul, Korea
- Department of Preventive Medicine, Chung-Ang University College of Medicine, Seoul, Korea
- Department of Preventive Medicine, Sungkyunkwan University School of Medicine, Suwon, Korea
- Department of Occupational & Environmental Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea
- Department of Health Policy and Management, Kangwon National University School of Medicine, Chuncheon, Korea
- Department of Preventive Medicine, Konkuk University School of Medicine, Seoul, Korea
- Department of Health Information and Management, Chungbuk National University College of Medicine, Cheongju, Korea
- Department of Preventive Medicine, Chungnam National University College of Medicine, Daejeon, Korea
- Department of Preventive Medicine, Jeonbuk National University Medical School, Jeonju, Korea
- Department of Preventive Medicine, Wonkwang University School of Medicine, Iksan, Korea
- Department of Preventive Medicine, Chonnam National University Medical School, Hwasun, Korea
- Department of Preventive Medicine & Public Health, Yeungnam University College of Medicine, Gyeongsan, Korea
- Department of Preventive Medicine, Daegu Catholic University School of Medicine, Gyeongsan, Korea
- Department of Preventive Medicine, Dongguk University College of Medicine, Gyeongju, Korea
- Department of Preventive Medicine, Inje University College of Medicine, Busan, Korea
- Department of Preventive Medicine, Institute of Health Sciences, Gyeongsang National University College of Medicine, Jinju, Korea
- Department of Preventive Medicine, Jeju National University School of Medicine, Jeju, Korea
- National Institute of Health, Korea Disease Control and Prevention Agency, Cheongju, Korea
- Center for Vaccine Research, National Institute of Infectious Diseases, Korea Disease Control and Prevention Agency, Cheongju, Korea
- Division of Vaccine Clinical Research, Center for Vaccine Research, National Institute of Infectious Diseases, Cheongju, Korea
- Department of Social and Preventive Medicine, Hallym University College of Medicine, Chuncheon, Korea
| | - Soon Young Lee
- Department of Preventive Medicine and Public Health, Ajou University School of Medicine, Suwon, Korea
| | - Dong-Hyun Kim
- Department of Social and Preventive Medicine, Hallym University College of Medicine, Chuncheon, Korea
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Muacevic A, Adler JR, Almudaiheem A, Almutlaq H, Alqunaibet A, Alseraihi H, Alaswad R, Khoja AT, AlAbdulkareem K, AlSaif F, Abu Saris R. Community-Based Seroprevelance of SARS-CoV-2 in Saudi Arabia. Cureus 2022; 14:e32419. [PMID: 36636543 PMCID: PMC9832282 DOI: 10.7759/cureus.32419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/11/2022] [Indexed: 12/14/2022] Open
Abstract
Introduction The new coronavirus disease 2019 (COVID-19) is a major global concern. Due to the number of asymptomatic cases that go untested, the actual proportion of those who have been infected is likely to be higher than the reported prevalence. Thus, investigating the exact proportion of those who developed antibodies against the virus through serological surveys is crucial to identify the immune status of the population and direct public health decisions accordingly. Objectives The aim of this study is to estimate the seroprevalence of SARS-CoV-2 in the community and to describe the epidemiological characteristics of the discovered cases. Methods Between July and October 2020, a cross-sectional sero-survey was conducted including a total of 15,873 serum samples collected from seven regions within the kingdom. Using a multistage convenient sampling, people were invited to participate in an interviewer-administrated questionnaire. Afterward, blood samples were collected and seroprevalence was determined using the SARS-CoV-2 virus IgG/IgM antibody detection kits (ELISA). A p-value of <0.05 and 95% CI were used to report the significance. Results The overall seroprevalence of SARS-CoV-2 in the sample was 17.0%, and Makkah region constituted the highest number of reactive cases (33.3%). There was a significant association between all comorbidities and having symptoms except for diabetes. In addition, age, education, nationality, and region were all significant predeterminants of sero-result. Also, contact with a confirmed or suspected case increased the risk of being seropositive by nearly 1.5 times. Conclusion This study estimated the national seroprevalence of SARS-CoV-2 in Saudi Arabia to be 17%. At the time of this study, most of the population did not have the SARS-CoV-2 specific antibodies. This suggests that the population is still below the threshold of herd immunity and emphasizes the importance of mass vaccination programs and abiding by recommended prevention precautions.
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Lee J, Choe YJ, Minn D, Kim JH. The Seroprevalence of SARS-CoV-2 in Children During Early COVID-19 Pandemic in Korea: A Nationwide, Population-Based Study. J Korean Med Sci 2022; 37:e314. [PMID: 36377292 PMCID: PMC9667015 DOI: 10.3346/jkms.2022.37.e314] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Accepted: 09/06/2022] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND Coronavirus disease 2019 (COVID-19) is often asymptomatic and associated with mild clinical symptoms in children. Social distancing measures have led to a relatively small number of confirmed COVID-19 cases in Korea than in other countries in the earlier pandemic phase. Previous seroprevalence studies in Korean adults before the introduction of COVID-19 vaccination campaign have shown a low antibody positivity rate. However, data on COVID-19 seroprevalence in Korean children remained scarce. In this study, we assessed the seroprevalence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in children in Korea. METHODS Between December 2020 and March 2021, stratified serum samples were collected from children aged 0-18 years in 17 different regions across the country. The SARS-CoV-2 antibody test was conducted using an electro-chemiluminescence immunoassay (ECLIA) to detect the antibodies against nucleocapsid antigens of SARS-CoV-2. Samples that tested positive using the ECLIA were reflexed to an additional plaque reduction neutralization test (PRNT) for SARS-CoV-2. RESULTS A total of 1,887 samples were collected. Excluding 21 samples collected from regional medical centers, 1,866 samples were included in the final analysis. Two samples (0.11%) were positive for the antibodies against nucleocapsid antigens of SARS-CoV-2. Both samples were shown to have neutralizing antibodies for SARS-CoV-2 via PRNT. CONCLUSION After 1 year since the start of COVID-19 pandemic, the seroprevalence of SARS-CoV-2 among Korean children was 0.11%, which was lower than the adults (0.52%) in another study conducted during a similar period. In the early stages of the COVID-19 pandemic, the seroprevalence of SARS-CoV-2 in Korea was lower than those of other countries, which was presumed to be the consequence of a very strong social distancing measures.
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Affiliation(s)
- Jin Lee
- Department of Pediatrics, Incheon St. Mary's Hospital, The Catholic University of Korea, Incheon, Korea
| | - Young June Choe
- Department of Pediatrics, Korea University Anam Hospital, Seoul, Korea
| | - Dohsik Minn
- Department of Diagnostic Immunology, Seegene Medical Foundation, Seoul, Korea
| | - Jong-Hyun Kim
- Department of Pediatrics, St. Vincent's Hospital, The Catholic University of Korea, Suwon, Korea.
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7
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Hajissa K, Mussa A, Karobari MI, Abbas MA, Ibrahim IK, Assiry AA, Iqbal A, Alhumaid S, Mutair AA, Rabaan AA, Messina P, Scardina GA. The SARS-CoV-2 Antibodies, Their Diagnostic Utility, and Their Potential for Vaccine Development. Vaccines (Basel) 2022; 10:1346. [PMID: 36016233 PMCID: PMC9412318 DOI: 10.3390/vaccines10081346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 08/14/2022] [Accepted: 08/15/2022] [Indexed: 11/30/2022] Open
Abstract
Antibodies (Abs) are important immune mediators and powerful diagnostic markers in a wide range of infectious diseases. Understanding the humoral immunity or the development of effective antibodies against SARS-CoV-2 is a prerequisite for limiting disease burden in the community and aids in the development of new diagnostic, therapeutic, and vaccination options. Accordingly, the role of antiviral antibodies in the resistance to and diagnosis of SARS-CoV-2 infection was explored. Antibody testing showed the potential in adding important diagnostic value to the routine diagnosis and clinical management of COVID-19. They could also play a critical role in COVID-19 surveillance, allowing for a better understanding of the full scope of the disease. The development of several vaccines and the success of passive immunotherapy suggest that anti-SARS-CoV-2 antibodies have the potential to be used in the treatment and prevention of SARS-CoV-2 infection. In this review, we highlight the role of antibodies in the diagnosis of SARS-CoV-2 infection and provide an update on their protective roles in controlling SARS-CoV-2 infection as well as vaccine development.
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Affiliation(s)
- Khalid Hajissa
- Department of Medical Microbiology & Parasitology, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Kota Bharu 16150, Kelantan, Malaysia
- Department of Zoology, Faculty of Science and Technology, Omdurman Islamic University, Omdurman P.O. Box 382, Sudan
| | - Ali Mussa
- Department of Haematology, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Kota Bharu 16150, Kelantan, Malaysia
- Department of Biology, Faculty of Education, Omdurman Islamic University, Omdurman P.O. Box 382, Sudan
| | - Mohmed Isaqali Karobari
- Conservative Dentistry Unit, School of Dental Sciences, Universiti Sains Malaysia, Health Campus, Kubang Kerian, Kota Bharu 16150, Kelantan, Malaysia
- Department of Conservative Dentistry & Endodontics, Saveetha Dental College & Hospitals, Saveetha Institute of Medical and Technical Sciences University, Chennai 600077, Tamil Nadu, India
- Department of Restorative Dentistry & Endodontics, Faculty of Dentistry, University of Puthisastra, Phnom Penh 12211, Cambodia
| | - Muhammad Adamu Abbas
- Department of Medical Microbiology and Parasitology, College of Health Sciences, Bayero University Kano, Kano 3011, Nigeria
| | - Ibrahim Khider Ibrahim
- Department of Haematology, Faculty of Medical Laboratory Sciences, Al Neelain University, Khartoum 11111, Sudan
| | - Ali A Assiry
- Preventive Dental Science Department, Faculty of Dentistry, Najran University, Najran 55461, Saudi Arabia
| | - Azhar Iqbal
- Department of Restorative Dentistry, College of Dentistry, Jouf University, Sakaka 72345, Saudi Arabia
| | - Saad Alhumaid
- Administration of Pharmaceutical Care, Al-Ahsa Health Cluster, Ministry of Health, Al-Ahsa 31982, Saudi Arabia
| | - Abbas Al Mutair
- Research Center, Almoosa Specialist Hospital, Al-Ahsa 36342, Saudi Arabia
- College of Nursing, Princess Norah Bint Abdulrahman University, Riyadh 11564, Saudi Arabia
- School of Nursing, Wollongong University, Wollongong, NSW 2522, Australia
- Nursing Department, Prince Sultan Military College of Health Sciences, Dhahran 33048, Saudi Arabia
| | - Ali A. Rabaan
- Molecular Diagnostic Laboratory, Johns Hopkins Aramco Healthcare, Dhahran 31311, Saudi Arabia
- College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia
- Department of Public Health and Nutrition, The University of Haripur, Haripur 22610, Pakistan
| | - Pietro Messina
- Department of Surgical, Oncological and Stomatological Disciplines, University of Palermo, 90133 Palermo, Italy
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Borel M, Xie L, Kapera O, Mihalcea A, Kahn J, Messiah SE. Long-term physical, mental and social health effects of COVID-19 in the pediatric population: a scoping review. World J Pediatr 2022; 18:149-159. [PMID: 35118594 PMCID: PMC8812346 DOI: 10.1007/s12519-022-00515-7] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Accepted: 12/26/2021] [Indexed: 12/19/2022]
Abstract
BACKGROUND The majority of coronavirus disease 2019 (COVID-19) symptom presentations in adults and children appear to run their course within a couple of weeks. However, a subgroup of adults has started to emerge with effects lasting several months or more after initial infection, which raises questions about the long-term physical, mental and social health effects of COVID-19 in the pediatric population. The purpose of this review was to determine these impacts well into the second year of the pandemic. METHODS A search was conducted using PubMed, Web of Science, Science Direct, and Cochrane between 11/1/2019 and 9/1/2021. Search inclusion criteria were as follows: (1) COVID-19 illness and symptoms in children; (2) severe acute respiratory syndrome coronavirus 2 in children; (3) English language; and (4) human studies only. RESULTS The few studies that have documented long-term physical symptoms in children show that fatigue, difficulty in concentrating (brain fog), sleep disturbances, and sensory problems are the most reported outcomes. Most studies examining the impact of COVID-19 in pediatric populations have focused on initial clinical presentation, and symptoms, which are similar to those in adult populations. In addition, COVID-19 has had a moderate impact on children and adolescents' social environment, which may exacerbate current and future physiological, psychological, behavioral, and academic outcomes. CONCLUSIONS There are limited studies reporting long physical symptoms of COVID-19 in the pediatric population. However, pediatric COVID-19 cases are underreported due to low rates of testing and symptomatic infection, which calls for more longitudinal studies. Children who have experienced COVID-19 illness should be monitored for long physiological, psychological, behavioral, and academic outcomes.
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Affiliation(s)
- Madeline Borel
- School of Public Health, University of Texas Health Science Center, Dallas Campus, 2777 N Stemmons Fwy, Dallas, TX, 75207, USA
- Center for Pediatric Population Health, University of Texas Health School of Public Health and Children's Health System of Texas, Dallas, TX, USA
| | - Luyu Xie
- School of Public Health, University of Texas Health Science Center, Dallas Campus, 2777 N Stemmons Fwy, Dallas, TX, 75207, USA
- Center for Pediatric Population Health, University of Texas Health School of Public Health and Children's Health System of Texas, Dallas, TX, USA
| | - Olivia Kapera
- Center for Pediatric Population Health, University of Texas Health School of Public Health and Children's Health System of Texas, Dallas, TX, USA
- School of Public Health, University of Texas Health Science Center, Austin Campus, Austin, TX, USA
| | - Adrian Mihalcea
- Center for Pediatric Population Health, University of Texas Health School of Public Health and Children's Health System of Texas, Dallas, TX, USA
- School of Public Health, University of Texas Health Science Center, Houston Campus, Houston, TX, USA
| | - Jeffrey Kahn
- Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX, USA
- Children's Health System of Texas, Dallas, TX, USA
| | - Sarah E Messiah
- School of Public Health, University of Texas Health Science Center, Dallas Campus, 2777 N Stemmons Fwy, Dallas, TX, 75207, USA.
- Center for Pediatric Population Health, University of Texas Health School of Public Health and Children's Health System of Texas, Dallas, TX, USA.
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9
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Nguyen HHH, Nguyen QH, Truong DTT, Dao MH, Le TN, Nguyen HT, Nguyen AH, Nguyen TV, Hoang DTN, Hoang LK, Tran TT, Cao TM, Luong QC, Phan LT, Huynh LTK, Nguyen TV, Pham QD. Seroprevalence of SARS-CoV-2 Neutralizing Antibodies among Blood Donors in Ho Chi Minh City, Vietnam, August-November 2020. Am J Trop Med Hyg 2022; 106:891-895. [PMID: 35081510 PMCID: PMC8922498 DOI: 10.4269/ajtmh.21-0259] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Accepted: 01/05/2022] [Indexed: 12/27/2022] Open
Abstract
Relatively little is known about the seroprevalence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) IgG antibodies and COVID-19-related behaviors in the general population in Vietnam, where the first case of COVID-19 was detected on January 22, 2020. We surveyed a group of 885 blood donors at community blood donation sessions in Ho Chi Minh City from August 27 to November 7, 2020. Blood was collected to test for SARS-CoV-2 IgG antibodies using the plaque reduction neutralization test. We adjusted the seroprevalence by weight for ages 18 to 59 years old obtained from the 2019 population census. The weighted seroprevalence estimate for SARS-CoV-2 neutralizing IgG antibodies was 0.20% (95% CI, 0.05-0.81). Reports of usually or always using a mask in public places were observed at high levels of 28.6% and 67.5%, respectively. The percentages of usually or always washing hands with soap or disinfecting with hand sanitizer after touching items in public places were 48.0% and 37.6%, respectively. Although our findings suggest undocumented exposure to the virus, the seroprevalence of SARS-CoV-2 IgG antibodies among blood donors was low in this city.
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Affiliation(s)
- Hanh Hong Ho Nguyen
- Training Center, Pasteur Institute of Ho Chi Minh City, Ho Chi Minh City, Vietnam;,School of Medicine, Vietnam National University, Ho Chi Minh City, Vietnam;,Viet-Anh Department, Hospital for Tropical Diseases, Ho Chi Minh City, Vietnam
| | - Quan Hoang Nguyen
- Microbiology and Immunology Department, Pasteur Institute of Ho Chi Minh City, Ho Chi Minh City, Vietnam
| | - Dung Thi Thuy Truong
- Department for Disease Control and Prevention, Pasteur Institute of Ho Chi Minh City, Ho Chi Minh City, Vietnam
| | - Manh Huy Dao
- Microbiology and Immunology Department, Pasteur Institute of Ho Chi Minh City, Ho Chi Minh City, Vietnam
| | - Tu Ngoc Le
- Department for Disease Control and Prevention, Pasteur Institute of Ho Chi Minh City, Ho Chi Minh City, Vietnam
| | - Hieu Trung Nguyen
- Microbiology and Immunology Department, Pasteur Institute of Ho Chi Minh City, Ho Chi Minh City, Vietnam
| | - Anh Hoang Nguyen
- Microbiology and Immunology Department, Pasteur Institute of Ho Chi Minh City, Ho Chi Minh City, Vietnam
| | - Thinh Viet Nguyen
- Department for Disease Control and Prevention, Pasteur Institute of Ho Chi Minh City, Ho Chi Minh City, Vietnam
| | | | - Loan Kim Hoang
- Microbiology and Immunology Department, Pasteur Institute of Ho Chi Minh City, Ho Chi Minh City, Vietnam
| | - Tham Thi Tran
- Blood Donation Centre of Ho Chi Minh City, Ho Chi Minh City, Vietnam
| | - Thang Minh Cao
- Microbiology and Immunology Department, Pasteur Institute of Ho Chi Minh City, Ho Chi Minh City, Vietnam
| | - Quang Chan Luong
- Department for Disease Control and Prevention, Pasteur Institute of Ho Chi Minh City, Ho Chi Minh City, Vietnam
| | - Lan Trong Phan
- Pasteur Institute of Ho Chi Minh City, Ho Chi Minh City, Vietnam
| | | | - Thuong Vu Nguyen
- Pasteur Institute of Ho Chi Minh City, Ho Chi Minh City, Vietnam
| | - Quang Duy Pham
- Training Center, Pasteur Institute of Ho Chi Minh City, Ho Chi Minh City, Vietnam;,Planning Division, Pasteur Institute of Ho Chi Minh City, Ho Chi Minh City, Vietnam,Address correspondence to Quang D. Pham, Training Center– Planning Division, Pasteur Institute of Ho Chi Minh City, 167 Pasteur St., District 3, Ho Chi Minh City, Vietnam. E-mail:
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10
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Park Y, Hong KH, Lee SK, Hyun J, Oh EJ, Lee J, Lee H, Song SH, Kee SJ, Kwon GC, Kim SH, Do HN, Kim AR, Lee JW, Kim SS, Kim HS. Performance Comparison of Five SARS-CoV-2 Antibody Assays for Seroprevalence Studies. Ann Lab Med 2022; 42:71-78. [PMID: 34374351 PMCID: PMC8368235 DOI: 10.3343/alm.2022.42.1.71] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Revised: 04/12/2021] [Accepted: 07/25/2021] [Indexed: 12/16/2022] Open
Abstract
Background Seroprevalence studies of coronavirus disease 2019 (COVID-19) cases, including asymptomatic and past infections, are important to estimate the scale of the disease outbreak and to establish quarantine measures. We evaluated the clinical performance of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibody assays available in Korea for use in seroprevalence studies. Methods The sensitivity, specificity, cross-reactivity, and interference of five SARS-CoV-2 antibody assays were evaluated using the following: 398 serum samples from confirmed COVID-19 patients, 510 negative control samples from before 2018 (pre-pandemic), 163 serum samples from patients with SARS, Middle East respiratory syndrome (MERS), and other viral infections, and five samples for the interference study. Results The sensitivities of the five assays ranged from 92.2% to 98%, and their specificities, including cross-reactivity and interference, ranged from 97.5% to 100%. The agreement rates were excellent (kappa >0.9). Adjustment of the cutoff values could be considered through ROC curve analysis. The positive predictive values of the individual assays varied from 3.5% to 100% at a 0.1% prevalence but were as high as ≥95% when two assays were combined. Conclusions The prevalence of COVID-19 in Korea is considered to be exceptionally low at present; thus, we recommend using a combination of two or more SARS-CoV-2 antibody assays rather than a single assay. These results could help select SARS-CoV-2 antibody assays for COVID-19 seroprevalence studies in Korea.
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Affiliation(s)
- Younhee Park
- Department of Laboratory Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Ki Ho Hong
- Department of Laboratory Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Su-Kyung Lee
- Department of Laboratory Medicine, Hallym University Dongtan Sacred Heart Hospital, Hallym University College of Medicine, Hwaseong, Korea
| | - Jungwon Hyun
- Department of Laboratory Medicine, Hallym University Dongtan Sacred Heart Hospital, Hallym University College of Medicine, Hwaseong, Korea
| | - Eun-Jee Oh
- Department of Laboratory Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Jaehyeon Lee
- Department of Laboratory Medicine, Jeonbuk National University Medical School and Hospital, Jeonju, Korea
| | - Hyukmin Lee
- Department of Laboratory Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Sang Hoon Song
- Department of Laboratory Medicine, Seoul National University Hospital and College of Medicine, Seoul, Korea
| | - Seung-Jung Kee
- Department of Laboratory Medicine, Chonnam National University Medical School and Hospital, Gwangju, Korea
| | - Gye Cheol Kwon
- Department of Laboratory Medicine, College of Medicine, Chungnam National University, Daejeon, Korea
| | - Su Hwan Kim
- Center for Vaccine Research, National Institute of Infectious Diseases, National Institute of Health, Korea Disease Control and Prevention Agency, Osong, Korea
| | - Hyeon-Nam Do
- Center for Vaccine Research, National Institute of Infectious Diseases, National Institute of Health, Korea Disease Control and Prevention Agency, Osong, Korea
| | - Ah-Ra Kim
- Center for Vaccine Research, National Institute of Infectious Diseases, National Institute of Health, Korea Disease Control and Prevention Agency, Osong, Korea
| | - June-Woo Lee
- Center for Vaccine Research, National Institute of Infectious Diseases, National Institute of Health, Korea Disease Control and Prevention Agency, Osong, Korea
| | - Sung Soon Kim
- Center for Vaccine Research, National Institute of Infectious Diseases, National Institute of Health, Korea Disease Control and Prevention Agency, Osong, Korea
| | - Hyun Soo Kim
- Department of Laboratory Medicine, Hallym University Dongtan Sacred Heart Hospital, Hallym University College of Medicine, Hwaseong, Korea
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11
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Heydarifard Z, Zadheidar S, Yavarian J, Kalantari S, Nejati A, Mokhtari-Azad T, Shafiei-Jandaghi NZ. SARS-CoV-2 Seroprevalence in People Referred to Private Medical Laboratories in Different Districts of Tehran, Iran from May 2020 to April 2021. Virol Sin 2021; 36:1236-1240. [PMID: 34591252 PMCID: PMC8481754 DOI: 10.1007/s12250-021-00446-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Accepted: 06/28/2021] [Indexed: 11/18/2022] Open
Affiliation(s)
- Zahra Heydarifard
- Virology Department, School of Public Health, Tehran University of Medical Sciences, Tehran, 1417613151, Iran
| | - Sevrin Zadheidar
- Virology Department, School of Public Health, Tehran University of Medical Sciences, Tehran, 1417613151, Iran
| | - Jila Yavarian
- Virology Department, School of Public Health, Tehran University of Medical Sciences, Tehran, 1417613151, Iran
| | - Shirin Kalantari
- Virology Department, School of Public Health, Tehran University of Medical Sciences, Tehran, 1417613151, Iran
| | - Ahmad Nejati
- Virology Department, School of Public Health, Tehran University of Medical Sciences, Tehran, 1417613151, Iran
| | - Talat Mokhtari-Azad
- Virology Department, School of Public Health, Tehran University of Medical Sciences, Tehran, 1417613151, Iran
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12
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Jeong S, Lee N, Lee SK, Cho EJ, Hyun J, Park MJ, Song W, Jung EJ, Woo H, Seo YB, Park JJ, Kim HS. Comparing Results of Five SARS-CoV-2 Antibody Assays Before and After the First Dose of ChAdOx1 nCoV-19 Vaccine among Health Care Workers. J Clin Microbiol 2021; 59:e0110521. [PMID: 34191577 PMCID: PMC8373005 DOI: 10.1128/jcm.01105-21] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Accepted: 06/17/2021] [Indexed: 12/26/2022] Open
Abstract
Reliable results regarding serologic positivity for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibody before and after AstraZeneca (AZ) vaccination are essential for estimating the efficacy of vaccination. We assessed positivity rates and associated factors using five SARS-CoV-2 antibody assays. A total of 228 paired serum samples (456 samples) were obtained from 228 participants. After baseline sampling, the second sampling was conducted between 11 and 28 days after the first dose of the AZ vaccine. Sera were tested using five SARS-CoV-2 antibody assays, including two surrogate virus neutralization tests. A questionnaire on the symptoms, severity, and duration of adverse reactions was completed by all participants. The overall positivity rates for SARS-CoV-2 antibody were 84.6% for the Roche assay, 92.5% for the Abbott assay, 75.4% for the Siemens assay, 90.7% for the SD Biosensor assay, and 66.2% for the GenScript assay after the first dose of the AZ vaccine. The positivity rates and antibody titers of sera obtained between 21 and 28 days were significantly higher than those obtained between 11 and 20 days in all five assays. More-severe adverse reactions and longer durations of adverse reactions were related to higher SARS-CoV-2 antibody levels. The agreements and correlations among the assays applied were substantial (к, 0.73 to 0.95) and strong (ρ, 0.83 to 0.91). A single dose of the AZ vaccine led to high positivity rates based on the five assays. Days after vaccination and adverse reactions could help estimate serologic conversion rates. The results should be interpreted cautiously considering the assays and cutoffs applied. Our findings could inform decisions regarding vaccination and laboratory settings and could thus contribute to the control of the spread of SARS-CoV-2 infection.
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Affiliation(s)
- Seri Jeong
- Department of Laboratory Medicine, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, South Korea
| | - Nuri Lee
- Department of Laboratory Medicine, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, South Korea
| | - Su Kyung Lee
- Department of Laboratory Medicine, Dongtan Sacred Heart Hospital, Hallym University College of Medicine, Hwaseong, South Korea
| | - Eun-Jung Cho
- Department of Laboratory Medicine, Dongtan Sacred Heart Hospital, Hallym University College of Medicine, Hwaseong, South Korea
| | - Jungwon Hyun
- Department of Laboratory Medicine, Dongtan Sacred Heart Hospital, Hallym University College of Medicine, Hwaseong, South Korea
| | - Min-Jeong Park
- Department of Laboratory Medicine, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, South Korea
| | - Wonkeun Song
- Department of Laboratory Medicine, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, South Korea
| | - Eun Ju Jung
- Division of Infectious Diseases, Department of Internal Medicine, Dongtan Sacred Heart Hospital, Hallym University College of Medicine, Hwaseong, South Korea
| | - Heungjeong Woo
- Division of Infectious Diseases, Department of Internal Medicine, Dongtan Sacred Heart Hospital, Hallym University College of Medicine, Hwaseong, South Korea
| | - Yu Bin Seo
- Division of Infectious Diseases, Department of Internal Medicine, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, South Korea
| | - Jin Ju Park
- Division of Infectious Diseases, Department of Internal Medicine, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, South Korea
| | - Hyun Soo Kim
- Department of Laboratory Medicine, Dongtan Sacred Heart Hospital, Hallym University College of Medicine, Hwaseong, South Korea
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13
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Correlation between the Level of Social Distancing and Activity of Influenza Epidemic or COVID-19 Pandemic: A Subway Use-Based Assessment. J Clin Med 2021; 10:jcm10153369. [PMID: 34362150 PMCID: PMC8348601 DOI: 10.3390/jcm10153369] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Revised: 07/20/2021] [Accepted: 07/27/2021] [Indexed: 11/24/2022] Open
Abstract
Social distancing is an effective measure to mitigate the spread of novel viral infections in the absence of antiviral agents and insufficient vaccine supplies. Subway utilization density may reflect social activity and the degree of social distancing in the general population.; This study aimed to evaluate the correlations between subway use density and the activity of the influenza epidemic or coronavirus disease 2019 (COVID-19) pandemic using a time-series regression method. The subway use-based social distancing score (S-SDS) was calculated using the weekly ridership of 11 major subway stations. The temporal association of S-SDS with influenza-like illness (ILI) rates or the COVID-19 pandemic activity was analyzed using structural vector autoregressive modeling and the Granger causality (GC) test. During three influenza seasons (2017–2020), the time-series regression presented a significant causality from S-SDS to ILI (p = 0.0484). During the COVID-19 pandemic in January 2020, S-SDS had been suppressed at a level similar to or below the average of the previous four years. In contrast to the ILI rate, there was a negative correlation between COVID-19 activity and S-SDS. GC analysis revealed a negative causal relationship between COVID-19 and S-SDS (p = 0.0098).; S-SDS showed a significant time-series association with the ILI rate but not with COVID-19 activity. When public transportation use is sufficiently suppressed, additional social mobility restrictions are unlikely to significantly affect COVID-19 pandemic activity. It would be more important to strengthen universal mask-wearing and detailed public health measures focused on risk activities, particularly in enclosed spaces.
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14
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Babu GR, Sundaresan R, Athreya S, Akhtar J, Pandey PK, Maroor PS, Padma MR, Lalitha R, Shariff M, Krishnappa L, Manjunath CN, Sudarshan MK, Gururaj G, Ranganath TS, Vasanth KDE, Banandur P, Ravi D, Shiju S, Lobo E, Satapathy A, Alahari L, Dinesh P, Thakar V, Desai A, Rangaiah A, Munivenkatappa A, S K, Basawarajappa SG, Sreedhara HG, Kc S, B AK, Umar N, Ba M, Vasanthapuram R. The burden of active infection and anti-SARS-CoV-2 IgG antibodies in the general population: Results from a statewide sentinel-based population survey in Karnataka, India. Int J Infect Dis 2021; 108:27-36. [PMID: 34029705 PMCID: PMC8139436 DOI: 10.1016/j.ijid.2021.05.043] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Revised: 05/18/2021] [Accepted: 05/18/2021] [Indexed: 12/25/2022] Open
Abstract
OBJECTIVE To estimate the burden of active infection and anti-SARS-CoV-2 IgG antibodies in Karnataka, India, and to assess variation across geographical regions and risk groups. METHODS A cross-sectional survey of 16,416 people covering three risk groups was conducted between 3-16 September 2020 using the state of Karnataka's infrastructure of 290 healthcare facilities across all 30 districts. Participants were further classified into risk subgroups and sampled using stratified sampling. All participants were subjected to simultaneous detection of SARS-CoV-2 IgG using a commercial ELISA kit, SARS-CoV-2 antigen using a rapid antigen detection test (RAT) and reverse transcription-polymerase chain reaction (RT-PCR) for RNA detection. Maximum-likelihood estimation was used for joint estimation of the adjusted IgG, active and total prevalence (either IgG or active or both), while multinomial regression identified predictors. RESULTS The overall adjusted total prevalence of COVID-19 in Karnataka was 27.7% (95% CI 26.1-29.3), IgG 16.8% (15.5-18.1) and active infection fraction 12.6% (11.5-13.8). The case-to-infection ratio was 1:40 and the infection fatality rate was 0.05%. Influenza-like symptoms or contact with a COVID-19-positive patient were good predictors of active infection. RAT kits had higher sensitivity (68%) in symptomatic people compared with 47% in asymptomatic people. CONCLUSION This sentinel-based population survey was the first comprehensive survey in India to provide accurate estimates of the COVID-19 burden. The findings provide a reasonable approximation of the population immunity threshold levels. Using existing surveillance platforms coupled with a syndromic approach and sampling framework enabled this model to be replicable.
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Affiliation(s)
- Giridhara R Babu
- Indian Institute of Public Health - Bengaluru, Public Health Foundation of India, Magadi Rd 1st Cross, Next to Leprosy Hospital, SIHFW Premises, Bengaluru, Karnataka, India.
| | - Rajesh Sundaresan
- Indian Institute of Science, CV Raman Rd, Bengaluru, Karnataka, India
| | - Siva Athreya
- Indian Statistical Institute - Bangalore Centre, 8th Mile, Mysore Rd, RVCE Post, Bengaluru, Karnataka, India
| | - Jawaid Akhtar
- Department of Health and Family Welfare Services, Government of Karnataka, Vikasa Soudha, Bengaluru, Karnataka, India
| | - Pankaj Kumar Pandey
- Department of Health and Family Welfare Services, Aarogya Soudha, 1st cross, Magadi Road, Bengaluru, Karnataka, India
| | - Parimala S Maroor
- Department of Health and Family Welfare Services, Aarogya Soudha, 1st cross, Magadi Road, Bengaluru, Karnataka, India
| | - M Rajagopal Padma
- Department of Health and Family Welfare Services, Aarogya Soudha, 1st cross, Magadi Road, Bengaluru, Karnataka, India
| | - R Lalitha
- State Maternal and PPTCT Consultant, UNICEF, Bengaluru, India
| | - Mohammed Shariff
- Department of Health and Family Welfare Services, Aarogya Soudha, 1st cross, Magadi Road, Bengaluru, Karnataka, India
| | - Lalitha Krishnappa
- MS Ramaiah Medical College, MS Ramaiah Nagar, Mathikere, Bengaluru, Karnataka, India
| | - C N Manjunath
- Sri Jayadeva Institute of Cardiovascular Sciences and Research, Bannerghatta Main Rd, Phase 3, Jayanagara 9th Block, Jayanagar, Bengaluru, Karnataka, India
| | - Mysore Kalappa Sudarshan
- Department of Health and Family Welfare Services, Aarogya Soudha, 1st cross, Magadi Road, Bengaluru, Karnataka, India
| | - Gopalkrishna Gururaj
- National Institute of Mental Health and Neurosciences, Hosur Road, Bengaluru, Karnataka, India
| | | | - Kumar D E Vasanth
- Department of Health and Family Welfare Services, Aarogya Soudha, 1st cross, Magadi Road, Bengaluru, Karnataka, India
| | - Pradeep Banandur
- National Institute of Mental Health and Neurosciences, Hosur Road, Bengaluru, Karnataka, India
| | - Deepa Ravi
- Indian Institute of Public Health - Bengaluru, Public Health Foundation of India, Magadi Rd 1st Cross, Next to Leprosy Hospital, SIHFW Premises, Bengaluru, Karnataka, India
| | - Shilpa Shiju
- Department of Health and Family Welfare Services, Aarogya Soudha, 1st cross, Magadi Road, Bengaluru, Karnataka, India
| | - Eunice Lobo
- Indian Institute of Public Health - Bengaluru, Public Health Foundation of India, Magadi Rd 1st Cross, Next to Leprosy Hospital, SIHFW Premises, Bengaluru, Karnataka, India
| | - Asish Satapathy
- Member Technical Advisory Committee on COVID19, Bengaluru, India
| | - Lokesh Alahari
- Member Technical Advisory Committee on COVID19, Bengaluru, India
| | - Prameela Dinesh
- Department of Health and Family Welfare Services, Aarogya Soudha, 1st cross, Magadi Road, Bengaluru, Karnataka, India
| | - Vinitha Thakar
- Department of Health and Family Welfare Services, Aarogya Soudha, 1st cross, Magadi Road, Bengaluru, Karnataka, India
| | - Anita Desai
- National Institute of Mental Health and Neurosciences, Hosur Road, Bengaluru, Karnataka, India
| | - Ambica Rangaiah
- Bangalore Medical College and Research Institute, Fort, K.R. Road, Bengaluru, India
| | - Ashok Munivenkatappa
- National Institute of Virology, Bangalore Unit, Someshwaranagar, 1st Main, Dharmaram College Post, Bengaluru, India
| | - Krishna S
- Vijayanagar Institute of Medical Sciences, Ballari, Karnataka, India
| | | | - H G Sreedhara
- Hassan Institute of Medical Sciences, Sri Chamarajendra Hospital Campus, Krishnaraja Pura, Hassan, Karnataka, India
| | - Siddesh Kc
- Shimoga Institute of Medical Sciences, Sagar Road, Shimoga, Karnataka, India
| | - Amrutha Kumari B
- Mysore Medical College and Research Institute, Irwin Road, Mysuru, Karnataka, India
| | - Nawaz Umar
- Gulbarga Institute of Medical Sciences, Veeresh Nagar, Sedam Road Kalaburagi, Karnataka, India
| | - Mythri Ba
- Karnataka Institute of Medical Sciences, PB Rd, Vidya Nagar, Hubli, Karnataka, India
| | - Ravi Vasanthapuram
- National Institute of Mental Health and Neurosciences, Hosur Road, Bengaluru, Karnataka, India
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15
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Garay E, Serrano-Coll H, Rivero R, Gastelbondo B, Faccini-Martínez Á, Berrocal J, Pérez A, Badillo M, Martínez-Bravo C, Botero Y, Arrieta G, Calderón A, Galeano K, López Y, Miranda J, Guzmán C, Contreras V, Arosemena A, Contreras H, Brango-Tarra E, Oviedo M, Mattar S. SARS-CoV-2 in eight municipalities of the Colombian tropics: high immunity, clinical and sociodemographic outcomes. Trans R Soc Trop Med Hyg 2021; 116:139-147. [PMID: 34185868 PMCID: PMC8344518 DOI: 10.1093/trstmh/trab094] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 05/19/2021] [Accepted: 06/11/2021] [Indexed: 12/26/2022] Open
Abstract
Background Serological evaluation of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an alternative that allows us to determine the prevalence and dynamics of this infection in populations. The goal of this study was to determine the clinical and sociodemographic dynamics of SARS-CoV-2 infection in a region of the Colombian Caribbean. Methods Between July and November 2020, a cross-sectional observational study was carried out in Córdoba, located in northeast Colombia in the Caribbean area. Eight municipalities with the largest populations were chosen and 2564 blood samples were taken. A commercial enzyme-linked immunosorbent assay was used with the recombinant protein antigen N of SARS-CoV-2. The people included in the study were asked for sociodemographic and clinical data, which were analysed by statistical methods. Results A seroprevalence of 40.8% was obtained for SARS-CoV-2 in the Córdoba region. In the bivariate analysis, no differences were observed in seropositivity against SARS-CoV-2 for gender or age range (p>0.05). Higher seropositivity was found in low socio-economic status and symptomatic patients (p<0.0001). A total of 30.7% of the asymptomatic patients were seropositive for SARS-CoV-2, which could be linked to the spread of this infection. In the multivariate analysis, seroconversion was related to poverty and clinical manifestations such as anosmia and ageusia (p<0.05). Conclusions The high seropositivity in Córdoba is due to widespread SARS-CoV-2 in this population. The relationship between seropositivity and socio-economic status suggests a higher exposure risk to the virus caused by informal economic activities in low-income groups. Clinical manifestations such as anosmia and ageusia could be clinical predictors of infection by the new emergent coronavirus.
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Affiliation(s)
- Evelin Garay
- Instituto de Investigaciones Biológicas del Trópico, Colombia-Universidad de Córdoba, Montería, Colombia
| | - Héctor Serrano-Coll
- Instituto de Investigaciones Biológicas del Trópico, Colombia-Universidad de Córdoba, Montería, Colombia
| | - Ricardo Rivero
- Instituto de Investigaciones Biológicas del Trópico, Colombia-Universidad de Córdoba, Montería, Colombia
| | - Bertha Gastelbondo
- Instituto de Investigaciones Biológicas del Trópico, Colombia-Universidad de Córdoba, Montería, Colombia
| | - Álvaro Faccini-Martínez
- Instituto de Investigaciones Biológicas del Trópico, Colombia-Universidad de Córdoba, Montería, Colombia
| | - José Berrocal
- Instituto de Investigaciones Biológicas del Trópico, Colombia-Universidad de Córdoba, Montería, Colombia
| | - Alejandra Pérez
- Instituto de Investigaciones Biológicas del Trópico, Colombia-Universidad de Córdoba, Montería, Colombia
| | - María Badillo
- Instituto de Investigaciones Biológicas del Trópico, Colombia-Universidad de Córdoba, Montería, Colombia
| | - Caty Martínez-Bravo
- Instituto de Investigaciones Biológicas del Trópico, Colombia-Universidad de Córdoba, Montería, Colombia
| | - Yesica Botero
- Instituto de Investigaciones Biológicas del Trópico, Colombia-Universidad de Córdoba, Montería, Colombia
| | - Germán Arrieta
- Instituto de Investigaciones Biológicas del Trópico, Colombia-Universidad de Córdoba, Montería, Colombia.,Clínica Salud Social, Sincelejo, Sucre Colombia
| | - Alfonso Calderón
- Instituto de Investigaciones Biológicas del Trópico, Colombia-Universidad de Córdoba, Montería, Colombia
| | - Ketty Galeano
- Instituto de Investigaciones Biológicas del Trópico, Colombia-Universidad de Córdoba, Montería, Colombia
| | - Yesica López
- Instituto de Investigaciones Biológicas del Trópico, Colombia-Universidad de Córdoba, Montería, Colombia
| | - Jorge Miranda
- Instituto de Investigaciones Biológicas del Trópico, Colombia-Universidad de Córdoba, Montería, Colombia
| | - Camilo Guzmán
- Instituto de Investigaciones Biológicas del Trópico, Colombia-Universidad de Córdoba, Montería, Colombia
| | - Verónica Contreras
- Instituto de Investigaciones Biológicas del Trópico, Colombia-Universidad de Córdoba, Montería, Colombia
| | - Alejandra Arosemena
- Instituto de Investigaciones Biológicas del Trópico, Colombia-Universidad de Córdoba, Montería, Colombia
| | - Héctor Contreras
- Instituto de Investigaciones Biológicas del Trópico, Colombia-Universidad de Córdoba, Montería, Colombia
| | | | - Misael Oviedo
- Corporación Colombiana de Investigación Agropecuaria - Agrosavia, Centro de investigación Turipaná, Cereté, Córdoba, Colombia
| | - Salim Mattar
- Instituto de Investigaciones Biológicas del Trópico, Colombia-Universidad de Córdoba, Montería, Colombia
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16
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Choi MJ, Choi WS, Seong H, Choi JY, Kim JH, Kim YJ, Cho EY, Kim DH, Park H, Lee H, Kim NJ, Song JY, Cheong HJ, Kim SI, Peck KR. Developing a Framework for Pandemic COVID-19 Vaccine Allocation: a Modified Delphi Consensus Study in Korea. J Korean Med Sci 2021; 36:e166. [PMID: 34128597 PMCID: PMC8203851 DOI: 10.3346/jkms.2021.36.e166] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Accepted: 05/25/2021] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND This study presents a framework for determining the allocation and distribution of the limited amount of vaccines against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). METHODS After analyzing the pandemic strategies of the major organizations and countries and with a literature review conducted by a core panel, a modified Delphi survey was administered to 13 experts in the fields of vaccination, infectious disease, and public health in the Republic of Korea. The following topics were discussed: 1) identifying the objectives of the vaccination strategy, 2) identifying allocation criteria, and 3) establishing a step-by-step vaccination framework and prioritization strategy based on the allocation criteria. Two rounds of surveys were conducted for each topic, with a structured questionnaire provided via e-mail in the first round. After analyzing the responses, a meeting with the experts was held to obtain consensus on how to prioritize the population groups. RESULTS The first objective of the vaccination strategy was maintenance of the integrity of the healthcare system and critical infrastructure, followed by reduction of morbidity and mortality and reduction of community transmission. In the initial phase, older adult residents in care homes, high-risk health and social care workers, and personal support workers who work in direct contact with coronavirus disease 2019 (COVID-19) patients would be prioritized. Expansion of vaccine supply would allow immunization of older adults not included in phase 1, followed by healthcare workers not previously included and individuals with comorbidities. Further widespread vaccine supply would ensure availability to the extended adult age groups (50-64 years old), critical workers outside the health sector, residents who cannot socially distance, and, eventually, the remaining populations. CONCLUSION This survey provides the much needed insight into the decision-making process for vaccine allocation at the national level. However, flexibility in adapting to strategies will be essential, as new information is constantly emerging.
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Affiliation(s)
- Min Joo Choi
- Department of Internal Medicine, International St. Mary's Hospital, Catholic Kwandong University College of Medicine, Incheon, Korea
| | - Won Suk Choi
- Department of Internal Medicine, Korea University Ansan Hospital, Korea University College of Medicine, Seoul, Korea
| | - Hye Seong
- Department of Internal Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea
| | - Jun Yong Choi
- Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Jong Hyun Kim
- Department of Pediatrics, St. Vincent's Hospital, College of Medicine, The Catholic University of Korea, Suwon, Korea
| | - Yae Jean Kim
- Department of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Eun Young Cho
- Department of Pediatrics, Chungnam National University Hospital, Chungnam National University, Daejeon, Korea
| | - Dong Hyun Kim
- Department of Social and Preventive Medicine, Hallym University College of Medicine, Chuncheon, Korea
| | - Hyesook Park
- Department of Preventive Medicine, Graduate Program in System Health Science and Engineering, Ewha Womans University College of Medicine, Seoul, Korea
| | - Heeyoung Lee
- Center for Preventive Medicine and Public Health, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Nam Joong Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Joon Young Song
- Department of Internal Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea
| | - Hee Jin Cheong
- Department of Internal Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea
| | - Sang Il Kim
- Department of Internal Medicine, Seoul St. Mary's Hospital, The Catholic University College of Medicine, Seoul, Korea
| | - Kyong Ran Peck
- Department of Internal Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
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17
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Lee K, Jo S, Lee J. Seroprevalence of SARS-CoV-2 antibodies in South Korea. J Korean Stat Soc 2021; 50:891-904. [PMID: 34054312 PMCID: PMC8142885 DOI: 10.1007/s42952-021-00131-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Accepted: 05/10/2021] [Indexed: 11/26/2022]
Abstract
In 2020, Korea Disease Control and Prevention Agency reported three rounds of surveys on seroprevalence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibodies in South Korea. SARS-CoV-2 is the virus which inflicts the coronavirus disease 2019 (COVID-19). We analyze the seroprevalence surveys using a Bayesian method with an informative prior distribution on the seroprevalence parameter, and the sensitivity and specificity of the diagnostic test. We construct the informative prior of the sensitivity and specificity of the diagnostic test using the posterior distribution obtained from the clinical evaluation data. The constraint of the seroprevalence parameter induced from the known confirmed coronavirus 2019 cases can be imposed naturally in the proposed Bayesian model. We also prove that the confidence interval of the seroprevalence parameter based on the Rao's test can be the empty set, while the Bayesian method renders interval estimators with coverage probability close to the nominal level. As of the 30th of October 2020, the95 % credible interval of the estimated SARS-CoV-2 positive population does not exceed 318, 685, approximately 0.62 % of the Korean population. SUPPLEMENTARY INFORMATION The online version contains supplementary material available at 10.1007/s42952-021-00131-7.
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Affiliation(s)
- Kwangmin Lee
- Department of Statistics, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826 Republic of Korea
| | - Seongil Jo
- Department of Statistics, Inha University, 100 Inha-ro, Nam-Gu, Incheon, Republic of Korea
| | - Jaeyong Lee
- Department of Statistics, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826 Republic of Korea
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18
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Jeong HW, Chang HH, Kim EJ, Kim YK, Kim SM, Kim EH, Kim YI, Casel MAB, Kim SG, Rollon R, Jang SG, Yu KM, Kim HS, Park HS, Park SJ, Kim YD, Kim EG, Choi YK. Differences in seroprevalence between epicenter and non-epicenter areas of the COVID-19 outbreak in South Korea. J Microbiol 2021; 59:530-533. [PMID: 33907974 PMCID: PMC8079228 DOI: 10.1007/s12275-021-1095-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Revised: 04/05/2021] [Accepted: 04/05/2021] [Indexed: 01/08/2023]
Abstract
To compare the standardized severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) seroprevalence of high epicenter region with non-epicenter region, serological studies were performed with a total of 3,268 sera from Daegu City and 3,981 sera from Chungbuk Province. Indirect immunofluorescence assay (IFA) for SARS-CoV-2 IgG results showed a high seroprevalence rate in the Daegu City (epicenter) compared with a non-epicenter area (Chungbuk Province) (1.27% vs. 0.91%, P = 0.0358). It is noteworthy that the highest seroprevalence in Daegu City was found in elderly patients (70's) whereas young adult patients (20's) in Chungbuk Province showed the highest seroprevalence. Neutralizing antibody (NAb) titers were found in three samples from Daegu City (3/3, 268, 0.09%) while none of the samples from Chungbuk Province were NAb positive. These results demonstrated that even following the large outbreak, the seropositive rate of SARS-CoV-2 in the general population remained low in South Korea.
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Affiliation(s)
- Hye Won Jeong
- Department of Internal Medicine, College of Medicine and Medical Research Institute, Chungbuk National University, Cheongju, 28644, Republic of Korea
- Department of Internal Medicine, Chungbuk National University Hospital, Cheongju, 28644, Republic of Korea
| | - Hyun-Ha Chang
- Division of Infectious Diseases, Department of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, 41566, Republic of Korea
| | - Eun Ji Kim
- College of Medicine and Medical Research Institute, Chungbuk National University, Cheongju, 28644, Republic of Korea
| | - Yu Kyung Kim
- Department of Clinical Pathology, School of Medicine, Kyungpook National University, Daegu, 41566, Republic of Korea
| | - Se-Mi Kim
- College of Medicine and Medical Research Institute, Chungbuk National University, Cheongju, 28644, Republic of Korea
| | - Eun-Ha Kim
- College of Medicine and Medical Research Institute, Chungbuk National University, Cheongju, 28644, Republic of Korea
| | - Young-Il Kim
- College of Medicine and Medical Research Institute, Chungbuk National University, Cheongju, 28644, Republic of Korea
| | - Mark Anthony B Casel
- College of Medicine and Medical Research Institute, Chungbuk National University, Cheongju, 28644, Republic of Korea
| | - Seong-Gyu Kim
- College of Medicine and Medical Research Institute, Chungbuk National University, Cheongju, 28644, Republic of Korea
| | - Rare Rollon
- College of Medicine and Medical Research Institute, Chungbuk National University, Cheongju, 28644, Republic of Korea
| | - Seung-Gyu Jang
- College of Medicine and Medical Research Institute, Chungbuk National University, Cheongju, 28644, Republic of Korea
| | - Kwang-Min Yu
- College of Medicine and Medical Research Institute, Chungbuk National University, Cheongju, 28644, Republic of Korea
| | - Hee-Sung Kim
- Department of Internal Medicine, Chungbuk National University Hospital, Cheongju, 28644, Republic of Korea
| | - Hee Sue Park
- Department of Laboratory Medicine, Chungbuk National University Hospital, Cheongju, 28644, Republic of Korea
| | - Su-Jin Park
- Division of Life Science and Research Institute of Life Science, Gyeongsang National University, Jinju, 52828, Republic of Korea
| | - Yong-Dae Kim
- Department of Preventive Medicine, College of Medicine, Chungbuk National University College of Medicine, Cheongju, 28644, Republic of Korea
- Chungbuk Regional Cancer Center, Chungbuk National University Hospital, Cheongju, 28644, Republic of Korea
| | - Eung-Gook Kim
- College of Medicine and Medical Research Institute, Chungbuk National University, Cheongju, 28644, Republic of Korea
| | - Young Ki Choi
- College of Medicine and Medical Research Institute, Chungbuk National University, Cheongju, 28644, Republic of Korea.
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19
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Nah EH, Cho S, Park H, Hwang I, Cho HI. Nationwide seroprevalence of antibodies to SARS-CoV-2 in asymptomatic population in South Korea: a cross-sectional study. BMJ Open 2021; 11:e049837. [PMID: 33895722 PMCID: PMC8076630 DOI: 10.1136/bmjopen-2021-049837] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
OBJECTIVE Asymptomatic active infection might be an important contributor to the COVID-19 outbreak. Serological tests can assess the extent of exposure and herd immunity to COVID-19 in general populations. This study aimed to estimate the nationwide seroprevalence of SARS-CoV-2 antibodies according to age, sex and clinical status in South Korea. DESIGN, SETTING AND PARTICIPANTS This cross-sectional study randomly selected health examinees who underwent health check-up at 16 health promotion centres in 13 Korean cities across the country between late September and early December 2020. Residual serum samples were obtained from 4085 subjects (2014 men and 2071 women). Antibodies to SARS-CoV-2 were measured by electrochemiluminescence immunoassay using Elecsys Anti-SARS-CoV-2 (Roche Elecsys, Mannheim, Germany). PRIMARY AND SECONDARY OUTCOME MEASURES Fisher's exact test was used to compare the seroprevalence according to sex, age group and region. The relative risks of being seropositive according to the characteristics of the study subjects were analysed using logistic regression analysis. RESULTS The overall seroprevalence of anti-SARS-CoV-2 was 0.39% (95% CI=0.20% to 0.58%): 0.30% (95% CI=0.06% to 0.54%) for men and 0.48% (95% CI=0.18% to 0.78%) for women. The rate of anti-SARS-CoV-2 positivity varied significantly between different regions of Korea (p=0.003), but not with age group, sex, or the statuses of obesity, diabetes, hypertension or smoking. CONCLUSIONS Most of the Korean population is still immunologically vulnerable to SARS-CoV-2, but the seroprevalence has increased relative to that found in studies performed prior to September 2020 in Korea.
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Affiliation(s)
- Eun-Hee Nah
- Health Promotion Research Institute, Korea Association of Health Promotion, Seoul, Republic of Korea
| | - Seon Cho
- Health Promotion Research Institute, Korea Association of Health Promotion, Seoul, Republic of Korea
| | - Hyeran Park
- Health Promotion Research Institute, Korea Association of Health Promotion, Seoul, Republic of Korea
| | - Inhwan Hwang
- Health Promotion Research Institute, Korea Association of Health Promotion, Seoul, Republic of Korea
| | - Han-Ik Cho
- MEDIcheck LAB, Korea Association of Health Promotion, Seoul, Republic of Korea
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20
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Nakamura A, Ando S, Endo H, Sato R. Seroprevalence of antibodies to SARS-CoV-2 in healthcare workers in a nonepidemic region, Japan: A hospital-based study on May, 2020. J Med Virol 2021; 93:4608-4611. [PMID: 33760273 PMCID: PMC8250612 DOI: 10.1002/jmv.26962] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Revised: 02/16/2021] [Accepted: 02/23/2021] [Indexed: 11/10/2022]
Abstract
The polymerase chain reaction (PCR) testing rate is low in our local area and the true rate of coronavirus disease 2019 (COVID‐19) infection may include many asymptomatic individuals. We conducted a serosurveillance using antibody testing in an area where official report of COVID‐19 infection is not done yet. Blood samples were obtained from 1404 healthcare workers (41 ± 11 years) in our hospital on May 29–31, 2020. First, the potential infection frequency was confirmed using two quantitative antibody tests. In addition, the usefulness of rapid antibody kit testing for COVID‐19 serosurveillance was examined. A COVID‐19‐indected case was defined as showing positive results in both quantitative tests. None of 1404 samples had positive results from the two quantitative tests. The false positive rates were 0.36% and 0.07%, whereas those in rapid antibody kits were 3.3% and 3.0%. In conclusion, as of May, 2020, potential spread mainly by asymptomatic individuals infected with COVID‐19 was not found in our local area where there was no official report of COVID‐19, even if the PCR testing rate was low. Rapid antibody kits might not be useful due to the high false positive rate in an area with a low incidence of COVID‐19 infected individuals.
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Affiliation(s)
- Akihiro Nakamura
- Department of Cardiology, Iwate Prefectural Central Hospital, Morioka, Iwate, Japan
| | - Sanae Ando
- Department of Clinical Laboratory, Iwate Prefectural Central Hospital, Morioka, Iwate, Japan
| | - Hideaki Endo
- Department of Cardiology, Iwate Prefectural Central Hospital, Morioka, Iwate, Japan
| | - Ryoichi Sato
- Department of Clinical Laboratory, Iwate Prefectural Central Hospital, Morioka, Iwate, Japan
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21
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Lee SM, Kim IS, Lim S, Lee SJ, Kim WJ, Shin KH, Moon SY, Chang CL. Comparison of Serologic Response of Hospitalized COVID-19 Patients Using 8 Immunoassays. J Korean Med Sci 2021; 36:e64. [PMID: 33686810 PMCID: PMC7940118 DOI: 10.3346/jkms.2021.36.e64] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Accepted: 02/18/2021] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND In Korea, there were issues regarding the use of immunoassays for anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibodies to detect infection. So, we compared antibody results of eight kinds of commercial immunoassays using clinical remnant specimens. METHODS We compared the results of several immunoassay kits tested on 40 serum samples from 15 confirmed patients and 86 remnant serum samples from clinical laboratory. Eight kinds of IVD kits-four enzyme-linked immunosorbent assay, two lateral flow rapid immunochromatographic assays, and two chemiluminescent immunoassays with one RUO kit were tested. RESULTS Among 40 serum samples from 15 coronavirus disease 2019 (COVID-19) patients, 35 yielded at least one positive result for detecting antibodies in the combined assessment. There were inconsistent results in 12 (28%) samples by single immunoassay. Forty samples collected in 2019 before the first COVID-19 Korean case showed negative results except for one equivocal result. CONCLUSION The discrepant results obtained with different immunoassay kits in this study show that serological assessment of SARS-CoV-2 by a single immunoassay requires caution not only in detecting infection but also in assessing immunologic status.
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Affiliation(s)
- Sun Min Lee
- Department of Laboratory Medicine, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Korea
- Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, Korea
- Department of Laboratory Medicine, Pusan National University School of Medicine, Yangsan, Korea
| | - In Suk Kim
- Department of Laboratory Medicine, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Korea
- Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, Korea
- Department of Laboratory Medicine, Pusan National University School of Medicine, Yangsan, Korea.
| | - Seungjin Lim
- Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, Korea
- Division of Infection, Department of Internal Medicine, Pusan National University Yangsan Hospital, Yangsan, Korea
| | - Su Jin Lee
- Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, Korea
- Division of Infection, Department of Internal Medicine, Pusan National University Yangsan Hospital, Yangsan, Korea
| | - Won Joo Kim
- Department of Laboratory Medicine, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Korea
- Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, Korea
| | - Kyung Hwa Shin
- Department of Laboratory Medicine, Pusan National University School of Medicine, Yangsan, Korea
- Department of Laboratory Medicine, Pusan National University Hospital, Busan, Korea
| | - Soo Young Moon
- Department of Laboratory Medicine, Seoul Medical Center, Seoul, Korea
| | - Chulhun L Chang
- Department of Laboratory Medicine, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Korea
- Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, Korea
- Department of Laboratory Medicine, Pusan National University School of Medicine, Yangsan, Korea
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22
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Nakamura A, Sato R, Ando S, Oana N, Nozaki E, Endo H, Miyate Y, Soma J, Miyata G. Orthogonal antibody testing for COVID-19 among healthcare workers in a non-epidemic place and time:Japan's Iwate Prefecture, May 18-31, 2020. Fukushima J Med Sci 2021; 67:27-32. [PMID: 33642419 PMCID: PMC8075555 DOI: 10.5387/fms.2020-21] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Of the 47 prefectures in Japan, Iwate had the fewest cases of coronavirus disease 2019 (COVID-19), with the first diagnosis officially confirmed on July 28, 2020. A baseline serological survey of COVID-19 antibodies is essential to accurately evaluate an epidemic outbreak. The primary purpose of this study was to determine pre-epidemic prevalence of COVID-19 antibodies among healthcare workers, using two laboratory-based quantitative tests. In addition, a point-of-care (POC) qualitative test, rapid, simple, and convenient for primary care clinics, was compared with the laboratory-based tests. All antibody tests were performed on serum from 1,000 healthcare workers (mean age, 40 ± 11 years) in Iwate Prefectural Central Hospital, May 29-31, 2020. A COVID-19 case was defined as showing positive results in both laboratory-based quantitative tests. None of 1,000 samples had positive results in both of the laboratory immunoassays. The POC test showed positive results in 33 of 1,000 samples (3.3%) (95% confidence interval:2.19-4.41), but no samples were simultaneously positive in both laboratory-based tests. In conclusion, COVID-19 cases were not serologically confirmed by a baseline control study of healthcare workers at our hospital in late May, 2020. Moreover, the POC qualitative test may offer no advantage in areas with very low prevalence of COVID-19, due to higher false-positive reactions compared with laboratory-based quantitative immunoassays.
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Affiliation(s)
- Akihiro Nakamura
- Department of Disaster Medicine, Iwate Prefectural Central Hospital
| | - Ryoichi Sato
- Clinical Laboratory, Iwate Prefectural Central Hospital
| | - Sanae Ando
- Clinical Laboratory, Iwate Prefectural Central Hospital
| | - Natsuko Oana
- Clinical Laboratory, Iwate Prefectural Central Hospital
| | - Eiji Nozaki
- Clinical Laboratory, Iwate Prefectural Central Hospital
| | - Hideaki Endo
- Department of Cardiology, Iwate Prefectural Central Hospital
| | - Yoshiharu Miyate
- Department of Infection Control and Prevention, Iwate Prefectural Central Hospital
| | - Jun Soma
- Department of Nephrology and Rheumatology, Iwate Prefectural Central Hospital
| | - Go Miyata
- Department of Gastroenterological Surgery, Iwate Prefectural Central Hospital
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23
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Shim E. Optimal Allocation of the Limited COVID-19 Vaccine Supply in South Korea. J Clin Med 2021; 10:jcm10040591. [PMID: 33557344 PMCID: PMC7914460 DOI: 10.3390/jcm10040591] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Revised: 01/29/2021] [Accepted: 02/01/2021] [Indexed: 12/15/2022] Open
Abstract
Initial supply of the coronavirus disease (COVID-19) vaccine may be limited, necessitating its effective use. Herein, an age-structured model of COVID-19 spread in South Korea is parameterized to understand the epidemiological characteristics of COVID-19. The model determines optimal vaccine allocation for minimizing infections, deaths, and years of life lost while accounting for population factors, such as country-specific age distribution and contact structure, and various levels of vaccine efficacy. A transmission-blocking vaccine should be prioritized in adults aged 20–49 years and those older than 50 years to minimize the cumulative incidence and mortality, respectively. A strategy to minimize years of life lost involves the vaccination of adults aged 40–69 years, reflecting the relatively high case-fatality rates and years of life lost in this age group. An incidence-minimizing vaccination strategy is highly sensitive to vaccine efficacy, and vaccines with lower efficacy should be administered to teenagers and adults aged 50–59 years. Consideration of age-specific contact rates and vaccine efficacy is critical to optimize vaccine allocation. New recommendations for COVID-19 vaccines under consideration by the Korean Centers for Disease Control and Prevention are mainly based on a mortality-minimizing allocation strategy.
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Affiliation(s)
- Eunha Shim
- Department of Mathematics, Soongsil University, Seoul 06978, Korea
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24
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Ioannidis JPA. Infection fatality rate of COVID-19 inferred from seroprevalence data. Bull World Health Organ 2021; 99:19-33F. [PMID: 33716331 PMCID: PMC7947934 DOI: 10.2471/blt.20.265892] [Citation(s) in RCA: 202] [Impact Index Per Article: 50.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Revised: 09/13/2020] [Accepted: 09/15/2020] [Indexed: 12/16/2022] Open
Abstract
OBJECTIVE To estimate the infection fatality rate of coronavirus disease 2019 (COVID-19) from seroprevalence data. METHODS I searched PubMed and preprint servers for COVID-19 seroprevalence studies with a sample size ≥ 500 as of 9 September 2020. I also retrieved additional results of national studies from preliminary press releases and reports. I assessed the studies for design features and seroprevalence estimates. I estimated the infection fatality rate for each study by dividing the cumulative number of COVID-19 deaths by the number of people estimated to be infected in each region. I corrected for the number of immunoglobin (Ig) types tested (IgG, IgM, IgA). FINDINGS I included 61 studies (74 estimates) and eight preliminary national estimates. Seroprevalence estimates ranged from 0.02% to 53.40%. Infection fatality rates ranged from 0.00% to 1.63%, corrected values from 0.00% to 1.54%. Across 51 locations, the median COVID-19 infection fatality rate was 0.27% (corrected 0.23%): the rate was 0.09% in locations with COVID-19 population mortality rates less than the global average (< 118 deaths/million), 0.20% in locations with 118-500 COVID-19 deaths/million people and 0.57% in locations with > 500 COVID-19 deaths/million people. In people younger than 70 years, infection fatality rates ranged from 0.00% to 0.31% with crude and corrected medians of 0.05%. CONCLUSION The infection fatality rate of COVID-19 can vary substantially across different locations and this may reflect differences in population age structure and case-mix of infected and deceased patients and other factors. The inferred infection fatality rates tended to be much lower than estimates made earlier in the pandemic.
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Affiliation(s)
- John P A Ioannidis
- Meta-Research Innovation Center at Stanford (METRICS), Stanford University, 1265 Welch Road, Stanford, California 94305, United States of America
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25
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Abstract
OBJECTIVE To estimate the infection fatality rate of coronavirus disease 2019 (COVID-19) from seroprevalence data. METHODS I searched PubMed and preprint servers for COVID-19 seroprevalence studies with a sample size ≥ 500 as of 9 September 2020. I also retrieved additional results of national studies from preliminary press releases and reports. I assessed the studies for design features and seroprevalence estimates. I estimated the infection fatality rate for each study by dividing the cumulative number of COVID-19 deaths by the number of people estimated to be infected in each region. I corrected for the number of immunoglobin (Ig) types tested (IgG, IgM, IgA). FINDINGS I included 61 studies (74 estimates) and eight preliminary national estimates. Seroprevalence estimates ranged from 0.02% to 53.40%. Infection fatality rates ranged from 0.00% to 1.63%, corrected values from 0.00% to 1.54%. Across 51 locations, the median COVID-19 infection fatality rate was 0.27% (corrected 0.23%): the rate was 0.09% in locations with COVID-19 population mortality rates less than the global average (< 118 deaths/million), 0.20% in locations with 118-500 COVID-19 deaths/million people and 0.57% in locations with > 500 COVID-19 deaths/million people. In people younger than 70 years, infection fatality rates ranged from 0.00% to 0.31% with crude and corrected medians of 0.05%. CONCLUSION The infection fatality rate of COVID-19 can vary substantially across different locations and this may reflect differences in population age structure and case-mix of infected and deceased patients and other factors. The inferred infection fatality rates tended to be much lower than estimates made earlier in the pandemic.
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Affiliation(s)
- John P A Ioannidis
- Meta-Research Innovation Center at Stanford (METRICS), Stanford University, 1265 Welch Road, Stanford, California 94305, United States of America
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26
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Mahallawi WH, Al-Zalabani AH. The seroprevalence of SARS-CoV-2 IgG antibodies among asymptomatic blood donors in Saudi Arabia. Saudi J Biol Sci 2020; 28:1697-1701. [PMID: 33519277 PMCID: PMC7834401 DOI: 10.1016/j.sjbs.2020.12.009] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Revised: 12/05/2020] [Accepted: 12/06/2020] [Indexed: 02/03/2023] Open
Abstract
Background In late 2019, cases of severe pneumonia with unidentified etiology began to emerge in Wuhan, China, before progressively spreading first nationally and then globally.The current study sought to investigate the seroprevalence of immunoglobulin G (IgG) antibodies against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) among blood donors in Al-Madinah, Saudi Arabia. To our knowledge, this is the first study in Saudi Arabia to screen blood donors who were not known to be previously infected with SARS-CoV-2. Methods This study was a cross-sectional study to assess individuals who donated blood to the central blood bank in Al-Madinah between mid-May and mid-July 2020. An enzyme-linked immunosorbent assay (ELISA) was designed and established to detect antibodies directed against the SARS-CoV-2 spike protein in serum samples. A total of 1,212 healthy blood donors participated in this study. The donors were males and met the requirements for blood donation during the COVID-19 pandemic period in Saudi Arabia. Results The SARS-CoV-2 seroprevalence among blood donors in Al-Madinah was 19.31% (n = 234/1212; 95% confidence interval: 17.12%-21.64%). No statistically significant difference was identified in seropositivity according to age. However, significant differences (p < 0.001) were identified according to ABO blood groups, with those with type A blood presenting the highest rate of seropositivity (29.18%) compared with the other blood groups (12.65% for type B, 16.36% for type AB, and 15.11% for type O). Conclusion A high prevalence of SARS-CoV-2 antibodies was detected among blood donors in Al-Madinah, which indicated a high level of exposure to the virus within the population. This further suggested that as high as one-fifth of the population may have acquired innate immunity against the virus.
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Affiliation(s)
- Waleed H Mahallawi
- Medical Laboratory Technology Department, College of Applied Medical Sciences, Taibah University, Madinah, Saudi Arabia
| | - Abdulmohsen H Al-Zalabani
- Department of Family and Community Medicine, Faculty of Medicine, Taibah University, Madinah, Saudi Arabia
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27
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Lai CC, Wang JH, Hsueh PR. Population-based seroprevalence surveys of anti-SARS-CoV-2 antibody: An up-to-date review. Int J Infect Dis 2020; 101:314-322. [PMID: 33045429 PMCID: PMC7546669 DOI: 10.1016/j.ijid.2020.10.011] [Citation(s) in RCA: 144] [Impact Index Per Article: 28.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Revised: 09/23/2020] [Accepted: 10/04/2020] [Indexed: 01/12/2023] Open
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of coronavirus disease 2019 (COVID-19), has led to a global pandemic. However, the majority of currently available data are restricted to laboratory-confirmed cases for symptomatic patients, and the SARS-CoV-2 infection can manifest as an asymptomatic or mild disease. Therefore, the true extent of the burden of COVID-19 may be underestimated. Improved serological detection of specific antibodies against SARS-CoV-2 could help estimate the true numbers of infections. This article comprehensively reviews the associated literature and provides updated information regarding the seroprevalence of the anti-SARS-CoV-2 antibody. The seroprevalence can vary across different sites and the seroprevalence can increase with time during longitudinal follow-up. Although healthcare workers (HCWs), especially those caring for COVID-19 patients, are considered as a high-risk group, the seroprevalence in HCWs wearing adequate personal protective equipment is thought to be no higher than that in other groups. With regard to sex, no statistically significant difference has been found between male and female subjects. Some, but not all, studies have shown that children have a lower risk than other age groups. Finally, seroprevalence can vary according to different populations, such as pregnant women and hemodialysis patients; however, limited studies have examined these associations. Furthermore, the continued surveillance of seroprevalence is warranted to estimate and monitor the growing burden of COVID-19.
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Affiliation(s)
- Chih-Cheng Lai
- Department of Internal Medicine, Kaohsiung Veterans General Hospital, Tainan Branch, Tainan, Taiwan
| | - Jui-Hsiang Wang
- Department of Internal Medicine, Kaohsiung Veterans General Hospital, Tainan Branch, Tainan, Taiwan
| | - Po-Ren Hsueh
- Department of Laboratory Medicine, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei, Taiwan; Department of Internal Medicine, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei, Taiwan.
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28
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Kim H, Seiler P, Jones JC, Ridout G, Camp KP, Fabrizio TP, Jeevan T, Miller LA, Throm RE, Ferrara F, Fredrickson RL, Lowe JF, Wang L, Odemuyiwa SO, Wan XF, Webby RJ. Antibody Responses to SARS-CoV-2 Antigens in Humans and Animals. Vaccines (Basel) 2020; 8:684. [PMID: 33207583 PMCID: PMC7712576 DOI: 10.3390/vaccines8040684] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Revised: 11/10/2020] [Accepted: 11/12/2020] [Indexed: 02/07/2023] Open
Abstract
To optimize the public health response to coronavirus disease 2019 (COVID-19), we must first understand the antibody response to individual proteins on the severe acute respiratory syndrome-related coronavirus 2 (SARS-CoV-2) and the antibody's cross reactivity to other coronaviruses. Using a panel of 37 convalescent COVID-19 human serum samples, we showed that the magnitude and specificity of responses varied across individuals, independent of their reactivity to seasonal human coronaviruses (HCoVs). These data suggest that COVID-19 vaccines will elicit primary humoral immune responses in naïve individuals and variable responses in those previously exposed to SARS-CoV-2. Unlike the limited cross-coronavirus reactivities in humans, serum samples from 96 dogs and 10 cats showed SARS-CoV-2 protein-specific responses focused on non-S1 proteins. The correlation of this response with those to other coronaviruses suggests that the antibodies are cross-reactive and generated to endemic viruses within these hosts, which must be considered in seroepidemiologic studies. We conclude that substantial variation in antibody generation against coronavirus proteins will influence interpretations of serologic data in the clinical and veterinary settings.
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Affiliation(s)
- Hyunsuh Kim
- Department of Infectious Diseases, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA; (H.K.); (P.S.); (J.C.J.); (T.P.F.); (T.J.); (L.A.M.)
| | - Patrick Seiler
- Department of Infectious Diseases, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA; (H.K.); (P.S.); (J.C.J.); (T.P.F.); (T.J.); (L.A.M.)
| | - Jeremy C. Jones
- Department of Infectious Diseases, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA; (H.K.); (P.S.); (J.C.J.); (T.P.F.); (T.J.); (L.A.M.)
| | - Granger Ridout
- Hartwell Center for Bioinformatics & Biotechnology, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA;
| | | | - Thomas P. Fabrizio
- Department of Infectious Diseases, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA; (H.K.); (P.S.); (J.C.J.); (T.P.F.); (T.J.); (L.A.M.)
| | - Trushar Jeevan
- Department of Infectious Diseases, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA; (H.K.); (P.S.); (J.C.J.); (T.P.F.); (T.J.); (L.A.M.)
| | - Lance A. Miller
- Department of Infectious Diseases, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA; (H.K.); (P.S.); (J.C.J.); (T.P.F.); (T.J.); (L.A.M.)
| | - Robert E. Throm
- Vector Development & Production, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA; (R.E.T.); (F.F.)
| | - Francesca Ferrara
- Vector Development & Production, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA; (R.E.T.); (F.F.)
| | - Richard L. Fredrickson
- Veterinary Diagnostic Laboratory, College of Veterinary Medicine, University of Illinois at Urbana-Champaign, Urbana, IL 61820, USA;
| | - James F. Lowe
- Integrated Food Animal Management Systems, Department of Veterinary Clinical Medicine, College of Veterinary Medicine, University of Illinois at Urbana-Champaign, Urbana, IL 61820, USA;
| | - Leyi Wang
- Department of Veterinary Clinical Medicine and the Veterinary Diagnostic Laboratory, College of Veterinary Medicine, University of Illinois at Urbana-Champaign, Urbana, IL 61820, USA;
| | - Solomon O. Odemuyiwa
- Department of Veterinary Pathobiology, College of Veterinary Medicine, University of Missouri, Columbia, MO 65211, USA; (S.O.O.); (X.-F.W.)
| | - Xiu-Feng Wan
- Department of Veterinary Pathobiology, College of Veterinary Medicine, University of Missouri, Columbia, MO 65211, USA; (S.O.O.); (X.-F.W.)
| | - Richard J. Webby
- Department of Infectious Diseases, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA; (H.K.); (P.S.); (J.C.J.); (T.P.F.); (T.J.); (L.A.M.)
- Department of Microbiology, Immunology & Biochemistry, College of Medicine, The University of Tennessee Health Science Center, Memphis, TN 38163, USA
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29
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Jeong HJ, Min S, Chae H, Kim S, Lee G, Namgoong SK, Jeong K. Signal amplification by reversible exchange for COVID-19 antiviral drug candidates. Sci Rep 2020; 10:14290. [PMID: 32868801 PMCID: PMC7459298 DOI: 10.1038/s41598-020-71282-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Accepted: 08/11/2020] [Indexed: 12/02/2022] Open
Abstract
Several drug candidates have been proposed and tested as the latest clinical treatment for coronavirus pneumonia (COVID-19). Chloroquine, hydroxychloroquine, ritonavir/lopinavir, and favipiravir are under trials for the treatment of this disease. The hyperpolarization technique has the ability to further provide a better understanding of the roles of these drugs at the molecular scale and in different applications in the field of nuclear magnetic resonance/magnetic resonance imaging. This technique may provide new opportunities in diagnosis and research of COVID-19. Signal amplification by reversible exchange-based hyperpolarization studies on large-sized drug candidates were carried out. We observed hyperpolarized proton signals from whole structures, due to the unprecedented long-distance polarization transfer by para-hydrogen. We also found that the optimal magnetic field for the maximum polarization transfer yield was dependent on the molecular structure. We can expect further research on the hyperpolarization of other important large molecules, isotope labeling, as well as polarization transfer on nuclei with a long spin relaxation time. A clinical perspective of these features on drug molecules can broaden the application of hyperpolarization techniques for therapeutic studies.
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Affiliation(s)
- Hye Jin Jeong
- Department of Chemistry, Korea Military Academy, Seoul, 01805, South Korea
| | - Sein Min
- Department of Chemistry, Seoul Women's University, Seoul, 01797, South Korea
| | - Heelim Chae
- Department of Chemistry, Seoul Women's University, Seoul, 01797, South Korea
| | - Sarah Kim
- Department of Chemistry, Seoul Women's University, Seoul, 01797, South Korea
| | - Gunwoo Lee
- Department of Chemistry, Korea Military Academy, Seoul, 01805, South Korea
| | - Sung Keon Namgoong
- Department of Chemistry, Seoul Women's University, Seoul, 01797, South Korea
| | - Keunhong Jeong
- Department of Chemistry, Korea Military Academy, Seoul, 01805, South Korea.
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