Seroepidemiological study of SARS-CoV-2 infection in East Java, Indonesia
Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to a global pandemic, including Indonesia. However, there are only limited data regarding the precise prevalence of the COVID-19 pandemic in Indonesia. Here, to estimate the magnitude o...
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| Vydané v: | PLOS ONE Ročník 16; číslo 5; s. e0251234 |
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| Hlavní autori: | , , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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United States
Public Library of Science (PLoS)
06.05.2021
Public Library of Science |
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| ISSN: | 1932-6203, 1932-6203 |
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| Abstract | Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to a global pandemic, including Indonesia. However, there are only limited data regarding the precise prevalence of the COVID-19 pandemic in Indonesia. Here, to estimate the magnitude of SARS-CoV-2 infection in East Java, Indonesia, we investigated the prevalence of immunoglobulin G (IgG) antibodies. We enrolled 1,819 individuals from June to December 2020 and observed that the subjects’ overall prevalence of IgG antibody to SARS-CoV-2 was 11.4% (207/1,819). The prevalence of anti-SARS-CoV-2 antibodies differed significantly between the job/occupation groups (P = 0.0001). A greater prevalence of IgG was detected in laboratory technicians (who take samples from suspected cases and deal with polymerase chain reaction [PCR] procedures, 22.2%) compared to medical personnel who see and take direct care of patients with COVID-19 (e.g., physicians and nurses, 6.0%), other staff in medical facilities (2.9%), general population (12.1%) and non-COVID-19 patients (14.6%). The highest prevalence among age groups was in the 40–49-year-olds (14.8%), and the lowest prevalence was in the 20–29-year-olds (7.4%). However, the younger population still showed a higher prevalence than generally reported, suggesting greater exposure to the virus but less susceptibility to the disease. A geographical difference was also observed: a higher prevalence in Surabaya (13.1%) than in Jombang (9.9%). In conclusion, the COVID-19 outbreak among asymptomatic populations was characterized by a high prevalence of infection in East Java, Indonesia. |
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| AbstractList | Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to a global pandemic, including Indonesia. However, there are only limited data regarding the precise prevalence of the COVID-19 pandemic in Indonesia. Here, to estimate the magnitude of SARS-CoV-2 infection in East Java, Indonesia, we investigated the prevalence of immunoglobulin G (IgG) antibodies. We enrolled 1,819 individuals from June to December 2020 and observed that the subjects' overall prevalence of IgG antibody to SARS-CoV-2 was 11.4% (207/1,819). The prevalence of anti-SARS-CoV-2 antibodies differed significantly between the job/occupation groups (P = 0.0001). A greater prevalence of IgG was detected in laboratory technicians (who take samples from suspected cases and deal with polymerase chain reaction [PCR] procedures, 22.2%) compared to medical personnel who see and take direct care of patients with COVID-19 (e.g., physicians and nurses, 6.0%), other staff in medical facilities (2.9%), general population (12.1%) and non-COVID-19 patients (14.6%). The highest prevalence among age groups was in the 40-49-year-olds (14.8%), and the lowest prevalence was in the 20-29-year-olds (7.4%). However, the younger population still showed a higher prevalence than generally reported, suggesting greater exposure to the virus but less susceptibility to the disease. A geographical difference was also observed: a higher prevalence in Surabaya (13.1%) than in Jombang (9.9%). In conclusion, the COVID-19 outbreak among asymptomatic populations was characterized by a high prevalence of infection in East Java, Indonesia. Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to a global pandemic, including Indonesia. However, there are only limited data regarding the precise prevalence of the COVID-19 pandemic in Indonesia. Here, to estimate the magnitude of SARS-CoV-2 infection in East Java, Indonesia, we investigated the prevalence of immunoglobulin G (IgG) antibodies. We enrolled 1,819 individuals from June to December 2020 and observed that the subjects' overall prevalence of IgG antibody to SARS-CoV-2 was 11.4% (207/1,819). The prevalence of anti-SARS-CoV-2 antibodies differed significantly between the job/occupation groups (P = 0.0001). A greater prevalence of IgG was detected in laboratory technicians (who take samples from suspected cases and deal with polymerase chain reaction [PCR] procedures, 22.2%) compared to medical personnel who see and take direct care of patients with COVID-19 (e.g., physicians and nurses, 6.0%), other staff in medical facilities (2.9%), general population (12.1%) and non-COVID-19 patients (14.6%). The highest prevalence among age groups was in the 40-49-year-olds (14.8%), and the lowest prevalence was in the 20-29-year-olds (7.4%). However, the younger population still showed a higher prevalence than generally reported, suggesting greater exposure to the virus but less susceptibility to the disease. A geographical difference was also observed: a higher prevalence in Surabaya (13.1%) than in Jombang (9.9%). In conclusion, the COVID-19 outbreak among asymptomatic populations was characterized by a high prevalence of infection in East Java, Indonesia.Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to a global pandemic, including Indonesia. However, there are only limited data regarding the precise prevalence of the COVID-19 pandemic in Indonesia. Here, to estimate the magnitude of SARS-CoV-2 infection in East Java, Indonesia, we investigated the prevalence of immunoglobulin G (IgG) antibodies. We enrolled 1,819 individuals from June to December 2020 and observed that the subjects' overall prevalence of IgG antibody to SARS-CoV-2 was 11.4% (207/1,819). The prevalence of anti-SARS-CoV-2 antibodies differed significantly between the job/occupation groups (P = 0.0001). A greater prevalence of IgG was detected in laboratory technicians (who take samples from suspected cases and deal with polymerase chain reaction [PCR] procedures, 22.2%) compared to medical personnel who see and take direct care of patients with COVID-19 (e.g., physicians and nurses, 6.0%), other staff in medical facilities (2.9%), general population (12.1%) and non-COVID-19 patients (14.6%). The highest prevalence among age groups was in the 40-49-year-olds (14.8%), and the lowest prevalence was in the 20-29-year-olds (7.4%). However, the younger population still showed a higher prevalence than generally reported, suggesting greater exposure to the virus but less susceptibility to the disease. A geographical difference was also observed: a higher prevalence in Surabaya (13.1%) than in Jombang (9.9%). In conclusion, the COVID-19 outbreak among asymptomatic populations was characterized by a high prevalence of infection in East Java, Indonesia. Ni Luh Ayu Megasari, Takako Utsumi Roles Conceptualization, Data curation, Formal analysis, Writing – original draft, Writing – review & editing * E-mail: tutsumi@people.kobe-u.ac.jp Affiliations Indonesia-Japan Collaborative Research Center for Emerging and Re-Emerging Infectious Diseases, Institute of Tropical Disease, Airlangga University, Surabaya, Indonesia, Center for Infectious Diseases, Kobe University Graduate School of Medicine, Hyogo, Japan ORCID logo https://orcid.org/0000-0001-6539-5064 Laura Navika Yamani Roles Data curation, Methodology Affiliations Indonesia-Japan Collaborative Research Center for Emerging and Re-Emerging Infectious Diseases, Institute of Tropical Disease, Airlangga University, Surabaya, Indonesia, Department of Epidemiology, Faculty of Public Health, Airlangga University, Surabaya, Indonesia Juniastuti Roles Methodology, Resources Affiliation: Indonesia-Japan Collaborative Research Center for Emerging and Re-Emerging Infectious Diseases, Institute of Tropical Disease, Airlangga University, Surabaya, Indonesia Emily Gunawan Roles Data curation, Formal analysis, Writing – review & editing Affiliation: Indonesia-Japan Collaborative Research Center for Emerging and Re-Emerging Infectious Diseases, Institute of Tropical Disease, Airlangga University, Surabaya, Indonesia ORCID logo https://orcid.org/0000-0003-3666-3714 Koichi Furukawa Roles Data curation, Methodology Affiliation: Center for Infectious Diseases, Kobe University Graduate School of Medicine, Hyogo, Japan Mitsuhiro Nishimura Roles Methodology Affiliation: Center for Infectious Diseases, Kobe University Graduate School of Medicine, Hyogo, Japan Maria Inge Lusida Roles Supervision Affiliation: Indonesia-Japan Collaborative Research Center for Emerging and Re-Emerging Infectious Diseases, Institute of Tropical Disease, Airlangga University, Surabaya, Indonesia Yasuko Mori Roles Conceptualization, Supervision Affiliation: Center for Infectious Diseases, Kobe University Graduate School of Medicine, Hyogo, Japan Introduction Coronavirus disease 2019 (COVID-19) is a respiratory illness caused by the newly discovered severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The 27 patients were diagnosed by a polymerase chain reaction (PCR) test and clinical manifestations, which revealed 25 moderate cases, one severe case, and one critical-stage case according to the criteria of the Indonesian COVID-19 Treatment Guidelines [19]. Demographic characteristics and IgG positivity of the cohort. https://doi.org/10.1371/journal.pone.0251234.t001 Sample collection Blood samples were collected at two communities and one medical research center in Surabaya and one private hospital in Jombang. The inclusion criteria were workers (medical personnel, laboratory technician and other staff) and non-COVID-19 patients in medical facilities as well as general population in the community. Ni Luh Ayu Megasari, Takako Utsumi Roles Conceptualization, Data curation, Formal analysis, Writing – original draft, Writing – review & editing * E-mail: tutsumi@people.kobe-u.ac.jp Affiliations Indonesia-Japan Collaborative Research Center for Emerging and Re-Emerging Infectious Diseases, Institute of Tropical Disease, Airlangga University, Surabaya, Indonesia, Center for Infectious Diseases, Kobe University Graduate School of Medicine, Hyogo, Japan ORCID logo https://orcid.org/0000-0001-6539-5064 Laura Navika Yamani Roles Data curation, Methodology Affiliations Indonesia-Japan Collaborative Research Center for Emerging and Re-Emerging Infectious Diseases, Institute of Tropical Disease, Airlangga University, Surabaya, Indonesia, Department of Epidemiology, Faculty of Public Health, Airlangga University, Surabaya, Indonesia Juniastuti Roles Methodology, Resources Affiliation: Indonesia-Japan Collaborative Research Center for Emerging and Re-Emerging Infectious Diseases, Institute of Tropical Disease, Airlangga University, Surabaya, Indonesia Emily Gunawan Roles Data curation, Formal analysis, Writing – review & editing Affiliation: Indonesia-Japan Collaborative Research Center for Emerging and Re-Emerging Infectious Diseases, Institute of Tropical Disease, Airlangga University, Surabaya, Indonesia ORCID logo https://orcid.org/0000-0003-3666-3714 Koichi Furukawa Roles Data curation, Methodology Affiliation: Center for Infectious Diseases, Kobe University Graduate School of Medicine, Hyogo, Japan Mitsuhiro Nishimura Roles Methodology Affiliation: Center for Infectious Diseases, Kobe University Graduate School of Medicine, Hyogo, Japan Maria Inge Lusida Roles Supervision Affiliation: Indonesia-Japan Collaborative Research Center for Emerging and Re-Emerging Infectious Diseases, Institute of Tropical Disease, Airlangga University, Surabaya, Indonesia Yasuko Mori Roles Conceptualization, Supervision Affiliation: Center for Infectious Diseases, Kobe University Graduate School of Medicine, Hyogo, Japan Introduction Coronavirus disease 2019 (COVID-19) is a respiratory illness caused by the newly discovered severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The 27 patients were diagnosed by a polymerase chain reaction (PCR) test and clinical manifestations, which revealed 25 moderate cases, one severe case, and one critical-stage case according to the criteria of the Indonesian COVID-19 Treatment Guidelines [19]. Demographic characteristics and IgG positivity of the cohort. https://doi.org/10.1371/journal.pone.0251234.t001 Sample collection Blood samples were collected at two communities and one medical research center in Surabaya and one private hospital in Jombang. The inclusion criteria were workers (medical personnel, laboratory technician and other staff) and non-COVID-19 patients in medical facilities as well as general population in the community. |
| Audience | Academic |
| Author | Yasuko Mori Mitsuhiro Nishimura Takako Utsumi Maria Inge Lusida Emily Gunawan Laura Navika Yamani Koichi Furukawa Juniastuti Ni Luh Ayu Megasari |
| AuthorAffiliation | 3 Department of Epidemiology, Faculty of Public Health, Airlangga University, Surabaya, Indonesia 1 Indonesia-Japan Collaborative Research Center for Emerging and Re-Emerging Infectious Diseases, Institute of Tropical Disease, Airlangga University, Surabaya, Indonesia National Institute for Infectious Diseases Lazzaro Spallanzani-IRCCS, ITALY 2 Center for Infectious Diseases, Kobe University Graduate School of Medicine, Hyogo, Japan |
| AuthorAffiliation_xml | – name: 1 Indonesia-Japan Collaborative Research Center for Emerging and Re-Emerging Infectious Diseases, Institute of Tropical Disease, Airlangga University, Surabaya, Indonesia – name: 2 Center for Infectious Diseases, Kobe University Graduate School of Medicine, Hyogo, Japan – name: 3 Department of Epidemiology, Faculty of Public Health, Airlangga University, Surabaya, Indonesia – name: National Institute for Infectious Diseases Lazzaro Spallanzani-IRCCS, ITALY |
| Author_xml | – sequence: 1 givenname: Ni Luh Ayu orcidid: 0000-0002-4452-5250 surname: Megasari fullname: Megasari, Ni Luh Ayu – sequence: 2 givenname: Takako orcidid: 0000-0001-6539-5064 surname: Utsumi fullname: Utsumi, Takako – sequence: 3 givenname: Laura Navika surname: Yamani fullname: Yamani, Laura Navika – sequence: 4 surname: Juniastuti fullname: Juniastuti – sequence: 5 givenname: Emily orcidid: 0000-0003-3666-3714 surname: Gunawan fullname: Gunawan, Emily – sequence: 6 givenname: Koichi surname: Furukawa fullname: Furukawa, Koichi – sequence: 7 givenname: Mitsuhiro surname: Nishimura fullname: Nishimura, Mitsuhiro – sequence: 8 givenname: Maria Inge surname: Lusida fullname: Lusida, Maria Inge – sequence: 9 givenname: Yasuko surname: Mori fullname: Mori, Yasuko |
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| Copyright | COPYRIGHT 2021 Public Library of Science 2021 Megasari et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2021 Megasari et al 2021 Megasari et al |
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| PublicationDecade | 2020 |
| PublicationPlace | United States |
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| PublicationTitle | PLOS ONE |
| PublicationTitleAlternate | PLoS One |
| PublicationYear | 2021 |
| Publisher | Public Library of Science (PLoS) Public Library of Science |
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