Confidence intervals for the COVID-19 neutralizing antibody retention rate in the Korean population
The coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has become a global pandemic. No specific therapeutic agents or vaccines for COVID-19 are available, though several antiviral drugs, are under investigation as treatment agents for COVID-...
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| Format: | Article |
| Language: | English |
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BioMed Central
2020-09-01
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| Series: | Genomics & Informatics |
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| Online Access: | http://genominfo.org/upload/pdf/gi-2020-18-3-e31.pdf |
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| author | Catherine Apio Md. Kamruzzaman Taesung Park |
| author_facet | Catherine Apio Md. Kamruzzaman Taesung Park |
| author_sort | Catherine Apio |
| collection | DOAJ |
| description | The coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has become a global pandemic. No specific therapeutic agents or vaccines for COVID-19 are available, though several antiviral drugs, are under investigation as treatment agents for COVID-19. The use of convalescent plasma transfusion that contain neutralizing antibodies for COVID-19 has become the major focus. This requires mass screening of populations for these antibodies. While several countries started reporting population based antibody rate, its simple point estimate may be misinterpreted without proper estimation of standard error and confidence intervals. In this paper, we review the importance of antibody studies and present the 95% confidence intervals COVID-19 antibody rate for the Korean population using two recently performed antibody tests in Korea. Due to the sparsity of data, the estimation of confidence interval is a big challenge. Thus, we consider several confidence intervals using Asymptotic, Exact and Bayesian estimation methods. In this article, we found that the Wald method gives the narrowest interval among all Asymptotic methods whereas mid p-value gives the narrowest among all Exact methods and Jeffrey’s method gives the narrowest from Bayesian method. The most conservative 95% confidence interval estimation shows that as of 00:00 on September 15, 2020, at least 32,602 people were infected but not confirmed in Korea. |
| format | Article |
| id | doaj-art-d1b3e15d8fbf4f81b2d91d698c60b517 |
| institution | Kabale University |
| issn | 2234-0742 |
| language | English |
| publishDate | 2020-09-01 |
| publisher | BioMed Central |
| record_format | Article |
| series | Genomics & Informatics |
| spelling | doaj-art-d1b3e15d8fbf4f81b2d91d698c60b5172025-02-02T21:02:49ZengBioMed CentralGenomics & Informatics2234-07422020-09-01183e3110.5808/GI.2020.18.3.e31622Confidence intervals for the COVID-19 neutralizing antibody retention rate in the Korean populationCatherine Apio0Md. Kamruzzaman1Taesung Park2 Interdisplinary Program in Bioinformatics, Department of Statistics, Seoul National University, Seoul 08826, Korea Department of Statistics, Seoul National University, Seoul 08826, Korea Interdisplinary Program in Bioinformatics, Department of Statistics, Seoul National University, Seoul 08826, KoreaThe coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has become a global pandemic. No specific therapeutic agents or vaccines for COVID-19 are available, though several antiviral drugs, are under investigation as treatment agents for COVID-19. The use of convalescent plasma transfusion that contain neutralizing antibodies for COVID-19 has become the major focus. This requires mass screening of populations for these antibodies. While several countries started reporting population based antibody rate, its simple point estimate may be misinterpreted without proper estimation of standard error and confidence intervals. In this paper, we review the importance of antibody studies and present the 95% confidence intervals COVID-19 antibody rate for the Korean population using two recently performed antibody tests in Korea. Due to the sparsity of data, the estimation of confidence interval is a big challenge. Thus, we consider several confidence intervals using Asymptotic, Exact and Bayesian estimation methods. In this article, we found that the Wald method gives the narrowest interval among all Asymptotic methods whereas mid p-value gives the narrowest among all Exact methods and Jeffrey’s method gives the narrowest from Bayesian method. The most conservative 95% confidence interval estimation shows that as of 00:00 on September 15, 2020, at least 32,602 people were infected but not confirmed in Korea.http://genominfo.org/upload/pdf/gi-2020-18-3-e31.pdfantibodyconfidence intervalcovid-19retention rate |
| spellingShingle | Catherine Apio Md. Kamruzzaman Taesung Park Confidence intervals for the COVID-19 neutralizing antibody retention rate in the Korean population Genomics & Informatics antibody confidence interval covid-19 retention rate |
| title | Confidence intervals for the COVID-19 neutralizing antibody retention rate in the Korean population |
| title_full | Confidence intervals for the COVID-19 neutralizing antibody retention rate in the Korean population |
| title_fullStr | Confidence intervals for the COVID-19 neutralizing antibody retention rate in the Korean population |
| title_full_unstemmed | Confidence intervals for the COVID-19 neutralizing antibody retention rate in the Korean population |
| title_short | Confidence intervals for the COVID-19 neutralizing antibody retention rate in the Korean population |
| title_sort | confidence intervals for the covid 19 neutralizing antibody retention rate in the korean population |
| topic | antibody confidence interval covid-19 retention rate |
| url | http://genominfo.org/upload/pdf/gi-2020-18-3-e31.pdf |
| work_keys_str_mv | AT catherineapio confidenceintervalsforthecovid19neutralizingantibodyretentionrateinthekoreanpopulation AT mdkamruzzaman confidenceintervalsforthecovid19neutralizingantibodyretentionrateinthekoreanpopulation AT taesungpark confidenceintervalsforthecovid19neutralizingantibodyretentionrateinthekoreanpopulation |