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  1. Article ; Online: Development of New Stringency Indices for Nonpharmacological Social Distancing Policies Implemented in Korea During the COVID-19 Pandemic: Random Forest Approach.

    Apio, Catherine / Han, Kyulhee / Lee, Doeun / Lee, Bogyeom / Park, Taesung

    JMIR public health and surveillance

    2024  Volume 10, Page(s) e47099

    Abstract: Background: In the absence of an effective treatment method or vaccine, the outbreak of the COVID-19 pandemic elicited a wide range of unprecedented restriction policies aimed at mitigating and suppressing the spread of the SARS-CoV-2 virus. These ... ...

    Abstract Background: In the absence of an effective treatment method or vaccine, the outbreak of the COVID-19 pandemic elicited a wide range of unprecedented restriction policies aimed at mitigating and suppressing the spread of the SARS-CoV-2 virus. These policies and their Stringency Index (SI) of more than 160 countries were systematically recorded in the Oxford COVID-19 Government Response Tracker (OxCGRT) data set. The SI is a summary measure of the overall strictness of these policies. However, the OxCGRT SI may not fully reflect the stringency levels of the restriction policies implemented in Korea. Korea implemented 33 COVID-19 restriction policies targeting 4 areas: public facilities, public events, social gatherings, and religious gatherings.
    Objective: This study aims to develop new Korea Stringency Indices (KSIs) that reflect the stringency levels of Korea's restriction policies better and to determine which government-implemented policies were most effective in managing the COVID-19 pandemic in Korea.
    Methods: The random forest method was used to calculate the new KSIs using feature importance values and determine their effectiveness in managing daily COVID-19 confirmed cases. Five analysis periods were considered, including November 01, 2020, to January 20, 2021 (Period 1), January 20, 2021, to June 27, 2021 (Period 2), November 01, 2020, to June 27, 2021 (Period 3), June 27, 2021, to November 01, 2021 (Period 4), and November 01, 2021, to April 24, 2022 (Period 5).
    Results: Among the KSIs, public facilities in period 4, public events in period 2, religious gatherings in periods 1 and 3, and social gatherings in period 5 had the highest importance. Among the public facilities, policies associated with operation hour restrictions in cinemas, restaurants, PC rooms, indoor sports facilities, karaoke, coffee shops, night entertainment facilities, and baths or saunas had the highest importance across all analysis periods. Strong positive correlations were observed between daily confirmed cases and public facilities, religious gatherings, and public events in period 1 of the pandemic. From then, weaker and negative correlations were observed in the remaining analysis periods. The comparison with the OxCGRT SI showed that the SI had a relatively lower feature importance and correlation with daily confirmed cases than the proposed KSIs, making KSIs more effective than SI.
    Conclusions: Restriction policies targeting public facilities were the most effective among the policies analyzed. In addition, different periods call for the enforcement of different policies given their effectiveness varies during the pandemic.
    MeSH term(s) Humans ; COVID-19/epidemiology ; SARS-CoV-2 ; Pandemics/prevention & control ; Physical Distancing ; Random Forest ; Policy ; Republic of Korea/epidemiology
    Language English
    Publishing date 2024-01-08
    Publishing country Canada
    Document type Journal Article
    ISSN 2369-2960
    ISSN (online) 2369-2960
    DOI 10.2196/47099
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Development of New Stringency Indices for Nonpharmacological Social Distancing Policies Implemented in Korea During the COVID-19 Pandemic

    Catherine Apio / Kyulhee Han / Doeun Lee / Bogyeom Lee / Taesung Park

    JMIR Public Health and Surveillance, Vol 10, p e

    Random Forest Approach

    2024  Volume 47099

    Abstract: BackgroundIn the absence of an effective treatment method or vaccine, the outbreak of the COVID-19 pandemic elicited a wide range of unprecedented restriction policies aimed at mitigating and suppressing the spread of the SARS-CoV-2 virus. These policies ...

    Abstract BackgroundIn the absence of an effective treatment method or vaccine, the outbreak of the COVID-19 pandemic elicited a wide range of unprecedented restriction policies aimed at mitigating and suppressing the spread of the SARS-CoV-2 virus. These policies and their Stringency Index (SI) of more than 160 countries were systematically recorded in the Oxford COVID-19 Government Response Tracker (OxCGRT) data set. The SI is a summary measure of the overall strictness of these policies. However, the OxCGRT SI may not fully reflect the stringency levels of the restriction policies implemented in Korea. Korea implemented 33 COVID-19 restriction policies targeting 4 areas: public facilities, public events, social gatherings, and religious gatherings. ObjectiveThis study aims to develop new Korea Stringency Indices (KSIs) that reflect the stringency levels of Korea’s restriction policies better and to determine which government-implemented policies were most effective in managing the COVID-19 pandemic in Korea. MethodsThe random forest method was used to calculate the new KSIs using feature importance values and determine their effectiveness in managing daily COVID-19 confirmed cases. Five analysis periods were considered, including November 01, 2020, to January 20, 2021 (Period 1), January 20, 2021, to June 27, 2021 (Period 2), November 01, 2020, to June 27, 2021 (Period 3), June 27, 2021, to November 01, 2021 (Period 4), and November 01, 2021, to April 24, 2022 (Period 5). ResultsAmong the KSIs, public facilities in period 4, public events in period 2, religious gatherings in periods 1 and 3, and social gatherings in period 5 had the highest importance. Among the public facilities, policies associated with operation hour restrictions in cinemas, restaurants, PC rooms, indoor sports facilities, karaoke, coffee shops, night entertainment facilities, and baths or saunas had the highest importance across all analysis periods. Strong positive correlations were observed between daily confirmed cases and public facilities, ...
    Keywords Public aspects of medicine ; RA1-1270
    Subject code 941
    Language English
    Publishing date 2024-01-01T00:00:00Z
    Publisher JMIR Publications
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article: Mathematical modeling of the impact of Omicron variant on the COVID-19 situation in South Korea.

    Oh, Jooha / Apio, Catherine / Park, Taesung

    Genomics & informatics

    2022  Volume 20, Issue 2, Page(s) e22

    Abstract: The rise of newer coronavirus disease 2019 (COVID-19) variants has brought a challenge to ending the spread of COVID-19. The variants have a different fatality, morbidity, and transmission rates and affect vaccine efficacy differently. Therefore, the ... ...

    Abstract The rise of newer coronavirus disease 2019 (COVID-19) variants has brought a challenge to ending the spread of COVID-19. The variants have a different fatality, morbidity, and transmission rates and affect vaccine efficacy differently. Therefore, the impact of each new variant on the spread of COVID-19 is of interest to governments and scientists. Here, we proposed mathematical SEIQRDVP and SEIQRDV3P models to predict the impact of the Omicron variant on the spread of the COVID-19 situation in South Korea. SEIQEDVP considers one vaccine level at a time while SEIQRDV3P considers three vaccination levels (only one dose received, full doses received, and full doses + booster shots received) simultaneously. The omicron variant's effect was contemplated as a weighted sum of the delta and omicron variants' transmission rate and tuned using a hyperparameter k. Our models' performances were compared with common models like SEIR, SEIQR, and SEIQRDVUP using the root mean square error (RMSE). SEIQRDV3P performed better than the SEIQRDVP model. Without consideration of the variant effect, we don't see a rapid rise in COVID-19 cases and high RMSE values. But, with consideration of the omicron variant, we predicted a continuous rapid rise in COVID-19 cases until maybe herd immunity is developed in the population. Also, the RMSE value for the SEIQRDV3P model decreased by 27.4%. Therefore, modeling the impact of any new risen variant is crucial in determining the trajectory of the spread of COVID-19 and determining policies to be implemented.
    Language English
    Publishing date 2022-06-22
    Publishing country Korea (South)
    Document type Journal Article
    ZDB-ID 2802682-2
    ISSN 2234-0742 ; 1598-866X
    ISSN (online) 2234-0742
    ISSN 1598-866X
    DOI 10.5808/gi.22025
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: A statistical look at the COVID-19 vaccine development and vaccine policies.

    Apio, Catherine / Han, Kyulhee / Heo, Gyujin / Park, Taesung

    Frontiers in public health

    2022  Volume 10, Page(s) 1048062

    Abstract: The global outbreak of COVID-19 caused by the SARS-CoV-2 virus elicited immense global interest in the development and distribution of safe COVID-19 vaccines by various governments and researchers, capable of stopping the spread of COVID-19 disease. ... ...

    Abstract The global outbreak of COVID-19 caused by the SARS-CoV-2 virus elicited immense global interest in the development and distribution of safe COVID-19 vaccines by various governments and researchers, capable of stopping the spread of COVID-19 disease. After COVID-19 was declared a global pandemic, several vaccines have been developed for emergency use authorization. The accelerated development of the vaccines was attributed to many factors but mainly by capitalizing on years of research and technology development. Although several countries tried to develop COVID-19 vaccines only a few countries succeeded. Therefore, we applied statistical methods to find factors that have contributed to the fast development of COVID-19 vaccines. All 11 countries that developed vaccines were considered and chose other 24 countries for comparison purposes according to different criteria of their R&D. Fourteen R&D indicator variables that are a measure of the R&D for all countries [World Development Indicators (WDI)] were obtained from the World Bank DataBank and data on the COVID-19 vaccine R&D were obtained from The Knowledge Portal of the Graduate Institute Geneva and Global Health Center. The World Bank records WDI yearly, and 2019 was chosen because of a few missing values. Also, different vaccine policies were adopted by different countries during the COVID-19 vaccination period, producing different impacts of vaccinations on the population. So, we applied the generalized estimating equations (GEE) approach to find policies that contributed greatly to decreasing the spread of COVID-19 using data from the Oxford COVID-19 Government Response Tracker (OxCGRT) and age-specific vaccination data from the European Center for Disease and Prevention and Control. Logistic regression, two-sample
    MeSH term(s) Humans ; Middle Aged ; COVID-19 Vaccines ; COVID-19/epidemiology ; COVID-19/prevention & control ; SARS-CoV-2 ; Vaccines ; Policy ; Vaccine Development
    Chemical Substances COVID-19 Vaccines ; Vaccines
    Language English
    Publishing date 2022-12-05
    Publishing country Switzerland
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2711781-9
    ISSN 2296-2565 ; 2296-2565
    ISSN (online) 2296-2565
    ISSN 2296-2565
    DOI 10.3389/fpubh.2022.1048062
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Estimation of Undetected Asymptomatic COVID-19 Cases in South Korea Using a Probabilistic Model.

    Lee, Chanhee / Apio, Catherine / Park, Taesung

    International journal of environmental research and public health

    2021  Volume 18, Issue 9

    Abstract: Increasing evidence shows that many infections of COVID-19 are asymptomatic, becoming a global challenge, since asymptomatic infections have the same infectivity as symptomatic infections. We developed a probabilistic model for estimating the proportion ... ...

    Abstract Increasing evidence shows that many infections of COVID-19 are asymptomatic, becoming a global challenge, since asymptomatic infections have the same infectivity as symptomatic infections. We developed a probabilistic model for estimating the proportion of undetected asymptomatic COVID-19 patients in the country. We considered two scenarios: one is conservative and the other is nonconservative. By combining the above two scenarios, we gave an interval estimation of 0.0001-0.0027 and in terms of the population, 5200-139,900 is the number of undetected asymptomatic cases in South Korea as of 2 February 2021. In addition, we provide estimates for total cases of COVID-19 in South Korea. Combination of undetected asymptomatic cases and undetected symptomatic cases to the number of confirmed cases (78,844 cases on 2 February 2021) shows that 0.17-0.42% (89,244-218,744) of the population have COVID-19. In conclusion, to control and understand the true ongoing reality of the pandemic, it is of outermost importance to focus on the ratio of undetected asymptomatic cases in the total population.
    MeSH term(s) Asymptomatic Infections/epidemiology ; COVID-19 ; Humans ; Models, Statistical ; Pandemics ; Republic of Korea/epidemiology ; SARS-CoV-2
    Language English
    Publishing date 2021-05-06
    Publishing country Switzerland
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2175195-X
    ISSN 1660-4601 ; 1661-7827
    ISSN (online) 1660-4601
    ISSN 1661-7827
    DOI 10.3390/ijerph18094946
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Gene-diet interaction analysis using novel weighted food scores discovers the adipocytokine signaling pathway associated with the development of type 2 diabetes.

    Apio, Catherine / Chung, Wonil / Moon, Min Kyong / Kwon, Oran / Park, Taesung

    Frontiers in endocrinology

    2023  Volume 14, Page(s) 1165744

    Abstract: Introduction: The influence of dietary patterns measured using Recommended Food Score (RFS) with foods with high amounts of antioxidant nutrients for Type 2 diabetes (T2D) was analyzed. Our analysis aims to find associations between dietary patterns and ...

    Abstract Introduction: The influence of dietary patterns measured using Recommended Food Score (RFS) with foods with high amounts of antioxidant nutrients for Type 2 diabetes (T2D) was analyzed. Our analysis aims to find associations between dietary patterns and T2D and conduct a gene-diet interaction analysis related to T2D.
    Methods: Data analyzed in the current study were obtained from the Korean Genome and Epidemiology Study Cohort. The dietary patterns of 46 food items were assessed using a validated food frequency questionnaire. To maximize the predictive power of the RFS, we propose two weighted food scores, namely HisCoM-RFS calculated using the novel Hierarchical Structural Component model (HisCoM) and PLSDA-RFS calculated using Partial Least Squares-Discriminant Analysis (PLS-DA) method.
    Results: Both RFS (OR: 1.11; 95% CI: 1.03- 1.20; P = 0.009) and PLSDA-RFS (OR: 1.10; 95% CI: 1.02-1.19, P = 0.011) were positively associated with T2D. Mapping of SNPs (P < 0.05) from the interaction analysis between SNPs and the food scores to genes and pathways yielded some 12 genes (CACNA2D3, RELN, DOCK2, SLIT3, CTNNA2, etc.) and pathways associated with T2D. The strongest association was observed with the adipocytokine signalling pathway, highlighting 32 genes (STAT3, MAPK10, MAPK8, IRS1, AKT1-3, ADIPOR2, etc.) most likely associated with T2D. Finally, the group of the subjects in low, intermediate and high using both the food scores and a polygenic risk score found an association between diet quality groups with issues at high genetic risk of T2D.
    Conclusion: A dietary pattern of poor amounts of antioxidant nutrients is associated with the risk of T2D, and diet affects pathway mechanisms involved in developing T2D.
    MeSH term(s) Humans ; Diabetes Mellitus, Type 2/epidemiology ; Diabetes Mellitus, Type 2/genetics ; Antioxidants ; Diet ; Signal Transduction/genetics ; Adipokines
    Chemical Substances Antioxidants ; Adipokines
    Language English
    Publishing date 2023-08-23
    Publishing country Switzerland
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2592084-4
    ISSN 1664-2392
    ISSN 1664-2392
    DOI 10.3389/fendo.2023.1165744
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Factors Associated with Utilization of Sexual and Reproductive Health Services among the Youth in Lira City West, Northern Uganda: A Cross-Sectional Study.

    Murungi, Tom / Benyumiza, Deo / Apio, Juliet / Nekesa, Catherine / Nalubuuka, Aisha / Misuk, Ivan / Kumakech, Edward

    BioMed research international

    2023  Volume 2023, Page(s) 9649792

    Abstract: Background: The youth in Uganda, as in much of sub-Saharan Africa, face numerous sexual and reproductive health (SRH) challenges, from human immunodeficiency virus HIV infection, and unsafe abortions to unwanted pregnancies. This study, therefore, ... ...

    Abstract Background: The youth in Uganda, as in much of sub-Saharan Africa, face numerous sexual and reproductive health (SRH) challenges, from human immunodeficiency virus HIV infection, and unsafe abortions to unwanted pregnancies. This study, therefore, assessed the utilization of sexual and reproductive health services and associated factors among the youth in Lira city west, northern Uganda.
    Methods: This was a cross-sectional study conducted in January 2023 among 386 young people (15-24 years) in Lira city west division, Lira city. Multistage cluster sampling technique was used to recruit our study participants. Data were collected using an interviewer-administered questionnaire. Data were analyzed using SPSS version 23, descriptive statistics, cross-tabulation, bivariate, and multivariate logistic regression analyses. All variables were set by
    Results: The utilization of SRH services was 42.0% (162/386) among the study participants. Family planning, voluntary HIV counseling and testing (VCT), and general counseling services were the most utilized SRH services in the past 12 months. Young people who were aware of SRH services (AOR: 0.24; 95% CI: 0.08-0.74), were aware of a reproductive health facility (AOR, 4.24; 95% CI: 1.62-11.09), discussed SRH issues with peers/friends (AOR, 3.98; 95% CI: 1.53-10.33), had a sexual partner (AOR, 10.00; 95% CI: 4.05-24.69), had sexual intercourse (AOR, 4.59; 95% CI: 2.18-9.69), and had access to SRH services (AOR, 2.68; 95% CI: 1.12-6.40) were more likely to utilize SRH services compared to their counterparts.
    Conclusion: This study showed a low utilization of sexual and reproductive health services among youth in Lira city west, northern Uganda. Being aware of SRH services, awareness of reproductive health facilities, discussing SRH issues with peers, having sexual intercourse, having a sexual partner, and access to SRH services were independently associated with the utilization of SRH services. Therefore, there is a need to strengthen sustainable multisector approaches aimed at improving awareness and access to sexual and reproductive health services among the youth.
    MeSH term(s) Pregnancy ; Female ; Humans ; Adolescent ; Cross-Sectional Studies ; HIV Infections/epidemiology ; Uganda/epidemiology ; Reproductive Health Services ; Sexual Behavior ; Reproductive Health ; Surveys and Questionnaires ; Ethiopia
    Language English
    Publishing date 2023-05-18
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2698540-8
    ISSN 2314-6141 ; 2314-6133
    ISSN (online) 2314-6141
    ISSN 2314-6133
    DOI 10.1155/2023/9649792
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: A statistical look at the COVID-19 vaccine development and vaccine policies

    Catherine Apio / Kyulhee Han / Gyujin Heo / Taesung Park

    Frontiers in Public Health, Vol

    2022  Volume 10

    Abstract: The global outbreak of COVID-19 caused by the SARS-CoV-2 virus elicited immense global interest in the development and distribution of safe COVID-19 vaccines by various governments and researchers, capable of stopping the spread of COVID-19 disease. ... ...

    Abstract The global outbreak of COVID-19 caused by the SARS-CoV-2 virus elicited immense global interest in the development and distribution of safe COVID-19 vaccines by various governments and researchers, capable of stopping the spread of COVID-19 disease. After COVID-19 was declared a global pandemic, several vaccines have been developed for emergency use authorization. The accelerated development of the vaccines was attributed to many factors but mainly by capitalizing on years of research and technology development. Although several countries tried to develop COVID-19 vaccines only a few countries succeeded. Therefore, we applied statistical methods to find factors that have contributed to the fast development of COVID-19 vaccines. All 11 countries that developed vaccines were considered and chose other 24 countries for comparison purposes according to different criteria of their R&D. Fourteen R&D indicator variables that are a measure of the R&D for all countries [World Development Indicators (WDI)] were obtained from the World Bank DataBank and data on the COVID-19 vaccine R&D were obtained from The Knowledge Portal of the Graduate Institute Geneva and Global Health Center. The World Bank records WDI yearly, and 2019 was chosen because of a few missing values. Also, different vaccine policies were adopted by different countries during the COVID-19 vaccination period, producing different impacts of vaccinations on the population. So, we applied the generalized estimating equations (GEE) approach to find policies that contributed greatly to decreasing the spread of COVID-19 using data from the Oxford COVID-19 Government Response Tracker (OxCGRT) and age-specific vaccination data from the European Center for Disease and Prevention and Control. Logistic regression, two-sample t-test, and Wilcoxon rank-sum test found scientific and technical journals, liability, and COVID-19 Vaccine R&D Funding (investment in pharmaceutical industry US$) are significantly associated with fast COVID-19 vaccine ...
    Keywords vaccine development ; COVID-19 ; COVID-19 vaccine ; SARS-CoV-2 ; R&D ; vaccine policy ; Public aspects of medicine ; RA1-1270
    Subject code 306
    Language English
    Publishing date 2022-12-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article: Confidence intervals for the COVID-19 neutralizing antibody retention rate in the Korean population.

    Apio, Catherine / Kamruzzaman, Md / Park, Taesung

    Genomics & informatics

    2020  Volume 18, Issue 3, Page(s) e31

    Abstract: 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 ... ...

    Abstract 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.
    Keywords covid19
    Language English
    Publishing date 2020-09-23
    Publishing country Korea (South)
    Document type Journal Article
    ZDB-ID 2802682-2
    ISSN 2234-0742 ; 1598-866X
    ISSN (online) 2234-0742
    ISSN 1598-866X
    DOI 10.5808/GI.2020.18.3.e31
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Updated confidence intervals for the COVID-19 antibody retention rate in the Korean population.

    Kamruzzaman, Md / Apio, Catherine / Park, Taesung

    Genomics & informatics

    2020  Volume 18, Issue 4, Page(s) e45

    Abstract: With the ongoing rise of coronavirus disease 2019 (COVID-19) pandemic across the globe, interests in COVID-19 antibody testing, also known as a serology test has grown, as a way to measure how far the infection has spread in the population and to ... ...

    Abstract With the ongoing rise of coronavirus disease 2019 (COVID-19) pandemic across the globe, interests in COVID-19 antibody testing, also known as a serology test has grown, as a way to measure how far the infection has spread in the population and to identify individuals who may be immune. Recently, many countries reported their population based antibody titer study results. South Korea recently reported their third antibody formation rate, where it divided the study between the general population and the young male youths in their early twenties. As previously stated, these simple point estimates may be misinterpreted without proper estimation of standard error and confidence intervals. In this article, we provide an updated 95% confidence intervals for COVID-19 antibody formation rate for the Korean population using asymptotic, exact and Bayesian statistical estimation methods. As before, 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 November 23, 2020, at least 69,524 people were infected but not confirmed. It also shows that more positive cases were found among the young male in their twenties (0.22%), three times that of the general public (0.051%). This thereby calls for the quarantine authorities' need to strengthen quarantine managements for the early twenties in order to find the hidden infected people in the population.
    Language English
    Publishing date 2020-12-24
    Publishing country Korea (South)
    Document type Journal Article
    ZDB-ID 2802682-2
    ISSN 2234-0742 ; 1598-866X
    ISSN (online) 2234-0742
    ISSN 1598-866X
    DOI 10.5808/GI.2020.18.4.e45
    Database MEDical Literature Analysis and Retrieval System OnLINE

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