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Original Articles
Effect of Paxlovid in COVID-19 treatment during the periods of SARS-CoV-2 Omicron BA.5 and BN.1 subvariant dominance in the Republic of Korea: a retrospective cohort study
Dong-Hwi Kim, Min-Gyu Yoo, Na-Young Kim, So Young Choi, Minjeong Jang, Misuk An, Se-Jin Jeong, Jungyeon Kim
Osong Public Health Res Perspect. 2024;15(2):137-149.   Published online March 28, 2024
DOI: https://doi.org/10.24171/j.phrp.2023.0230
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  • 57 Download
Graphical AbstractGraphical Abstract AbstractAbstract PDF
Objectives
This study was conducted to assess the efficacy of nirmatrelvir/ritonavir treatment in patients with coronavirus disease 2019 (COVID-19), particularly those aged 60 years and older. Using real-world data, the period during which the BN.1 Omicron variant was dominant was compared to the period dominated by the BA.5 variant. Methods: In this retrospective cohort study, data were collected regarding 2,665,281 patients infected with severe acute respiratory syndrome coronavirus 2 between July 24, 2022, and March 31, 2023. Propensity score matching was utilized to match patients who received nirmatrelvir/ ritonavir in a 1:4 ratio between BN.1 and BA.5 variant groups. Multivariable logistic regression analysis was employed to assess the effects of nirmatrelvir/ritonavir within these groups. Results: Compared to the prior period, the efficacy of nirmatrelvir/ritonavir did not significantly differ during the interval of Omicron BN.1 variant dominance in the Republic of Korea. Among patients treated with nirmatrelvir/ritonavir, a significantly lower risk of mortality was observed in the BN.1 group (odds ratio [OR], 0.698; 95% confidence interval [CI], 0.557–0.875) compared to the BA.5 group. However, this treatment did not significantly reduce the risk of severe or critical illness, including death, for those in the BN.1 group (OR, 0.856; 95% CI, 0.728–1.007). Conclusion: Nirmatrelvir/ritonavir has maintained its effectiveness against COVID-19, even with the emergence of the BN.1 Omicron subvariant. Consequently, we strongly recommend the administration of nirmatrelvir/ritonavir to patients exhibiting COVID-19-related symptoms, irrespective of the dominant Omicron variant or their vaccination status, to mitigate disease severity and decrease the risk of mortality.
Risk factors for deaths associated with COVID-19 according to the cause of death classification in Republic of Korea
Na-Young Kim, Seong-Sun Kim, Hyun Ju Lee, Dong Hwi Kim, Boyeong Ryu, Eunjeong Shin, Donghyok Kwon
Osong Public Health Res Perspect. 2023;14(2):89-99.   Published online April 18, 2023
DOI: https://doi.org/10.24171/j.phrp.2022.0312
  • 2,058 View
  • 105 Download
Graphical AbstractGraphical Abstract AbstractAbstract PDF
Objectives
This study aimed to classify coronavirus disease 2019 (COVID-19)-related deaths according to whether COVID-19 was listed as the cause of death, and to investigate the differences in demographic characteristics and risk factors for COVID-19 death classifications.
Methods
A total of 5,625 deaths in South Korea among patients with confirmed COVID-19 from January 20, 2020 to December 31, 2021 were selected. Excluding false reports and unnatural deaths, 5,597 deaths were analyzed. Based on death report data, deaths were classified according to whether the cause of death was listed as COVID-19 (CD) or not (NCD). The epidemiological characteristics and causes of deaths were investigated using descriptive, univariate, and multivariate statistical analyses. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to analyze the risk factors.
Results
The case fatality ratio was 0.89% and increased with age. Additionally, 96.4% of the subjects had an underlying disease, and 53.4% died in winter. The proportion of NCDs was 9.3%, of whom 19.1% died at home and 39.0% were confirmed to have COVID-19 after death. Malignant neoplasms (102/416 vs. 637/4,442; OR, 1.71; 95% CI, 1.36−2.16; p<0.001) were significantly associated with NCD.
Conclusion
This is the first study to analyze risk factors by cause of death using COVID-19 death report data in South Korea. These results are expected to be used as evidence for establishing a death monitoring system that can collect timely information in a new infectious disease pandemic.
Brief Report
Early Intervention Reduces the Spread of COVID-19 in Long-Term Care Facilities in the Republic of Korea
Shin Young Park, Gawon Choi, Hyeyoung Lee, Na-young Kim, Seon-young Lee, Kyungnam Kim, Soyoung Shin, Eunsu Jang, YoungSin Moon, KwangHwan Oh, JaeRin Choi, Sangeun Lee, Young-Man Kim, Jieun Kim, Seonju Yi, Jin Gwack, Ok Park, Young Joon Park
Osong Public Health Res Perspect. 2020;11(4):259-264.   Published online August 31, 2020
DOI: https://doi.org/10.24171/j.phrp.2020.11.4.16
  • 7,611 View
  • 156 Download
  • 9 Web of Science
  • 12 Crossref
AbstractAbstract PDF

This study describes the epidemiological characteristics of coronavirus disease 2019 (COVID-19) based on reported cases from long-term care facilities. As of April 20th, 2020, 3 long-term care facilities in a metropolitan area of South Korea had reported cases of COVID-19. These facilities’ employees were presumed to be the sources of infection. There were 2 nursing hospitals that did not report any additional cases. One nursing home had a total of 25 cases, with an attack rate of 51.4% (95% CI 35.6–67.0), and a fatality rate of 38.9% (95% CI 20.3–61.4) among residents. The results from this study suggest that early detection and maintenance of infection control minimizes the risk of rapid transmission.

Citations

Citations to this article as recorded by  
  • Factors influencing long-term care facility performance during the COVID-19 pandemic: a scoping review
    Eric Nguemeleu Tchouaket, Katya Kruglova, Josiane Létourneau, Emilie Bélanger, Stephanie Robins, Maripier Jubinville, Fatima El-Mousawi, Shiyang Shen, Idrissa Beogo, Drissa Sia
    BMC Health Services Research.2024;[Epub]     CrossRef
  • Impact of the COVID-19 pandemic and corresponding control measures on long-term care facilities: a systematic review and meta-analysis
    Jun Zhang, Yushan Yu, Mirko Petrovic, Xiaomei Pei, Qing-Bao Tian, Lei Zhang, Wei-Hong Zhang
    Age and Ageing.2023;[Epub]     CrossRef
  • A scoping review of the impacts of COVID-19 physical distancing measures on vulnerable population groups
    Lili Li, Araz Taeihagh, Si Ying Tan
    Nature Communications.2023;[Epub]     CrossRef
  • Analysis of Concentrated COVID-19 Outbreaks in Elderly Facilities in Suita City, Osaka Prefecture, Japan
    Toshiyuki Shibata, Sawa Okano, Daisuke Onozuka, Etsuko Ohta, Satoshi Kutsuna
    International Journal of Environmental Research an.2023; 20(20): 6926.     CrossRef
  • Factors relating to intention of use non-face-to-face services among family caregivers of persons with dementia: A cross-sectional study
    Myonghwa Park, Jinju Kim, Jihye Jung, Seonhwa Kim, Jinhee Lee, Dongyoung Lee
    Journal of Korean Gerontological Nursing.2023; 25(4): 377.     CrossRef
  • Staffing Levels and COVID-19 Infections and Deaths in Korean Nursing Homes
    Jiyeon Lee, Juh Hyun Shin, Kyeong Hun Lee, Charlene A. Harrington, Sun Ok Jung
    Policy, Politics, & Nursing Practice.2022; 23(1): 15.     CrossRef
  • An Experience of the Early Stage of COVID-19 Outbreak in Nursing Homes in Gyeonggi Province, Korea
    Gawon Choi, Na-young Kim, Seon-young Lee, Hae Deun Noh, Heeyoung Lee
    Korean Journal of Clinical Geriatrics.2022; 23(1): 27.     CrossRef
  • The implications of the COVID-19 pandemic for long term care facilities
    Muh-Yong Yen, Jonathan Schwartz, Po-Ren Hsueh
    Current Opinion in Infectious Diseases.2022; 35(4): 370.     CrossRef
  • Health impact of the first and second wave of COVID-19 and related restrictive measures among nursing home residents: a scoping review
    Marjolein E. A. Verbiest, Annerieke Stoop, Aukelien Scheffelaar, Meriam M. Janssen, Leonieke C. van Boekel, Katrien G. Luijkx
    BMC Health Services Research.2022;[Epub]     CrossRef
  • Epidemiology and clinical features of COVID-19 outbreaks in aged care facilities: A systematic review and meta-analysis
    Mohammad Rashidul Hashan, Nicolas Smoll, Catherine King, Hannah Ockenden-Muldoon, Jacina Walker, Andre Wattiaux, Julieanne Graham, Robert Booy, Gulam Khandaker
    EClinicalMedicine.2021; 33: 100771.     CrossRef
  • Protecting Nursing Homes and Long-Term Care Facilities From COVID-19: A Rapid Review of International Evidence
    Sally Hall Dykgraaf, Sethunya Matenge, Jane Desborough, Elizabeth Sturgiss, Garang Dut, Leslee Roberts, Alison McMillan, Michael Kidd
    Journal of the American Medical Directors Associat.2021; 22(10): 1969.     CrossRef
  • Dementia Risk among Coronavirus Disease Survivors: A Nationwide Cohort Study in South Korea
    Hye-Yoon Park, In-Ae Song, Tak-Kyu Oh
    Journal of Personalized Medicine.2021; 11(10): 1015.     CrossRef
Original Articles
The Recency Period for Estimation of Human Immunodeficiency Virus Incidence by the AxSYM Avidity Assay and BED-Capture Enzyme Immunoassay in the Republic of Korea
Hye-Kyung Yu, Tae-Young Heo, Na-Young Kim, Jin-Sook Wang, Jae-Kyeong Lee, Sung Soon Kim, Mee-Kyung Kee
Osong Public Health Res Perspect. 2014;5(4):187-192.   Published online August 31, 2014
DOI: https://doi.org/10.1016/j.phrp.2014.06.002
  • 3,360 View
  • 23 Download
  • 1 Crossref
AbstractAbstract PDF
Objectives
Measurement of the incidence of the human immunodeficiency virus (HIV) is very important for epidemiological studies. Here, we determined the recency period with the AxSYM avidity assay and the BED-capture enzyme immunoassay (BED-CEIA) in Korean seroconverters.
Methods
Two hundred longitudinal specimens from 81 seroconverters with incident HIV infections that had been collected at the Korea National Institute of Health were subjected to the AxSYM avidity assay (cutoff = 0.8) and BED-CEIA (cutoff = 0.8). The statistical method used to estimate the recency period in recent HIV infections was nonparametric survival analyses. Sensitivity and specificity were calculated for 10-day increments from 120 days to 230 days to determine the recency period.
Results
The mean recency period of the avidity assay and BED-CEIA using a survival method was 158 days [95% confidence interval (CI), 135–181 days] and 189 days (95% CI, 170–208 days), respectively. Based on the use of sensitivity and specificity, the mean recency period for the avidity assay and BED-CEIA was 150 days and 200 days, respectively.
Conclusion
We determined the recency period to estimate HIV incidence in Korea. These data showed that the nonparametric survival analysis often led to shorter recency periods than analysis of sensitivity and specificity as a new method. These findings suggest that more data from seroconverters and other methodologies are needed to determine the recency period for estimating HIV incidence.

Citations

Citations to this article as recorded by  
  • Western Blot-Based Logistic Regression Model for the Identification of Recent HIV-1 Infection: A Promising HIV-1 Surveillance Approach for Resource-Limited Regions
    Jiegang Huang, Minlian Wang, Chunyuan Huang, Bingyu Liang, Junjun Jiang, Chuanyi Ning, Ning Zang, Hui Chen, Jie Liu, Rongfeng Chen, Yanyan Liao, Li Ye, Hao Liang
    BioMed Research International.2018; 2018: 1.     CrossRef
Forecasting the Number of Human Immunodeficiency Virus Infections in the Korean Population Using the Autoregressive Integrated Moving Average Model
Hye-Kyung Yu, Na-Young Kim, Sung Soon Kim, Chaeshin Chu, Mee-Kyung Kee
Osong Public Health Res Perspect. 2013;4(6):358-362.   Published online December 31, 2013
DOI: https://doi.org/10.1016/j.phrp.2013.10.009
  • 3,399 View
  • 21 Download
  • 24 Crossref
AbstractAbstract PDF
Objectives
From the introduction of HIV into the Republic of Korea in 1985 through 2012, 9,410 HIV-infected Koreans have been identified. Since 2000, there has been a sharp increase in newly diagnosed HIV-infected Koreans. It is necessary to estimate the changes in HIV infection to plan budgets and to modify HIV/AIDS prevention policy. We constructed autoregressive integrated moving average (ARIMA) models to forecast the number of HIV infections from 2013 to 2017.
Methods
HIV infection data from 1985 to 2012 were used to fit ARIMA models. Akaike Information Criterion and Schwartz Bayesian Criterion statistics were used to evaluate the constructed models. Estimation was via the maximum likelihood method. To assess the validity of the proposed models, the mean absolute percentage error (MAPE) between the number of observed and fitted HIV infections from 1985 to 2012 was calculated. Finally, the fitted ARIMA models were used to forecast the number of HIV infections from 2013 to 2017.
Results
The fitted number of HIV infections was calculated by optimum ARIMA (2,2,1) model from 1985–2012. The fitted number was similar to the observed number of HIV infections, with a MAPE of 13.7%. The forecasted number of new HIV infections in 2013 was 962 (95% confidence interval (CI): 889–1,036) and in 2017 was 1,111 (95% CI: 805–1,418). The forecasted cumulative number of HIV infections in 2013 was 10,372 (95% CI: 10,308–10,437) and in 2017 was14,724 (95% CI: 13,893–15,555) by ARIMA (1,2,3).
Conclusion
Based on the forecast of the number of newly diagnosed HIV infections and the current cumulative number of HIV infections, the cumulative number of HIV-infected Koreans in 2017 would reach about 15,000.

Citations

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    Ahed Abugabah, Farah Shahid
    Mathematics.2023; 11(4): 1051.     CrossRef
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    Kamilla Mussina, Shirali Kadyrov, Ardak Kashkynbayev, Sauran Yerdessov, Gulnur Zhakhina, Yesbolat Sakko, Amin Zollanvari, Abduzhappar Gaipov
    HIV/AIDS - Research and Palliative Care.2023; Volume 15: 387.     CrossRef
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    Siti Wardah, Nunung Nurhasanah, Wiwik Sudarwati
    Jurnal Sistem dan Manajemen Industri.2023; 7(2): 127.     CrossRef
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    Ammar H. Elsheikh, Amal I. Saba, Mohamed Abd Elaziz, Songfeng Lu, S. Shanmugan, T. Muthuramalingam, Ravinder Kumar, Ahmed O. Mosleh, F.A. Essa, Taher A. Shehabeldeen
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Article
Immune Status and Epidemiological Characteristics of Human Immunodeficiency Virus Seroconverters in Korea, 1999–2009
Jin-Sook Wang, Na-young Kim, Hyo Jung Sim, Byeong-Sun Choi, Mee-Kyung Kee
Osong Public Health Res Perspect. 2012;3(4):245-249.   Published online December 31, 2012
DOI: https://doi.org/10.1016/j.phrp.2012.11.001
  • 3,360 View
  • 26 Download
  • 3 Crossref
AbstractAbstract PDF
Objectives
The detection of HIV seroconverters increased annually since HIV antigen/antibody testing kits have been available widely in South Korea. This study aimed to identify the epidemiological characteristics of HIV seroconverters and their immune level at HIV diagnosis.
Method
We analyzed the epidemiological and immunological characteristics of 341 HIV seroconverters among 6,008 HIV-diagnosed individuals from 1999 and 2009. The analysis of immune level and epidemiological factors of HIV seroconverters was conducted by using chi-square test on SAS version 9.1.
Results
The seroconverters among newly-identified HIV cases each year increased from 0.5% in 1999 to over 5% or in 2009. The sex ratio of seroconverters was 18:1 (male:female), and 33% were in their 30s, and 28% were in their 20s. Reasons for HIV testing were involvement in voluntary test due to risky behaviors (43%), and health check-up (36%). Discovery of HIV infection occurred primarily in hospitals (84%). Among seroconverters, 55 percent had a CD4 T-cell count of more than 350/μl.
Conclusion
Korean HIV seroconverters tended to be younger at diagnosis, diagnosed during a voluntary test, and their CD4+ T-cell counts at HIV diagnosis were higher than those of non-seroconverters aall HIV-infected individuals. This study of HIV seroconverters will be important foundational in future studies on HIV incidence, disease progress, and survival rate.

Citations

Citations to this article as recorded by  
  • Characteristics of recent HIV infection among individuals newly diagnosed as HIV-positive in South Korea (2008–2015)
    Myeongsu Yoo, Jin-Sook Wang, Su-Jin Park, Jeong-ok Cha, Yoonhee Jung, Yoon-Seok Chung, Myung Guk Han, Byeong-Sun Choi, Sung-Soon Kim, Mee-Kyung Kee
    Scientific Reports.2022;[Epub]     CrossRef
  • Evaluation of the Bio-Rad Geenius HIV 1/2 Confirmation Assay as an Alternative to Western Blot in the Korean Population: A Multi-Center Study
    Hee-Won Moon, Hee Jin Huh, Gwi Young Oh, Sang Gon Lee, Anna Lee, Yeo-Min Yun, Mina Hur, Herman Tse
    PLOS ONE.2015; 10(9): e0139169.     CrossRef
  • Interferon-inducible protein 10 (IP-10) is associated with viremia of early HIV-1 infection in Korean patients
    SoYong Lee, Yoon-Seok Chung, Cheol-Hee Yoon, YoungHyun Shin, SeungHyun Kim, Byeong-Sun Choi, Sung Soon Kim
    Journal of Medical Virology.2015; 87(5): 782.     CrossRef

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