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Original Articles
Increased viral load in patients infected with severe acute respiratory syndrome coronavirus 2 Omicron variant in the Republic of Korea
Jeong-Min Kim, Dongju Kim, Nam-Joo Lee, Sang Hee Woo, Jaehee Lee, Hyeokjin Lee, Ae Kyung Park, Jeong-Ah Kim, Chae Young Lee, Il-Hwan Kim, Cheon Kwon Yoo, Eun-Jin Kim
Osong Public Health Res Perspect. 2023;14(4):272-278.   Published online July 27, 2023
DOI: https://doi.org/10.24171/j.phrp.2023.0024
  • 1,298 View
  • 108 Download
Graphical AbstractGraphical Abstract AbstractAbstract PDF
Objectives
Coronavirus disease 2019 (COVID-19) has been declared a global pandemic owing to the rapid spread of the causative agent, severe acute respiratory syndrome coronavirus 2. Its Delta and Omicron variants are more transmissible and pathogenic than other variants. Some debates have emerged on the mechanism of variants of concern. In the COVID-19 wave that began in December 2021, the Omicron variant, first reported in South Africa, became identifiable in most cases globally. The aim of this study was to provide data to inform effective responses to the transmission of the Omicron variant.
Methods
The Delta variant and the spike protein D614G mutant were compared with the Omicron variant. Viral loads from 5 days after symptom onset were compared using epidemiological data collected at the time of diagnosis.
Results
The Omicron variant exhibited a higher viral load than other variants, resulting in greater transmissibility within 5 days of symptom onset.
Conclusion
Future research should focus on vaccine efficacy against the Omicron variant and compare trends in disease severity associated with its high viral load.
Results of contact tracing for SARS-CoV-2 Omicron sub-lineages (BA.4, BA.5, BA.2.75) and the household secondary attack risk
Mi Yu, Sang-Eun Lee, Hye Young Lee, Hye-jin Kim, Yeong-Jun Song, Jian Jeong, Ae Kyung Park, Il-Hwan Kim, Eun-jin Kim, Young-Joon Park
Osong Public Health Res Perspect. 2023;14(3):173-179.   Published online June 22, 2023
DOI: https://doi.org/10.24171/j.phrp.2022.0285
  • 1,355 View
  • 58 Download
Graphical AbstractGraphical Abstract AbstractAbstract PDF
Objectives
This study aimed to assess the contact tracing outcomes of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron sub-lineages BA.4, BA.5, and BA.2.75 within Republic of Korea, and to generate foundational data for responding to future novel variants.
Methods
We conducted investigations and contact tracing for 79 confirmed BA.4 cases, 396 confirmed BA.5 cases, and 152 confirmed BA.2.75 cases. These cases were identified through random sampling of both domestically confirmed and imported cases, with the goal of evaluating the pattern of occurrence and transmissibility.
Results
We detected 79 instances of Omicron sub-lineage BA.4 across a span of 46 days, 396 instances of Omicron sub-lineage BA.5 in 46 days, and 152 instances of Omicron sub-lineage BA.2.75 over 62 days. One patient with severe illness was confirmed among the BA.5 cases; however, there were no reports of severe illness in the confirmed BA.4 and BA.2.75 cases. The secondary attack risk among household contacts were 19.6% for BA.4, 27.8% for BA.5, and 24.3% for BA.2.75. No statistically significant difference was found between the Omicron sub-lineages.
Conclusion
BA.2.75 did not demonstrate a higher tendency for transmissibility, disease severity, or secondary attack risk within households when compared to BA.4 and BA.5. We will continue to monitor major SARS-CoV-2 variants, and we plan to enhance the disease control and response systems.
Brief Report
Genomic Surveillance of SARS-CoV-2: Distribution of Clades in the Republic of Korea in 2020
Ae Kyung Park, Il-Hwan Kim, Junyoung Kim, Jeong-Min Kim, Heui Man Kim, Chae young Lee, Myung-Guk Han, Gi-Eun Rhie, Donghyok Kwon, Jeong-Gu Nam, Young-Joon Park, Jin Gwack, Nam-Joo Lee, SangHee Woo, Jin Sun No, Jaehee Lee, Jeemin Ha, JeeEun Rhee, Cheon-Kwon Yoo, Eun-Jin Kim
Osong Public Health Res Perspect. 2021;12(1):37-43.   Published online February 23, 2021
DOI: https://doi.org/10.24171/j.phrp.2021.12.1.06
  • 9,116 View
  • 223 Download
  • 21 Web of Science
  • 22 Crossref
AbstractAbstract PDF

Since a novel beta-coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was first reported in December 2019, there has been a rapid global spread of the virus. Genomic surveillance was conducted on samples isolated from infected individuals to monitor the spread of genetic variants of SARS-CoV-2 in Korea. The Korea Disease Control and Prevention Agency performed whole genome sequencing of SARS-CoV-2 in Korea for 1 year (January 2020 to January 2021). A total of 2,488 SARS-CoV-2 cases were sequenced (including 648 cases from abroad). Initially, the prevalent clades of SARS-CoV-2 were the S and V clades, however, by March 2020, GH clade was the most dominant. Only international travelers were identified as having G or GR clades, and since the first variant 501Y.V1 was identified (from a traveler from the United Kingdom on December 22nd, 2020), a total of 27 variants of 501Y.V1, 501Y.V2, and 484K.V2 have been classified (as of January 25th, 2021). The results in this study indicated that quarantining of travelers entering Korea successfully prevented dissemination of the SARS-CoV-2 variants in Korea.

Citations

Citations to this article as recorded by  
  • Increased viral load in patients infected with severe acute respiratory syndrome coronavirus 2 Omicron variant in the Republic of Korea
    Jeong-Min Kim, Dongju Kim, Nam-Joo Lee, Sang Hee Woo, Jaehee Lee, Hyeokjin Lee, Ae Kyung Park, Jeong-Ah Kim, Chae Young Lee, Il-Hwan Kim, Cheon Kwon Yoo, Eun-Jin Kim
    Osong Public Health and Research Perspectives.2023; 14(4): 272.     CrossRef
  • Rapid Emergence of the Omicron Variant of Severe Acute Respiratory Syndrome Coronavirus 2 in Korea
    Ae Kyung Park, Il-Hwan Kim, Chae Young Lee, Jeong-Ah Kim, Hyeokjin Lee, Heui Man Kim, Nam-Joo Lee, SangHee Woo, Jaehee Lee, JeeEun Rhee, Cheon-Kwon Yoo, Eun-Jin Kim
    Annals of Laboratory Medicine.2023; 43(2): 211.     CrossRef
  • A Seroprevalence Study on Residents in a Senior Care Facility with Breakthrough SARS-CoV-2 Omicron Infection
    Heui Man Kim, Eun Ju Lee, Sang Won O, Yong Jun Choi, Hyeokjin Lee, Sae Jin Oh, Jeong-Min Kim, Ae Kyung Park, Jeong-Ah Kim, Chae young Lee, Jong Mu Kim, Hanul Park, Young Joon Park, Jeong-Hee Yu, Eun-Young Kim, Hwa-Pyeong Ko, Eun-Jin Kim
    Viral Immunology.2023; 36(3): 203.     CrossRef
  • COVID-19 Cases and Deaths among Healthcare Personnel with the Progression of the Pandemic in Korea from March 2020 to February 2022
    Yeonju Kim, Sung-Chan Yang, Jinhwa Jang, Shin Young Park, Seong Sun Kim, Chansoo Kim, Donghyok Kwon, Sang-Won Lee
    Tropical Medicine and Infectious Disease.2023; 8(6): 308.     CrossRef
  • The COVID-19 pandemic and healthcare utilization in Iran: evidence from an interrupted time series analysis
    Monireh Mahmoodpour-Azari, Satar Rezaei, Nasim Badiee, Mohammad Hajizadeh, Ali Mohammadi, Ali Kazemi-Karyani, Shahin Soltani, Mehdi Khezeli
    Osong Public Health and Research Perspectives.2023; 14(3): 180.     CrossRef
  • Online Phylogenetics with matOptimize Produces Equivalent Trees and is Dramatically More Efficient for Large SARS-CoV-2 Phylogenies than de novo and Maximum-Likelihood Implementations
    Alexander M Kramer, Bryan Thornlow, Cheng Ye, Nicola De Maio, Jakob McBroome, Angie S Hinrichs, Robert Lanfear, Yatish Turakhia, Russell Corbett-Detig, Olivier Gascuel
    Systematic Biology.2023; 72(5): 1039.     CrossRef
  • Genomic epidemiology of SARS-CoV-2 variants in South Korea between January 2020 and February 2023
    Il-Hwan Kim, Jin Sun No, Jeong-Ah Kim, Ae Kyung Park, HyeokJin Lee, Jeong-Min Kim, Nam-Joo Lee, Chi-Kyeong Kim, Chae Young Lee, SangHee Woo, Jaehee Lee, JeeEun Rhee, Eun-Jin Kim
    Virology.2023; 587: 109869.     CrossRef
  • Genomic evidence of SARS‐CoV‐2 reinfection in the Republic of Korea
    Ae Kyung Park, Jee Eun Rhee, Il‐Hwan Kim, Heui Man Kim, Hyeokjin Lee, Jeong‐Ah Kim, Chae Young Lee, Nam‐Joo Lee, SangHee Woo, Jaehee Lee, Jin Sun No, Gi‐Eun Rhie, Seong Jin Wang, Sang‐Eun Lee, Young Joon Park, Gemma Park, Jung Yeon Kim, Jin Gwack, Cheon‐K
    Journal of Medical Virology.2022; 94(4): 1717.     CrossRef
  • SARS-CoV-2 B.1.619 and B.1.620 Lineages, South Korea, 2021
    Ae Kyung Park, Il-Hwan Kim, Heui Man Kim, Hyeokjin Lee, Nam-Joo Lee, Jeong-Ah Kim, SangHee Woo, Chae young Lee, Jaehee Lee, Sae Jin Oh, JeeEun Rhee, Cheon-Kwon Yoo, Eun-Jin Kim
    Emerging Infectious Diseases.2022; 28(2): 415.     CrossRef
  • Humoral and Cellular Responses to COVID-19 Vaccines in SARS-CoV-2 Infection-Naïve and -Recovered Korean Individuals
    Ji-Young Hwang, Yunhwa Kim, Kyung-Min Lee, Eun-Jeong Jang, Chang-Hoon Woo, Chang-Ui Hong, Seok-Tae Choi, Sivilay Xayaheuang, Jong-Geol Jang, June-Hong Ahn, Hosun Park
    Vaccines.2022; 10(2): 332.     CrossRef
  • Increase in Viral Load in Patients With SARS-CoV-2 Delta Variant Infection in the Republic of Korea
    Jeong-Min Kim, Jee Eun Rhee, Myeongsu Yoo, Heui Man Kim, Nam-Joo Lee, Sang Hee Woo, Hye-Jun Jo, Donghyok Kwon, Sangwon Lee, Cheon Kwon Yoo, Eun-Jin Kim
    Frontiers in Microbiology.2022;[Epub]     CrossRef
  • Molecular Dynamics Studies on the Structural Stability Prediction of SARS-CoV-2 Variants Including Multiple Mutants
    Kwang-Eun Choi, Jeong-Min Kim, Jee Eun Rhee, Ae Kyung Park, Eun-Jin Kim, Cheon Kwon Yoo, Nam Sook Kang
    International Journal of Molecular Sciences.2022; 23(9): 4956.     CrossRef
  • SARS-CoV-2 shedding dynamics and transmission in immunosuppressed patients
    Jee-Soo Lee, Ki Wook Yun, Hyeonju Jeong, Boram Kim, Man Jin Kim, Jae Hyeon Park, Ho Seob Shin, Hyeon Sae Oh, Hobin Sung, Myung Gi Song, Sung Im Cho, So Yeon Kim, Chang Kyung Kang, Pyoeng Gyun Choe, Wan Beom Park, Nam Joong Kim, Myoung-Don Oh, Eun Hwa Choi
    Virulence.2022; 13(1): 1242.     CrossRef
  • Immunological and Pathological Peculiarity of Severe Acute Respiratory Syndrome Coronavirus 2 Beta Variant
    Sunhee Lee, Gun Young Yoon, Su Jin Lee, Young-Chan Kwon, Hyun Woo Moon, Yu-Jin Kim, Haesoo Kim, Wooseong Lee, Gi Uk Jeong, Chonsaeng Kim, Kyun-Do Kim, Seong-Jun Kim, Dae-Gyun Ahn, Miguel Angel Martinez
    Microbiology Spectrum.2022;[Epub]     CrossRef
  • Clinical scoring system to predict viable viral shedding in patients with COVID-19
    Sung Woon Kang, Heedo Park, Ji Yeun Kim, Sunghee Park, So Yun Lim, Sohyun Lee, Joon-Yong Bae, Jeonghun Kim, Seongman Bae, Jiwon Jung, Min Jae Kim, Yong Pil Chong, Sang-Oh Lee, Sang-Ho Choi, Yang Soo Kim, Sung-Cheol Yun, Man-Seong Park, Sung-Han Kim
    Journal of Clinical Virology.2022; 157: 105319.     CrossRef
  • Model-informed COVID-19 exit strategy with projections of SARS-CoV-2 infections generated by variants in the Republic of Korea
    Sung-mok Jung, Kyungmin Huh, Munkhzul Radnaabaatar, Jaehun Jung
    BMC Public Health.2022;[Epub]     CrossRef
  • Comparative analysis of mutational hotspots in the spike protein of SARS-CoV-2 isolates from different geographic origins
    Sanghoo Lee, Mi-Kyeong Lee, Hyeongkyun Na, Jinwoo Ahn, Gayeon Hong, Youngkee Lee, Jimyeong Park, Yejin Kim, Yun-Tae Kim, Chang-Ki Kim, Hwan-Sub Lim, Kyoung-Ryul Lee
    Gene Reports.2021; 23: 101100.     CrossRef
  • Review of Current COVID-19 Diagnostics and Opportunities for Further Development
    Yan Mardian, Herman Kosasih, Muhammad Karyana, Aaron Neal, Chuen-Yen Lau
    Frontiers in Medicine.2021;[Epub]     CrossRef
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    Manish Raturi, Anuradha Kusum, Mansi Kala, Garima Mittal, Anita Sharma, Naveen Bansal
    Transfusion Clinique et Biologique.2021; 28(3): 300.     CrossRef
  • Molecular Dynamics Studies on the Structural Characteristics for the Stability Prediction of SARS-CoV-2
    Kwang-Eun Choi, Jeong-Min Kim, JeeEun Rhee, Ae Kyung Park, Eun-Jin Kim, Nam Sook Kang
    International Journal of Molecular Sciences.2021; 22(16): 8714.     CrossRef
  • Management following the first confirmed case of SARS-CoV-2 in a domestic cat associated with a massive outbreak in South Korea
    Taewon Han, Boyeong Ryu, Suyeon Lee, Yugyeong Song, Yoongje Jeong, Ilhwan Kim, Jeongmin Kim, Eunjin Kim, Wonjun Lee, Hyunju Lee, Haekyoung Hwang
    One Health.2021; 13: 100328.     CrossRef
  • Genomic epidemiology reveals the reduction of the introduction and spread of SARS-CoV-2 after implementing control strategies in Republic of Korea, 2020
    Jung-Hoon Kwon, Jeong-Min Kim, Dong-hun Lee, Ae Kyung Park, Il-Hwan Kim, Da-Won Kim, Ji-Yun Kim, Noori Lim, Kyeong-Yeon Cho, Heui Man Kim, Nam-Joo Lee, SangHee Woo, Chae Young Lee, Jin Sun No, Junyoung Kim, JeeEun Rhee, Myung-Guk Han, Gi-Eun Rhie, Cheon K
    Virus Evolution.2021;[Epub]     CrossRef
Article
Dietary Patterns and Osteoporosis Risk in Postmenopausal Korean Women
Seon-Joo Park, Seong-Eun Joo, Haesook Min, Jae Kyung Park, Yeonjung Kim, Sung Soo Kim, Younjhin Ahn
Osong Public Health Res Perspect. 2012;3(4):199-205.   Published online December 31, 2012
DOI: https://doi.org/10.1016/j.phrp.2012.10.005
  • 2,962 View
  • 18 Download
  • 28 Crossref
AbstractAbstract PDF
Objectives
The prevalence of osteoporosis and related fractures has increased rapidly in Korean women. Proper nutrition intake is associated with the prevention of osteoporosis. We analyzed the association between dietary patterns and the risk of osteoporosis during a 4-year follow-up in postmenopausal Korean women.
Methods
Postmenopausal women (n = 1,725) who participated in the Korean Genome and Epidemiology Study were enrolled. Food intake was assessed using a validated semiquantitative food frequency questionnaire, and a quantitative ultrasound device was used to measure the speed of sound at the radius and tibia.
Results
Three major dietary patterns were identified using factor analysis based on baseline intake data: traditional (high intake of rice, kimchi, and vegetables), dairy (high intake of milk, dairy products, and green tea), and western (high intake of sugar, fat, and bread). Multivariate Cox proportional hazards models were used to estimate relative risk for osteoporosis. An inverse association was detected between the dairy dietary pattern and the osteoporosis incidence [relative risk (RR): 0.63, 95% confidence interval (CI): 0.42–0.93, p-trend=0.055 in radius; RR: 0.56, 95% CI: 0.35–0.90, p-trend=0.048 in tibia]. Individuals in the highest quintile for the traditional dietary pattern (p-trend = 0.009 in tibia) and western dietary pattern (p-trend = 0.043 in radius) demonstrated a higher risk of osteoporosis incidence than those in the lowest quintile.
Conclusion
These results suggested that high consumption of milk, dairy products, and green tea may reduce the risk of osteoporosis in postmenopausal Korean women.

Citations

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PHRP : Osong Public Health and Research Perspectives