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Original Article
The first reported hepatitis E outbreak in a food manufacturing factory: Korea, 2022
Hansol Yeom, Soonryu Seo, Youngsil Yoon, Jaeeun Lee, Myung-Guk Han, Deog-Yong Lee, Sun-Whan Park, Song A Park, Sook-Hyang Jeong, Jin Gwack
Osong Public Health Res Perspect. 2023;14(1):15-22.   Published online February 22, 2023
DOI: https://doi.org/10.24171/j.phrp.2022.0305
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  • 158 Download
Graphical AbstractGraphical Abstract AbstractAbstract PDF
Objectives
On February 16, 2022, 12 cases of hepatitis E virus (HEV) infection were reported in a food manufacturing factory in Korea. The aim of this study was to identify additional cases and to determine the source of this HEV outbreak. Methods: This study was an in-depth investigation of 12 HEV immunoglobulin M (IgM)-positive cases and their demographic, clinical, and epidemiological characteristics. On-site specimens were collected from the environment and from humans, and a follow-up investigation was conducted 2 to 3 months after the outbreak. Results: Among 80 production workers in the factory, 12 (15.0%) had acute HEV infection, all of whom were asymptomatic. The follow-up investigation showed that 3 cases were HEV IgMpositive, while 6 were HEV IgG-positive. HEV genes were not detected in the HEV IgM-positive specimens. HEV genes were not detected in the food products or environmental specimens collected on-site. HEV was presumed to be the causative pathogen. However, it could not be confirmed that the source of infection was common consumption inside the factory. Conclusion: This was the first domestic case of an HEV infection outbreak in a food manufacturing factory in Korea. Our results provide information for the future control of outbreaks and for the preparation of measures to prevent domestic outbreaks of HEV infection.
Brief Reports
The laboratory test procedure to confirm rotavirus vaccine infection in severe complex immunodeficiency patients
Su-Jin Chae, Seung-Rye Cho, Wooyoung Choi, Myung-Guk Han, Deog-Yong Lee
Osong Public Health Res Perspect. 2021;12(4):269-273.   Published online August 13, 2021
DOI: https://doi.org/10.24171/j.phrp.2021.0079
  • 5,603 View
  • 102 Download
  • 1 Crossref
AbstractAbstract PDF
The rotavirus vaccine is a live vaccine, and there is a possibility of infection by the virus strain used in the vaccine. We investigated the process of determining whether an infection was caused by the vaccine strain in a severe complex immunodeficiency (SCID) patient with rotavirus infection. The patient was vaccinated with RotaTeq prior to being diagnosed with SCID. The testing process was conducted in the following order: confirming rotavirus infection, determining its genotype, and confirming the vaccine strain. Rotavirus infection was confirmed through enzyme immunoassay and VP6 gene detection. G1 and P[8] were identified by multiplex polymerase chain reaction for the genotype, and G3 was further identified using a single primer. By detecting the fingerprint gene (WC3) of RotaTeq, it was confirmed that the detected virus was the vaccine strain. Genotypes G1 and P[8] were identified, and the infection was suspected of having been caused by rotavirus G1P[8]. G1P[8] is the most commonly detected genotype worldwide and is not included in the recombinant strains used in vaccines. Therefore, the infection was confirmed to have been caused by the vaccine strain by analyzing the genetic relationship between VP4 and VP7. Rotavirus infection by the vaccine strain can be identified through genotyping and fingerprint gene detection. However, genetic linkage analysis will also help to identify vaccine strains.

Citations

Citations to this article as recorded by  
  • Enhanced numerical techniques for solving generalized rotavirus mathematical model via iterative method and ρ-Laplace transform
    Rishi Kumar Pandey, Kottakkaran Sooppy Nisar
    Partial Differential Equations in Applied Mathemat.2024; 12: 100963.     CrossRef
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
  • 10,361 View
  • 238 Download
  • 24 Web of Science
  • 25 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  
  • Replication kinetics and infectivity of SARS-CoV-2 Omicron variant sublineages recovered in the Republic of Korea
    Jeong-Min Kim, Dongju Kim, Jee Eun Rhee, Cheon Kwon Yoo, Eun-Jin Kim
    Osong Public Health and Research Perspectives.2024; 15(3): 260.     CrossRef
  • Genomic Analysis and Tracking of SARS‐CoV‐2 Variants in Gwangju, South Korea, From 2020 to 2022
    Yeong‐Un Lee, Kwangho Lee, Hongsu Lee, Jung Wook Park, Sun‐Ju Cho, Ji‐Su Park, Jeongeun Mun, Sujung Park, Cheong‐mi Lee, Juhye Lee, Jinjong Seo, Yonghwan Kim, Sun‐Hee Kim, Yoon‐Seok Chung
    Influenza and Other Respiratory Viruses.2024;[Epub]     CrossRef
  • Dynamics of SARS-CoV-2 variants during the XBB wave in the Republic of Korea
    Jin Sun No, Ji Yeong Noh, Chae Young Lee, Il-Hwan Kim, Jeong-Ah Kim, Yu Jeong Ahn, Hyeokjin Lee, Jeong-Min Kim, Nam-Joo Lee, Dong-Wook Lee, Jeong-Hoon Kwon, JeeEun Rhee, Eun-Jin Kim
    Virus Research.2024; 350: 199471.     CrossRef
  • 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
  • Locally harvested Covid-19 convalescent plasma could probably help combat the geographically determined SARS-CoV-2 viral variants
    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
Original Articles
2019 Tabletop Exercise for Laboratory Diagnosis and Analyses of Unknown Disease Outbreaks by the Korea Centers for Disease Control and Prevention
Il-Hwan Kim, Jun Hyeong Jang, Su-Kyoung Jo, Jin Sun No, Seung-Hee Seo, Jun-Young Kim, Sang-Oun Jung, Jeong-Min Kim, Sang-Eun Lee, Hye-Kyung Park, Eun-Jin Kim, Jun Ho Jeon, Myung-Min Choi, Boyeong Ryu, Yoon Suk Jang, Hwami Kim, Jin Lee, Seung-Hwan Shin, Hee Kyoung Kim, Eun-Kyoung Kim, Ye Eun Park, Cheon-Kwon Yoo, Sang-Won Lee, Myung-Guk Han, Gi-Eun Rhie, Byung Hak Kang
Osong Public Health Res Perspect. 2020;11(5):280-285.   Published online October 22, 2020
DOI: https://doi.org/10.24171/j.phrp.2020.11.5.03
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  • 125 Download
AbstractAbstract PDF
Objectives

The Korea Centers for Disease Control and Prevention has published “A Guideline for Unknown Disease Outbreaks (UDO).” The aim of this report was to introduce tabletop exercises (TTX) to prepare for UDO in the future.

Methods

The UDO Laboratory Analyses Task Force in Korea Centers for Disease Control and Prevention in April 2018, assigned unknown diseases into 5 syndromes, designed an algorithm for diagnosis, and made a panel list for diagnosis by exclusion. Using the guidelines and laboratory analyses for UDO, TTX were introduced.

Results

Since September 9th, 2018, the UDO Laboratory Analyses Task Force has been preparing TTX based on a scenario of an outbreak caused by a novel coronavirus. In December 2019, through TTX, individual missions, epidemiological investigations, sample treatments, diagnosis by exclusions, and next generation sequencing analysis were discussed, and a novel coronavirus was identified as the causal pathogen.

Conclusion

Guideline and laboratory analyses for UDO successfully applied in TTX. Conclusions drawn from TTX could be applied effectively in the analyses for the initial response to COVID-19, an ongoing epidemic of 2019 – 2020. Therefore, TTX should continuously be conducted for the response and preparation against UDO.

Genome-Wide Identification and Characterization of Point Mutations in the SARS-CoV-2 Genome
Jun-Sub Kim, Jun-Hyeong Jang, Jeong-Min Kim, Yoon-Seok Chung, Cheon-Kwon Yoo, Myung-Guk Han
Osong Public Health Res Perspect. 2020;11(3):101-111.   Published online May 14, 2020
DOI: https://doi.org/10.24171/j.phrp.2020.11.3.05
  • 16,709 View
  • 531 Download
  • 96 Web of Science
  • 68 Crossref
AbstractAbstract PDF
Objectives

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged in Wuhan, China, in December 2019 and has been rapidly spreading worldwide. Although the causal relationship among mutations and the features of SARS-CoV-2 such as rapid transmission, pathogenicity, and tropism, remains unclear, our results of genomic mutations in SARS-CoV-2 may help to interpret the interaction between genomic characterization in SARS-CoV-2 and infectivity with the host.

Methods

A total of 4,254 genomic sequences of SARS-CoV-2 were collected from the Global Initiative on Sharing all Influenza Data (GISAID). Multiple sequence alignment for phylogenetic analysis and comparative genomic approach for mutation analysis were conducted using Molecular Evolutionary Genetics Analysis (MEGA), and an in-house program based on Perl language, respectively.

Results

Phylogenetic analysis of SARS-CoV-2 strains indicated that there were 3 major clades including S, V, and G, and 2 subclades (G.1 and G.2). There were 767 types of synonymous and 1,352 types of non-synonymous mutation. ORF1a, ORF1b, S, and N genes were detected at high frequency, whereas ORF7b and E genes exhibited low frequency. In the receptor-binding domain (RBD) of the S gene, 11 non-synonymous mutations were observed in the region adjacent to the angiotensin converting enzyme 2 (ACE2) binding site.

Conclusion

It has been reported that the rapid infectivity and transmission of SARS-CoV-2 associated with host receptor affinity are derived from several mutations in its genes. Without these genetic mutations to enhance evolutionary adaptation, species recognition, host receptor affinity, and pathogenicity, it would not survive. It is expected that our results could provide an important clue in understanding the genomic characteristics of SARS-CoV-2.

Citations

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    Md. Jahirul Islam, Md. Siddik Alom, Md. Shahadat Hossain, Md Ackas Ali, Shaila Akter, Shafiqul Islam, M. Obayed Ullah, Mohammad A. Halim
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Detection and Isolation of SARS-CoV-2 in Serum, Urine, and Stool Specimens of COVID-19 Patients from the Republic of Korea
Jeong-Min Kim, Heui Man Kim, Eun Jung Lee, Hye Jun Jo, Youngsil Yoon, Nam-Joo Lee, Junseock Son, Ye-Ji Lee, Mi Seon Kim, Yong-Pyo Lee, Su-Jin Chae, Kye Ryeong Park, Seung-Rye Cho, Sehee Park, Su Jin Kim, Eunbyeol Wang, SangHee Woo, Aram Lim, Su-Jin Park, JunHyeong Jang, Yoon-Seok Chung, Bum Sik Chin, Jin-Soo Lee, Duko Lim, Myung-Guk Han, Cheon Kwon Yoo
Osong Public Health Res Perspect. 2020;11(3):112-117.   Published online May 8, 2020
DOI: https://doi.org/10.24171/j.phrp.2020.11.3.02
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AbstractAbstract PDF
Objectives

Coronavirus Disease-19 (COVID-19) is a respiratory infection characterized by the main symptoms of pneumonia and fever. It is caused by the novel coronavirus severe acute respiratory syndrome Coronavirus-2 (SARS-CoV-2), which is known to spread via respiratory droplets. We aimed to determine the rate and likelihood of SARS-CoV-2 transmission from COVID-19 patients through non-respiratory routes.

Methods

Serum, urine, and stool samples were collected from 74 hospitalized patients diagnosed with COVID-19 based on the detection of SARS-CoV-2 in respiratory samples. The SARS-CoV-2 RNA genome was extracted from each specimen and real-time reverse transcription polymerase chain reaction performed. CaCo-2 cells were inoculated with the specimens containing the SARS-COV-2 genome, and subcultured for virus isolation. After culturing, viral replication in the cell supernatant was assessed.

Results

Of the samples collected from 74 COVID-19 patients, SARS-CoV-2 was detected in 15 serum, urine, or stool samples. The virus detection rate in the serum, urine, and stool samples were 2.8% (9/323), 0.8% (2/247), and 10.1% (13/129), and the mean viral load was 1,210 ± 1,861, 79 ± 30, and 3,176 ± 7,208 copy/µL, respectively. However, the SARS-CoV-2 was not isolated by the culture method from the samples that tested positive for the SARS-CoV-2 gene.

Conclusion

While the virus remained detectable in the respiratory samples of COVID-19 patients for several days after hospitalization, its detection in the serum, urine, and stool samples was intermittent. Since the virus could not be isolated from the SARS-COV-2-positive samples, the risk of viral transmission via stool and urine is expected to be low.

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Identification of Coronavirus Isolated from a Patient in Korea with COVID-19
Jeong-Min Kim, Yoon-Seok Chung, Hye Jun Jo, Nam-Joo Lee, Mi Seon Kim, Sang Hee Woo, Sehee Park, Jee Woong Kim, Heui Man Kim, Myung-Guk Han
Osong Public Health Res Perspect. 2020;11(1):3-7.   Published online February 28, 2020
DOI: https://doi.org/10.24171/j.phrp.2020.11.1.02
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AbstractAbstract PDF
Objectives

Following reports of patients with unexplained pneumonia at the end of December 2019 in Wuhan, China, the causative agent was identified as coronavirus (SARS-CoV-2), and the 2019 novel coronavirus disease was named COVID-19 by the World Health Organization. Putative patients with COVID-19 have been identified in South Korea, and attempts have been made to isolate the pathogen from these patients.

Methods

Upper and lower respiratory tract secretion samples from putative patients with COVID-19 were inoculated onto cells to isolate the virus. Full genome sequencing and electron microscopy were used to identify the virus.

Results

The virus replicated in Vero cells and cytopathic effects were observed. Full genome sequencing showed that the virus genome exhibited sequence homology of more than 99.9% with SARS-CoV-2 which was isolated from patients from other countries, for instance China. Sequence homology of SARS-CoV-2 with SARS-CoV, and MERS-CoV was 77.5% and 50%, respectively. Coronavirus-specific morphology was observed by electron microscopy in virus-infected Vero cells.

Conclusion

SARS-CoV-2 was isolated from putative patients with unexplained pneumonia and intermittent coughing and fever. The isolated virus was named BetaCoV/Korea/KCDC03/2020.

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Brief Report
Comparison of the Epidemiological Aspects of Imported Dengue Cases between Korea and Japan, 2006–2010
Young Eui Jeong, Won-Chang Lee, Jung Eun Cho, Myung-Guk Han, Won-Ja Lee
Osong Public Health Res Perspect. 2016;7(1):71-74.   Published online February 28, 2016
DOI: https://doi.org/10.1016/j.phrp.2015.12.001
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AbstractAbstract PDF
To compare the epidemiological characteristics of dengue cases imported by travelers or immigration in both Korea and Japan, we determined dengue incidence and related risk factors. During 2006–2010, 367 and 589 imported dengue cases were reported in Korea and Japan, respectively. In Korea, the presumptive origins for the dengue infections were Southeast Asia (82.6%), Southern Asia (13.9%), Eastern Asia (1.1%), South America (0.3%), Central America (0.3%), Africa (0.3%), and other countries (1.6%). In Japan, the origins of the infections were Southeast Asia (69.8%), Southern Asia (20.0%), Eastern Asia (1.7%), South America (2.5%), Central America (1.2%), Africa (1.2%), Oceania (2.4%), and other countries (1.2%). In both countries, more dengue cases were reported for men than for women (p < 0.01), and those aged 20–30 years accounted for > 60% of the total cases. The frequency of imported cases in summer and autumn (∼70% of total cases) was similar in both countries. This study demonstrates that there is a similar pattern of imported dengue cases in Korea and Japan. Therefore, there is a risk of an autochthonous dengue outbreak in Korea, as indicated by the recent outbreak in Japan in 2014.

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