Skip Navigation
Skip to contents

PHRP : Osong Public Health and Research Perspectives

OPEN ACCESS
SEARCH
Search

Author index

Page Path
HOME > Articles and issues > Author index
Search
Young Joon Park 3 Articles
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
  • 4,466 View
  • 132 Download
  • 7 Citations
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  
  • 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
Development and Utilization of a Rapid and Accurate Epidemic Investigation Support System for COVID-19
Young Joon Park, Sang Yun Cho, Jin Lee, Ikjin Lee, Won-Ho Park, Seungmyeong Jeong, Seongyun Kim, Seokjun Lee, Jaeho Kim, Ok Park
Osong Public Health Res Perspect. 2020;11(3):118-127.   Published online May 20, 2020
DOI: https://doi.org/10.24171/j.phrp.2020.11.3.06
  • 9,492 View
  • 278 Download
  • 14 Citations
AbstractAbstract PDF
Objectives

In this pandemic situation caused by a novel coronavirus disease in 2019 (COVID-19), an electronic support system that can rapidly and accurately perform epidemic investigations, is needed. It would systematically secure and analyze patients’ data (who have been confirmed to have the infection), location information, and credit card usage.

Methods

The “Infectious Disease Prevention and Control Act” in South Korea, established a legal basis for the securement, handling procedure, and disclosure of information required for epidemic investigations. The Epidemic Investigation Support System (EISS) was developed as an application platform on the Smart City data platform.

Results

The EISS performed the function of inter-institutional communication which reduced the processing period of patients’ data in comparison to other methods. This system automatically marked confirmed cases’ tracking data on a map and hot-spot analysis which lead to the prediction of areas where people may be vulnerable to infection.

Conclusion

The EISS was designed and implemented for use during an epidemic investigation to prevent the spread of an infectious disease, by specifically tracking confirmed cases of infection.

Citations

Citations to this article as recorded by  
  • A scalable framework for smart COVID surveillance in the workplace using Deep Neural Networks and cloud computing
    Ajay Singh, Vaibhav Jindal, Rajinder Sandhu, Victor Chang
    Expert Systems.2022;[Epub]     CrossRef
  • COVID-19 Cluster Linked to Aerosol Transmission of SARS-CoV-2 via Floor Drains
    Taewon Han, Heedo Park, Yungje Jeong, Jungmin Lee, Eungyeong Shon, Man-Seong Park, Minki Sung
    The Journal of Infectious Diseases.2022; 225(9): 1554.     CrossRef
  • Public health in times of crisis: An overlooked variable in city management theories?
    Celso Machado, Daielly Melina Nassif Mantovani Ribeiro, Adriana Backx Noronha Viana
    Sustainable Cities and Society.2021; 66: 102671.     CrossRef
  • Re-estimation of basic reproduction number of COVID-19 based on the epidemic curve by symptom onset date
    K. Hong, S. J. Yum, J. H. Kim, B. C. Chun
    Epidemiology and Infection.2021;[Epub]     CrossRef
  • Benefits of Mobile Contact Tracing on COVID-19: Tracing Capacity Perspectives
    Uichin Lee, Auk Kim
    Frontiers in Public Health.2021;[Epub]     CrossRef
  • Two-Way Contact Network Modeling for Identifying the Route of COVID-19 Community Transmission
    Sung Jin Lee, Sang Eun Lee, Ji-On Kim, Gi Bum Kim
    Informatics.2021; 8(2): 22.     CrossRef
  • State of the Art in Adoption of Contact Tracing Apps and Recommendations Regarding Privacy Protection and Public Health: Systematic Review
    Katarzyna Kolasa, Francesca Mazzi, Ewa Leszczuk-Czubkowska, Zsombor Zrubka, Márta Péntek
    JMIR mHealth and uHealth.2021; 9(6): e23250.     CrossRef
  • Riding the waves of the COVID-19 pandemic in South Korea
    Joseph Christian Obnial, Maria Beatriz Baron, Hannah Andrea Sagsagat, Erika Ong, Ma. Alexandra Nicola Valenzuela, Don Eliseo Lucero-Prisno III
    Journal of Primary Health Care.2021; 13(2): 116.     CrossRef
  • Contributions of Smart City Solutions and Technologies to Resilience against the COVID-19 Pandemic: A Literature Review
    Ayyoob Sharifi, Amir Reza Khavarian-Garmsir, Rama Krishna Reddy Kummitha
    Sustainability.2021; 13(14): 8018.     CrossRef
  • Harnessing the Power of Smart and Connected Health to Tackle COVID-19: IoT, AI, Robotics, and Blockchain for a Better World
    Farshad Firouzi, Bahar Farahani, Mahmoud Daneshmand, Kathy Grise, Jaeseung Song, Roberto Saracco, Lucy Lu Wang, Kyle Lo, Plamen Angelov, Eduardo Soares, Po-Shen Loh, Zeynab Talebpour, Reza Moradi, Mohsen Goodarzi, Haleh Ashraf, Mohammad Talebpour, Alireza
    IEEE Internet of Things Journal.2021; 8(16): 12826.     CrossRef
  • CASE-CF: Context Aware Smart Epidemic Control Framework
    Harsuminder Kaur Gill, Vivek Kumar Sehgal, Anil Kumar Verma
    New Generation Computing.2021; 39(3-4): 541.     CrossRef
  • Resolving the tension between full utilization of contact tracing app services and user stress as an effort to control the COVID-19 pandemic
    Jaehun Joo, Matthew Minsuk Shin
    Service Business.2020; 14(4): 461.     CrossRef
  • National Disaster Management System: COVID-19 Case in Korea
    Junic Kim, Kelly Ashihara
    International Journal of Environmental Research an.2020; 17(18): 6691.     CrossRef
  • Evidence of Long-Distance Droplet Transmission of SARS-CoV-2 by Direct Air Flow in a Restaurant in Korea
    Keun-Sang Kwon, Jung-Im Park, Young Joon Park, Don-Myung Jung, Ki-Wahn Ryu, Ju-Hyung Lee
    Journal of Korean Medical Science.2020;[Epub]     CrossRef
mRNA vaccine effectiveness against SARS-CoV-2 B.1.617.2 (Delta) and B.1.1.529 (Omicron) variant transmission from home care cases to household contacts in South Korea
Hanul Park, Young Joon Park, Sang Eun Lee, Min Jei Lee, Hyungtae Ahn
Received September 1, 2022  Accepted November 1, 2022  Published online November 28, 2022  
DOI: https://doi.org/10.24171/j.phrp.2022.0243    [Epub ahead of print]
  • 552 View
  • 37 Download
AbstractAbstract PDF
Objectives
Household contacts of confirmed cases of coronavirus disease 2019 (COVID-19) are exposed to a high risk of viral transmission, and secondary incidence is an important indicator of community transmission. This study analyzed the secondary attack rate and mRNA vaccine effectiveness against transmission (VET) for index cases (patients treated at home) confirmed to be infected with the Delta and Omicron variants.
Methods
The subjects of the study were 4,450 index cases and 10,382 household contacts. Logistic regression analysis was performed to compare the secondary attack rate by vaccination status, and adjusted relative risk and 95% confidence intervals were identified.
Results
The secondary attack rate of the Delta variant was 27.3%, while the secondary attack rate of the Omicron variant was 29.8%. For the Delta variant, groups with less than 90 days and more than 90 days after 2 doses of mRNA vaccination both showed a VET of 37%. For the Omicron variant, a 64% VET was found among those with less than 90 days after 2 doses of mRNA vaccination.
Conclusion
This study provides useful data on the secondary attack rate and VET of mRNA vaccines for household contacts of COVID-19 cases in South Korea.

PHRP : Osong Public Health and Research Perspectives