Osong Public Health and Research Perspectives

Original Articles

COVID-19 outbreak in a religious village community in Republic of Korea and risk factors for transmission: Jiae Shim, Eunju Lee, Eunyoung Kim, Yeonhwa Choi, Giseok Kang, Bryan Inho Kim; Osong Public Health Res Perspect. 2023;14(2):110-118. Published online April 5, 2023; DOI: https://doi.org/10.24171/j.phrp.2023.0002

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Graphical Abstract Abstract PDF: Objectives
This study aimed to assess the scale and transmission patterns of coronavirus disease 2019 (COVID-19) in a religious village community in South Korea, to determine the risk factors of transmission, and to evaluate vaccine effectiveness.
Methods
An epidemiological survey was conducted, and data were collected and analyzed from 602 villagers in the religious village community. Multivariate logistic regression analysis was used to identify the risk factors for COVID-19 transmission and to evaluate vaccine effectiveness.
Results
The outbreak attack rate was 72.1% (434/602). The attack rate was high among women in their 60s, the unemployed, residents living near religious facility (<500 m), and the unvaccinated. Age, the distance between religious facility and residences, and the absence of vaccination were identified as risk factors for transmission. Vaccine effectiveness was 49.0%, and the highest effectiveness was seen in the age group of 59 years or younger (65.8%).
Conclusion
This village community was isolated, with little communication with the outside world. However, the frequency of close contact between residents was relatively high, contributing to the spread of COVID-19 in the village even with relatively short exposure. Vaccination rates in the village community were also lower than those in the general public. Public health authorities should consider the potential impact of cultural factors, including religion, that could lead to the exponential spread of COVID-19 in closed village communities.

COVID-19 outbreak response at a nursing hospital in South Korea in the post-vaccination era, including an estimation of the effectiveness of the first shot of the Oxford-AstraZeneca COVID-19 vaccine (ChAdOx1-S): Chanhee Kim, Geon Kang, Sun Gu Kang, Heeyoung Lee; Osong Public Health Res Perspect. 2022;13(2):114-122. Published online April 26, 2022; DOI: https://doi.org/10.24171/j.phrp.2021.0262

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Objectives
We descriptively reviewed a coronavirus disease 2019 (COVID-19) outbreak at a nursing hospital in Gyeonggi Province (South Korea) and assessed the effectiveness of the first dose of the Oxford-AstraZeneca vaccine in a real-world population. Methods: The general process of the epidemiological investigation included a public health intervention. The relative risk (RR) of vaccinated and unvaccinated groups was calculated and compared to confirm the risk of severe acute respiratory syndrome coronavirus-2 (SARSCoV-2) infection, and vaccine effectiveness was evaluated based on the calculated RR. Results: The population at risk was confined to ward E among 8 wards of Hospital X, where the outbreak occurred. This population comprised 55 people, including 39 patients, 12 nurses, and 4 caregivers, and 19 cases were identified. The RR between the vaccinated and unvaccinated groups was 0.04, resulting in a vaccine effectiveness of 95.3%. The vaccination rate of the nonpatients in ward E was the lowest in the entire hospital, whereas the overall vaccination rate of the combined patient and non-patient groups in ward E was the third lowest. Conclusion: The first dose of the Oxford-AstraZeneca vaccine (ChAdOx1-S) was effective in preventing SARS-CoV-2 infection. To prevent COVID-19 outbreaks in medical facilities, it is important to prioritize the vaccination of healthcare providers.

Citations

Citations to this article as recorded by

COVID-19 Vaccination in Korea: Past, Present, and the Way Forward
Eliel Nham, Joon Young Song, Ji Yun Noh, Hee Jin Cheong, Woo Joo Kim
Journal of Korean Medical Science.2022;[Epub] CrossRef

Delays in the diagnosis and treatment of tuberculosis during the COVID-19 outbreak in the Republic of Korea in 2020: Jiyeon Yang, Yunhyung Kwon, Jaetae Kim, Yoojin Jang, Jiyeon Han, Daae Kim, Hyeran Jeong, Hyekyung Park, Eunhye Shim; Osong Public Health Res Perspect. 2021;12(5):293-303. Published online September 23, 2021; DOI: https://doi.org/10.24171/j.phrp.2021.0063

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Graphical Abstract Abstract PDF

Objectives
We investigated the impact of the coronavirus disease 2019 (COVID-19) pandemic on tuberculosis (TB) management in the Republic of Korea (ROK).
Methods
This retrospective cross-sectional study used nationwide ROK TB notification data (98,346 cases) from 2017 to 2020. The median time from the onset of TB symptoms to treatment initiation and the compliance rates with the required timing for notification and individual case investigations were measured and compared across periods and regions affected by the COVID-19 epidemic.
Results
TB diagnosis during the COVID-19 pandemic was delayed. The median time to TB treatment initiation (25 days) in 2020 increased by 3 days compared to that of the previous 3 years (22 days) (p<0.0001). In the outbreak in Seoul, Incheon, and Gyeonggi province during August, the time to TB diagnosis was 4 days longer than in the previous 3 years (p=0.0303). In the outbreak in Daegu and Gyeongbuk province from February to March 2020, the compliance rate with the required timing for individual case investigations was 2.2%p points lower than in other areas in 2020 (p=0.0148). For public health centers, the rate was 13%p lower than in other areas (80.3% vs. 93.3%, p=0.0003).
Conclusion
TB diagnoses during the COVID-19 pandemic in the ROK were delayed nationwide, especially for patients notified by public-private mix TB control hospitals. TB individual case investigations were delayed in regional COVID-19 outbreak areas (Daegu and Gyeongbuk province), especially in public health centers. Developing strategies to address this issue will be helpful for sustainable TB management during future outbreaks.

Citations

Citations to this article as recorded by

Tuberculosis: Republic of Korea, 2021
Jinsoo Min, Hyung Woo Kim, Ju Sang Kim
Tuberculosis and Respiratory Diseases.2023; 86(1): 67. CrossRef
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BMJ Open.2023; 13(3): e069642. CrossRef
Increased Healthcare Delays in Tuberculosis Patients During the First Wave of COVID-19 Pandemic in Korea: A Nationwide Cross-Sectional Study
Jinsoo Min, Yousang Ko, Hyung Woo Kim, Hyeon-Kyoung Koo, Jee Youn Oh, Yun-Jeong Jeong, Hyeon Hui Kang, Kwang Joo Park, Yong Il Hwang, Jin Woo Kim, Joong Hyun Ahn, Yangjin Jegal, Ji Young Kang, Sung-Soon Lee, Jae Seuk Park, Ju Sang Kim
Journal of Korean Medical Science.2022;[Epub] CrossRef
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Sun-Hong Kwon, Jin Hyun Nam, Hye-Lin Kim, Hae-Young Park, Jin-Won Kwon
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The Impact of the COVID-19 Pandemic on Tuberculosis Case Notification and Treatment Outcomes in Eswatini
Hloniphile Victory Masina, I-Feng Lin, Li-Yin Chien
International Journal of Public Health.2022;[Epub] CrossRef
Trends in incidences of newly notified tuberculosis in Jeju Province, Korea, 2017-2021
Jinhee Kim, Nam-Hun Kang, Jong-Myon Bae
Journal of Medicine and Life Science.2022; 19(3): 103. CrossRef

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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Abstract 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 9^th, 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.

Invited Original Article

Incubation Period of Ebola Hemorrhagic Virus Subtype Zaire: Martin Eichner, Scott F. Dowell, Nina Firese; Osong Public Health Res Perspect. 2011;2(1):3-7. Published online June 30, 2011; DOI: https://doi.org/10.1016/j.phrp.2011.04.001

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44 Citations

Abstract PDF

Objectives
Ebola hemorrhagic fever has killed over 1300 people, mostly in equatorial Africa. There is still uncertainty about the natural reservoir of the virus and about some of the factors involved in disease transmission. Until now, a maximum incubation period of 21 days has been assumed.
Methods
We analyzed data collected during the Ebola outbreak (subtype Zaire) in Kikwit, Democratic Republic of the Congo, in 1995 using maximum likelihood inference and assuming a log-normally distributed incubation period.
Results
The mean incubation period was estimated to be 12.7 days (standard deviation 4.31 days), indicating that about 4.1% of patients may have incubation periods longer than 21 days.
Conclusion
If the risk of new cases is to be reduced to 1% then 25 days should be used when investigating the source of an outbreak, when determining the duration of surveillance for contacts, and when declaring the end of an outbreak.

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