Journal of Preventive Medicine and Public Health

Epidemiological Model for Conventional Tobacco Control Measures and Tobacco Endgame Policies: Heewon Kang, Sung-il Cho; J Prev Med Public Health. 2023;56(5):481-484. Published online September 26, 2023; DOI: https://doi.org/10.3961/jpmph.23.239

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Abstract Summary PDF Supplementary Material

Epidemiological models, also known as host-agent-vector-environment models, are utilized in public health to gain insights into disease occurrence and to formulate intervention strategies. In this paper, we propose an epidemiological model that incorporates both conventional measures and tobacco endgame policies. Our model suggests that conventional measures focus on relationships among agent-vector-host-environment components, whereas endgame policies inherently aim to change or eliminate those components at a fundamental level. We also found that the vector (tobacco industry) and environment (physical and social surroundings) components were insufficiently researched or controlled by both conventional measures and tobacco endgame policies. The use of an epidemiological model for tobacco control and the tobacco endgame is recommended to identify areas that require greater effort and to develop effective intervention measures.

Summary

Korean summary
이 연구는 기존의 담배규제와 관련된 역학 모형을 확장하여 담배 수요를 줄이기 위한 조치인 MPOWER 정책과 담배 종결전의 주요 정책을 아우르는 개념적 모형을 제시하였다. 각 정책을 개념적 모형 내 배치한 결과, MPOWER 정책은 모형 내 구성요소 간의 연결을 끊는 것을 목표로 하는 반면, 종결전 정책은 모형 내 요소들을 영구적으로 변화시키거나 제거하려는 특성을 가지고 있는 것으로 나타났다. 담배규제정책이 개체, 병원체, 벡터 및 환경 요소에 대한 균형 잡힌 포트폴리오를 갖추고 있는지 평가하기 위해 이 개념적 모형을 활용할 수 있다.

Key Message
We extended the conceptual epidemiological model for tobacco control by incorporating measures to reduce the demand for tobacco (MPOWER measures) and key endgame policies. The model suggests that MPOWER measures focus on disconnecting the relationships between model components, while endgame policies aim to permanently change or eliminate the components themselves. This model can be used to examine whether a country or jurisdiction's tobacco control policy maintains a balanced portfolio across agent, host, vector, and environmental factors.

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Public support for tobacco endgame policies in South Korea: Findings from the 2020 International Tobacco Control Korea Survey
Heewon Kang, Wonjeong Yoon, Hong Gwan Seo, Sungkyu Lee, Sujin Lim, Gil-yong Kim, Su Young Kim, Steve S Xu, Mi Yan, Anne C K Quah, Janet Chung-Hall, Lorraine V Craig, Coral E Gartner, Geoffrey T Fong, Sung-il Cho
Tobacco Control.2024; : tc-2023-058454. CrossRef
Decrease in household secondhand smoking among South Korean adolescents associated with smoke-free policies: grade-period-cohort and interrupted time series analyses
Hana Kim, Heewon Kang, Sung-il Cho
Epidemiology and Health.2023; : e2024009. CrossRef

Utilization of the Unlinked Case Proportion to Control COVID-19: A Focus on the Non-pharmaceutical Interventional Policies of the Korea and Japan: Yeri Jeong, Sanggu Kang, Boeun Kim, Yong Jin Gil, Seung-sik Hwang, Sung-il Cho; J Prev Med Public Health. 2023;56(4):377-383. Published online June 21, 2023; DOI: https://doi.org/10.3961/jpmph.23.056

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Abstract Summary PDF Supplementary Material: Objectives
Korea and Japan have managed the spread of coronavirus disease 2019 (COVID-19) using markedly different policies, referred to as the “3T” and “3C” strategies, respectively. This study examined these differences to assess the roles of active testing and contact tracing as non-pharmaceutical interventions (NPIs). We compared the proportion of unlinked cases (UCs) and test positivity rate (TPR) as indicators of tracing and testing capacities.
Methods
We outlined the evolution of NPI policies and investigated temporal trends in their correlations with UCs, confirmed cases, and TPR prior to the Omicron peak. Spearman correlation coefficients were reported between the proportion of UCs, confirmed cases, and TPR. The Fisher r-to-z transformation was employed to examine the significance of differences between correlation coefficients.
Results
The proportion of UCs was significantly correlated with confirmed cases (r=0.995, p<0.001) and TPR (r=0.659, p<0.001) in Korea and with confirmed cases (r=0.437, p<0.001) and TPR (r=0.429, p<0.001) in Japan. The Fisher r-to-z test revealed significant differences in correlation coefficients between the proportion of UCs and confirmed cases (z=16.07, p<0.001) and between the proportion of UCs and TPR (z=2.12, p=0.034) in Korea and Japan.
Conclusions
Higher UCs were associated with increases in confirmed cases and TPR, indicating the importance of combining testing and contact tracing in controlling COVID-19. The implementation of stricter policies led to stronger correlations between these indicators. The proportion of UCs and TPR effectively indicated the effectiveness of NPIs. If the proportion of UCs shows an upward trend, more testing and contact tracing may be required.; Summary

Korean summary
“3T”전략과 “3C”전략으로 대표되는 한국과 일본의 코로나 19 유행 시기의 NPI 정책을 비교하고, 접촉자 추적 및 검사 역량의 지표로 감염경로를 알 수 없는 확진자(unlinked case)와 검사 양성률(TPR)의 역할을 평가하였다. 감염경로를 알 수 없는 확진자(UC)는 전체 확진자수 증가 및 검사 양성률의 증가와 관련이 있었으며, 이는 COVID-19 통제에 있어 검사와 접촉자 추적을 적절히 조합하는 것이 중요함을 보여준다.

Our Valuable Contributors: Reviewers of 2022: Sung-il Cho; J Prev Med Public Health. 2023;56(2):99-99. Published online March 31, 2023; DOI: https://doi.org/10.3961/jpmph.23.125

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Our Valuable Contributors: Reviewers of 2021: Sung-il Cho; J Prev Med Public Health. 2022;55(2):115-115. Published online March 31, 2022; DOI: https://doi.org/10.3961/jpmph.22.100

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Our Valuable Contributors: Reviewers of 2020: Sung-il Cho; J Prev Med Public Health. 2021;54(2):85-85. Published online March 31, 2021; DOI: https://doi.org/10.3961/jpmph.21.108

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Interpretation of the Basic and Effective Reproduction Number: Jun-Sik Lim, Sung-Il Cho, Sukhyun Ryu, Son-Il Pak; J Prev Med Public Health. 2020;53(6):405-408. Published online October 20, 2020; DOI: https://doi.org/10.3961/jpmph.20.288

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Abstract PDF

In epidemiology, the basic reproduction number (R0) is a term that describes the expected number of infections generated by 1 case in a susceptible population. At the beginning of the coronavirus disease 2019 (COVID-19) pandemic, R0 was frequently referenced by the public health community and the wider public. However, this metric is often misused or misinterpreted. Moreover, the complexity of the process of estimating R0 has caused difficulties for a substantial number of researchers. In this article, in order to increase the accessibility of this concept, we address several misconceptions related to the threshold characteristics of R0 and the effective reproduction number (Rt). Moreover, the appropriate interpretation of the metrics is discussed. R0 should be considered as a population-averaged value that pools the contact structure according to a stochastic transmission process. Furthermore, it is necessary to understand the unavoidable time lag for Rt due to the incubation period of the disease.

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The Evolving Policy Debate on Border Closure in Korea: Su JIn Kang, Jihyun Moon, Heewon Kang, Heekyoung Nam, Sangwoo Tak, Sung-Il Cho; J Prev Med Public Health. 2020;53(5):302-306. Published online September 11, 2020; DOI: https://doi.org/10.3961/jpmph.20.213

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Abstract PDF Supplementary Material

Objectives
In this paper, we aimed to investigate the evolving debate over border closure in Korea during the coronavirus disease 2019 (COVID-19) pandemic, to address the main themes associated with border closure, and to discuss the factors that need to be considered when making such decisions.
Methods
We collated and reviewed previously conducted review studies on border closures during infectious disease outbreaks to derive relevant themes and factors.
Results
According to our systematic review on border closures and travel restrictions, the effects of such containment efforts are limited. We suggest considering the following factors when determining whether to impose border closure measures: (1) disease characteristics, (2) timeliness of implementation, (3) transmission delay and the basic reproduction number, (4) globalization and pandemics, and (5) social and economic costs.
Conclusions
Our assessment indicates that the effects of border closures are at best temporary and limited. Alternative measures must be contemplated and implemented to suppress the spread of COVID-19 in particular and infectious diseases more broadly.

Summary

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A measure to estimate the risk of imported COVID-19 cases and its application for evaluating travel-related control measures
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Academic Community’s Efforts to Guide the Fight Against Coronavirus Disease 2019 (COVID-19) Epidemic in Korea: Sung-il Cho; J Prev Med Public Health. 2020;53(2):65-66. Published online March 31, 2020; DOI: https://doi.org/10.3961/jpmph.20.084

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Our Valuable Contributors: Reviewers of 2019: Sung-il Cho; J Prev Med Public Health. 2020;53(2):72-72. Published online March 31, 2020; DOI: https://doi.org/10.3961/jpmph.20.081

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Our Valuable Contributors: Reviewers of 2018: Sung-il Cho; J Prev Med Public Health. 2019;52(2):71-71. Published online March 29, 2019; DOI: https://doi.org/10.3961/jpmph.19.054

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Our Valuable Contributors: Reviewers of 2017: Sung-il Cho; J Prev Med Public Health. 2018;51(2):63-63. Published online March 30, 2018; DOI: https://doi.org/10.3961/jpmph.18.060

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Concordance in the Health Behaviors of Couples by Age: A Cross-sectional Study: Seungmin Jeong, Sung-Il Cho; J Prev Med Public Health. 2018;51(1):6-14. Published online November 27, 2017; DOI: https://doi.org/10.3961/jpmph.17.137

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Abstract PDF Supplementary Material

Objectives
To investigate concordance in the health behaviors of women and their partners according to age and to investigate whether there was a stronger correlation between the health behaviors of housewives and those of their partners than between the health behaviors of non-housewives and those of their partners.
Methods
We used data obtained from women participants in the 2015 Korea Community Health Survey who were living with their partners. The outcome variables were 4 health behaviors: smoking, drinking, eating salty food, and physical activity. The main independent variables were the partners’ corresponding health behaviors. We categorized age into 4 groups (19-29, 30-49, 50-64, and ≥ 65 years) and utilized multivariate logistic regression analysis, stratifying by age group. Another logistic regression analysis was stratified by whether the participant identified as a housewife.
Results
Data from 64 971 women older than 18 years of age were analyzed. Of the 4 health behaviors, the risk of smoking (adjusted odds ratio [aOR], 4.65; 95% confidence interval [CI], 3.93 to 5.49) was highest when the participant’s partner was also a smoker. Similar results were found for an inactive lifestyle (aOR, 2.56; 95% CI, 2.45 to 2.66), eating salty food (aOR, 2.48; 95% CI, 2.36 to 2.62); and excessive drinking (aOR, 1.89; 95% CI, 1.80 to 1.98). In comparison to non-housewives, housewives had higher odds of eating salty food.
Conclusions
The health behaviors of women were positively correlated with those of their partners. The magnitude of the concordance differed by age group.

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Our Valuable Contributors: Reviewers of 2016: Sung-il Cho; J Prev Med Public Health. 2017;50(2):67-67. Published online March 29, 2017; DOI: https://doi.org/10.3961/jpmph.17.003

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Our Valuable Contributors: Reviewers of 2015: Sung-il Cho; J Prev Med Public Health. 2016;49(2):79-79. Published online March 31, 2016; DOI: https://doi.org/10.3961/jpmph.15.033

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A New Measure for Assessing the Public Health Response to a Middle East Respiratory Syndrome Coronavirus Outbreak: Sung-il Cho; J Prev Med Public Health. 2015;48(6):277-279. Published online November 30, 2015; DOI: https://doi.org/10.3961/jpmph.15.069

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Abstract PDF

Contact monitoring is an essential component of the public health response to a Middle East respiratory syndrome coronavirus outbreak, and is required for an effective quarantine to contain the epidemic. The timeliness of a quarantine is associated with its effectiveness. This paper provides a conceptual framework to describe the process of contact monitoring, and proposes a new measure called the “timely quarantined proportion” as a tool to assess the adequacy of a public health response.

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