Journal of Preventive Medicine and Public Health

Original Article

A Comparison of Green, Delta, and Monte Carlo Methods to Select an Optimal Approach for Calculating the 95% Confidence Interval of the Population-attributable Fraction: Guidance for Epidemiological Research: Sangjun Lee, Sungji Moon, Kyungsik Kim, Soseul Sung, Youjin Hong, Woojin Lim, Sue K. Park; J Prev Med Public Health. 2024;57(5):499-507. Published online September 6, 2024; DOI: https://doi.org/10.3961/jpmph.24.272

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Abstract PDF: Objectives
This study aimed to compare the Delta, Greenland, and Monte Carlo methods for estimating 95% confidence intervals (CIs) of the population-attributable fraction (PAF). The objectives were to identify the optimal method and to determine the influence of primary parameters on PAF calculations.
Methods
A dataset was simulated using hypothetical values for primary parameters (population, relative risk [RR], prevalence, and variance of the beta estimator ) involved in PAF calculations. Three methods (Delta, Greenland, and Monte Carlo) were used to estimate the 95% CIs of the PAFs. Perturbation analysis was performed to assess the sensitivity of the PAF to changes in these parameters. An R Shiny application, the “GDM-PAF CI Explorer,” was developed to facilitate the analysis and visualization of these computations.
Results
No significant differences were observed among the 3 methods when both the RR and p-value were low. The Delta method performed well under conditions of low prevalence or minimal RR, while Greenland’s method was effective in scenarios with high prevalence. Meanwhile, the Monte Carlo method calculated 95% CIs of PAFs that were stable overall, though it required intensive computational resources. In a novel approach that utilized perturbation for sensitivity analysis, was identified as the most influential parameter in the estimation of CIs.
Conclusions
This study emphasizes the necessity of a careful approach for comparing 95% CI estimation methods for PAFs and selecting the method that best suits the context. It provides practical guidelines to researchers to increase the reliability and accuracy of epidemiological studies.; Summary

Scoping Review

Assessment of Epidemiological Data and Surveillance in Korea Substance Use Research: Insights and Future Directions: Meekang Sung, Vaughan W. Rees, Hannah Lee, Mohammad S. Jalali; J Prev Med Public Health. 2024;57(4):307-318. Published online June 24, 2024; DOI: https://doi.org/10.3961/jpmph.24.171

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Abstract Summary PDF Supplementary Material: Objectives
Effective data collection and surveillance of epidemiological trends are essential in confronting the growing challenges associated with substance use (SU), especially in light of emerging trends and underreporting of cases. However, research and data are scarce regarding SU and substance use disorder (SUD) in Korea.
Methods
We conducted a scoping review to identify data sources and surveillance methods used in SU research in Korea up to December 2023. This review was complemented by semi-structured consultations with experts in this area in Korea, whose feedback led to revisions of previously identified data sources and assessments.
Results
Our review identified 32 publications conducting secondary analyses on existing data to examine the epidemiology of SU and SUD in Korea. Of these, 14 studies utilized clinical databases to explore the prescription patterns of addictive substances, particularly opioids. Eleven data sources showed promise for advancing SU research; however, they face substantial limitations, including a lack of available data, missing data, the absence of key variables, the exclusion of marginalized populations not captured within the clinical system, and complexities in matching individual-level data across time points and datasets.
Conclusions
Current surveillance methods for SU in Korea face considerable challenges in accessibility, usability, and standardization. Moreover, existing data repositories may fail to capture information on populations not served by clinical or judicial systems. To systematically improve surveillance approaches, it is necessary to develop a robust and nationally representative survey, refine the use of existing clinical data, and ensure the availability of data on treatment facilities.; Summary

Key Message
- A scoping review identified eleven promising data sources for substance use research in Korea but noted substantial challenges in current surveillance methods, particularly regarding accessibility, usability, and standardization.
- Existing data repositories often miss information on marginalized populations not served by clinical or judicial systems, and suffer from data gaps, missing key variables, and complexities in matching individual-level data over time.
- To address these issues, developing a robust, nationally representative survey, refining the use of existing clinical data, and ensuring data availability from treatment facilities are essential.

Original Articles

Epidemiology of Suicide by Hanging in Fars Province, Iran (2011-2019): A Population-based Cross-sectional Study: Leila Moftakhar, Alireza Mirahmadizadeh, Sanaz Amiri, Fariba Rezaei, Habibollah Azarbakhsh; J Prev Med Public Health. 2023;56(3):264-271. Published online April 20, 2023; DOI: https://doi.org/10.3961/jpmph.22.519

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Abstract PDF

Objectives
Hanging is a common method of attempted suicide. This study investigated the epidemiological profile of attempted and completed suicides by hanging in southern Iran.
Methods
This cross-sectional study was performed on 1167 suicide attempts by hanging between 2011 and 2019. All data related to suicide attempts by hanging were collected from the Fars Suicide Surveillance System. The trends in suicide cases and the mean age of attempted and completed suicides were plotted. The chi-square test was used to identify suicide-related factors. Crude rates of incidence, mortality, and standardized fatality during the study period were calculated. Finally, logistic regression was used to identify the predictors of death in individuals who attempted suicide.
Results
The mean age of those who attempted suicide was 33.21±16.82 years; the majority were male (80.5%). The rate of attempted and completed suicide by hanging were 3.50 and 2.79 per 100 000 people, respectively. The case-fatality rate was calculated as 79.34%. The results of our study indicated an increasing trend in suicide attempts by hanging. The likelihood of death was 2.28 times higher in individuals with a previous history of suicide attempts and 1.85 times higher in those with a psychological disorder.
Conclusions
The findings of this study suggest an increasing trend in attempted and completed suicide by hanging, especially among individuals with a history of suicide attempts and psychological disorders. It is necessary to take action to reduce the rate of suicide attempts and identify the underlying causes of suicide attempts by hanging.

Summary

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Assessing the knot in a noose position by thyrohyoid and cervical spine fracture patterns in suicidal hangings using machine learning algorithms: A new insight into old dilemmas
Aleksa Leković, Arso Vukićević, Slobodan Nikolić
Forensic Science International.2024; 357: 111973. CrossRef

Annual Endovascular Thrombectomy Case Volume and Thrombectomy-capable Hospitals of Korea in Acute Stroke Care: Eun Hye Park, Seung-sik Hwang, Juhwan Oh, Beom-Joon Kim, Hee-Joon Bae, Ki-Hwa Yang, Ah-Rum Choi, Mi-Yeon Kang, S.V. Subramanian; J Prev Med Public Health. 2023;56(2):145-153. Published online March 31, 2023; DOI: https://doi.org/10.3961/jpmph.22.318

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Abstract Summary PDF Supplementary Material

Objectives
Although it is difficult to define the quality of stroke care, acute ischemic stroke (AIS) patients with moderate-to-severe neurological deficits may benefit from thrombectomy-capable hospitals (TCHs) that have a stroke unit, stroke specialists, and a substantial endovascular thrombectomy (EVT) case volume.
Methods
From national audit data collected between 2013 and 2016, potential EVT candidates arriving within 24 hours with a baseline National Institutes of Health Stroke Scale score ≥6 were identified. Hospitals were classified as TCHs (≥15 EVT case/y, stroke unit, and stroke specialists), primary stroke hospitals (PSHs) without EVT (PSHs-without-EVT, 0 case/y), and PSHs-with-EVT. Thirty-day and 1-year case-fatality rates (CFRs) were analyzed using random intercept multilevel logistic regression.
Results
Out of 35 004 AIS patients, 7954 (22.7%) EVT candidates were included in this study. The average 30-day CFR was 16.3% in PSHs-without-EVT, 14.8% in PSHs-with-EVT, and 11.0% in TCHs. The average 1-year CFR was 37.5% in PSHs-without-EVT, 31.3% in PSHs-with-EVT, and 26.2% in TCHs. In TCHs, a significant reduction was not found in the 30-day CFR (odds ratio [OR], 0.92; 95% confidence interval [CI], 0.76 to 1.12), but was found in the 1-year CFR (OR, 0.84; 95% CI, 0.73 to 0.96).
Conclusions
The 1-year CFR was significantly reduced when EVT candidates were treated at TCHs. TCHs are not defined based solely on the number of EVTs, but also based on the presence of a stroke unit and stroke specialists. This supports the need for TCH certification in Korea and suggests that annual EVT case volume could be used to qualify TCHs.

Summary

Korean summary
급성 허혈성 뇌졸중 환자에서 “혈관 내 혈전제거술(endovascular treatment, EVT)”의 치료효과는 여러 연구를 통해 증명되었으나, EVT 후보군에서 EVT를 제공하기 위한 의료서비스 연구는 부족한 실정이다. 5~7차 뇌졸중 적정성 평가 자료를 활용하여 연간 EVT 시행횟수와 EVT후보군의 30일, 1년 후 치명률 간의 연관성을 다수준 분석을 통해 확인하였다. 연간 15회 이상 EVT를 시행하면서 뇌졸중 전문치료실과 뇌줄중 관련 전문분과(신경과, 신경외과, 재활의학과) 전문의가 모두 있는 병원(TCHs)에서 치료받은 환자는 EVT를 시행하지 않는 병원(PSHs-without-EVT)에서 치료받는 환자에 비해 치명률이 감소하는 경향을 보였다. 이는 뇌졸중 치료체계에서 EVT가능병원을 정의할 필요성을 잘 보여주고, “연간 EVT 시행횟수”는 TCHs를 정의하는 중요한 지표로 사용될 수 있을 것이다.

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Trends in Regional Disparities in Cardiovascular Surgery and Mortality in Korea: A National Cross-sectional Study
Dal-Lae Jin, Kyoung-Hoon Kim, Euy Suk Chung, Seok-Jun Yoon
Journal of Preventive Medicine and Public Health.2024; 57(3): 260. CrossRef
Mortality and Disparities of Acute Myocardial Infarction and Stroke in Korea, 2008–2019
Ji-Sook Choi, Soomin Kim, Choon-Seon Park, Hyejin Lee, Jin Yong Lee, Sun Min Kim
Yonsei Medical Journal.2024; 65(9): 534. CrossRef

Characteristics of Respiratory Syncytial Virus Infection in Hospitalized Children Before and During the COVID-19 Pandemic in Thailand: Wilawan Chaiut, Ratana Sapbamrer, Sauwaluk Dacha, Tavitiya Sudjaritruk, Ida Parwati, Anton Sumarpo, Rungnapa Malasao; J Prev Med Public Health. 2023;56(3):212-220. Published online March 23, 2023; DOI: https://doi.org/10.3961/jpmph.23.019

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Abstract PDF

Objectives
This study compared the epidemiological and clinical manifestations of patients hospitalized with respiratory syncytial virus (RSV) infection before and during the coronavirus disease 2019 (COVID-19) pandemic at a tertiary care hospital in Chiang Mai Province, Thailand.
Methods
This retrospective observational study utilized data from all cases of laboratory-confirmed RSV infection at Maharaj Nakorn Chiang Mai Hospital from January 2016 to December 2021. Differences in the clinical presentation of RSV infection before (2016 to 2019) and during (2020 to 2021) the COVID-19 pandemic were analyzed and compared.
Results
In total, 358 patients hospitalized with RSV infections were reported from January 2016 to December 2021. During the COVID-19 pandemic, only 74 cases of hospitalized RSV infection were reported. Compared to pre-pandemic levels, the clinical presentations of RSV infection showed statistically significant decreases in fever on admission (p=0.004), productive cough (p=0.004), sputum (p=0.003), nausea (p=0.03), cyanosis (p=0.004), pallor (p<0.001), diarrhea (p<0.001), and chest pain (p<0.001). Furthermore, vigilant measures to prevent the spread of COVID-19, including lockdowns, also interrupted the RSV season in Thailand from 2020 to 2021.
Conclusions
The incidence of RSV infection was affected by the COVID-19 pandemic in Chiang Mai Province, Thailand, which also changed the clinical presentation and seasonal pattern of RSV infection in children.

Summary

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Retrospective Analysis of Clinical Patterns and Antibiotic Utilization in Pediatric Patients Hospitalized with Respiratory Syncytial Virus Pneumonia at a Recently Established General Hospital
Hyejin So, Kyung Min Kim, Eun Young Cho
Pediatric Infection & Vaccine.2024; 31(1): 75. CrossRef
Respiratory syncytial virus infection in children during SARS-CoV-2 pandemic at a referral center in Rio de Janeiro, Brazil
Giuliana Pucarelli Lebreiro1, Marianna Tavares Venceslau1, Maria Angélica Arpon Marandino Guimarães1, Thalita Fernandes Abreu2, Yarina Rangel2, Ana Cristina Cisne Frota2, Cristina Barroso Hofer1
Jornal Brasileiro de Pneumologia.2024; : e20240072. CrossRef
Predominance of ON1 and BA9 genotypes of human respiratory syncytial virus in children with acute respiratory infection in Chiang Mai, Thailand, 2020–2021
Rungnapa Malasao, Wilawan Chaiut, Wanwisa Tantipetcharawan, Ratchanu Tongphung, Nicha Charoensri, Piyawan Takarn, Tavitiya Sudjaritruk, Niwat Maneekarn
Journal of Infection and Public Health.2023; 16(9): 1418. CrossRef

Projection of Cancer Incidence and Mortality From 2020 to 2035 in the Korean Population Aged 20 Years and Older: Youjin Hong, Sangjun Lee, Sungji Moon, Soseul Sung, Woojin Lim, Kyungsik Kim, Seokyung An, Jeoungbin Choi, Kwang-Pil Ko, Inah Kim, Jung Eun Lee, Sue K. Park; J Prev Med Public Health. 2022;55(6):529-538. Published online October 17, 2022; DOI: https://doi.org/10.3961/jpmph.22.128

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Abstract Summary PDF Supplementary Material

Objectives
This study aimed to identify the current patterns of cancer incidence and estimate the projected cancer incidence and mortality between 2020 and 2035 in Korea.
Methods
Data on cancer incidence cases were extracted from the Korean Statistical Information Service from 2000 to 2017, and data on cancer-related deaths were extracted from the National Cancer Center from 2000 to 2018. Cancer cases and deaths were classified according to the International Classification of Diseases, 10th edition. For the current patterns of cancer incidence, age-standardized incidence rates (ASIRs) and age-standardized mortality rates were investigated using the 2000 mid-year estimated population aged over 20 years and older. A joinpoint regression model was used to determine the 2020 to 2035 trends in cancer.
Results
Overall, cancer cases were predicted to increase from 265 299 in 2020 to 474 085 in 2035 (growth rate: 1.8%). The greatest increase in the ASIR was projected for prostate cancer among male (7.84 vs. 189.53 per 100 000 people) and breast cancer among female (34.17 vs. 238.45 per 100 000 people) from 2000 to 2035. Overall cancer deaths were projected to increase from 81 717 in 2020 to 95 845 in 2035 (average annual growth rate: 1.2%). Although most cancer mortality rates were projected to decrease, those of breast, pancreatic, and ovarian cancer among female were projected to increase until 2035.
Conclusions
These up-to-date projections of cancer incidence and mortality in the Korean population may be a significant resource for implementing cancer-related regulations or developing cancer treatments.

Summary

Korean summary
최근 고령화 시대로 접어들고 암의 위험요인들에 대한 노출률이 변화함에 따라 암의 발생률 및 사망률에 대해서 관찰하는 것은 중요한 일이 되었다. 따라서, 본 연구는 한국인에서 2035년까지의 암에 대한 발생률과 사망률을 Joinpoint regression 모델을 이용하여 예측하였다. 남성에서는 전립선암, 여성에서는 유방암이 연령표준화 발생률이 가장 높았으며 대부분의 연령표준화 사망률은 감소하는 것으로 예상되지만 여성의 유방암, 췌장암, 난소암이 증가될 것으로 예상된다.

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Changes in metabolic syndrome and risk of breast and endometrial cancers according to menopause
Thi Xuan Mai Tran, Soyeoun Kim, Boyoung Park
Epidemiology and Health.2023; : e2023049. CrossRef

Hepatitis B, C, and D Virus Infections and AFP Tumor Marker Prevalence Among the Elderly Population in Mongolia: A Nationwide Survey: Davaalkham Dambadarjaa, Yerkyebulan Mukhtar, Enkh-Oyun Tsogzolbaatar, Ser-Od Khuyag, Angarmurun Dayan, Nandin-Erdene Oyunbileg, Oyu-Erdene Shagdarsuren, Gunchmaa Nyam, Yosikazu Nakamura, Masaharu Takahashi, Hiroaki Okamoto; J Prev Med Public Health. 2022;55(3):263-272. Published online May 20, 2022; DOI: https://doi.org/10.3961/jpmph.21.573

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Abstract PDF

Objectives
Infections with hepatitis B, C, and D virus (HBV, HCV, and HDV) are a major public health problem and lead to serious complications such as cirrhosis and hepatocellular carcinoma. We aimed to determine the seroprevalence of hepatitis B surface antigen (HBsAg), anti-HCV, anti-HDV immunoglobulin G, alpha-fetoprotein (AFP), and dual and triple hepatitis virus infections in Mongolia.
Methods
A total of 2313 participants from urban and rural regions were randomly recruited for this cross-sectional study. A questionnaire was used to identify the risk factors for hepatitis virus infections, and the seromarkers were measured using immunoassay kits.
Results
Among all participants, the prevalence of HBV, HCV, and HDV was 15.6%, 36.6%, and 14.3%, respectively. The infection rates were significantly higher in females and participants with a lower education level, rural residence, older age, and a history of blood transfusion. HBV and HCV co-infection was found in 120 (5.2%) participants and HBV, HCV, and HDV triple infection was detected in 67 (2.9%) participants. The prevalence of elevated AFP was 2.7%, 5.5%, and 2.6% higher in participants who were seropositive for HBsAg (p=0.01), anti-HCV (p<0.001), and anti-HDV (p=0.022), respectively. Elevated AFP was more prevalent in participants co-infected with HBV and HCV (5.8%, p=0.023), HBV and HDV (6.0%, p<0.001), and triple-infected with HBV, HCV, and HDV (7.5%) than in uninfected individuals.
Conclusions
Nearly half (49.8%) of the study population aged ≥40 years were infected with HBV, HCV, or HDV, and 22.4% had dual or triple infections.

Summary

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The values of systemic immune-inflammation index and neutrophil-lymphocyte ratio in predicting testicular germ cell tumors: A retrospective clinical study
Shuo Wang, Xiao Yang, Ziyi Yu, Peng Du, Yudong Cao, Yongpeng Ji, Jinchao Ma, Yong Yang
Frontiers in Oncology.2022;[Epub] CrossRef
Genetic Diversity and Possible Origins of the Hepatitis B Virus in Siberian Natives
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Viruses.2022; 14(11): 2465. CrossRef

Special Articles

Application of Standardization for Causal Inference in Observational Studies: A Step-by-step Tutorial for Analysis Using R Software: Sangwon Lee, Woojoo Lee; J Prev Med Public Health. 2022;55(2):116-124. Published online February 11, 2022; DOI: https://doi.org/10.3961/jpmph.21.569

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Epidemiological studies typically examine the causal effect of exposure on a health outcome. Standardization is one of the most straightforward methods for estimating causal estimands. However, compared to inverse probability weighting, there is a lack of user-centric explanations for implementing standardization to estimate causal estimands. This paper explains the standardization method using basic R functions only and how it is linked to the R package stdReg, which can be used to implement the same procedure. We provide a step-by-step tutorial for estimating causal risk differences, causal risk ratios, and causal odds ratios based on standardization. We also discuss how to carry out subgroup analysis in detail.

Summary

Korean summary
본 논문에서는 standardization 방법을 이용하여 risk difference, relative risk, risk ratio와 같은 인과성 효과를 R software을 이용하여 도출하는 튜토리얼을 제공합니다. 간암환자의 치료를 예시로, 합성 데이터를 이용한 치료제의 사망에 대한 인과적 효과를 탐색하는 튜토리얼을 제공합니다. 추가적으로, 인과성 관련 기본 이론을 집약적으로 설명하였고, standardization을 이용한 subgroup analysis 수행 방법이 제공됩니다.

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Improved Clinical Outcomes With Early Anti-Tumour Necrosis Factor Alpha Therapy in Children With Newly Diagnosed Crohn’s Disease: Real-world Data from the International Prospective PIBD-SETQuality Inception Cohort Study
Renz C W Klomberg, Hella C van der Wal, Martine A Aardoom, Polychronis Kemos, Dimitris Rizopoulos, Frank M Ruemmele, Mohammed Charrout, Hankje C Escher, Nicholas M Croft, Lissy de Ridder, Ivan D Milovanovich, James J Ashton, Paul Henderson, Oren Ledder, T
Journal of Crohn's and Colitis.2024; 18(5): 738. CrossRef
Homologous and Heterologous Prime-Boost Vaccination: Impact on Clinical Severity of SARS-CoV-2 Omicron Infection among Hospitalized COVID-19 Patients in Belgium
Marjan Meurisse, Lucy Catteau, Joris A. F. van Loenhout, Toon Braeye, Laurane De Mot, Ben Serrien, Koen Blot, Emilie Cauët, Herman Van Oyen, Lize Cuypers, Annie Robert, Nina Van Goethem
Vaccines.2023; 11(2): 378. CrossRef

Network Analysis in Systems Epidemiology: JooYong Park, Jaesung Choi, Ji-Yeob Choi; J Prev Med Public Health. 2021;54(4):259-264. Published online July 7, 2021; DOI: https://doi.org/10.3961/jpmph.21.190

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Abstract Summary PDF

Traditional epidemiological studies have identified a number of risk factors for various diseases using regression-based methods that examine the association between an exposure and an outcome (i.e., one-to-one correspondences). One of the major limitations of this approach is the “black-box” aspect of the analysis, in the sense that this approach cannot fully explain complex relationships such as biological pathways. With high-throughput data in current epidemiology, comprehensive analyses are needed. The network approach can help to integrate multi-omics data, visualize their interactions or relationships, and make inferences in the context of biological mechanisms. This review aims to introduce network analysis for systems epidemiology, its procedures, and how to interpret its findings.

Summary

Korean summary
본 리뷰는 시스템역학연구에 활용할 수 있는 네트워크 분석의 간략한 개념과 분석 절차 그리고 결과 해석에 대하여 소개하고 있다. 기존 역학연구의 주요 한계점은 생물학적 기전과 같은 복잡한 관계를 충분히 설명하지 못한다는 것이다. 최근 역학 연구에서 대규모의 오믹스 데이터가 활용 가능하게 됨에 따라 통합적 분석의 필요성이 제기되고 있고, 네트워크 분석 기법이 이런 다중 오믹스 데이터들을 포괄적으로 분석하는데 활용 될 수 있을 것이다.

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Yorghos Apostolopoulos, Sevil Sönmez, Matthew S. Thiese, Mubo Olufemi, Lazaros K. Gallos
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COVID-19: Original Article

Did the Timing of State Mandated Lockdown Affect the Spread of COVID-19 Infection? A County-level Ecological Study in the United States: Megh M. Trivedi, Anirudha Das; J Prev Med Public Health. 2021;54(4):238-244. Published online July 2, 2021; DOI: https://doi.org/10.3961/jpmph.21.071

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Abstract PDF

Objectives
Previous pandemics have demonstrated that several demographic, geographic, and socioeconomic factors may play a role in increased infection risk. During this current coronavirus disease 2019 (COVID-19) pandemic, our aim was to examine the association of timing of lockdown at the county level and aforementioned risk factors with daily case rate (DCR) in the United States.
Methods
A cross-sectional study using publicly available data was performed including Americans with COVID-19 infection as of May 24, 2020. The United States counties with >100 000 population and >50 cases per 100 000 people were included. The independent variable was the days required from the declaration of lockdown to reach the target case rate (50/100 000 cases) while the dependent (outcome) variable was the DCR per 100 000 on the day of statistical calculation (May 24, 2020) after adjusting for multiple confounding socio-demographic, geographic, and health-related factors. Each independent factor was correlated with outcome variables and assessed for collinearity with each other. Subsequently, all factors with significant association to the outcome variable were included in multiple linear regression models using stepwise method. Models with best R2 value from the multiple regression were chosen.
Results
The timing of mandated lockdown order had the most significant association on the DCR per 100 000 after adjusting for multiple socio-demographic, geographic and health-related factors. Additional factors with significant association with increased DCR include rate of uninsured and unemployment.
Conclusions
The timing of lockdown order was significantly associated with the spread of COVID-19 at the county level in the United States.

Summary

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Special Article

Introduction to Mediation Analysis and Examples of Its Application to Real-world Data: Sun Jae Jung; J Prev Med Public Health. 2021;54(3):166-172. Published online May 7, 2021; DOI: https://doi.org/10.3961/jpmph.21.069

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Abstract Summary PDF

Traditional epidemiological assessments, which mainly focused on evaluating the statistical association between two major components-the exposure and outcome-have recently evolved to ascertain the in-between process, which can explain the underlying causal pathway. Mediation analysis has emerged as a compelling method to disentangle the complex nature of these pathways. The statistical method of mediation analysis has evolved from simple regression analysis to causal mediation analysis, and each amendment refined the underlying mathematical theory and required assumptions. This short guide will introduce the basic statistical framework and assumptions of both traditional and modern mediation analyses, providing examples conducted with real-world data.

Summary

Korean summary
본 리뷰에서는 전통적으로 쓰여왔던 회귀분석 기반 매개요인분석방법과 인과적 매개요인분석방법에 대하여 간략히 소개하며, 또한 예시를 들어 설명하고 있다. 매개요인 분석 전에는 필요한 가정들이 맞는 지를 확인하는 것이 중요하다. 또한 분석결과를 올바르게 해석하는 것 또한 요구된다. 이러한 방법은 그동안의 노출-결과만을 다루는 단순 역학연구을 뛰어넘어, 인구집단연구에서 매커니즘을 밝히는 도구로서 유용하게 쓰일 것이다.

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COVID-19: Perspective

A Chinese Case of Coronavirus Disease 2019 (COVID-19) Did Not Show Infectivity During the Incubation Period: Based on an Epidemiological Survey: Jong-Myon Bae; J Prev Med Public Health. 2020;53(2):67-69. Published online March 2, 2020; DOI: https://doi.org/10.3961/jpmph.20.048

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Abstract Summary PDF

Controversy remains over whether the coronavirus disease 2019 (COVID-19) virus may have infectivity during the incubation period before the onset of symptoms. The author had the opportunity to examine the infectivity of COVID-19 during the incubation period by conducting an epidemiological survey on a confirmed patient who had visited Jeju Island during the incubation period. The epidemiological findings support the claim that the COVID-19 virus does not have infectivity during the incubation period.

Summary

Korean summary
잠복기 동안 제주도를 방문했던 중국인 COVID-19 확진자에 대한 역학조사를 수행하였다. 환자와 직접 접촉한 11명을 14일간 격리조치 하였는데, 이들 모두 격리해제까지 COVID-19 감염증상을 보이지 않았다. 이상의 역학조사 결과는 잠복기때는 감염력이 없다는 주장을 뒷받침한다.

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Methods

Health Indicators Related to Disease, Death, and Reproduction: Jeoungbin Choi, Moran Ki, Ho Jang Kwon, Boyoung Park, Sanghyuk Bae, Chang-Mo Oh, Byung Chul Chun, Gyung-Jae Oh, Young Hoon Lee, Tae-Yong Lee, Hae Kwan Cheong, Bo Youl Choi, Jung Han Park, Sue K. Park; J Prev Med Public Health. 2019;52(1):14-20. Published online January 23, 2019; DOI: https://doi.org/10.3961/jpmph.18.250

13,160 View
233 Download
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Abstract Summary PDF Supplementary Material

One of the primary goals of epidemiology is to quantify various aspects of a population’s health, illness, and death status and the determinants (or risk factors) thereof by calculating health indicators that measure the magnitudes of various conditions. There has been some confusion regarding health indicators, with discrepancies in usage among organizations such as the World Health Organization the, Centers for Disease Control and Prevention (CDC), and the CDC of other countries, and the usage of the relevant terminology may vary across papers. Therefore, in this review, we would like to propose appropriate terminological definitions for health indicators based on the most commonly used meanings and/or the terms used by official agencies, in order to bring clarity to this area of confusion. We have used appropriate examples to make each health indicator easy for the reader to understand. We have included practical exercises for some health indicators to help readers understand the underlying concepts.

Summary

Korean summary
본 논문에서는 질병과 사망, 출생 관련 지표들의 개념과 종류를 설명하고, 특히 연구자들이 흔히 혼동하여 사용하는 지표들에 대한 적절한 정의를 제시하였다. 또한 지표들의 예시를 부록으로 수록하여 독자들이 지표의 개념을 보다 쉽게 습득하도록 돕고자 하였다.

Citations

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Perspectives

Introduction of Phylodynamics for Controlling the HIV/AIDS Epidemic in Korea: Jong-Myon Bae; J Prev Med Public Health. 2018;51(6):326-328. Published online October 22, 2018; DOI: https://doi.org/10.3961/jpmph.18.150

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76 Download

Abstract Summary PDF Supplementary Material: As over 1000 new cases of HIV/AIDS occur in Korea annually, preventive health programs against HIV/AIDS are urgently needed. Since phylodynamic studies have been suggested as a way to understand how infectious diseases are transmitted and evolve, phylodynamic inferences can be a useful tool for HIV/AIDS research. In particular, phylodynamic models are helpful for dating the origins of an epidemic and estimating its basic reproduction number. Thus, the introduction of phylodynamics would be a highly valuable step towards controlling the HIV/AIDS epidemic in Korea.; Summary

Korean summary
국내 HIV/AIDS 신환자가 지속적으로 발생하고 있는 상황에서, 다른 나라에서는 HIV 감염관리에 계통역동학을 적용하고 있다. 이는 감염원과 감염경로를 알아내고, 기본재생산지수를 산출하도록 해주기 때문이다. 따라서 국내 HIV/AIDS 관리를 위해 계통역동학 적용을 적극 제안한다.”

Necessity of Epigenetic Epidemiology Studies on the Carcinogenesis of Lung Cancer in Never Smokers: Jong-Myon Bae; J Prev Med Public Health. 2018;51(5):263-264. Published online July 8, 2018; DOI: https://doi.org/10.3961/jpmph.18.076

5,319 View
140 Download

Abstract PDF Supplementary Material: Based on epidemiological and genomic characteristics, lung cancer in never smokers (LCNS) is a different disease from lung cancer in smokers. Based on current research, the main risk factor for LCNS may be air pollution. A recent case-control study in Koreans reported that nitrogen dioxide (NO2) may be a risk factor for LCNS. Additionally, a cohort study showed that exposure to NO2 was associated with significant hypomethylation. Thus, epigenetic epidemiology studies are needed in the near future to evaluate the carcinogenesis of LCNS according to chronic exposure to air pollution and/or viral infections.; Summary

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