Emerging infectious diseases have risen sharply due to population growth, urbanization, travel, trade, and environmental changes, with outbreaks like severe acute respiratory syndrome, Middle East respiratory syndrome, and coronavirus disease 2019 highlighting the global need for effective surveillance systems. Various infectious disease surveillance systems are applied depending on the surveillance objectives, target populations, and geographical scope. While Korea has a robust surveillance system, challenges remain in integrating data, enhancing coordination, and improving response efficiency. This article reviews the types and roles of infectious disease surveillance systems through a literature review and proposes strategies for improving Korea’s surveillance system by comparing it with those of other countries, including the World Health Organization (WHO). To strengthen Korea’s surveillance framework, a comprehensive strategy should be implemented to interconnect multiple surveillance mechanisms and enhance real-time data sharing. A centralized data platform must integrate these systems, leveraging artificial intelligence and big data analytics for faster outbreak analysis. International collaboration through data-sharing networks with the WHO, European Center for Disease Prevention and Control, and U.S Centers for Disease Control and Prevention is essential, along with standardized reporting formats to improve interoperability.

Emerging infectious diseases have risen sharply due to population growth, urbanization, travel, trade, and environmental changes, with outbreaks like severe acute respiratory syndrome, Middle East respiratory syndrome, and coronavirus disease 2019 highlighting the global need for effective surveillance systems. Various infectious disease surveillance systems are applied depending on the surveillance objectives, target populations, and geographical scope. While Korea has a robust surveillance system, challenges remain in integrating data, enhancing coordination, and improving response efficiency. This article reviews the types and roles of infectious disease surveillance systems through a literature review and proposes strategies for improving Korea’s surveillance system by comparing it with those of other countries, including the World Health Organization (WHO). To strengthen Korea’s surveillance framework, a comprehensive strategy should be implemented to interconnect multiple surveillance mechanisms and enhance real-time data sharing. A centralized data platform must integrate these systems, leveraging artificial intelligence and big data analytics for faster outbreak analysis. International collaboration through data-sharing networks with the WHO, European Center for Disease Prevention and Control, and U.S Centers for Disease Control and Prevention is essential, along with standardized reporting formats to improve interoperability.

Emerging infectious diseases have risen sharply due to population growth, urbanization, travel, trade, and environmental changes, with outbreaks like severe acute respiratory syndrome, Middle East respiratory syndrome, and coronavirus disease 2019 highlighting the global need for effective surveillance systems. Various infectious disease surveillance systems are applied depending on the surveillance objectives, target populations, and geographical scope. While Korea has a robust surveillance system, challenges remain in integrating data, enhancing coordination, and improving response efficiency. This article reviews the types and roles of infectious disease surveillance systems through a literature review and proposes strategies for improving Korea’s surveillance system by comparing it with those of other countries, including the World Health Organization (WHO). To strengthen Korea’s surveillance framework, a comprehensive strategy should be implemented to interconnect multiple surveillance mechanisms and enhance real-time data sharing. A centralized data platform must integrate these systems, leveraging artificial intelligence and big data analytics for faster outbreak analysis. International collaboration through data-sharing networks with the WHO, European Center for Disease Prevention and Control, and U.S Centers for Disease Control and Prevention is essential, along with standardized reporting formats to improve interoperability.

Emerging infectious diseases have risen sharply due to population growth, urbanization, travel, trade, and environmental changes, with outbreaks like severe acute respiratory syndrome, Middle East respiratory syndrome, and coronavirus disease 2019 highlighting the global need for effective surveillance systems. Various infectious disease surveillance systems are applied depending on the surveillance objectives, target populations, and geographical scope. While Korea has a robust surveillance system, challenges remain in integrating data, enhancing coordination, and improving response efficiency. This article reviews the types and roles of infectious disease surveillance systems through a literature review and proposes strategies for improving Korea’s surveillance system by comparing it with those of other countries, including the World Health Organization (WHO). To strengthen Korea’s surveillance framework, a comprehensive strategy should be implemented to interconnect multiple surveillance mechanisms and enhance real-time data sharing. A centralized data platform must integrate these systems, leveraging artificial intelligence and big data analytics for faster outbreak analysis. International collaboration through data-sharing networks with the WHO, European Center for Disease Prevention and Control, and U.S Centers for Disease Control and Prevention is essential, along with standardized reporting formats to improve interoperability.

Purpose: The purpose of this study was to examine knowledge, attitudes, performance, and barriers to pain management of nurses working in oncology settings. Methods: This cross-sectional study was conducted on 222 nurses in five tertiary hospitals in Korea.The period of data collection was 1 September to 30 November 2018. Participants were surveyed using the Nurse Knowledge and Attitudes Survey Regarding Pain (NKASRP), a pain management performance, and barriers questionnaire. The data were analyzed through independent t-test and One-way ANOVA, and the post-hoc test was conducted with the Scheffé test using the SPSS 23 program. Results: According to the study, oncology nurses’ knowledge and attitudes to pain received a score of 26.4±3.77 (out of 41 points) and the performance received a score of 3.24±0.35 (out of 4 points). Among the barriers to pain management, time constraints were the most frequent medical staff-related factor, and reluctance to take opioids was the most frequent patient-related factor. In terms of factors related to the health care system, strict regulation of opioids was the most significant. There was a significant positive correlation between knowledge and attitude of pain management and performance of pain management. Conclusion Based on the findings of this study, it is recommended that structured education programs to be developed and implemented to enhance knowledge, attitudes, and performance on pain.

In 2017, the Korean government launched an unprecedentedly large-scaled latent tuberculosis infection (LTBI) screening project which covered more than a million individuals in congregate settings. A total of 1,047,689 participants of source population (n = 2,336,157) underwent LTBI testing from 2017 to 2018. The overall LTBI test uptake rate during this project was 44.8%. Workers in daycare centers (83.5%) and kindergartens (78.9%) showed high participation rate. A total of 1,012,206 individuals with valid results of interferongamma release assay (IGRA) were selected to constitute the IGRA cohort. Most of the enrolled participants in the IGRA cohort were in their working age. Approximately, threequarters of total enrolled population were female. Investigating the LTBI prevalence, stages of LTBI care cascade, natural history of LTBI, efficacy of LTBI treatment and cost-effectiveness of LTBI screening are feasible within this IGRA cohort.

Purpose: The purpose of this study was to examine knowledge, attitudes, performance, and barriers to pain management of nurses working in oncology settings. Methods: This cross-sectional study was conducted on 222 nurses in five tertiary hospitals in Korea.The period of data collection was 1 September to 30 November 2018. Participants were surveyed using the Nurse Knowledge and Attitudes Survey Regarding Pain (NKASRP), a pain management performance, and barriers questionnaire. The data were analyzed through independent t-test and One-way ANOVA, and the post-hoc test was conducted with the Scheffé test using the SPSS 23 program. Results: According to the study, oncology nurses’ knowledge and attitudes to pain received a score of 26.4±3.77 (out of 41 points) and the performance received a score of 3.24±0.35 (out of 4 points). Among the barriers to pain management, time constraints were the most frequent medical staff-related factor, and reluctance to take opioids was the most frequent patient-related factor. In terms of factors related to the health care system, strict regulation of opioids was the most significant. There was a significant positive correlation between knowledge and attitude of pain management and performance of pain management. Conclusion Based on the findings of this study, it is recommended that structured education programs to be developed and implemented to enhance knowledge, attitudes, and performance on pain.

In 2017, the Korean government launched an unprecedentedly large-scaled latent tuberculosis infection (LTBI) screening project which covered more than a million individuals in congregate settings. A total of 1,047,689 participants of source population (n = 2,336,157) underwent LTBI testing from 2017 to 2018. The overall LTBI test uptake rate during this project was 44.8%. Workers in daycare centers (83.5%) and kindergartens (78.9%) showed high participation rate. A total of 1,012,206 individuals with valid results of interferongamma release assay (IGRA) were selected to constitute the IGRA cohort. Most of the enrolled participants in the IGRA cohort were in their working age. Approximately, threequarters of total enrolled population were female. Investigating the LTBI prevalence, stages of LTBI care cascade, natural history of LTBI, efficacy of LTBI treatment and cost-effectiveness of LTBI screening are feasible within this IGRA cohort.

BACKGROUND: In Korea, the incidence of varicella has increased despite the introduction of a universal one-dose vaccination for children aged 12–15 months in 2005. A previous study demonstrated that the vaccine effectiveness was insufficient to prevent against varicella. We assessed the effect of the varicella vaccination on disease severity. METHODS: Epidemiologic investigation of varicella cases in Seoul metropolitan area from 2015 to 2017 were used. Varicella-related symptoms such as rash were determined by the clinical practitioners. Disease severity of patients was assessed by the number of skin lesions and divided into mild (≤ 50) and moderate (51–249) to severe (≥ 250). Unconditional logistic regression analysis was performed and age was controlled. RESULTS: Among a total of 1,008 varicella cases reported, 869 cases were breakthrough cases and 139 were unvaccinated cases. The risk for occurrence of moderate-to-severe disease in the breakthrough group was 0.57 times less than that of the unvaccinated group. CONCLUSION: These data suggest that national varicella vaccination may have a significant effect on attenuation of disease severity in children.
Chickenpox ; Child ; Disease Outbreaks ; Exanthema ; Humans ; Incidence ; Korea ; Logistic Models ; Seoul ; Skin ; Vaccination

OBJECTIVES: Body mass index (BMI) is commonly used in epidemiological study or clinical center. However, it is not exactly correlated with body fat composition and does not reflect sex, age, or race. The aim of this article is to evaluate the validity of BMI standards relative to total body fat (TBF) and to estimate new BMI criteria that correspond to TBF for obesity, especially for Asian postmenopausal women. METHODS: A total 3,936 patients were included in this cross-sectional study, including 1,565 premenopausal and 2,371 postmenopausal women. At the time of visit, demographic data were collected. We demonstrated the validity of BMI cut-point of 25 kg/m2 by using area under the curve (AUC), and presented the empirical optimal BMI cut-point by using Youden's index and overall accuracy in both premenopausal and postmenopausal women. RESULTS: BMI-defined obesity (≥ 25 kg/m2) represents high AUC values (> 0.9) for each TBF. In premenopausal women, TBF ≥ 38% and corresponding BMI value was 29.45 kg/m2 indicated the highest both Youden's index and overall accuracy. In comparison, postmenopausal women who were TBF ≥ 38% showed the highest Youden's index and overall accuracy, and corresponding BMI value was 26.45 kg/m2. CONCLUSIONS: We proposed new BMI criteria for obesity by using TBF reference. With application of bioelectrical impedance analysis, the diagnosis of obesity using BMI criteria may differ between premenopausal and postmenopausal women.
Adipose Tissue ; Area Under Curve ; Asian Continental Ancestry Group ; Body Mass Index ; Continental Population Groups ; Cross-Sectional Studies ; Diagnosis ; Electric Impedance ; Epidemiologic Studies ; Female ; Humans ; Menopause ; Obesity