We analyzed the publication and submission statuses of Korean medical journals from 2010 to 2024, amidst challenges impacting researchers. Data from 58 domestic journals identified through the 2023 JCR database were used to assess publication status, while data from the Journal of Korean Medical Science (JKMS) were utilized to examine submission status.The proportion of published original articles by domestic authors decreased by 3% in 2024 compared to 2023. Submissions to JKMS also decreased overall, except for slight increases in May and October 2024. In contrast, international submissions to JKMS showed consistent growth, surpassing the 15-year average, reflecting growing global interest. Addressing issues, including medical school admission policies and the lingering effects of coronavirus disease 2019, is vital to ensure a sustainable and thriving medical research environment in Korea.

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.

We analyzed the publication and submission statuses of Korean medical journals from 2010 to 2024, amidst challenges impacting researchers. Data from 58 domestic journals identified through the 2023 JCR database were used to assess publication status, while data from the Journal of Korean Medical Science (JKMS) were utilized to examine submission status.The proportion of published original articles by domestic authors decreased by 3% in 2024 compared to 2023. Submissions to JKMS also decreased overall, except for slight increases in May and October 2024. In contrast, international submissions to JKMS showed consistent growth, surpassing the 15-year average, reflecting growing global interest. Addressing issues, including medical school admission policies and the lingering effects of coronavirus disease 2019, is vital to ensure a sustainable and thriving medical research environment in Korea.

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.

We analyzed the publication and submission statuses of Korean medical journals from 2010 to 2024, amidst challenges impacting researchers. Data from 58 domestic journals identified through the 2023 JCR database were used to assess publication status, while data from the Journal of Korean Medical Science (JKMS) were utilized to examine submission status.The proportion of published original articles by domestic authors decreased by 3% in 2024 compared to 2023. Submissions to JKMS also decreased overall, except for slight increases in May and October 2024. In contrast, international submissions to JKMS showed consistent growth, surpassing the 15-year average, reflecting growing global interest. Addressing issues, including medical school admission policies and the lingering effects of coronavirus disease 2019, is vital to ensure a sustainable and thriving medical research environment in Korea.

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.

We analyzed the publication and submission statuses of Korean medical journals from 2010 to 2024, amidst challenges impacting researchers. Data from 58 domestic journals identified through the 2023 JCR database were used to assess publication status, while data from the Journal of Korean Medical Science (JKMS) were utilized to examine submission status.The proportion of published original articles by domestic authors decreased by 3% in 2024 compared to 2023. Submissions to JKMS also decreased overall, except for slight increases in May and October 2024. In contrast, international submissions to JKMS showed consistent growth, surpassing the 15-year average, reflecting growing global interest. Addressing issues, including medical school admission policies and the lingering effects of coronavirus disease 2019, is vital to ensure a sustainable and thriving medical research environment in Korea.

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.

Objective: The development of individual subtypes based on biomarkers offers a cost-effective and timely avenue to comprehending individual differences pertaining to mental health, independent from individuals’ subjective insights. Incorporating 2-channel electroencephalography (EEG) and photoplethysmogram (PPG), we sought to establish a subtype classification system with clinical relevance. Methods: One hundred healthy participants and 99 patients with psychiatric disorders were recruited. Classification thresholds were determined using the EEG and PPG data from 2,278 individuals without mental disorders, serving to classify subtypes in our sample of 199 participants. Multivariate analysis of variance was applied to examine psychological distinctions among these subtypes. K-means clustering was employed to verify the classification system. Results: The distribution of subtypes differed between healthy participants and those with psychiatric disorders. Cognitive abilities were contingent upon brain subtypes, while mind subtypes exhibited significant differences in symptom severity, overall health, and cognitive stress. K-means clustering revealed that the results of our theory-based classification and data-driven classification are comparable. The synergistic assessment of both brain and mind subtypes was also explored. Conclusion Our subtype classification system offers a concise means to access individuals’ mental health. The utilization of EEG and PPG signals for subtype classification offers potential for the future of digital mental healthcare.