• Title/Summary/Keyword: 일반화선형 모형

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High-Risk Area for Human Infection with Avian Influenza Based on Novel Risk Assessment Matrix (위험 매트릭스(Risk Matrix)를 활용한 조류인플루엔자 인체감염증 위험지역 평가)

  • Sung-dae Park;Dae-sung Yoo
    • Korean Journal of Poultry Science
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    • v.50 no.1
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    • pp.41-50
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    • 2023
  • Over the last decade, avian influenza (AI) has been considered an emerging disease that would become the next pandemic, particularly in countries like South Korea, with continuous animal outbreaks. In this situation, risk assessment is highly needed to prevent and prepare for human infection with AI. Thus, we developed the risk assessment matrix for a high-risk area of human infection with AI in South Korea based on the notion that risk is the multiplication of hazards with vulnerability. This matrix consisted of highly pathogenic avian influenza (HPAI) in poultry farms and the number of poultry-associated production facilities assumed as hazards of avian influenza and vulnerability, respectively. The average number of HPAI in poultry farms at the 229-municipal level as the hazard axis of the matrix was predicted using a negative binomial regression with nationwide outbreaks data from 2003 to 2018. The two components of the matrix were classified into five groups using the K-means clustering algorithm and multiplied, consequently producing the area-specific risk level of human infection. As a result, Naju-si, Jeongeup-si, and Namwon-si were categorized as high-risk areas for human infection with AI. These findings would contribute to designing the policies for human infection to minimize socio-economic damages.

Changes in Mental Health Status of Patients in the Community Treatment Center during the Quarantine Period (생활치료센터 환자의 격리 치료 기간 중 정신건강 상태 변화)

  • Jeong-Wook Seo;Jeonga Yoo;Jin-Yong Jun;Jiho Lee
    • Health Policy and Management
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    • v.34 no.3
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    • pp.293-308
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    • 2024
  • Background: Assessing the change in mental health status of quarantined patients in community treatment centers at the time of admission and discharge, and inferring the influencing factors. Methods: The study was conducted on a sample of 1,941 quarantined patients from three community treatment centers. Changes in anxiety, psychological distress, post-traumatic stress, depression, and self-harm ideation between admission and discharge were categorized as either "improved" or "worsened." Inference was performed to determine the probability of worsening in mental health status. Results: The mental health status of quarantined patients, such as anxiety and depression, was relatively higher than that of the general population. Anxiety (84.3% improved) and psychological distress (79.0% improved) were reduced during quarantine treatment. However, some patients continued to experience moderate to severe levels of anxiety (11.2%) and psychological distress (11.0%) at discharge. As for depression, the depression of moderate or higher level was increased at the time of discharge (28.7%→36.7%) compared to admission. The deterioration of anxiety and psychological distress was found to be the most significant factor influencing the worsening of depression at discharge (odds ratio [OR] for anxiety deterioration, 2.04; OR for psychological distress deterioration, 3.56). These effects were also observed similarly in post-traumatic stress and self-injury ideation. Conclusion: Improving anxiety and psychological distress among quarantined patients in community treatment centers can reduce the worsening of post-traumatic stress, depression, and self-injury ideation at the time of discharge. These findings provide evidence for the need for active mental health management from the initial stages of quarantine treatment.