• Title/Summary/Keyword: 질병(疾病)

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Effects of Granting Wish to Children with Life-threatening Conditions on Adjustment to Disease with a Focus on the Mediating Effects of Resilience and Stress Caused by Diseases (소원성취 프로그램이 소아암 및 난치병 환아들의 질병 적응에 미치는 영향: 레질리언스와 질병 스트레스의 매개효과를 중심으로)

  • Lee, Kwang Jae;Choi, Kyung Il
    • Journal of Hospice and Palliative Care
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    • v.18 no.2
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    • pp.148-155
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    • 2015

  • Purpose: The purpose of this study is to examine how wish granting influences children with life-threatening medical conditions when it comes to their adaptation to disease with a focus on the mediating effect of resilience and stress caused by disease. Methods: From January 2, 2015 through January 12, 2015, a survey was conducted on 292 children with life-threatening diseases whose wishes were granted through Make-A-Wish Korea. The data were collected using the impact of a wish scale, the Children's Adjustment to Cancer Inventory, the Childhood Cancer Stressor Inventory, and the resilience scale in children with chronic illness. The data were analyzed using SPSS/WIN 20.0 and Amos 21.0. Results: Satisfaction with the wish granting program enhances resilience, and resilience affects stress caused by medical conditions as well as adaptation to disease. Also, stress caused by medical conditions influences adaptation to disease. Conclusion: Wish granting is effective in both facilitating chronically ill children to adjust to disease and reduce their stress from disease. Thus, children with life-threatening medical conditions could be assisted or motivated to adjust to disease by improving satisfaction achieved by wish granting.

  • https://doi.org/10.14475/kjhpc.2015.18.2.148 인용 PDF KSCI

A study of epidemic model using SEIR model (SEIR 모형을 이용한 전염병 모형 예측 연구)

  • Do, Mijin;Kim, Jongtae;Choi, Boseung
    • Journal of the Korean Data and Information Science Society
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    • v.28 no.2
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    • pp.297-307
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    • 2017

  • The epidemic model is used to model the spread of disease and to control the disease. In this research, we utilize SEIR model which is one of applications the SIR model that incorporates Exposed step to the model. The SEIR model assumes that a people in the susceptible contacted infected moves to the exposed period. After staying in the period, the infectee tends to sequentially proceed to the status of infected, recovered, and removed. This type of infection can be used for research in cases where there is a latency period after infectious disease. In this research, we collected respiratory infectious disease data for the Middle East Respiratory Syndrome Coronavirus (MERSCoV). Assuming that the spread of disease follows a stochastic process rather than a deterministic one, we utilized the Poisson process for the variation of infection and applied epidemic model to the stochastic chemical reaction model. Using observed pandemic data, we estimated three parameters in the SIER model; exposed rate, transmission rate, and recovery rate. After estimating the model, we applied the fitted model to the explanation of spread disease. Additionally, we include a process for generating the Exposed trajectory during the model estimation process due to the lack of the information of exact trajectory of Exposed.

  • https://doi.org/10.7465/jkdi.2017.28.2.297 인용 PDF KSCI