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    초등학교 통학거리 내 근린생활시설에서의 감염병 확산 분석 모델에 관한 연구 = A Communicable Disease Spread Model in Neighborhood-convenience Facilities within Elementary-school Commuting Zone

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    https://www.riss.kr/link?id=A108767102

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    The purpose of this study is to propose a model that analyze the architectural characteristics of neighborhood-convenience facilities around schools, which are vulnerable to infections, and their relevance to the spread of communicable diseases. This model aims to provide a foundation for making decisions on concentrating sanitation resources to prevent the inflow of communicable diseases and the occurrence of group infections in the vicinity of elementary schools.
    In order to understand the impact of neighborhood-convenience facilities located within a 1,500m commuting distance from elementary schools on the spread of communicable diseases, this study analyzes the architectural characteristics of local facilities and their relevance to the spread of communicable diseases. It proposes a communicable disease spread analysis model that utilizes GIS (Geographic Information System) and correlation analysis to identify vulnerable architectural characteristics and spatial scope related to infections.
    The results of applying the analysis model proposed in this study to analyze the correlation between neighborhood-convenience facilities around elementary schools and the spread of communicable diseases showed a positive correlation between the number of buildings, building area, total floor area, land area, height, building coverage ratio, and floor area ratio of neighborhood-convenience facilities within the Elementary-school Commuting Zone in the target administrative district. However, the spatial scope and trends of the maximum correlation coefficient for each administrative district varied, indicating differences in patterns among the target districts.
    The results of this study are as follows: First, the study proposed a correlation analysis model between the architectural characteristics of neighborhood-convenience facilities within the commuting distance of elementary schools and the spread of communicable diseases. Second, the results of applying the analysis model showed a positive correlation between the architectural characteristic variables of neighborhood-convenience facilities and the spread of communicable diseases. Third, there were differences in the spatial scope and trends of the maximum correlation coefficient among the analyzed administrative districts. The analysis model presented in this study provides a foundation for selecting architectural characteristics and spatial scope in each administrative district to concentrate sanitation resources.
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    The purpose of this study is to propose a model that analyze the architectural characteristics of neighborhood-convenience facilities around schools, which are vulnerable to infections, and their relevance to the spread of communicable diseases. This ...

    The purpose of this study is to propose a model that analyze the architectural characteristics of neighborhood-convenience facilities around schools, which are vulnerable to infections, and their relevance to the spread of communicable diseases. This model aims to provide a foundation for making decisions on concentrating sanitation resources to prevent the inflow of communicable diseases and the occurrence of group infections in the vicinity of elementary schools.
    In order to understand the impact of neighborhood-convenience facilities located within a 1,500m commuting distance from elementary schools on the spread of communicable diseases, this study analyzes the architectural characteristics of local facilities and their relevance to the spread of communicable diseases. It proposes a communicable disease spread analysis model that utilizes GIS (Geographic Information System) and correlation analysis to identify vulnerable architectural characteristics and spatial scope related to infections.
    The results of applying the analysis model proposed in this study to analyze the correlation between neighborhood-convenience facilities around elementary schools and the spread of communicable diseases showed a positive correlation between the number of buildings, building area, total floor area, land area, height, building coverage ratio, and floor area ratio of neighborhood-convenience facilities within the Elementary-school Commuting Zone in the target administrative district. However, the spatial scope and trends of the maximum correlation coefficient for each administrative district varied, indicating differences in patterns among the target districts.
    The results of this study are as follows: First, the study proposed a correlation analysis model between the architectural characteristics of neighborhood-convenience facilities within the commuting distance of elementary schools and the spread of communicable diseases. Second, the results of applying the analysis model showed a positive correlation between the architectural characteristic variables of neighborhood-convenience facilities and the spread of communicable diseases. Third, there were differences in the spatial scope and trends of the maximum correlation coefficient among the analyzed administrative districts. The analysis model presented in this study provides a foundation for selecting architectural characteristics and spatial scope in each administrative district to concentrate sanitation resources.

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    참고문헌 (Reference)

    1 김진아, "태권도장에서 발생한코로나19 유행 역학조사 결과" 질병관리청 2021

    2 허중연, "코로나바이러스감염병-19 초기 유행의 임상 역학적 특성" 대한내과학회 95 (95): 67-73, 2020

    3 "코로나19 주간 정례브리핑" 서울특별시교육청

    4 질병관리청, "코로나19 국내 발생 및 예방접종 현황, 보도자료"

    5 장진화, "코로나19 국내 18세 이하 연령대별 환자발생특징 및 주요 감염경로" 질병관리청 2021

    6 김승리, "주거지 내 근린생활시설 업종 특성과 접근성에 따른 사회적 효과" 서울대학교 2021

    7 교육부, "유초중등 및 특수학교 코로나19 감염예방 관리 안내 제7판, 보도자료"

    8 이진희 ; 박민숙 ; 이상원, "수도권 지역 코로나바이러스감염증-19 발생 시기별 감염경로 다이나믹스" 한국보건사회연구원 41 (41): 7-26, 2021

    9 최수한 ; 김한울 ; 강지만 ; 김동현 ; 조은영, "소아청소년 코로나바이러스감염증-19: 역학과 임상 양상" 대한소아감염학회 27 (27): 11-23, 2020

    10 "백신 사각지대 '0∼11세'…새로운 전파 원인 우려" 의협신문

    1 김진아, "태권도장에서 발생한코로나19 유행 역학조사 결과" 질병관리청 2021

    2 허중연, "코로나바이러스감염병-19 초기 유행의 임상 역학적 특성" 대한내과학회 95 (95): 67-73, 2020

    3 "코로나19 주간 정례브리핑" 서울특별시교육청

    4 질병관리청, "코로나19 국내 발생 및 예방접종 현황, 보도자료"

    5 장진화, "코로나19 국내 18세 이하 연령대별 환자발생특징 및 주요 감염경로" 질병관리청 2021

    6 김승리, "주거지 내 근린생활시설 업종 특성과 접근성에 따른 사회적 효과" 서울대학교 2021

    7 교육부, "유초중등 및 특수학교 코로나19 감염예방 관리 안내 제7판, 보도자료"

    8 이진희 ; 박민숙 ; 이상원, "수도권 지역 코로나바이러스감염증-19 발생 시기별 감염경로 다이나믹스" 한국보건사회연구원 41 (41): 7-26, 2021

    9 최수한 ; 김한울 ; 강지만 ; 김동현 ; 조은영, "소아청소년 코로나바이러스감염증-19: 역학과 임상 양상" 대한소아감염학회 27 (27): 11-23, 2020

    10 "백신 사각지대 '0∼11세'…새로운 전파 원인 우려" 의협신문

    11 오정현, "도내 코로나19 학교관련 집단사례 현황 및 특성" 경기도감염병관리지원단 2022

    12 차성은 ; 조정선 ; 조정은 ; 이우균 ; 김대철, "국내 COVID-19의 공간분포특성 분석" 대한공간정보학회 29 (29): 17-25, 2021

    13 "걱정했던 ‘개학 감염’ 현실로… 서울 확진 학생 2주 새 5배 급증" 서울신문

    14 이제선, "감염병에 대응하는 학교시설 기준 수립 연구보고서" 서울특별시북부교육지원청 2021

    15 김태우 ; 권지훈, "감염병 확진자의 이동경로와 도시의 물리적 환경 특성 간 관련성 연구" 대한건축학회지회연합회 23 (23): 21-28, 2021

    16 이송주, "감염병 확진자 소재지와 방문지의 공간적 특성" 동아대학교 2022

    17 서원영 ; 이경훈, "감염병 확산으로부터 안전한 초등학교 디자인 제안을 위한 탐색적 연구" 한국생태환경건축학회 21 (21): 25-34, 2021

    18 김은정, "감염병 예방을 위한 초등학교 계획방안에 대한 연구" 창원대학교 2022

    19 Teller, J., "Urban density and Covid-19 : towards an adaptive approach" 2 (2): 2021

    20 Cortez, R. M., "The Coronavirus crisis in B2B settings : Crisis uniqueness and managerial implications based on social exchange theory" 88 : 125-135, 2020

    21 Kang, D., "Spatial epidemic dynamics of the COVID-19outbreak in China" 94 : 96-102, 2020

    22 Kwok, C. Y. T., "Spatial analysis of the impact of urban geometry and socio-demographic characteristics on COVID-19, a study in Hong Kong" 764 : 144455-, 2021

    23 Saraswathi, S., "Social network analysis of COVID-19 transmission in Karnataka" 148 : e230-, 2020

    24 Lai, C. C., "Severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)and coronavirus disease-2019(COVID-19) : The epidemic and the challenges" 55 (55): 105924-, 2020

    25 World Health Organization, "Mental health and psychosocial considerations during the COVID-19 outbreak, 18 March 2020 (No. WHO/2019-nCoV/MentalHealth/2020.1)"

    26 Adler, P., "Mega regions and pandemics" 111 (111): 465-481, 2020

    27 서현승, "Innovative Urban Planning in Spatial of City under COVID-19 Pandemic" 서울대학교 2021

    28 Bhadra, A., "Impact of population density on Covid-19 infected and mortality rate in India" 7 : 623-629, 2021

    29 Hamidi, S., "Does density aggravate the COVID-19 pandemic? Early findings and lessons for planners" 86 (86): 495-509, 2020

    30 Federgruen, A., "Crowding effects dominate demographic attributes in COVID-19cases" 102 : 509-516, 2021

    31 박현준, "COVID-19 확진자 이동경로의 특성과 시사점: 한국 경기도를 중심으로" 3 (3): 67-95, 2020

    32 Vaterlaus, J. M., "COVID-19 pandemic and social distancing in the United States: A mixed-methods study on lived experiences and well-being" 1-13, 2021

    33 Zhou, C., "COVID-19 : challenges to GIS with big data" 1 (1): 77-87, 2020

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