Lee Jeongwook, Lee SangA
Graduate School of Public Administration, Seoul National University, Seoul 08826, Republic of Korea.
Manning College of Nursing and Health Sciences, University of Massachusetts Boston, Boston, MA 02125, USA.
Healthcare (Basel). 2024 Jul 26;12(15):1484. doi: 10.3390/healthcare12151484.
Infectious disease outbreaks present ongoing and substantial challenges to health systems at local, national, and global levels, testing their preparedness, response capabilities, and resilience. This study aimed to identify and analyze critical health system-level factors that influence infection outbreaks, focusing on the experience of the COVID-19 pandemic in Korea. Conducted as a secondary data analysis, this study utilized national datasets from Korea. Given the inherent spatial dependencies in the spread of infectious diseases, we employed a spatial lag model to analyze data. While city-specific characteristics did not emerge as significant factors, health system variables, particularly the number of community health centers and health budgets, showed significant influence on the course of the COVID-19 outbreak, along with spatial autocorrelation coefficients. Our findings underscore the importance of enhancing public healthcare infrastructure, considering regional specificities, and promoting collaboration among local governments to bolster preparedness for future outbreaks. These insights are crucial for policymakers and healthcare professionals in formulating effective strategies to prevent, manage, and mitigate the impact of infectious disease outbreaks.
传染病爆发给地方、国家和全球层面的卫生系统带来了持续且重大的挑战，考验着它们的防范能力、应对能力和恢复能力。本研究旨在识别和分析影响感染爆发的关键卫生系统层面因素，重点关注韩国新冠疫情的情况。作为二次数据分析开展的本研究，使用了来自韩国的国家数据集。鉴于传染病传播中固有的空间依赖性，我们采用空间滞后模型来分析数据。虽然特定城市的特征未成为显著因素，但卫生系统变量，尤其是社区卫生中心数量和卫生预算，与空间自相关系数一起，对新冠疫情的发展进程显示出显著影响。我们的研究结果强调了加强公共医疗基础设施、考虑地区特殊性以及促进地方政府间合作以增强未来疫情防范能力的重要性。这些见解对于政策制定者和医疗专业人员制定预防、管理和减轻传染病爆发影响的有效策略至关重要。
