A Systematic Review of Spatial and Spatio-temporal Analyses in Public Health Research in Korea.
A Systematic Review of Spatial and Spatio-temporal Analyses in Public Health Research in Korea.
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韩国公共卫生研究时空分析的系统回顾。
DOI：
10.3961/jpmph.21.160
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发表时间：
2021-09
期刊：
影响因子：
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通讯作者：
Hwang SS
中科院分区：
文献类型：
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作者：
Byun HG;Lee N;Hwang SS
尽管它的优点，它还没有在韩国的研究人员使用时空分析调查疾病协会的普遍做法。在这项研究中，我们的目的是审查与健康相关的流行病学研究使用时空分析，并观察方法的趋势。使用2个国际数据库（PubMed和Embase）和4个韩国学术数据库（KoreaMed，NDSL，DBpia和RISS）确定了应用空间或时空方法的健康相关研究。两名审查员提取数据以审查纳入的研究。对相关关键词的检索得到了5919项研究。在最初发现的研究中，150项最终根据合格标准纳入。从研究主题来看，确定了5大类11个子类：慢性病（n=31，20.7%）、传染病（n=27，18.0%）、健康相关主题（包括服务利用、公平性和行为）（n=47，31.3%）、精神健康（n=15，10.0%）和癌症（n=7，4.7%）。与2000年至2010年期间相比，2011年至2020年期间发表的更多研究使用了两种或两种以上的空间分析技术（占纳入研究的35.6%），关于映射的研究数量增加了6倍。需要进一步利用点数据进行时空分析相关研究，以提供见解和证据，支持利用空间技术进步预防和控制传染病和慢性病的政策决策。
Despite its advantages, it is not yet common practice in Korea for researchers to investigate disease associations using spatio-temporal analyses. In this study, we aimed to review health-related epidemiological research using spatio-temporal analyses and to observe methodological trends. Health-related studies that applied spatial or spatio-temporal methods were identified using 2 international databases (PubMed and Embase) and 4 Korean academic databases (KoreaMed, NDSL, DBpia, and RISS). Two reviewers extracted data to review the included studies. A search for relevant keywords yielded 5919 studies. Of the studies that were initially found, 150 were ultimately included based on the eligibility criteria. In terms of the research topic, 5 categories with 11 subcategories were identified: chronic diseases (n=31, 20.7%), infectious diseases (n=27, 18.0%), health-related topics (including service utilization, equity, and behavior) (n=47, 31.3%), mental health (n=15, 10.0%), and cancer (n=7, 4.7%). Compared to the period between 2000 and 2010, more studies published between 2011 and 2020 were found to use 2 or more spatial analysis techniques (35.6% of included studies), and the number of studies on mapping increased 6-fold. Further spatio-temporal analysis-related studies with point data are needed to provide insights and evidence to support policy decision-making for the prevention and control of infectious and chronic diseases using advances in spatial techniques.