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Lee Naae,Jung Seungpil,Ro Young Sun,Park Jeong Ho,Hwang Seung-sik 대한의학회 2024 Journal of Korean medical science Vol.39 No.9
Background: Out-of-hospital cardiac arrest is a major public health concern in Korea. Identifying spatiotemporal patterns of out-of-hospital cardiac arrest incidence and survival outcomes is crucial for effective resource allocation and targeted interventions. Thus, this study aimed to investigate the spatiotemporal epidemiology of out-of-hospital cardiac arrest in Korea, with a focus on identifying high-risk areas and populations and examining factors associated with prehospital outcomes. Methods: We conducted this population-based observational study using data from the Korean out-of-hospital cardiac arrest registry from January 2009 to December 2021. Using a Bayesian spatiotemporal model based on the Integrated Nested Laplace Approximation, we calculated the standardized incidence ratio and assessed the relative risk to compare the spatial and temporal distributions over time. The primary outcome was out-ofhospital cardiac arrest incidence, and the secondary outcomes included prehospital return of spontaneous circulation, survival to hospital admission and discharge, and good neurological outcomes. Results: Although the number of cases increased over time, the spatiotemporal analysis exhibited a discernible temporal pattern in the standardized incidence ratio of out-ofhospital cardiac arrest with a gradual decline over time (1.07; 95% credible interval [CrI], 1.04–1.09 in 2009 vs. 1.00; 95% CrI, 0.98–1.03 in 2021). The district-specific risk ratios of survival outcomes were more favorable in the metropolitan and major metropolitan areas. In particular, the neurological outcomes were significantly improved from relative risk 0.35 (0.31–0.39) in 2009 to 1.75 (1.65–1.86) in 2021. Conclusion: This study emphasized the significance of small-area analyses in identifying high-risk regions and populations using spatiotemporal analyses. These findings have implications for public health planning efforts to alleviate the burden of out-of-hospital cardiac arrest in Korea.
Yeonghwa So(소영화),Naae Lee(이나애),Seyeon Kim(김세연),Youngji Lee(이영지),Chimedsuren Ochir,Kiyoung Lee(이기영) 서울대학교 보건환경연구소 2018 보건학논집 Vol.55 No.2
Objectives: The population in Ulaanbaatar has been increasing, especially in the ger districts. Heavy reliance on coal for indoor heating and cooking amongst the ger residents contributed significantly to air pollution resulting in various health issues. Therefore, the purpose of this study was to analyze the health determinants influency by lifestyle and living environment of ger district residents. Methods: Information about socioeconomic factors, behavioral patterns, and stove types were collected in 36 gers both in 2016 and 2018. The dataset was analyzed for their characteristics. Results: The family structure of the observed ger residents had a positive impact on child and elderly care, and there were both positive and negative aspects on ger residents’ health behavior. Perception on indoor air pollution seemed to have an impact on related health behaviors and issues. Dietary pattern was irregular and unbalanced where high consumption of meat amongst the ger residents was common. Our results indicated that household income was not associated with the types of stove used. The choice of ventilation and cooking on the stove did not increase the amount of fuel use significantly. Conclusion: Additional effort is required to reduce the severity of indoor air pollution and related health behaviors of ger residents which contribute to indoor air pollution.
권나애(Naae Kwon),최윤선(Yunseon Choi),유연경(Yeonkyung Yoo),이병한(Byunghan Lee) 대한전자공학회 2023 대한전자공학회 학술대회 Vol.2023 No.11
A Spiking Neural Network (SNN) emulates the brains neuron behavior, processing information through discrete electrical events called spikes. These spikes occur when neuron activity surpasses a threshold, which are crucial for transmitting information. SNNs excel at processing temporal data by leveraging spike timing. This research explores recent trends in spike encoding methods for analog time-series data, offering insights into the performance and suitability of various techniques for handling time-related information.
서식지 등가성 분석을 이용한 연안의 대체서식지규모 산정
박나애(Naae Park),이석모(Suk Mo Lee) 한국생태공학회 2016 한국생태공학회지 Vol.5 No.1
The preservation of the coastal resources and environment is emerging as a large concern worldwide since the coastal zone have been damaged from ongoing national land development and natural disaster lately. South Korea has very well developed coastal zone, which is a region where interaction of the sea and land processes occurs. Therefore, coast improvement projects, which aims to preserve domestic coastal health, including coast preservation project and waterfront renovation project are being enforced. However, the act on the restoration of the coastal habitat is absent. In the United States, Japan, and Europe, the act on the creation of the replacement habitat is enacted to prevent further loss of coastal habitats. This study introduces a way of determining the scale of replacement habitat creation for coastal habitat restoration by using the habitat equivalency analysis. This study also calculate the scale of the replacement habitat based on domestic site using Visual_HEA. As a result, creating replacement habitat of the eelgrass habitat in Koje Bay, where the eelgrass was damaged by road construction, depends on the types of restoration. In case of off-site restoration, 1.729 km² of replacement habitat is needed, which is about 106percent of the injured area. In case of on-site restoration, 0.075 km² of additional replacement habitat is needed, which is about 4.6percent of the injured area. These results can suggest quantitative restoration scale to prevent further loss of coastal habitats and also can be used as the basis to determine the policies for efficient use and preservation of the natural resources.
A Systematic Review of Spatial and Spatio-temporal Analyses in Public Health Research in Korea
Byun, Han Geul,Lee, Naae,Hwang, Seung-sik The Korean Society for Preventive Medicine 2021 Journal of Preventive Medicine and Public Health Vol.54 No.5
Objectives: 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. Methods: 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. Results: 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. Conclusions: 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.