• 제목/요약/키워드: Heat-Related Illness

검색결과 26건 처리시간 0.026초

기후요소가 온열질환자수에 미치는 영향 (The Effects of Climate Elements on Heat-related Illness in South Korea)

  • 정다은;임숙향;김도우;이우섭
    • 한국기후변화학회지
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    • 제7권2호
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    • pp.205-215
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    • 2016
  • The relationship between the climate and the number of heat-related patients in South Korea was analysed in this study. The number of the patients was 1,612 during the summer 2011 to 2015 according to the Heat-related Illness (HRI) surveillance system. The coefficient of determination between the number of the patients and the daily maximum temperature was higher than that between the number of them and the other elements: the daily mean/minimum temperature and relative humidity. The thresholds of daily maximum and minimum temperature in metropolitan cities (MC) were higher than those in regions except for MC (RMC). The higher the maximum and minimum temperature became, the more frequently the heat-related illness rate was observed. The regional difference of this rate was that the rate in RMC was higher than that in MC. Prolonged heat wave and tropical night tended to cause more patients, which continued for 20 days and 31 days of maximum values, respectively. On the other hand, the relative humidity was not proportional to the number of the patients which was rather decreasing at over 70% of relative humidity.

보건의료빅데이터를 이용한 여름철 일최고기온에 대한 건강위험도 평가 (Health Risk Estimation for Daily Maximum Temperature in the Summer Season using Healthcare Big Data)

  • 황미경;김유근;오인보
    • 한국환경과학회지
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    • 제28권7호
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    • pp.617-627
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    • 2019
  • This study investigated the relationship between heat-related illnesses obtained from healthcare big data and daily maximum temperature observed in seven metropolitan cities in summer during 2013~2015. We found a statistically significant positive correlation (r = 0.4~0.6) between daily maximum temperature and number of the heat-related patients from Pearson's correlation analyses. A time lag effect was not observed. Relative Risk (RR) analysis using the Generalized Additive Model (GAM) showed that the RR of heat-related illness increased with increasing threshold temperature (maximum RR = 1.21). A comparison of the RRs of the seven cities, showed that the values were significantly different by geographical location of the city and had different variations for different threshold temperatures. The RRs for elderly people were clearly higher than those for the all-age group. Especially, a maximum value of 1.83 was calculated at the threshold temperature of $35^{\circ}C$ in Seoul. In addition, relatively higher RRs were found for inland cities (Seoul, Gwangju, Daegu, and Daejeon), which had a high frequency of heat waves. These results demonstrate the significant risk of heat-related illness associated with increasing daily maximum temperature and the difference in adaptation ability to heat wave for each city, which could help improve the heat wave advisory and warning system.

SVM 이용한 다중 생체신호기반 온열질환 감지 스마트 안전모 개발 (Smart Helmet for Vital Sign-Based Heatstroke Detection Using Support Vector Machine)

  • 장재민;이강호;주수빈;권오원;이학;이동규
    • 센서학회지
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    • 제31권6호
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    • pp.433-440
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    • 2022
  • Recently, owing to global warming, average summer temperatures are increasing and the number of hot days is increasing is increasing, which leads to an increase in heat stroke. In particular, outdoor workers directly exposed to the heat are at higher risk of heat stroke; therefore, preventing heat-related illnesses and managing safety have become important. Although various wearable devices have been developed to prevent heat stroke for outdoor workers, applying various sensors to the safety helmets that workers must wear is an excellent alternative. In this study, we developed a smart helmet that measures various vital signs of the wearer such as body temperature, heart rate, and sweat rate; external environmental signals such as temperature and humidity; and movement signals of the wearer such as roll and pitch angles. The smart helmet can acquire the various data by connecting with a smartphone application. Environmental data can check the status of heat wave advisory, and the individual vital signs can monitor the health of workers. In addition, we developed an algorithm that classifies the risk of heat-related illness as normal and abnormal by inputting a set of vital signs of the wearer using a support vector machine technique, which is a machine learning technique that allows for rapid binary classification with high reliability. Furthermore, the classified results suggest that the safety manager can supervise the prevention of heat stroke by receiving feedback from the control system.

옥외 작업에서의 온열환경 평가 및 온열지수 비교 (Evaluation of Heat Stress and Comparison of Heat Stress Indices in Outdoor Work)

  • 김양호;오인보;이지호;김재훈;정인성;임학재;박정근;박정선
    • 한국환경보건학회지
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    • 제42권2호
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    • pp.85-91
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    • 2016
  • Objectives: The objective of this study was to assess heat stress, compare heat stress indices, and evaluate the usefulness of wet bulb globe temperature (WBGT) among outdoor workers exposed to heat during the summer season. Methods: WBGT, dry temperature, and heat index were measured using WBGT measurers (QUESTemp 32 model and QUESTemp 34 model, QUEST, WI, USA) by industrial hygienists from August 27 to September 16, 2015. Heat stress indices were measured at the workplaces of a shipbuilder in Ulsan and a construction site in Daegu. The dry temperature observed by the Automated Synoptic Observing System (ASOS) of the Korea Meteorological Administration was also compared. Results: Dry temperature measured by WBGT is different from that by ASOS. The temperature obtained from ASOS was less than $33^{\circ}C$, above which point a heat wave is forecast by the Korea Meteorological Administration. A heat index above $32.8^{\circ}C$ as a moderate risk was not observed during measurement. WBGT was consistently higher than $22^{\circ}C$, above which the risk of heat-related illness is increased in unacclimated workers involved in work with a high metabolic rate. WBGT was sometimes higher than $28^{\circ}C$, above which the risk of heat-related illness is increased in acclimated workers involved in work with a moderate metabolic rate in September. Conclusion: According to the measurement of heat stress indices, WBGT was more sensitive than heat index and temperature. Thus, general measures to prevent heat-related diseases should be implemented in workplaces during the summer season according to WBGT.

온열질환자 예측을 위한 최적의 지표 분석 (Analysis of Optimal Index for Heat Morbidity)

  • 김상혁;송민주;윤석환;이동근
    • 환경영향평가
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    • 제33권1호
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    • pp.9-17
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    • 2024
  • 본 연구의 목적은 온열질환자를 설명, 예측하기 위한 최적의 폭염 관련 지표를 선정하고 예측하여 실효성을 확인하는 것이다. 2021년부터 2023년까지의 온열질환 응급실감시체계 데이터와 기상청 AWS 데이터를 기반으로 일 평균 기온, 일 최고 기온, 일 평균 WBGT, 일 최고 WBGT 값을 계산하여 회귀분석을 진행하였다. 분석 결과 네 가지 지표 중 일 최고 WBGT가 R2 값 0.81, RMSE 0.98로 가장 적합한 지표로 나타났으며 그 임계값은 29.94도로 나타났다. 전체 분석 기간 중 해당 임계값을 초과하는 날은 총 91일이었으며 이 때 발생한 환자수는 339명으로 나타났다. 일 최고 WBGT의 회귀식을 통해 2021년부터 2023년까지의 온열질환자 수를 예측한 결과 매년 10명 미만의 오차를 보여 정확성이 상당히 높은 것을 확인할 수 있었다. 지속적인 연구를 통해 데이터 및 분석 방법을 고도화한다면, 폭염 피해를 예측 및 저감하는데 도움이 될 수 있을 것이다.

일부 농업인의 고온노출에 대한 실태와 인지도 조사 (Status and Awareness of Excessive Heat Exposure among Agricultural Workers)

  • 이동현;김동섭;정진욱;이관;임현술
    • 농촌의학ㆍ지역보건
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    • 제43권1호
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    • pp.9-17
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    • 2018
  • 농작업 시 고온에 대한 노출 실태를 파악하고, 고온 노출에 대한 인지도를 조사하여 농업인의 고온성질환 예방 방안을 모색하고자 이 연구를 시행하였다. 경주시 일부 농촌 마을을 농작업 중 고온노출 장소로 선정하였다. 여름 동안 총 9회의 환경 측정을 실시하였다. 측정을 통해 열지수와 WBGT를 산출하였고, 이들과 현재 우리나라 기상청에서 폭염 경보 및 주의보의 기준으로 제시하고 있는 일별 최고기온을 비교하였다. 설문조사는 같은 지역 농업인 90명을 대상으로 실시하였다. 설문조사는 일대일 면접조사로 진행되었으며, 설문조사서는 고온 노출 실태, 생활 행태, 병력, 온열질환에 대한 인지도 등에 관한 항목으로 구성하였다. 폭염경보 및 주의보 시 WBGT(Wet Bulb Glove Temperature index)와 열지수의 일치율은 높았으나, 비폭염주의보 시 WBGT가 초과되는 경우가 있었다. 조사대상자는 총 90명이었고, 연령별은 60대 이상이 78명(86.7%)이었다. 작업은 주로 새벽-오전(71.1%)에 하였으며, 하루 야외 작업시간은 4시간 미만(54.4%)이 가장 많았으나, 주기적 휴식을 하는 경우는 23.3%이었다. 온열질환 경험률은 14.4%이었고, 증상으로는 피곤, 무기력, 현기증, 두통, 땀 등의 순이었다. 전반적으로 온열질환 및 폭염주의보에 대한 인지도는 각각 70.0%, 74.4%로 높았다. 정책적으로 폭염주의보 발령 시에는 단순한 기온만 고려할 것이 아니라 WBGT기준과 열지수를 동시에 고려하여야 할 것이다. 농업인에게는 농작업 시 휴식 시간을 주기적, 양적으로 늘려 온열질환을 예방하도록 홍보 및 교육을 하여야 할 것이다.

폭염재난 대응 실시간 관제 플랫폼에 관한 연구 (Study on Real-Time Monitoring Platform for Countermeasures for Heatwave)

  • 정강희;곽창혁
    • 정보처리학회논문지:컴퓨터 및 통신 시스템
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    • 제11권4호
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    • pp.113-118
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    • 2022
  • 지구온난화는 세계적인 기온의 상승과 함께 폭염으로 인한 온열질환의 인명피해도 증가하고 있다. 특히, 주요 온열질환 취약계층은 실외작업자와 고령자이며, 점차 증가하는 폭염 피해에 대응이 필요한 실정이다. 본 연구는 온열질환 취약계층을 대상으로 폭염 피해를 대응하는 방안으로 웨어러블 디바이스로부터 사용자의 활력 징후 데이터의 수집 및 분석을 통해, 온열질환 피해가 예상되는 의심환자에 대한 이벤트를 발생시켜 신속한 대응을 할 수 있는 실시간 관제 플랫폼을 제안한다.

기초자치단체의 폭염으로 인한 온열 및 심뇌혈관질환 부담 (Municipal Disease Burden Attributable to Heat Wave)

  • 이수형;신호성
    • 보건교육건강증진학회지
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    • 제31권4호
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    • pp.51-62
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    • 2014
  • Objectives: The objective of study was to calculate the municipal level environmental burden of disease (EBD) due to heat wave. Methods: The data used were Korea National Health Insurance 2011 claim data and 2011 death registry. Heatwave related diseases included hypertensive heart diseases, ischemic heart diseases, cerebrovascular disease, and heat related illness. According to the method that WHO proposed, the study computed population-attributable fraction with relative risk which come from previous study and proportion of exposure which the study calculated with historical meteorology data. Results: The Average of 251 municipal EBD was 2.11 per thousand persons. The value of years lost due to disability was 11 times higher than that of years of life lost. On average EBD of county and southern geographical areas tended to be higher than those of District or city areas. The relationship between municipal deprivation index (composite deprivation index) and EBD showed the positive association, which means that the worse deprived municipal is, the higher EBD takes. Conclusions: Climate change is getting one of the major risk factors of cardio-cerebrovascular disease, which is the second leading cause of death. The study results suggested the urgent policy planning and reaction of climate change adaptation.

Quantitative risk assessment of foodborne Salmonella illness by estimating cooking effect on eggs from retail markets

  • Hyemin Oh;Yohan Yoon;Jang Won Yoon;Se-Wook Oh;Soomin Lee;Heeyoung Lee
    • Journal of Animal Science and Technology
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    • 제65권5호
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    • pp.1024-1039
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    • 2023
  • In this study, we performed a quantitative microbial risk assessment (QMRA) of Salmonella through intake of egg consumption after cooking (dry-heat, moist-heat, and raw consumption). Egg samples (n = 201) from retail markets were analyzed for the presence of Salmonella. In addition, temperature and time were investigated during egg transit, storage, and display. A predictive model was developed to characterize the kinetic behavior of Salmonella in eggs, and data on egg consumption and frequency were collected. Eventually, the data was simulated to estimate egg-related foodborne illnesses. Salmonella was not found in any of the 201 egg samples. Thus, the estimated initial contamination level was -4.0 Log CFU/g. With R2 values of 0.898 and 0.922, the constructed predictive models were adequate for describing the fate of Salmonella in eggs throughout distribution and storage. Eggs were consumed raw (1.5%, 39.2 g), dry-heated (57.5%, 43.0 g), and moist-heated (41%, 36.1 g). The probability of foodborne Salmonella illness from the consumption of cooked eggs was evaluated to be 6.8×10-10. Additionally, the probability of foodborne illness not applied cooking methods was 1.9×10-7, indicating that Salmonella can be reduced by cooking. Therefore, the risk of Salmonella infection through consumption of eggs after cooking might be low in S. Korea.

2013년 부산지역 폭염사례일의 열쾌적성 평가 (Evaluation of Thermal Environments during the Heat Waves of Summer 2013 in Busan Metropolitan Area)

  • 김영준;김현수;김유근;김진국;김연매
    • 한국환경과학회지
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    • 제23권11호
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    • pp.1929-1941
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    • 2014
  • Now a days, frequency of abnormally high temperatures like heat wave by global warming and climate change is increasing constantly and the number of patient with heat related illness are jumping rapidly. In this study, we chose the case day for the heat wave in Busan area(Busan and Yangsan), 2013 which it was the most hottest year during 21th century. And then, we analysed the weather condition using automatic synoptic observing system(ASOS) data. Also, four indices, heat index(HI), wet bulb globe temperature(WBGT), Man-ENvironment heat EXchange model(MENEX)'s results like Physiological subjective temperature(PST), Physiological strain(PhS), were calculated to evaluate the thermal comfort and stress quantitatively. However, thermal comfort was different as the each station and thermal comfort index during same time. Busan's thermal indices (HI: hot, WBGT: sweltering, PST: very hot, PhS: very hot) indicated relatively higher than Yansan's (HI: very hot, WBGT: sweltering, PST: very hot, PhS: sweltering). It shows that Busan near coast is relatively more comfortable than Yangsan located in inland.