Journal of the Korean Data and Information Science Society

The Korean Data and Information Science Society (한국데이터정보과학회)
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Case study: Selection of the weather variables influencing the number of pneumonia patients in Daegu Fatima Hospital

사례연구: 대구 파티마 병원 폐렴 입원 환자 수에 영향을 미치는 날씨 변수 선택

  • Choi, Sohyun (Medical Research Collaborating Center, Seoul National University Hospital) ;
  • Lee, Hag Lae (Data Management, Korea Statistical Information Institute) ;
  • Park, Chungun (Department of Mathematics, Kyonggi University) ;
  • Lee, Kyeong Eun (Department of Statistics, Kyungpook National University)
  • Received : 2016.12.29
  • Accepted : 2017.01.18
  • Published : 2017.01.31
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Abstract

The number of hospital admissions for pneumonia tends to increase annually and even more, pneumonia, the fifth leading causes of death among elder adults, is one of top diseases in terms of hospitalization rate. Although mainly bacteria and viruses cause pneumonia, the weather is also related to the occurrence of pneumonia. The candidate weather variables are humidity, amount of sunshine, diurnal temperature range, daily mean temperatures and density of particles. Due to the delayed occurrence of pneumonia, lagged weather variables are also considered. Additionally, year effects, holiday effects and seasonal effects are considered. We select the related variables that influence the occurrence of pneumonia using penalized generalized linear models.

매년 폐렴 입원 환자 수는 증가하는 추세이며, 국내 질환 중 입원율 1위이기도 하다. 주로 박테리아와 바이러스가 주된 원인인 폐렴은 날씨의 영향을 받기도 한다. 본 연구에서는 날씨 변수로는 습도, 일조량, 일교차, 평균온도, 미세먼지 농도를 각각 1일 전부터 27일 전까지의 총 135개 변수를 고려하였다. 날씨와 입원 환자 수에 잠재적으로 영향을 미치는 위험 요인으로 연도 효과, 휴일 효과, 계절 효과를 추가적으로 고려하였다. 벌점화 일반화 선형 모형을 이용하여 폐렴 입원 환자 수와 관련된 변수를 선택하였다.

Keywords

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