Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
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Molecular epidemiologic trends of norovirus and rotavirus infection and relation with climate factors: Cheonan, Korea, 2010-2019

노로바이러스 및 로타바이러스 감염의 역학 및 기후요인과의 관계: 천안시, 2010-2019

  • Oh, Eun Ju (Department of Medical Laser Cooperative Curriculum, Dankook University Graduate School of Medicine) ;
  • Kim, Jang Mook (Department of Health Administration, Dankook University College of Health Sciences) ;
  • Kim, Jae Kyung (Department of Biomedical Laboratory Science, Dankook University College of Health Sciences)
  • 오은주 (단국대학교 의과대학 의학레이저협동과정 대학원) ;
  • 김장묵 (단국대학교 보건복지대학 보건행정학과) ;
  • 김재경 (단국대학교 보건복지대학 임상병리학과)
  • Received : 2020.10.25
  • Accepted : 2020.12.20
  • Published : 2020.12.28
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Abstract

Background: Viral infection outbreaks are emerging public health concerns. They often exhibit seasonal patterns that could be predicted by the application of big data and bioinformatic analyses. Purpose: The purpose of this study was to identify trends in diarrhea-causing viruses such as rotavirus (Gr.A), norovirus G-I, and norovirus G-II in Cheonan, Korea. The identified related factors of diarrhea-causing viruses may be used to predict their trend and prevent their infections. Method: A retrospective analysis of 4,009 fecal samples from June 2010 to December 2019 was carried out at Dankook University Hospital in Cheonan. Reverse transcription-PCR (RT-PCR) was employed to identify virus strains. Information about seasonal patterns of infection was extracted and compared with local weather data. Results: Out of the 4,009 fecal samples tested using multiplex RT-PCR (mRT-PCR), 985 were positive for infection with Gr.A, G-I, and G-II. Out of these 985 cases, 95.3% (n = 939) were under 10 years of age. Gr.A, G-I, and G-II showed high infection rates in patients under 10 years of age. Student's t-test showed a significant correlation between the detection rate of Gr.A and the relative humidity. The detection rate of G-II significantly correlated with wind-chill temperature. Conclusion: Climate factors differentially modulate rotavirus and norovirus infection patterns. These observations provide novel insights into the seasonal impact on the pathogenesis of Gr.A, G-I, and G-II.

바이러스감염으로 인한 설사는 전 세계적으로 공중 보건의 주요 문제이며 사망률의 큰 부분을 차지하고 있지만 기후데이터를 이용하여 분석한 연구는 많지 않다. 따라서 본 연구는 설사를 유발하는 바이러스인 Rotavirus Gr.A, Norovirus G-I & GII의 감염과 기후와의 인과관계를 분석하여 조기진단과 치료를 용이하게 하고 계절성 질환을 더욱 관리하고 예방하는데 기여하고자 하였다. 2010년 6월부터 2019년 12월까지 단국대학교 병원에서 시행한 대변 시료 4,009개의 설사바이러스 6종의 멀티플렉스 역전사 PCR(mRT-PCR)검사결과와 다양한 기후 요인 중 체감온도, 상대습도, 일조율과의 상관관계를 후향적으로 분석하였다. 4,009 개의 대변 샘플 중 985 개는 Rotavirus Gr.A, Norovirus G-I & GII 감염에 대해 양성이었다. 이 985 건 중 95.3 % (n = 939)는 10 세 미만으로 Rotavirus Gr.A, Norovirus G-I & GII는 10 세 미만 환자에서 높은 감염률을 보였다. 우리는 기상 빅데이터와 연령, 시기별 감염분석 등에 기초하여 Rotavirus Gr.A의 감염이 상대 습도에 따라 유의한 상관 관계가 있음을 확인하였고 Norovirus G-II의 감염은 체감 온도와 유의한 상관 관계가 있음을 확인하였다. 본 연구는 기후요인에 따른 Rotavirus Gr.A, Norovirus G-I & GII 감염의 분포에 대한 이해도를 향상시킴으로써 바이러스성 설사질환과 관련된 보건정책의 설정이나 계절적 영향에 대한 새로운 통찰력을 제공하는데 유용한 자료가 될 것으로 기대한다.

Keywords

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