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Climate and Human coronaviruses 229E and Human coronaviruses OC43 Infections: Respiratory Viral Infections Prevalence in Hospitalized Children in Cheonan, Korea

Journal of Microbiology and Biotechnology 2020년 30권 10호 p.1495 ~ 1499
김장묵, 전재식, 김재경,
소속 상세정보
김장묵 ( Kim Jang-Mook ) - Dankook University College of Health Science Department of Health Administration
전재식 ( Jeon Jae-Sik ) - Dankook University College of Health Sciences Department of Biomedical Laboratory Science
김재경 ( Kim Jae-Kyung ) - Dankook University College of Health Sciences Department of Biomedical Laboratory Science

Abstract


The study of climate and respiratory viral infections using big data may enable the recognition and interpretation of relationships between disease occurrence and climatic variables. In this study, realtime reverse transcription quantitative PCR (qPCR) methods were used to identify Human respiratory coronaviruses (HCoV). infections in patients below 10 years of age with respiratory infections who visited Dankook University Hospital in Cheonan, South Korea, from January 1, 2012, to December 31, 2018. Out of the 9010 patients who underwent respiratory virus real-time reverse transcription qPCR test, 364 tested positive for HCoV infections. Among these 364 patients, 72.8% (n = 265) were below 10 years of age. Data regarding the frequency of infections was used to uncover the seasonal pattern of the two viral strains, which was then compared with local meteorological data for the same time period. HCoV-229E and HCoV-OC43 showed high infection rates in patients below 10 years of age. There was a negative relationship between HCoV-229E and HCoV-OC43 infections with air temperature and wind-chill temperatures. Both HCoV-229E and HCoV-OC43 rates of infection were positively related to atmospheric pressure, while HCoV-229E was also positively associated with particulate matter concentrations. Our results suggest that climatic variables affect the rate in which children below 10 years of age are infected with HCoV. These findings may help to predict when prevention strategies may be most effective.

키워드

Climate; HCoV-229E; HCoV-OC43; seasonal respiratory viruses; pediatric illness

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