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Microbiology and Biotechnology Letters

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Molecular and Cellular Microbiology  |  Host-Microbe Interaction and Pathogenesis

J. Microbiol. Biotechnol.

Received: October 22, 2020; Revised: January 14, 2021

Human mastadenovirus infections and meteorological factors in Cheonan, Korea

Eunju Oh 1, Joowon Park 2 and Jae Kyung Kim 3*

1Dankook University , 2Dankook University , 3Dankook University

Correspondence to :
Jae Kyung Kim, Department of Medical Laser Cooperative Curriculum, Dankook University Graduate School of Medicine, 119, Dandae-ro, Dongnam-gu, Cheonan-si, Chungnam, South Korea [31116]
Tel : +821064040015, Fax : +82 41 559 7934, E-mail : nerowolf@naver.com

Abstract

The study of the impact of weather on viral respiratory infections enables the assignment of causality to disease outbreaks caused by climatic factors. A better understanding of the seasonal distribution of viruses may facilitate developing potential treatment approaches and effective preventive strategies for respiratory viral infections. The incidence of human mastadenovirus infection was analyzed via real-time reverse transcription-PCR in 9,010 test samples obtained from Cheonan, South Korea, and weather data were simultaneously collected from January 1, 2012, to December 31, 2018. Data on the frequency of infection were used to detect seasonal patterns of human mastadenovirus prevalence, which were directly compared with local weather data over the same period. Descriptive statistical analysis, frequency analysis, t-test, and binomial logistic regression analysis were performed to examine the relationship among weather, particulate matter, and human mastadenovirus infections. Patients under 10 years of age showed the highest mastadenovirus infection rates (89.78%) at an average monthly temperature of 18.2°C. Additionally, human mastadenovirus infection was negatively related to temperature, wind chill, and air pressure. The obtained results indicated that climatic factors affect the rate of human mastadenovirus infection. Therefore, it may be possible to predict when preventive strategies will be most effective.

Keywords: climate, mastadenovirus, respiratory viruses, infection, particulate matter, weather

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