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Microbiology and Biotechnology Letters

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Molecular and Cellular Microbiology (MCM)  |  Host-Microbe Interaction and Pathogenesis

Microbiol. Biotechnol. Lett. 2021; 49(3): 425-431

https://doi.org/10.48022/mbl.2011.11003

Received: November 17, 2020; Revised: February 14, 2021; Accepted: February 24, 2021

Climate Factors and Their Effects on the Prevalence of Rhinovirus Infection in Cheonan, Korea

Dong Kyu Lim1†, Bo Kyeung Jung2†, and Jae Kyung Kim3*
These authors contributed equally to this work.

1Department of Medical Laser, Dankook University Graduate School of Medicine, Cheonan 31116, Republic of Korea 2Department of Laboratory Medicine, Dankook University College of Medicine, Cheonan 31116, Republic of Korea 3Department of Biomedical Laboratory Science, College of Health Sciences, Dankook University, Cheonan 31116, Republic of Korea

Correspondence to :
Jae Kyung Kim,    nerowolf@naver.com

The use of big data may facilitate the recognition and interpretation of causal relationships between disease occurrence and climatic variables. Considering the immense contribution of rhinoviruses in causing respiratory infections, in this study, we examined the effects of various climatic variables on the seasonal epidemiology of rhinovirus infections in the temperate climate of Cheonan, Korea. Trends in rhinovirus detection were analyzed based on 9,010 tests performed between January 1, 2012, and December 31, 2018, at Dankook University Hospital, Cheonan, Korea. Seasonal patterns of rhinovirus detection frequency were compared with the local climatic variables for the same period. Rhinovirus infection was the highest in children under 10 years of age, and climatic variables influenced the infection rate. Temperature, wind chill temperature, humidity, and particulate matter significantly affected rhinovirus detection. Temperature and wind chill temperature were higher on days on which rhinovirus infection was detected than on which it was not. Conversely, particulate matter was lower on days on which rhinovirus was detected. Atmospheric pressure and particulate matter showed a negative relationship with rhinovirus detection, whereas temperature, wind chill temperature, and humidity showed a positive relationship. Rhinovirus infection was significantly related to climatic factors such as temperature, wind chill temperature, atmospheric pressure, humidity, and particulate matter. To the best of our knowledge, this is the first study to find a relationship between daily temperatures/wind chill temperatures and rhinovirus infection over an extended period.

Keywords: Climate, rhinovirus, meteorology, respiratory infection

Graphical Abstract


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