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KMID : 1155220190440010032
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Journal of the Korean Society of Health Information and Health Statistics
2019 Volume.44 No. 1 p.32 ~ p.40
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Correlation Change between the Detection Rate of Pathogens Causing Acute Diarrheal Disease and Climatic Elements in Daegu
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Goh Bog-Sil
Kim Keon-Yeop
Kim Shin-Woo
Lee Won-Kee
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Abstract
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Objectives: We investigated the correlation between detection rates of pathogens causing diarrhea and the climatic elements (temperature and relative humidity) in recent 10 years in Daegu.
Method: From 2008 to 2017, we calculated the detection rates of bacterial and viral pathogens causing diarrheal disease from 12,771 fecal samples collected through the acute diarrhea laboratory surveillance project and got the data of temperature and relative humidity. Correlation analysis between climatic elements and detection rates was conducted and trend analysis was made using the correlation coefficient.
Results: The correlation coefficient between temperature and detection rates of bacterial and viral pathogens was r=0.65 (p<0.001) and r=-0.82 (p<0.001) each. The correlation coefficient between relative humidity and detection rates was r=0.76 (p<0.001), r=-0.83 (p<0.001) each. From 2012 to 2017, the linear trend of correlation coefficient between temperature and detection rates of bacterial pathogens was β=-0.090 (p=0.066) showing declining tendency. From 2008 to 2017, the linear trend of correlation coefficient between temperature and detection rates of viral pathogens was β = 0.030 (p=0.036) showing declining tendency. In other words, the correlation between the causative pathogen detection rate and the climatic elements was high for 10 years but the linear trend of correlation between viral pathogen detection rate and temperature showed a declining tendency as it approached 2017.
Conclusions: Recently, the general phenomenon that the acute diarrheal diseases by bacterial pathogens mainly occurs in summer season and by viral pathogens mainly in winter season is weakening.
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KEYWORD
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Diarrhea, Detection rate, Climate, Correlation, Linear trend
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