Investigation of the Correlation between Enterovirus Infection and the Climate Factor Complex Including the Ping-Year Factor and El Niño-Southern Oscillation in Taiwan

Author:

Yu Hsueh-Wen12,Kuan Chia-Hsuan12ORCID,Tseng Liang-Wei12ORCID,Chen Hsing-Yu3,Tsai Meg-Yen4,Chen Yu-Sheng125ORCID

Affiliation:

1. Department of Chinese Acupuncture and Traumatology, Center for Traditional Chinese Medicine, Chang Gung Memorial Hospital, No. 123, Dinghu Rd., Gueishan Dist., Taoyuan City 333423, Taiwan

2. Taiwan Huangdi-Neijing Medical Practice Association (THMPA), Taoyuan City 330032, Taiwan

3. Department of Chinese Internal Medicine, Center for Traditional Chinese Medicine, Chang Gung Memorial Hospital, No. 123, Dinghu Rd., Gueishan Dist., Taoyuan City 333423, Taiwan

4. Pingzhen Fengze Chinese Medicine Clinic, No. 65, Sec. 2, Yanping Rd., Pingzhen Dist., Taoyuan City 324005, Taiwan

5. School of Traditional Chinese Medicine, Chang Gung University, No. 259, Wen-Hwa 1st Rd., Gueishan Dist., Taoyuan City 333323, Taiwan

Abstract

Enterovirus infection and enterovirus infection with severe complications (EVSC) are critical issues in several aspects. However, there is no suitable predictive tool for these infections. A climate factor complex (CFC) containing several climate factors could provide more effective predictions. The ping-year factor (PYF) and El Niño-Southern Oscillation (ENSO) are possible CFCs. This study aimed to determine the relationship between these two CFCs and the incidence of enterovirus infection. Children aged 15 years and younger with enterovirus infection and/or EVSC were enrolled between 2007 and 2022. Each year was categorized into a ping-year or non-ping-year according to the PYF. Poisson regression was used to evaluate the associations between the PYF, ENSO, and the incidence of enterovirus infection. Compared to the ping-year group, the incidence rate of enterovirus infection, the incidence rate of EVSC, and the ratio of EVSC in the non-ping-year group were 1.24, 3.38, and 2.73 times higher, respectively (p < 0.001). For every one-unit increase in La Niña, the incidence rate of enterovirus infection decreased to 0.96 times (p < 0.001). Our study indicated that CFCs could be potential predictors for enterovirus infection, and the PYF was more suitable than ENSO. Further research is needed to improve the predictive model.

Publisher

MDPI AG

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