Correlation analysis for the attack of bacillary dysentery and meteorological factors based on the Chinese medicine theory of Yunqi and the medical-meteorological forecast model
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Correlation analysis for the attack of bacillary dysentery and meteorological factors based on the Chinese medicine theory of Yunqi and the medical-meteorological forecast model
Correlation analysis for the attack of bacillary dysentery and meteorological factors based on the Chinese medicine theory of Yunqi and the medical-meteorological forecast model
中国结合医学杂志(英文版)2013年19卷第3期 页码:182-186
Affiliations:
Department of Basic Medicine, Beijing University of Chinese Medicine,Beijing,China
Author bio:
Funds:
Supported by the National Natural Science Foundation of China (No. 81072896) and Beijing University of Chinese Medicine (No. 2009JYZZ-JS001)
Ma, Sl., Tang, Ql., Liu, Hw. et al. Correlation analysis for the attack of bacillary dysentery and meteorological factors based on the Chinese medicine theory of Yunqi and the medical-meteorological forecast model., Chin. J. Integr. Med. 19, 182–186 (2013). https://doi.org/10.1007/s11655-012-1239-z
Shi-lei Ma, Qiao-ling Tang, Hong-wei Liu, et al. Correlation analysis for the attack of bacillary dysentery and meteorological factors based on the Chinese medicine theory of Yunqi and the medical-meteorological forecast model[J]. Chinese Journal of Integrative Medicine, 2013,19(3):182-186.
Ma, Sl., Tang, Ql., Liu, Hw. et al. Correlation analysis for the attack of bacillary dysentery and meteorological factors based on the Chinese medicine theory of Yunqi and the medical-meteorological forecast model., Chin. J. Integr. Med. 19, 182–186 (2013). https://doi.org/10.1007/s11655-012-1239-zDOI:
Shi-lei Ma, Qiao-ling Tang, Hong-wei Liu, et al. Correlation analysis for the attack of bacillary dysentery and meteorological factors based on the Chinese medicine theory of Yunqi and the medical-meteorological forecast model[J]. Chinese Journal of Integrative Medicine, 2013,19(3):182-186. DOI: 10.1007/s11655-012-1239-z.
Correlation analysis for the attack of bacillary dysentery and meteorological factors based on the Chinese medicine theory of Yunqi and the medical-meteorological forecast model
摘要
To explore the impact of meteorological factors on the outbreak of bacillary dysentery
so as to provide suggestions for disease prevention. Based on the Chinese medicine theory of Yunqi
the descriptive statistics
single-factor correlation analysis and back-propagation artificial neural net-work were conducted using data on five basic meteorological factors and data on incidence of bacillary dysentery in Beijing
China
for the period 1970–2004. The incidence of bacillary dysentery showed significant positive correlation relationship with the precipitation
relative humidity
vapor pressure
and temperature
respectively. The incidence of bacillary dysentery showed a negatively correlated relationship with the wind speed and the change trend of average wind speed. The results of medical-meteorological forecast model showed a relatively high accuracy rate. There is a close relationship between the meteorological factors and the incidence of bacillary dysentery
but the contributions of which to the onset of bacillary dysentery are different to each other.
Abstract
To explore the impact of meteorological factors on the outbreak of bacillary dysentery
so as to provide suggestions for disease prevention. Based on the Chinese medicine theory of Yunqi
the descriptive statistics
single-factor correlation analysis and back-propagation artificial neural net-work were conducted using data on five basic meteorological factors and data on incidence of bacillary dysentery in Beijing
China
for the period 1970–2004. The incidence of bacillary dysentery showed significant positive correlation relationship with the precipitation
relative humidity
vapor pressure
and temperature
respectively. The incidence of bacillary dysentery showed a negatively correlated relationship with the wind speed and the change trend of average wind speed. The results of medical-meteorological forecast model showed a relatively high accuracy rate. There is a close relationship between the meteorological factors and the incidence of bacillary dysentery
but the contributions of which to the onset of bacillary dysentery are different to each other.
关键词
bacillary dysenterymeteorological factorsChinese Medicinethe theory of Yunqiback-propagation artificial neural net-workmedical-meteorological forecast model
Keywords
bacillary dysenterymeteorological factorsChinese Medicinethe theory of Yunqiback-propagation artificial neural net-workmedical-meteorological forecast model
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相关作者
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相关机构
Beijing Professional Weather Service Observatory
School of Basic Medicial Science, Beijing University of Chinese Medicine
Georg-August-Universität Göttingen, Göttingen
The Key Laboratory of Geriatrics, Beijing Hospital and Beijing Institute of Geriatrics’ Ministry of Public Health