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

Objective: To explore the impact of meteorological factors on the outbreak of bacillary dysentery, so as to provide suggestions for disease prevention. Methods: Based on the Chinese medicine theory of Yunqi, the descriptive statistics, single-factor correlation analysis and back-propagation artifici...

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Published inChinese journal of integrative medicine Vol. 19; no. 3; pp. 182 - 186
Main Author 马师雷 汤巧玲 刘宏伟 贺娟 高思华
Format Journal Article
LanguageEnglish
Published Heidelberg Chinese Association of Traditional and Western Medicine 01.03.2013
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ISSN1672-0415
1993-0402
1993-0402
DOI10.1007/s11655-012-1239-z

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Summary:Objective: To explore the impact of meteorological factors on the outbreak of bacillary dysentery, so as to provide suggestions for disease prevention. Methods: 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. Results: 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. Conclusions: 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.
Bibliography:MA Shi-lei , TANG Qiao-ling , LIU Hong-wei , HE Juan , GAO Si-hua (Department of Basic Medicine, Beijing University of Chinese Medicine, Beijing (100029), China)
11-4928/R
Objective: To explore the impact of meteorological factors on the outbreak of bacillary dysentery, so as to provide suggestions for disease prevention. Methods: 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. Results: 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. Conclusions: 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.
bacillary dysentery; meteorological factors; Chinese medicine; the theory of Yunqi; back-propagation artificial neural net-work; medical-meteorological forecast model
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ISSN:1672-0415
1993-0402
1993-0402
DOI:10.1007/s11655-012-1239-z