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 in | Chinese journal of integrative medicine Vol. 19; no. 3; pp. 182 - 186 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
Heidelberg
Chinese Association of Traditional and Western Medicine
01.03.2013
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Subjects | |
Online Access | Get full text |
ISSN | 1672-0415 1993-0402 1993-0402 |
DOI | 10.1007/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. |
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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 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1672-0415 1993-0402 1993-0402 |
DOI: | 10.1007/s11655-012-1239-z |