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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.

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Ma, Shi-Lei Tang, Qiao-Ling Liu, Hong-Wei He, Juan Gao, Si-Hua
Spatial Coverage	China
Description	Country affiliation: China Author Affiliation: Ma SL ( Department of Basic Medicine, Beijing University of Chinese Medicine, Beijing 100029, China.)
Abstract	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.
File Format	HTM / HTML
ISSN	16720415
Issue Number	3
Volume Number	19
e-ISSN	19930402
Journal	Chinese Journal of Integrative Medicine
Language	English
Publisher	Springer
Publisher Date	2013-03-01
Publisher Place	China
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Discipline Therapeutics Dysentery, Bacillary Epidemiology Forecasting Medicine, Chinese Traditional Meteorological Concepts Models, Theoretical Statistics As Topic China Humans Incidence Journal Article Research Support, Non-u.s. Gov't
Content Type	Text
Resource Type	Article
Subject	Pharmacology (medical) Complementary and Alternative Medicine

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