title: Correlation analysis for the attack of respiratory diseases and meteorological factors.
abstract: OBJECTIVE
  To investigate the relationship between respiratory diseases onset and the meteorological factors in the same period and in a specific environment. METHODS METHODS: By using the data of daily incidence of respiratory diseases obtained from Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine from January 1, 1998 to December 31, 2007, and the data of 16 items of meteorological factors (such as the average, maximum, and minimum temperatures, etc., including meteorological factors derived) obtained from the Beijing Municipal Meteorological Observatory, mathematical statistical methods were applied to achieve the non-linear correlation analysis, or the correlation test, between the incidence of respiratory diseases and the time-related meteorological factors.
  
  
  RESULTS
  The simple correlation coefficients of the relationship between the incidence of respiratory diseases and 9 meteorological elements, including the average values of temperature, maximum temperature, minimum temperature, degree of comfort, precipitation, vapor pressure, low cloud cover, change of vapor pressure, and change of wind speed, were all greater than 0.8286, in which one of the relationship between the incidence of respiratory diseases and the maximum temperature is as high as 0.9670. Statistical tests showed R>Rα=0.05 and F>Fα=0.05.
  
  
  CONCLUSIONS
  The incidence of respiratory diseases was closely correlated to meteorological factors, such as air temperature, vapor pressure, precipitation, wind speed, etc. To a certain extent, this conclusion confirmed the scientificity and objectivity of the theory of five evolutive phases and six climatic factors (Wu Yun Liu Qi ) in Huang Di Nei Jing (The Yellow Emperor's Canon of Internal Medicine).
authors.affiliation: Beijing Professional Weather Service Observatory, Beijing, China.
authors.forename: De-shan
authors.initials: DS
authors.lastname: Zhang
authors.forename: Juan
authors.initials: J
authors.lastname: He
authors.forename: Si-hua
authors.initials: SH
authors.lastname: Gao
authors.forename: Bao-kun
authors.initials: BK
authors.lastname: Hu
authors.forename: Shi-lei
authors.initials: SL
authors.lastname: Ma
mesh_terms: D000388:Air; D002681:China / Q000453:epidemiology; D006801:Humans; D006813:Humidity; D015994:Incidence; D008516:Medicine, Chinese Traditional; D008685:Meteorological Concepts; D012140:Respiratory Tract Diseases / Q000453:epidemiology* / Q000209:etiology*; D013223:Statistics as Topic; D013227:Steam; D013997:Time Factors; D014919:Wind
chemical_list: D013227:Steam