异常天象与疫病流行的相关性探究  

Exploration of the relationship between abnormal weather and epidemic disease

作　　者：姚子昂[1] 王苹[2] 

机构地区：[1]北京中医药大学基础医学院,北京100029 [2]北京中医药大学信息中心,北京100029

出　　处：《中国医药导报》2016年第7期112-114,共3页China Medical Herald

基　　金：北京市高校青年英才计划项目(编号YETP0820)

摘　　要：目的探究异常天象与疫病流行两者之间是否存在相关性及其相关的程度。方法对古籍文献进行整理分析,收集从周朝到民国末年见于正史与地方县志的关于异常天象与疫病流行的数据记录,使用SPSS 13.0软件对这两类数据进行统计分析,计算Spearman相关系数(r值)。结果在细化的异常天象中,太阳黑子、极光、陨石、日食、月食、彗星与疫病发生次数的r值≥0.680(P<0.05),呈强相关;流星雨与疫病发生次数的r值为0.438(P<0.05),属中等相关;月掩行星、新星和超新星与疫病发生次数的r值<0.500(P>0.05),无相关性。结论太阳黑子、极光、陨石、日食、月食、彗星和流星雨这些异常天象确实与疫病流行相关。Objective To explore the correlation between the abnormal phenomena and epidemic disease, and their related degree. Methods The ancient literatures and books were analyzed. And the data records about the abnormal phenomena and epidemic disease from the Zhou Dynasty to the late Republic of China in history were collected. SPSS 13.0software was used for analysis of the two kinds of data, and the correlation coefficient of Spearman（r value） was calculated. Results In the abnormal celestial phenomena in the refinement, the r value between the sunspots, aurora, meteorites, eclipses, comets and the number of disease incidence was greater than 0.680（P 〈 0.05）, with a strong correlation; r value between the meteor shower and the number of disease incidence was 0.438（P 〈 0.05）, with a moderate correlation; r value between lunar occultation of planets, stars and supernovae and the number of disease incidence was less than 0.500（P 〉 0.05）, with no correlation. Conclusion Sunspots, aurora, meteorites, eclipses, comets and meteor shower, these abnormal celestial phenomena are really related to the epidemic disease.

关 键 词：运气学 异常天象 疫病 相关性 

分 类 号：R226[医药卫生—中医基础理论]