基于五运六气理论对吉林省四地区温疫类疾病发病规律的研究

发布时间：2019-03-11 08:20

【摘要】：目的:基于五运六气理论以前郭尔罗斯、四平、延吉、临江四地区2005-2014年10气象数据和8种温疫类疾病发病数据为基本资料,研究五运六气理论中有关气象因素异常变化与温疫类疾病流行的相关性,探求五运六气理论在该四地区温疫类疾病预防方面的思路与现代研究方法。方法:1建立前郭尔罗斯、四平、延吉、临江四地区2005-2014年10年间各气象因素逐日数据库及8种温疫类疾病的月发病数据库。包括:(1)平均最低气温、平均最高气温、最大风速、极大风速、极端最低气压、极端最低气温、极端最高气压、极端最高气温、平均气压、平均风速、平均气温、平均相对湿度(2)四地区麻疹、痢疾、肺结核、流行性腮腺炎、水痘、手足口病、猩红热、风疹8种温疫类疾病的月发病率数据。2分别对各地区逐月的温疫类疾病发病率与同期气象因素进行单因素相关分析:通过运用SPSS22.0软件Spearman相关分析的统计学方法;(1)温疫类疾病发病率与平均最低气温、平均最高气温、最大风速、极大风速、极端最低气压、极端最低气温、极端最高气压、极端最高气温、平均气压、平均风速、平均气温、平均相对湿度相关性;(2)根据世界气象组织International Meteorological Vocabulary,WMO-No.182的定义,根据其定义筛选出气象因素的异常值。再根据相关原理,运用公式计算异常积分,筛选出异常发病数据。3对四地区发病资料及相关气象要素进行统计,对同时出现气象异常和发病率异常的时间段结合相关性分析结论,对异常要素进行分析。4统计四地区气候异常年份并分类整理,分析出岁运与气候异常之间关系。结果:(1)不同地区的同种温疫类疾病,影响它的相关气象因素不尽相同。(2)岁运对不同气象因素是否出现异常有重要作用。(3)气候出现异常时,会对与其相关性密切的温疫类疾病爆发造成影响。结论:(1)太乙天符之年气候异常变化剧烈,发病严重。(2)高温异常的出现常伴随前郭地区痢疾、手足口病,四平地区肺结核、手足口病,临江地区的痢疾发病率异常,故在火运太过之年或火为复气的木运不及之年注意以上温疫类疾病的预防工作。(3)气压的变化与燥金之气有关,金气盛则气压低,常伴随出现前郭地区麻疹、手足口病的发病率异常。故在金运太过之年应注意加强前郭地区麻疹、手足口病的预防。金气衰则气压高,常伴随出现延吉地区的痢疾发病率异常,故在金运不及之年应注意延吉地区痢疾的预防。(4)四平地区麻疹、肺结核,延吉地区水痘、痢疾,临江地区风疹的发病率与风速具有相关性,当出现高风速异常时,应注意防范上述温疫类疾病的异常爆发。
[Abstract]:Objective: based on the meteorological data of Guoeros, Siping, Yanji and Linjiang four regions in 2005-2014 and the incidence data of eight kinds of epidemic diseases before the theory of five movements and six gases, To study the correlation between the abnormal changes of meteorological factors and the epidemic of epidemic diseases in the theory of five movements and six gases, and to explore the ideas and modern research methods of the theory of five games and six gases in the prevention of epidemic diseases in the four regions. Methods: (1) to establish the daily database of meteorological factors and the monthly incidence database of eight kinds of epidemic diseases in the four regions of Linjiang from 2005 to 2014, including former Geros, Siping, Yanji and Linjiang area during the ten years from 2005 to 2014. Including: (1) mean minimum temperature, mean maximum temperature, maximum wind speed, extreme minimum pressure, extreme minimum temperature, extreme maximum pressure, extreme maximum temperature, mean air pressure, mean wind speed, average air temperature, Average relative humidity (2) measles, dysentery, tuberculosis, mumps, varicella, hand, foot and mouth disease, scarlet fever, Monthly incidence data of eight kinds of rubella diseases. 2 univariate correlation analysis was carried out between monthly incidence rate of epidemic diseases and meteorological factors in different regions: statistical method of Spearman correlation analysis by using SPSS22.0 software; (1) the incidence of febrile diseases and the mean minimum temperature, mean maximum temperature, maximum wind speed, extreme minimum pressure, extreme minimum temperature, extreme maximum pressure, extreme maximum temperature, mean air pressure, average wind speed, The correlation between mean air temperature and relative humidity; (2) according to the definition of World Meteorological Organization (International Meteorological Vocabulary,WMO-No.182), the abnormal values of meteorological factors are screened out. Then according to the relevant principles, the formula is used to calculate the abnormal integral, and the abnormal incidence data are screened out. 3 the incidence data and the related meteorological factors of the four regions are statistically analyzed. According to the results of correlation analysis, the abnormal factors are analyzed. (4) the relationship between the climatic anomaly and the climatic anomaly is analyzed according to the statistics and classification of the four climatic anomaly years in the four regions. Results: (1) the related meteorological factors were different in different regions. (2) whether the annual transportation played an important role in the occurrence of anomalies in different meteorological factors. (3) when the climate was abnormal, the results showed that: (1) the meteorological factors were different in different regions. (3) when the climate was abnormal, the related meteorological factors were not the same. It can have an impact on outbreaks of febrile diseases that are closely related to them. Conclusion: (1) the abnormal climate changes dramatically and the incidence of dysentery is serious in Taiyi Tianfu year. (2) the occurrence of hyperthermia is often accompanied by dysentery in Qianguo area, hand, foot and mouth disease, pulmonary tuberculosis in Siping area, hand foot mouth disease and dysentery in Linjiang area, and the incidence rate of dysentery in Linjiang area is abnormal. Therefore, attention should be paid to the prevention of the above-mentioned epidemic diseases in the year after the fire is too much or in the year when the fire is a compound gas. (3) the change of the air pressure is related to the dry gold gas, and the golden gas is low in the pressure, often accompanied by measles in the Qianguo area. The incidence of hand, foot and mouth disease is abnormal. Therefore, we should pay attention to strengthen the prevention of measles, hand, foot and mouth disease in Qianguo area. The incidence of dysentery in Yanji area is often accompanied by abnormal incidence of dysentery in Yanji area. Therefore, attention should be paid to the prevention of dysentery in Yanji area in the year of Jinyun. (4) measles, tuberculosis, chicken pox and dysentery in Siping area. There is a correlation between the incidence of rubella and wind speed in Linjiang area. When the wind speed is abnormal, attention should be paid to the prevention of the abnormally outbreak of the above-mentioned epidemic diseases.
【学位授予单位】：长春中医药大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：R254

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