python爬虫获取天气数据与儿童肺部疾病门诊就诊率相关性分析

Correlation Analysis between Weather data obtained by python crawler and consultation rate of Lung Diseases in Children

目的利用爬虫获取AQI(Air Quality Index空气质量指数)数据,尝试分析空气质量数据与儿童肺部疾病发病率的关系。方法用爬虫获取中国空气质量在线监测分析平台2018年3月至2019年3月空气质量数据,将西安市2018年3月至2019年3月交通大学第一附属医院儿科门诊月平均肺部疾病就诊率进行统计分析。结果呼吸系统性疾病与西安AQI等空气数据正相关,与O3负相关,上呼吸道感染、支气管炎、肺炎与AQI正相关。结论严重雾霾天气使儿童肺部疾病就诊率大幅增加,应加大空气污染防治力度,减少儿童在严重雾霾天气外出次数并在外出时佩戴防雾霾口罩。

Objective To obtain AQI(Air Quality Index)data using python crawlers and try to analyze the relationship between air quality data and the incidence of childhood lung disease.Methods The python crawler was used to obtain the air quality data of the China Air Quality Online Monitoring and Analysis Platform from March 2018 to March 2019,and the average monthly lung disease in the pediatric outpatient department of the First Affiliated Hospital of Jiaotong University from March 2018 to March 2019 in Xi'an.Statistical analysis of the visit rate.Results Respiratory diseases were positively correlated with air data such as Xi'an AQI and negatively correlated with O3.Upper respiratory tract infection,bronchitis,and pneumonia are positively associated with AQI.Conclusion Severe smog weather has greatly increased the rate of children's lung disease treatment.It is necessary to increase the prevention and control of air pollution,reduce the number of children going out in severe smog weather and wear anti-fog masks when going out.