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作 者:刘广天 韩百惠 陈琳琳 张静 韩玲 LIU Guang-tian;HAN Bai-hui;CHEN Lin-lin;ZHANG Jing;HAN Ling(Department of Medical Education,The Fourth People’s Hospital of Ningxia Hui Autonomous Region,Ningxia 750021,China;不详)
机构地区:[1]宁夏回族自治区第四人民医院医教科,宁夏银川750021 [2]宁夏医科大学公共卫生学院 [3]新疆维吾尔自治区疾病预防控制中心办公室 [4]中国疾病预防控制中心传染病预防控制所,传染病溯源预警与智能决策国家重点实验室
出 处:《环境与健康杂志》2024年第8期710-714,F0003,共6页Journal of Environment and Health
基 金:传染病预防控制国家重点实验室开放课题(2023SKLID302)。
摘 要:目的分析宁夏回族自治区气象因素与呼吸道传染病发病的相关性,为制定相关防控措施提供理论依据。方法收集2016—2019年宁夏传染病医院呼吸科每日门诊人次与同时期银川市气象资料,构建分布滞后非线性模型(distributed lagnon-linear model,DLNM),研究呼吸科日门诊人次与气象因素间的关系。结果2016—2019年宁夏回族自治区传染病医院呼吸科就诊患者共46630人次。滞后第7、8、9天时,高温对门诊人次的效应影响有统计学意义,其中25℃时RR值最高为1.063(95%CI:1.002~1.128,P<0.05);滞后第14天时高气压的效应影响有统计学意义,902 hPa时RR值最高为1.114(95%CI:1.004~1.235,P<0.05)。结论气象因素可在一定程度上影响呼吸道传染病发病,应密切关注气象条件变化对人群健康造成的影响。Objective To understand the effects of meteorological factors on the number of outpatients in respiratory department of Infectious Disease Hospital in Ningxia Hui Autonomous region,thus providing theoretical references for the prevention and control.Method Daily outpatient number in Infectious Disease Hospital in Ningxia Hui Autonomous region and meteorological factors data of Yinchuan city in the same period were collected from 2016-2019.The correlation between the number of daily outpatients and meteorological factors was established a Distributed lag Non-linear Model(DLNM).Result A total of 46630 patients of the respiratory department of the Hospital for Infectious Diseases were counted in Ningxia Hui Autonomous Region from 2016 to 2019.At the lag of 7,8 and 9 days,the high temperature had an influence effect,and the RR of the highest value at 25℃was 1.063(95%CI:1.002-1.128);at the lag of 14 days,the high pressure had an influence effect,and the RR of the highest value at 902 hpa was 1.114(95%CI:1.004-1.235),with statistical significance(P<0.05).Conclusion The meteorological factors may affect the number of outpatient in respiratory department of infectious disease hospital,therefore,we should pay close attention to the impact of changes in meteorological conditions on respiratory infectious diseases.
分 类 号:R122.2[医药卫生—环境卫生学] R181.3[医药卫生—公共卫生与预防医学]
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