首页|基于DLNM模型评估大气污染物对济南市2015-2019年流感样病例发病影响

基于DLNM模型评估大气污染物对济南市2015-2019年流感样病例发病影响

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目的 探讨2015-2019年济南市大气污染物与流感样病例发病之间的关系,为流感预警提供科学依据.方法 本研究收集了 2015-2019年济南市流感样病例、气象及大气污染物数据,对流感样病例的流行概况进行描述.采用R 4.2.2软件进行spearman相关性分析,并构建分布滞后非线性模型(distributed lag non-linear model,DLNM)以探索大气污染物与流感样病例发病的关联.结果 济南市5所国家级流感哨点医院共报告156 699例流感样病例.济南市大气污染物与流感样病例发病存在相关性,并有滞后效应.在特定浓度下,PM2.5、S02、N02、03具有统计学意义的累积滞后效应最大值分别为 1.134(95%CI:1.018~1.263),1.291(95%CI:1.055~1.580),1.341(95%CI:1.229~1.462),1.267(95%CI:1.085~1.481),且大气污染物的累积滞后效应大于单日滞后效应.结论 大气污染物会导致济南市流感样病例发病风险增加.建议相关部门加强大气污染物的预报工作,应在污染天气及时提醒公众采取适当的防护措施.
Assessment based on DLNM model on the impact of atmospheric pollutants on incidence of influenza-like illness in Jinan city from 2015-2019
Objective To investigate the relationship between atmospheric pollutants and the incidence of influenza-like illness(ILI)in Jinan from 2015 to 2019,so as to provide a scientific basis for early warning of influenza.Methods Data on ILI,meteorology and atmospheric pollutants in Jinan from 2015 to 2019 were collected.The epidemiological profile of ILI was described.R 4.2.2 software was used for spearman correlation analysis,and a distributed lag non-linear model(DLNM)was constructed to explore the association between atmospheric pollutants and the incidence of ILI.Results A total of 156 699 ILI cases were reported from five sentinel hospitals in Jinan.There was a significant correlation between atmospheric pollutants and the incidence of ILI,with a lag effect.At specific concentrations,the maximum values of statistically significant cumulative effects of PM2 5,SO2,NO2,and O3 were 1.134(95%CI:1.018-1.263),1.291(95%CI:1.055-1.580),1.341(95%CI:1.229-1.462)and 1.267(95%CI:1.085-1.481),respectively.The cumulative lag effect of pollutants was greater than the single lag effect.Conclusions The pollutants would increase the risk of ILI in Jinan city.Enhanced forecasting of pollution by relevant agencies are recommended to provide suggestions of rational protection for the public during air pollutions.

Influenza-like illnessDistributed lag non-linear modelAtmospheric pollutantsEnvironmental factors

吴善正、崔亮亮、于秋燕、马若群、周成超、常彩云

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山东大学齐鲁医学院公共卫生学院卫生管理与政策研究中心 国家卫生健康委员会卫生经济与政策研究重点实验室,济南 250012

济南市疾病预防控制中心传染病防制所 250021

流感样病例 分布滞后非线性模型 大气污染物 环境因素

2021年济南市卫生健康委员会公共卫生计划专项项目

2021-公-10

2024

国际病毒学杂志
中华医学会,北京市疾病预防控制中心

国际病毒学杂志

CSTPCD北大核心
影响因子:1.826
ISSN:1673-4092
年,卷(期):2024.31(1)
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