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上海市闵行区水痘发病情况与气温的相关性研究

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[目的]探索气温与水痘发病风险的暴露-滞后-反应关系,为水痘疫情早期预警和精准防控提供科学依据.[方法]收集2010-2022年上海市闵行区每日水痘发病数据和同期每日气象数据,采用分布滞后非线性模型分析气温与水痘发病风险的暴露-滞后-反应关系,并分析气温对不同年龄段人群发病风险的影响.[结果]研究期间闵行区共报告水痘病例26 207例,其中3~14岁组病例最多,占50.35%.水痘病例的季节性模式呈双峰型,11-12月出现较大高峰,5-6月出现较小高峰.分布滞后非线性模型分析结果显示,气温对水痘发病的影响呈现单峰曲线,相对危险度(RR)在7℃时达到最大峰值为1.90(95%CI:1.25~2.87).在不同的气温水平,气温和水痘之间的滞后反应曲线均呈倒"U"形.气温对3~14岁人群水痘发病效应的影响呈单峰模式,RR值在11℃时达到峰值(RR=2.89,95%CI:1.33~6.24).气温对15岁及以上人群水痘发病效应的影响呈单峰模式,RR值在5℃时达到峰值(RR=2.14,95%CI:1.33~3.44).[结论]气温对水痘发病的影响呈现单峰曲线,低温可增加水痘发病风险,3~14岁儿童更容易受到影响.
Correlation between the varicella incidence and temperature in Minhang District,Shanghai
[Objective]To explore the exposure-lag-response relationship between temperature and risk of varicella incidence,and to provide a scientific evidence for early warning and precise prevention and control of varicella epidemic.[Methods]Daily varicella cases and daily meteorological data were collected in Minhang District,Shanghai from 2010 to 2022.A distributed lag nonlinear model was used to determine the exposure-lag-response relationship between temperature and risk of varicella incidence.Furthermore,effect of temperature on the incidence risk was determined across different age groups.[Results]In 2010‒2022,the total number of notified varicella cases was 26 207 in Minhang District,with the highest incidence in the group aged 3‒14 years(50.35%).The seasonal pattern of daily varicella cases showed a double peak.The large peak was found in November and December,followed by a smaller peak in May and June.Moreover,the distributed lag nonlinear model showed a unimodal curve in the relationship between temperature and varicella incidence.The RR value reached its maximum peak of 1.90(95%CI:1.25‒2.87)at 7℃.A reverse U-shape was found in the lag-response curves between temperature and varicella incidence.Furthermore,the effect of temperature on the varicella incidence showed a unimodal pattern in the varicella cases aged 3‒14 years.The RR value reached its peak at 11℃(RR=2.89,95%CI:1.33‒6.24).In contrast,the effect of temperature on the varicella incidence in the cases aged 15 years and above showed a unimodal pattern,with RR value reaching the peak at 5℃(RR=2.14,95%CI:1.33‒3.44).[Conclusion]The unimodal curve is found in the relationship between temperature and varicella incidence.Low temperature is associated with increased risk of varicella incidence.Children aged 3‒14 years are more susceptible to the effect of temperature on the varicella incidence.

varicellatemperaturedistributed hysteresis lag nonlinear modelhysteresis lag effect

赵霞、董琳娟、周毅彬、张兆文、崔劲松、范佳磊、许晨曦、王墩家

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上海市闵行区疾病预防控制中心,上海 201100

水痘 气温 分布滞后非线性模型 滞后效应

上海市闵行区卫生健康委员会科研课题

2023MW23

2024

上海预防医学
上海市预防医学会

上海预防医学

CSTPCD
影响因子:0.615
ISSN:1004-9231
年,卷(期):2024.36(8)