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将日历效应纳入考虑预测威斯康星州密尔沃基市的流感季节性。

Incorporating calendar effects to predict influenza seasonality in Milwaukee, Wisconsin.

机构信息

Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA.

City of Milwaukee Health Department Laboratory (MHDL), Milwaukee, WI, USA.

出版信息

Epidemiol Infect. 2019 Sep 11;147:e268. doi: 10.1017/S0950268819001511.

Abstract

Social outings can trigger influenza transmission, especially in children and elderly. In contrast, school closures are associated with reduced influenza incidence in school-aged children. While influenza surveillance modelling studies typically account for holidays and mass gatherings, age-specific effects of school breaks, sporting events and commonly celebrated observances are not fully explored. We examined the impact of school holidays, social events and religious observances for six age groups (all ages, ⩽4, 5-24, 25-44, 45-64, ⩾65 years) on four influenza outcomes (tests, positives, influenza A and influenza B) as reported by the City of Milwaukee Health Department Laboratory, Milwaukee, Wisconsin from 2004 to 2009. We characterised holiday effects by analysing average weekly counts in negative binomial regression models controlling for weather and seasonal incidence fluctuations. We estimated age-specific annual peak timing and compared influenza outcomes before, during and after school breaks. During the 118 university holiday weeks, average weekly tests were lower than in 140 school term weeks (5.93 vs. 11.99 cases/week, P < 0.005). The dampening of tests during Winter Break was evident in all ages and in those 5-24 years (RR = 0.31; 95% CI 0.22-0.41 vs. RR = 0.14; 95% CI 0.09-0.22, respectively). A significant increase in tests was observed during Spring Break in 45-64 years old adults (RR = 2.12; 95% CI 1.14-3.96). Milwaukee Public Schools holiday breaks showed similar amplification and dampening effects. Overall, calendar effects depend on the proximity and alignment of an individual holiday to age-specific and influenza outcome-specific peak timing. Better quantification of individual holiday effects, tailored to specific age groups, should improve influenza prevention measures.

摘要

社交活动会引发流感传播,尤其是在儿童和老年人中。相比之下,学校关闭与学龄儿童流感发病率降低有关。虽然流感监测模型研究通常会考虑假期和群众集会,但学校休息、体育赛事和普遍庆祝活动的特定年龄影响尚未得到充分探讨。我们研究了六个年龄组(所有年龄、≤4 岁、5-24 岁、25-44 岁、45-64 岁、≥65 岁)的学校假期、社交活动和宗教节日对密尔沃基市卫生部门实验室报告的四项流感结果(检测、阳性、甲型流感和乙型流感)的影响,威斯康星州,2004 年至 2009 年。我们通过在控制天气和季节性发病波动的负二项回归模型中分析每周平均计数来描述假期的影响。我们估计了特定年龄的年度高峰期时间,并比较了学校放假前后的流感结果。在 118 个大学假期周中,每周平均检测量低于 140 个学期周(5.93 与 11.99 例/周,P<0.005)。在所有年龄组和 5-24 岁年龄组中,冬季假期的检测量明显减少(RR=0.31;95%CI 0.22-0.41 与 RR=0.14;95%CI 0.09-0.22)。45-64 岁成年人在春季假期中观察到检测量显著增加(RR=2.12;95%CI 1.14-3.96)。密尔沃基公立学校假期也显示出类似的放大和减弱效应。总体而言,日历效应取决于个人假期与特定年龄组和流感结果特定高峰期时间的接近程度和一致性。更好地量化特定的假期影响,针对特定年龄组,应能改善流感预防措施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2962/6805754/f5c8aa00ed08/S0950268819001511_fig1.jpg

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