排序方式: 共有10条查询结果,搜索用时 0 毫秒
1
1.
Talia M. Quandelacy Shanta Zimmer Justin Lessler Charles Vukotich Rachel Bieltz Kyra H. Grantz David Galloway Jonathan M. Read Yenlik Zheteyeva Hongjiang Gao Amra Uzicanin Derek A. T. Cummings 《Influenza and other respiratory viruses》2021,15(6):757
BackgroundChildren are important in community‐level influenza transmission. School‐based monitoring may inform influenza surveillance.MethodsWe used reported weekly confirmed influenza in Allegheny County during the 2007 and 2010‐2015 influenza seasons using Pennsylvania''s Allegheny County Health Department all‐age influenza cases from health facilities, and all‐cause and influenza‐like illness (ILI)‐specific absences from nine county school districts. Negative binomial regression predicted influenza cases using all‐cause and illness‐specific absence rates, calendar week, average weekly temperature, and relative humidity, using four cross‐validations.ResultsSchool districts reported 2 184 220 all‐cause absences (2010‐2015). Three one‐season studies reported 19 577 all‐cause and 3012 ILI‐related absences (2007, 2012, 2015). Over seven seasons, 11 946 confirmed influenza cases were reported. Absences improved seasonal model fits and predictions. Multivariate models using elementary school absences outperformed middle and high school models (relative mean absolute error (relMAE) = 0.94, 0.98, 0.99). K‐5 grade‐specific absence models had lowest mean absolute errors (MAE) in cross‐validations. ILI‐specific absences performed marginally better than all‐cause absences in two years, adjusting for other covariates, but markedly worse one year.ConclusionsOur findings suggest seasonal models including K‐5th grade absences predict all‐age‐confirmed influenza and may serve as a useful surveillance tool. 相似文献
2.
3.
Evaluation of Unintended Social and Economic Consequences of an Unplanned School Closure in Rural Illinois
下载免费PDF全文
![点击此处可从《The Journal of school health》网站下载免费的PDF全文](/ch/ext_images/free.gif)
4.
5.
6.
7.
8.
9.
10.
1