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基于学校的儿童急性传染病监测:系统评价。

School-based surveillance of acute infectious disease in children: a systematic review.

机构信息

NIHR Health Protection Research Unit in Gastrointestinal Infections, University of Liverpool, Liverpool, UK.

Institute of Population Health Sciences, University of Liverpool, Liverpool, UK.

出版信息

BMC Infect Dis. 2021 Aug 3;21(1):744. doi: 10.1186/s12879-021-06444-6.

Abstract

BACKGROUND

Syndromic surveillance systems are an essential component of public health surveillance and can provide timely detection of infectious disease cases and outbreaks. Whilst surveillance systems are generally embedded within healthcare, there is increasing interest in novel data sources for monitoring trends in illness, such as over-the-counter purchases, internet-based health searches and worker absenteeism. This systematic review considers the utility of school attendance registers in the surveillance of infectious disease outbreaks and occurrences amongst children.

METHODS

We searched eight databases using key words related to school absence, infectious disease and syndromic surveillance. Studies were limited to those published after 1st January 1995. Studies based in nursery schools or higher education settings were excluded. Article screening was undertaken by two independent reviewers using agreed eligibility criteria. Data extraction was performed using a standardised data extraction form. Outcomes included estimates of absenteeism, correlation with existing surveillance systems and associated lead or lag times.

RESULTS

Fifteen studies met the inclusion criteria, all of which were concerned with the surveillance of influenza. The specificity of absence data varied between all-cause absence, illness absence and syndrome-specific absence. Systems differed in terms of the frequency of data submissions from schools and the level of aggregation of the data. Baseline rates of illness absence varied between 2.3-3.7%, with peak absences ranging between 4.1-9.8%. Syndrome-specific absenteeism had the strongest correlation with other surveillance systems (r = 0.92), with illness absenteeism generating mixed results and all-cause absenteeism performing the least well. A similar pattern of results emerged in terms of lead and lag times, with influenza-like illness (ILI)-specific absence providing a 1-2 week lead time, compared to lag times reported for all-cause absence data and inconsistent results for illness absence data.

CONCLUSION

Syndrome-specific school absences have potential utility in the syndromic surveillance of influenza, demonstrating good correlation with healthcare surveillance data and a lead time of 1-2 weeks ahead of existing surveillance measures. Further research should consider the utility of school attendance registers for conditions other than influenza, to broaden our understanding of the potential application of this data for infectious disease surveillance in children.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO 2019 CRD42019119737.

摘要

背景

症状监测系统是公共卫生监测的重要组成部分,能够及时发现传染病病例和疫情。虽然监测系统通常嵌入在医疗保健中,但人们越来越关注用于监测疾病趋势的新型数据源,例如非处方购买、基于互联网的健康搜索和工人缺勤。本系统评价研究了在监测儿童传染病暴发和发生方面,使用学校出勤登记来进行监测的效用。

方法

我们使用与学校缺勤、传染病和症状监测相关的关键词,在 8 个数据库中进行了检索。研究仅限于 1995 年 1 月 1 日以后发表的研究。排除了幼儿园或高等教育机构的研究。两名独立审查员使用商定的纳入标准进行了文章筛选。使用标准化数据提取表进行了数据提取。结果包括缺勤率的估计值、与现有监测系统的相关性以及相关的提前或滞后时间。

结果

15 项研究符合纳入标准,均涉及流感监测。所有病因缺勤、疾病缺勤和综合征特异性缺勤的缺勤数据特异性各不相同。系统在学校提交数据的频率和数据汇总的程度上有所不同。疾病缺勤的基线率在 2.3%至 3.7%之间,峰值缺勤率在 4.1%至 9.8%之间。综合征特异性缺勤与其他监测系统的相关性最强(r=0.92),疾病缺勤的结果喜忧参半,所有病因缺勤的相关性最差。在提前和滞后时间方面也出现了类似的结果模式,流感样疾病(ILI)特异性缺勤提供了 1-2 周的提前时间,而所有病因缺勤数据的滞后时间报告不一致,疾病缺勤数据的结果也不一致。

结论

综合征特异性学校缺勤在流感的症状监测中有潜在的应用价值,与医疗保健监测数据具有良好的相关性,比现有监测措施提前 1-2 周。进一步的研究应考虑学校出勤登记在流感以外疾病方面的应用,以扩大我们对这种数据在儿童传染病监测中应用潜力的理解。

系统评价注册

PROSPERO 2019 CRD42019119737。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af40/8335931/089a0f0aaec6/12879_2021_6444_Fig1_HTML.jpg

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