School-based surveillance of acute infectious disease in children: a systematic review.
School-based surveillance of acute infectious disease in children: a systematic review.
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DOI：
10.1186/s12879-021-06444-6
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发表时间：
2021-08-03
影响因子：
3.7
通讯作者：
O'Brien SJ
中科院分区：
文献类型：
--
作者：
Donaldson AL;Hardstaff JL;Harris JP;Vivancos R;O'Brien SJ
综合征监测系统是公共卫生监测的重要组成部分，可及时发现传染病病例和疫情。虽然监测系统通常嵌入到医疗保健中，但人们对监测疾病趋势的新数据源越来越感兴趣，例如非处方购买、基于互联网的健康搜索和工人缺勤。本系统审查考虑了学校出勤登记册在监测儿童传染病爆发和发生方面的效用。以缺课、传染病和综合征监测相关的关键词对8个数据库进行检索。研究仅限于1995年1月1日以后发表的研究。在幼儿园或高等教育机构进行的研究被排除在外。文章筛选由两名独立审稿人根据商定的资格标准进行。使用标准化的数据提取表格进行数据提取。结果包括缺勤估计、与现有监测系统的相关性以及相关的提前或滞后时间。15项研究符合纳入标准，均与流感监测有关。缺勤数据的特异性在全因缺勤、疾病缺勤和综合征特异性缺勤之间存在差异。各系统在学校提交数据的频率和数据汇总水平方面有所不同。基线缺勤率在2.3-3.7%之间，高峰缺勤率在4.1-9.8%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），因病缺勤产生的结果好坏参半，全因缺勤表现最差。在提前和滞后时间方面也出现了类似的结果模式，与所有原因缺勤数据报告的滞后时间和疾病缺勤数据不一致的结果相比，流感样疾病（ILI）特异性缺勤提供了1-2周的提前时间。特定症候的缺课在流感症候监测中具有潜在的效用，显示出与卫生保健监测数据的良好相关性，并且比现有监测措施提前1-2周。进一步的研究应考虑到除流感以外的其他疾病的学校出勤登记册的效用，以扩大我们对这些数据在儿童传染病监测中的潜在应用的理解。普洛斯彼罗2019 crd42019119737。在线版本包含补充材料，可在10.1186/s12879-021-0644 -6获得。
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. 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. 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. 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. PROSPERO 2019 CRD42019119737. The online version contains supplementary material available at 10.1186/s12879-021-06444-6.
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影响因子：
4.6
作者：
Blozik, Eva;Grandchamp, Chantal;von Overbeck, Jan
通讯作者：
von Overbeck, Jan
网络查询是综合症监测的来源。
影响因子：
3.7
作者：
Hulth A;Rydevik G;Linde A
通讯作者：
Linde A
影响因子：
3.1
作者：
Elliot, Alex J.;Hughes, Helen E.;Smith, Gillian E.
通讯作者：
Smith, Gillian E.
影响因子：
158.5
作者：
GLEZEN, WP;COUCH, RB
通讯作者：
COUCH, RB
影响因子：
3.7
作者：
Aldridge, Robert W.;Hayward, Andrew C.;McCracken, Shane
通讯作者：
McCracken, Shane