About: Teacher led school-based surveillance can allow accurate tracking of emerging infectious diseases - evidence from serial cross-sectional surveys of febrile respiratory illness during the H1N1 2009 influenza pandemic in Singapore

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About: Teacher led school-based surveillance can allow accurate tracking of emerging infectious diseases - evidence from serial cross-sectional surveys of febrile respiratory illness during the H1N1 2009 influenza pandemic in Singapore Goto Sponge NotDistinct Permalink

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Teacher led school-based surveillance can allow accurate tracking of emerging infectious diseases - evidence from serial cross-sectional surveys of febrile respiratory illness during the H1N1 2009 influenza pandemic in Singapore
Creator	Lee, Vernon Barr, Ian Cutter, Jeffery Chen, Mark Lin, Raymond Lim, Wei-Yen Lin, Cui Tambyah, Paul Ang, Wei Chee, Meng Cheng Thoon, Koh Chong, Chia Cook, Alex Goh, Goh, Denise Lee, Gan Leo, Yee Li, † Saw, Seang Sethi, Sunil Soh, Shu Tee, Nancy Tk Chow, Vincent
source	Medline; PMC
abstract	BACKGROUND: Schools are important foci of influenza transmission and potential targets for surveillance and interventions. We compared several school-based influenza monitoring systems with clinic-based influenza-like illness (ILI) surveillance, and assessed the variation in illness rates between and within schools. METHODS: During the initial wave of pandemic H1N1 (pdmH1N1) infections from June to Sept 2009 in Singapore, we collected data on nation-wide laboratory confirmed cases (Sch-LCC) and daily temperature monitoring (Sch-DTM), and teacher-led febrile respiratory illness reporting in 6 sentinel schools (Sch-FRI). Comparisons were made against age-stratified clinic-based influenza-like illness (ILI) data from 23 primary care clinics (GP-ILI) and proportions of ILI testing positive for pdmH1N1 (Lab-ILI) by computing the fraction of cumulative incidence occurring by epidemiological week 30 (when GP-ILI incidence peaked); and cumulative incidence rates between school-based indicators and sero-epidemiological pdmH1N1 incidence (estimated from changes in prevalence of A/California/7/2009 H1N1 hemagglutination inhibition titers ≥ 40 between pre-epidemic and post-epidemic sera). Variation in Sch-FRI rates in the 6 schools was also investigated through a Bayesian hierarchical model. RESULTS: By week 30, for primary and secondary school children respectively, 63% and 79% of incidence for Sch-LCC had occurred, compared with 50% and 52% for GP-ILI data, and 48% and 53% for Sch-FRI. There were 1,187 notified cases and 7,588 episodes in the Sch-LCC and Sch-DTM systems; given school enrollment of 485,723 children, this represented 0.24 cases and 1.6 episodes per 100 children respectively. Mean Sch-FRI rate was 28.8 per 100 children (95% CI: 27.7 to 29.9) in the 6 schools. We estimate from serology that 41.8% (95% CI: 30.2% to 55.9%) of primary and 43.2% (95% CI: 28.2% to 60.8%) of secondary school-aged children were infected. Sch-FRI rates were similar across the 6 schools (23 to 34 episodes per 100 children), but there was widespread variation by classrooms; in the hierarchical model, omitting age and school effects was inconsequential but neglecting classroom level effects led to highly significant reductions in goodness of fit. CONCLUSIONS: Epidemic curves from Sch-FRI were comparable to GP-ILI data, and Sch-FRI detected substantially more infections than Sch-LCC and Sch-DTM. Variability in classroom attack rates suggests localized class-room transmission.
has issue date	2012-12-04(xsd:dateTime)
bibo:doi	10.1186/1471-2334-12-336
bibo:pmid	23206689
has license	cc-by
sha1sum (hex)	1008bb267f9b05fcec7b715eab47f4a5c659c7dd
schema:url	https://doi.org/10.1186/1471-2334-12-336
resource representing a document's title	Teacher led school-based surveillance can allow accurate tracking of emerging infectious diseases - evidence from serial cross-sectional surveys of febrile respiratory illness during the H1N1 2009 influenza pandemic in Singapore
has PubMed Central identifier	PMC3544582
has PubMed identifier	23206689
schema:publication	BMC Infect Dis
resource representing a document's body	covid:1008bb267f9b05fcec7b715eab47f4a5c659c7dd#body_text
is schema:about of	named entity 'SERIAL' named entity 'TEACHER' named entity 'data' named entity 'epidemiological' named entity 'infections' named entity 'influenza-like illness' named entity 'prevalence' named entity 'California' named entity 'cross-sectional' named entity 'surveys' named entity '2009 influenza pandemic' named entity 'INFLUENZA PANDEMIC' named entity 'EVIDENCE' named entity 'INITIAL' named entity 'TEMPERATURE MONITORING' covid:arg/1008bb267f9b05fcec7b715eab47f4a5c659c7dd named entity 'CROSS-SECTIONAL SURVEYS' named entity 'CHANGES' named entity 'SINGAPORE' named entity 'MONITORING SYSTEMS' named entity 'ILI' named entity 'WIDE' named entity 'COLLECTED' named entity 'WAVE' named entity 'POST' named entity 'EPIDEMIC' named entity 'BASED' named entity 'SENTINEL' named entity 'RATES' named entity 'CONFIRMED' named entity 'RESPIRATORY ILLNESS' named entity 'JUNE' named entity 'PRIMARY CARE' named entity 'FOCI OF' named entity 'SINGAPORE' named entity 'DATA' named entity 'COMPARED' named entity 'HEMAGGLUTINATION INHIBITION' named entity 'INVESTIGATED' named entity 'INFLUENZA' named entity 'PANDEMIC' named entity 'BASED' named entity 'TRACKING' named entity 'RESPIRATORY ILLNESS' named entity 'FEBRILE' named entity 'H1N1' named entity 'ACCURATE' named entity 'SCHOOL' named entity 'ALLOW' named entity 'EMERGING INFECTIOUS DISEASES' named entity 'CASES' named entity 'POTENTIAL' named entity 'AGE' named entity 'LCC' named entity 'TESTING' named entity 'LED' named entity 'WEEK' named entity 'SCH' named entity 'FRACTION OF'

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