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

<p>Abstract</p> <p>Background</p> <p>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,...

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Main Authors: Soh Shu E, Cook Alex R, Chen Mark IC, Lee Vernon J, Cutter Jeffery L, Chow Vincent TK, Tee Nancy WS, Lin Raymond TP, Lim Wei-Yen, Barr Ian G, Lin Cui, Phoon Meng, Ang Li, Sethi Sunil K, Chong Chia, Goh Lee, Goh Denise LM, Tambyah Paul A, Thoon Koh, Leo Yee, Saw Seang
Format: Article
Language:English
Published: BMC 2012-12-01
Series:BMC Infectious Diseases
Subjects:
Online Access:http://www.biomedcentral.com/1471-2334/12/336
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spelling doaj-5791d3e83e82462084a396c15bb4b04b2020-11-25T03:43:01ZengBMCBMC Infectious Diseases1471-23342012-12-0112133610.1186/1471-2334-12-336Teacher 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 SingaporeSoh Shu ECook Alex RChen Mark ICLee Vernon JCutter Jeffery LChow Vincent TKTee Nancy WSLin Raymond TPLim Wei-YenBarr Ian GLin CuiPhoon MengAng LiSethi Sunil KChong ChiaGoh LeeGoh Denise LMTambyah Paul AThoon KohLeo YeeSaw Seang<p>Abstract</p> <p>Background</p> <p>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.</p> <p>Methods</p> <p>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.</p> <p>Results</p> <p>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.</p> <p>Conclusions</p> <p>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.</p> http://www.biomedcentral.com/1471-2334/12/336Respiratory tract infectionsVaccinationSerology
collection DOAJ
language English
format Article
sources DOAJ
author Soh Shu E
Cook Alex R
Chen Mark IC
Lee Vernon J
Cutter Jeffery L
Chow Vincent TK
Tee Nancy WS
Lin Raymond TP
Lim Wei-Yen
Barr Ian G
Lin Cui
Phoon Meng
Ang Li
Sethi Sunil K
Chong Chia
Goh Lee
Goh Denise LM
Tambyah Paul A
Thoon Koh
Leo Yee
Saw Seang
spellingShingle Soh Shu E
Cook Alex R
Chen Mark IC
Lee Vernon J
Cutter Jeffery L
Chow Vincent TK
Tee Nancy WS
Lin Raymond TP
Lim Wei-Yen
Barr Ian G
Lin Cui
Phoon Meng
Ang Li
Sethi Sunil K
Chong Chia
Goh Lee
Goh Denise LM
Tambyah Paul A
Thoon Koh
Leo Yee
Saw Seang
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
BMC Infectious Diseases
Respiratory tract infections
Vaccination
Serology
author_facet Soh Shu E
Cook Alex R
Chen Mark IC
Lee Vernon J
Cutter Jeffery L
Chow Vincent TK
Tee Nancy WS
Lin Raymond TP
Lim Wei-Yen
Barr Ian G
Lin Cui
Phoon Meng
Ang Li
Sethi Sunil K
Chong Chia
Goh Lee
Goh Denise LM
Tambyah Paul A
Thoon Koh
Leo Yee
Saw Seang
author_sort Soh Shu E
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
title_short 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_sort 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
publisher BMC
series BMC Infectious Diseases
issn 1471-2334
publishDate 2012-12-01
description <p>Abstract</p> <p>Background</p> <p>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.</p> <p>Methods</p> <p>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.</p> <p>Results</p> <p>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.</p> <p>Conclusions</p> <p>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.</p>
topic Respiratory tract infections
Vaccination
Serology
url http://www.biomedcentral.com/1471-2334/12/336
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