School absenteeism as an adjunct surveillance indicator: experience during the second wave of the 2009 H1N1 pandemic in Quebec, Canada.
<h4>Background</h4>A school absenteeism surveillance system was implemented in the province of Quebec, Canada during the second wave of the 2009 H1N1 pandemic. This paper compares this surveillance approach with other available indicators.<h4>Method</h4>All (3432) elementary...
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2012
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oai:doaj.org-article:b048c01f6a5c46aebd4373ce8eae3c1c2021-11-18T07:23:37ZSchool absenteeism as an adjunct surveillance indicator: experience during the second wave of the 2009 H1N1 pandemic in Quebec, Canada.1932-620310.1371/journal.pone.0034084https://doaj.org/article/b048c01f6a5c46aebd4373ce8eae3c1c2012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22479531/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>A school absenteeism surveillance system was implemented in the province of Quebec, Canada during the second wave of the 2009 H1N1 pandemic. This paper compares this surveillance approach with other available indicators.<h4>Method</h4>All (3432) elementary and high schools from Quebec were included. Each school was required to report through a web-based system any day where the proportion of students absent for influenza-like illness (ILI) exceeded 10% of current school enrolment.<h4>Results</h4>Between October 18 and December 12 2009, 35.6% of all schools met the 10% absenteeism threshold. This proportion was greater in elementary compared to high schools (40% vs 19%) and in smaller compared to larger schools (44% vs 22%). The maximum absenteeism rate was reached the first day of reporting or within the next two days in 55% and 31% of schools respectively. The first reports and subsequent peak in school absenteeism provincially preceded the peak in paediatric hospitalization by two and one weeks, respectively. Trends in school surveillance otherwise mirrored other indicators.<h4>Conclusion</h4>During a pandemic, school outbreak surveillance based on a 10% threshold appears insufficient to trigger timely intervention within a given affected school. However, school surveillance appears well-correlated and slightly anticipatory compared to other population indicators. As such, school absenteeism warrants further evaluation as an adjunct surveillance indicator whose overall utility will depend upon specified objectives, and other existing capacity for monitoring and response.Christelle Aïcha Kom MogtoGaston De SerresMonique Douville FradetGermain LebelSteve ToutantRodica GilcaManale OuakkiNaveed Zafar JanjuaDanuta M SkowronskiPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 3, p e34084 (2012) |
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Medicine R Science Q Christelle Aïcha Kom Mogto Gaston De Serres Monique Douville Fradet Germain Lebel Steve Toutant Rodica Gilca Manale Ouakki Naveed Zafar Janjua Danuta M Skowronski School absenteeism as an adjunct surveillance indicator: experience during the second wave of the 2009 H1N1 pandemic in Quebec, Canada. |
| description |
<h4>Background</h4>A school absenteeism surveillance system was implemented in the province of Quebec, Canada during the second wave of the 2009 H1N1 pandemic. This paper compares this surveillance approach with other available indicators.<h4>Method</h4>All (3432) elementary and high schools from Quebec were included. Each school was required to report through a web-based system any day where the proportion of students absent for influenza-like illness (ILI) exceeded 10% of current school enrolment.<h4>Results</h4>Between October 18 and December 12 2009, 35.6% of all schools met the 10% absenteeism threshold. This proportion was greater in elementary compared to high schools (40% vs 19%) and in smaller compared to larger schools (44% vs 22%). The maximum absenteeism rate was reached the first day of reporting or within the next two days in 55% and 31% of schools respectively. The first reports and subsequent peak in school absenteeism provincially preceded the peak in paediatric hospitalization by two and one weeks, respectively. Trends in school surveillance otherwise mirrored other indicators.<h4>Conclusion</h4>During a pandemic, school outbreak surveillance based on a 10% threshold appears insufficient to trigger timely intervention within a given affected school. However, school surveillance appears well-correlated and slightly anticipatory compared to other population indicators. As such, school absenteeism warrants further evaluation as an adjunct surveillance indicator whose overall utility will depend upon specified objectives, and other existing capacity for monitoring and response. |
| format |
article |
| author |
Christelle Aïcha Kom Mogto Gaston De Serres Monique Douville Fradet Germain Lebel Steve Toutant Rodica Gilca Manale Ouakki Naveed Zafar Janjua Danuta M Skowronski |
| author_facet |
Christelle Aïcha Kom Mogto Gaston De Serres Monique Douville Fradet Germain Lebel Steve Toutant Rodica Gilca Manale Ouakki Naveed Zafar Janjua Danuta M Skowronski |
| author_sort |
Christelle Aïcha Kom Mogto |
| title |
School absenteeism as an adjunct surveillance indicator: experience during the second wave of the 2009 H1N1 pandemic in Quebec, Canada. |
| title_short |
School absenteeism as an adjunct surveillance indicator: experience during the second wave of the 2009 H1N1 pandemic in Quebec, Canada. |
| title_full |
School absenteeism as an adjunct surveillance indicator: experience during the second wave of the 2009 H1N1 pandemic in Quebec, Canada. |
| title_fullStr |
School absenteeism as an adjunct surveillance indicator: experience during the second wave of the 2009 H1N1 pandemic in Quebec, Canada. |
| title_full_unstemmed |
School absenteeism as an adjunct surveillance indicator: experience during the second wave of the 2009 H1N1 pandemic in Quebec, Canada. |
| title_sort |
school absenteeism as an adjunct surveillance indicator: experience during the second wave of the 2009 h1n1 pandemic in quebec, canada. |
| publisher |
Public Library of Science (PLoS) |
| publishDate |
2012 |
| url |
https://doaj.org/article/b048c01f6a5c46aebd4373ce8eae3c1c |
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