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Cause-specific student absenteeism monitoring in K-12 schools for detection of increased influenza activity in the surrounding community—Dane County, Wisconsin, 2014–2020

BACKGROUND: Schools are primary venues of influenza amplification with secondary spread to communities. We assessed K-12 student absenteeism monitoring as a means for early detection of influenza activity in the community. MATERIALS AND METHODS: Between September 2014 and March 2020, we conducted a...

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Autores principales: Temte, Jonathan L., Barlow, Shari, Goss, Maureen, Temte, Emily, Schemmel, Amber, Bell, Cristalyne, Reisdorf, Erik, Shult, Peter, Wedig, Mary, Haupt, Thomas, Conway, James H., Gangnon, Ronald, Uzicanin, Amra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9017898/
https://www.ncbi.nlm.nih.gov/pubmed/35439269
http://dx.doi.org/10.1371/journal.pone.0267111
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author Temte, Jonathan L.
Barlow, Shari
Goss, Maureen
Temte, Emily
Schemmel, Amber
Bell, Cristalyne
Reisdorf, Erik
Shult, Peter
Wedig, Mary
Haupt, Thomas
Conway, James H.
Gangnon, Ronald
Uzicanin, Amra
author_facet Temte, Jonathan L.
Barlow, Shari
Goss, Maureen
Temte, Emily
Schemmel, Amber
Bell, Cristalyne
Reisdorf, Erik
Shult, Peter
Wedig, Mary
Haupt, Thomas
Conway, James H.
Gangnon, Ronald
Uzicanin, Amra
author_sort Temte, Jonathan L.
collection PubMed
description BACKGROUND: Schools are primary venues of influenza amplification with secondary spread to communities. We assessed K-12 student absenteeism monitoring as a means for early detection of influenza activity in the community. MATERIALS AND METHODS: Between September 2014 and March 2020, we conducted a prospective observational study of all-cause (a-TOT), illness-associated (a-I), and influenza-like illness–associated (a-ILI) absenteeism within the Oregon School District (OSD), Dane County, Wisconsin. Absenteeism was reported through the electronic student information system. Students were visited at home where pharyngeal specimens were collected for influenza RT-PCR testing. Surveillance of medically-attended laboratory-confirmed influenza (MAI) occurred in five primary care clinics in and adjoining the OSD. Poisson general additive log linear regression models of daily counts of absenteeism and MAI were compared using correlation analysis. FINDINGS: Influenza was detected in 723 of 2,378 visited students, and in 1,327 of 4,903 MAI patients. Over six influenza seasons, a-ILI was significantly correlated with MAI in the community (r = 0.57; 95% CI: 0.53–0.63) with a one-day lead time and a-I was significantly correlated with MAI in the community (r = 0.49; 0.44–0.54) with a 10-day lead time, while a-TOT performed poorly (r = 0.27; 0.21–0.33), following MAI by six days. DISCUSSION: Surveillance using cause-specific absenteeism was feasible and performed well over a study period marked by diverse presentations of seasonal influenza. Monitoring a-I and a-ILI can provide early warning of seasonal influenza in time for community mitigation efforts.
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spelling pubmed-90178982022-04-20 Cause-specific student absenteeism monitoring in K-12 schools for detection of increased influenza activity in the surrounding community—Dane County, Wisconsin, 2014–2020 Temte, Jonathan L. Barlow, Shari Goss, Maureen Temte, Emily Schemmel, Amber Bell, Cristalyne Reisdorf, Erik Shult, Peter Wedig, Mary Haupt, Thomas Conway, James H. Gangnon, Ronald Uzicanin, Amra PLoS One Research Article BACKGROUND: Schools are primary venues of influenza amplification with secondary spread to communities. We assessed K-12 student absenteeism monitoring as a means for early detection of influenza activity in the community. MATERIALS AND METHODS: Between September 2014 and March 2020, we conducted a prospective observational study of all-cause (a-TOT), illness-associated (a-I), and influenza-like illness–associated (a-ILI) absenteeism within the Oregon School District (OSD), Dane County, Wisconsin. Absenteeism was reported through the electronic student information system. Students were visited at home where pharyngeal specimens were collected for influenza RT-PCR testing. Surveillance of medically-attended laboratory-confirmed influenza (MAI) occurred in five primary care clinics in and adjoining the OSD. Poisson general additive log linear regression models of daily counts of absenteeism and MAI were compared using correlation analysis. FINDINGS: Influenza was detected in 723 of 2,378 visited students, and in 1,327 of 4,903 MAI patients. Over six influenza seasons, a-ILI was significantly correlated with MAI in the community (r = 0.57; 95% CI: 0.53–0.63) with a one-day lead time and a-I was significantly correlated with MAI in the community (r = 0.49; 0.44–0.54) with a 10-day lead time, while a-TOT performed poorly (r = 0.27; 0.21–0.33), following MAI by six days. DISCUSSION: Surveillance using cause-specific absenteeism was feasible and performed well over a study period marked by diverse presentations of seasonal influenza. Monitoring a-I and a-ILI can provide early warning of seasonal influenza in time for community mitigation efforts. Public Library of Science 2022-04-19 /pmc/articles/PMC9017898/ /pubmed/35439269 http://dx.doi.org/10.1371/journal.pone.0267111 Text en https://creativecommons.org/publicdomain/zero/1.0/This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
Temte, Jonathan L.
Barlow, Shari
Goss, Maureen
Temte, Emily
Schemmel, Amber
Bell, Cristalyne
Reisdorf, Erik
Shult, Peter
Wedig, Mary
Haupt, Thomas
Conway, James H.
Gangnon, Ronald
Uzicanin, Amra
Cause-specific student absenteeism monitoring in K-12 schools for detection of increased influenza activity in the surrounding community—Dane County, Wisconsin, 2014–2020
title Cause-specific student absenteeism monitoring in K-12 schools for detection of increased influenza activity in the surrounding community—Dane County, Wisconsin, 2014–2020
title_full Cause-specific student absenteeism monitoring in K-12 schools for detection of increased influenza activity in the surrounding community—Dane County, Wisconsin, 2014–2020
title_fullStr Cause-specific student absenteeism monitoring in K-12 schools for detection of increased influenza activity in the surrounding community—Dane County, Wisconsin, 2014–2020
title_full_unstemmed Cause-specific student absenteeism monitoring in K-12 schools for detection of increased influenza activity in the surrounding community—Dane County, Wisconsin, 2014–2020
title_short Cause-specific student absenteeism monitoring in K-12 schools for detection of increased influenza activity in the surrounding community—Dane County, Wisconsin, 2014–2020
title_sort cause-specific student absenteeism monitoring in k-12 schools for detection of increased influenza activity in the surrounding community—dane county, wisconsin, 2014–2020
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9017898/
https://www.ncbi.nlm.nih.gov/pubmed/35439269
http://dx.doi.org/10.1371/journal.pone.0267111
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