An Online Influenza Surveillance System for Primary Care Workers in Switzerland: Observational Prospective Pilot Study

BackgroundA better understanding of the influenza epidemiology among primary care workers could guide future recommendations to prevent transmission in primary care practices. Therefore, we designed a pilot study to assess the feasibility of using a work-based online influenz...

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Main Authors: Martin, Sébastien, Maeder, Muriel Nirina, Gonçalves, Ana Rita, Pedrazzini, Baptiste, Perdrix, Jean, Rochat, Carine, Senn, Nicolas, Mueller, Yolanda
Format: Article
Language:English
Published: JMIR Publications 2020-09-01
Series:JMIR Public Health and Surveillance
Online Access:http://publichealth.jmir.org/2020/3/e17242/
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spelling doaj-71ef745a2f90432a9309b677ddf83c772021-05-03T04:37:34ZengJMIR PublicationsJMIR Public Health and Surveillance2369-29602020-09-0163e1724210.2196/17242An Online Influenza Surveillance System for Primary Care Workers in Switzerland: Observational Prospective Pilot StudyMartin, SébastienMaeder, Muriel NirinaGonçalves, Ana RitaPedrazzini, BaptistePerdrix, JeanRochat, CarineSenn, NicolasMueller, Yolanda BackgroundA better understanding of the influenza epidemiology among primary care workers could guide future recommendations to prevent transmission in primary care practices. Therefore, we designed a pilot study to assess the feasibility of using a work-based online influenza surveillance system among primary care workers. Such an approach is of particular relevance in the context of the coronavirus disease (COVID-19) pandemic, as its findings could apply to other infectious diseases with similar mechanisms of transmission. ObjectiveThis study aims to determine the feasibility of using a work-based online influenza surveillance system for primary care workers in Switzerland. MethodsPhysicians and staff of one walk-in clinic and two selected primary care practices were enrolled in this observational prospective pilot study during the 2017-2018 influenza season. They were invited to record symptoms of influenza-like illness in a weekly online survey sent by email and to self-collect a nasopharyngeal swab in case any symptoms were recorded. Samples were tested by real-time polymerase chain reaction for influenza A, influenza B, and a panel of respiratory pathogens. ResultsAmong 67 eligible staff members, 58% (n=39) consented to the study and 53% (n=36) provided data. From the time all participants were included, the weekly survey response rate stayed close to 100% until the end of the study. Of 79 symptomatic episodes (mean 2.2 episodes per participant), 10 episodes in 7 participants fitted the definition of an influenza-like illness case (attack rate: 7/36, 19%). One swab tested positive for influenza A H1N1 (attack rate: 3%, 95% CI 0%-18%). Swabbing was considered relatively easy. ConclusionsA work-based online influenza surveillance system is feasible for use among primary care workers. This promising methodology could be broadly used in future studies to improve the understanding of influenza epidemiology and other diseases such as COVID-19. This could prove to be highly useful in primary care settings and guide future recommendations to prevent transmission. A larger study will also help to assess asymptomatic infections.http://publichealth.jmir.org/2020/3/e17242/
collection DOAJ
language English
format Article
sources DOAJ
author Martin, Sébastien
Maeder, Muriel Nirina
Gonçalves, Ana Rita
Pedrazzini, Baptiste
Perdrix, Jean
Rochat, Carine
Senn, Nicolas
Mueller, Yolanda
spellingShingle Martin, Sébastien
Maeder, Muriel Nirina
Gonçalves, Ana Rita
Pedrazzini, Baptiste
Perdrix, Jean
Rochat, Carine
Senn, Nicolas
Mueller, Yolanda
An Online Influenza Surveillance System for Primary Care Workers in Switzerland: Observational Prospective Pilot Study
JMIR Public Health and Surveillance
author_facet Martin, Sébastien
Maeder, Muriel Nirina
Gonçalves, Ana Rita
Pedrazzini, Baptiste
Perdrix, Jean
Rochat, Carine
Senn, Nicolas
Mueller, Yolanda
author_sort Martin, Sébastien
title An Online Influenza Surveillance System for Primary Care Workers in Switzerland: Observational Prospective Pilot Study
title_short An Online Influenza Surveillance System for Primary Care Workers in Switzerland: Observational Prospective Pilot Study
title_full An Online Influenza Surveillance System for Primary Care Workers in Switzerland: Observational Prospective Pilot Study
title_fullStr An Online Influenza Surveillance System for Primary Care Workers in Switzerland: Observational Prospective Pilot Study
title_full_unstemmed An Online Influenza Surveillance System for Primary Care Workers in Switzerland: Observational Prospective Pilot Study
title_sort online influenza surveillance system for primary care workers in switzerland: observational prospective pilot study
publisher JMIR Publications
series JMIR Public Health and Surveillance
issn 2369-2960
publishDate 2020-09-01
description BackgroundA better understanding of the influenza epidemiology among primary care workers could guide future recommendations to prevent transmission in primary care practices. Therefore, we designed a pilot study to assess the feasibility of using a work-based online influenza surveillance system among primary care workers. Such an approach is of particular relevance in the context of the coronavirus disease (COVID-19) pandemic, as its findings could apply to other infectious diseases with similar mechanisms of transmission. ObjectiveThis study aims to determine the feasibility of using a work-based online influenza surveillance system for primary care workers in Switzerland. MethodsPhysicians and staff of one walk-in clinic and two selected primary care practices were enrolled in this observational prospective pilot study during the 2017-2018 influenza season. They were invited to record symptoms of influenza-like illness in a weekly online survey sent by email and to self-collect a nasopharyngeal swab in case any symptoms were recorded. Samples were tested by real-time polymerase chain reaction for influenza A, influenza B, and a panel of respiratory pathogens. ResultsAmong 67 eligible staff members, 58% (n=39) consented to the study and 53% (n=36) provided data. From the time all participants were included, the weekly survey response rate stayed close to 100% until the end of the study. Of 79 symptomatic episodes (mean 2.2 episodes per participant), 10 episodes in 7 participants fitted the definition of an influenza-like illness case (attack rate: 7/36, 19%). One swab tested positive for influenza A H1N1 (attack rate: 3%, 95% CI 0%-18%). Swabbing was considered relatively easy. ConclusionsA work-based online influenza surveillance system is feasible for use among primary care workers. This promising methodology could be broadly used in future studies to improve the understanding of influenza epidemiology and other diseases such as COVID-19. This could prove to be highly useful in primary care settings and guide future recommendations to prevent transmission. A larger study will also help to assess asymptomatic infections.
url http://publichealth.jmir.org/2020/3/e17242/
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