Assessing the Dynamics and Control of Droplet- and Aerosol-Transmitted Influenza Using an Indoor Positioning System.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
18 02 2019
Historique:
received: 23 02 2018
accepted: 19 12 2018
entrez: 20 2 2019
pubmed: 20 2 2019
medline: 28 8 2020
Statut: epublish

Résumé

There is increasing evidence that aerosol transmission is a major contributor to the spread of influenza. Despite this, virtually all studies assessing the dynamics and control of influenza assume that it is transmitted solely through direct contact and large droplets, requiring close physical proximity. Here, we use wireless sensors to measure simultaneously both the location and close proximity contacts in the population of a US high school. This dataset, highly resolved in space and time, allows us to model both droplet and aerosol transmission either in isolation or in combination. In particular, it allows us to computationally quantify the potential effectiveness of overlooked mitigation strategies such as improved ventilation that are available in the case of aerosol transmission. Our model suggests that recommendation-abiding ventilation could be as effective in mitigating outbreaks as vaccinating approximately half of the population. In simulations using empirical transmission levels observed in households, we find that bringing ventilation to recommended levels had the same mitigating effect as a vaccination coverage of 50% to 60%. Ventilation is an easy-to-implement strategy that has the potential to support vaccination efforts for effective control of influenza spread.

Identifiants

pubmed: 30778136
doi: 10.1038/s41598-019-38825-y
pii: 10.1038/s41598-019-38825-y
pmc: PMC6379436
doi:

Substances chimiques

Aerosols 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2185

Commentaires et corrections

Type : ErratumIn

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Auteurs

Timo Smieszek (T)

Modelling and Economics Unit, National Infection Service, Public Health England, London, UK.
MRC Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, Imperial College School of Public Health, London, UK.
Center for Infectious Disease Dynamics, The Pennsylvania State University, University Park, USA.

Gianrocco Lazzari (G)

Global Health Institute, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.

Marcel Salathé (M)

Global Health Institute, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland. marcel.salathe@epfl.ch.

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Classifications MeSH