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Estimating the super-spreading rate at workplaces using bluetooth technology

Vazquez, Alexei and Stäbler, Maximilian and Khanin, Alexander and Lichte, Daniel and Brucherseifer, Eva (2021) Estimating the super-spreading rate at workplaces using bluetooth technology. [Other]

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Official URL: https://www.medrxiv.org/content/10.1101/2021.03.04.21252550v1

Abstract

Workplaces deploy internal guidelines to remain operational during the ongoing COVID-19 pandemic. It is challenging to assess whether those interventions will prevent super-spreading events, where an infected individual transmits the disease to 10 or more secondary cases. Here we provide a model of infectious disease at the level of a workplace to address that problem. We take as input proximity contact records based on bluetooth technology and the infectious disease parameters from the literature. Using proximity contact data for a case-study workplace and an infection transmission model, we estimate the SARS-CoV-2 transmission rate as 0.014 per proximity contact, going up to 0.041 for the SARS-CoV-2 B.1.1.7 variant first detected in the UK. Defining super-spreading as events with 10 or more secondary infections, we obtain a super-spreading event rate of 2.3 per 1000 imported SARS-CoV-2 cases, rising up to 13.7 for SARS-CoV-2 B.1.1.7. This methodology provides the means for workplaces to determine their internal super-spreading rate or other infection related risks.

Item URL in elib:https://elib.dlr.de/148418/
Document Type:Other
Title:Estimating the super-spreading rate at workplaces using bluetooth technology
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Vazquez, Alexeiavazque1 (at) protonmail.comhttps://orcid.org/0000-0003-2764-3244
Stäbler, Maximilianmaximilian.staebler (at) dlr.deUNSPECIFIED
Khanin, Alexanderalexander.khanin (at) dlr.deUNSPECIFIED
Lichte, DanielDaniel.Lichte (at) dlr.dehttps://orcid.org/0000-0003-3314-5823
Brucherseifer, EvaEva.Brucherseifer (at) dlr.dehttps://orcid.org/0000-0001-9810-7671
Date:8 March 2021
Journal or Publication Title:medRxiv
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI :10.1101/2021.03.04.21252550
Series Name:Infectious Diseases (except HIV/AIDS)
Status:Published
Keywords:covid-19, pandemic, workplaces, interventions, crisis management
HGF - Research field:other
HGF - Program:other
HGF - Program Themes:other
DLR - Research area:no assignment
DLR - Program:no assignment
DLR - Research theme (Project):no assignment
Location: Rhein-Sieg-Kreis
Institutes and Institutions:Institute for the Protection of Terrestrial Infrastructures > Digital Twins of Infrastructures
Institute for the Protection of Terrestrial Infrastructures > Resilience – Models and Methods
Deposited By: Brucherseifer, Prof. Dr. Eva
Deposited On:19 Jan 2022 17:57
Last Modified:19 Jan 2022 17:57

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