MOAI: A methodology for evaluating the impact of indoor airflow in the transmission of COVID-19

Epidemiology models play a key role in understanding and responding to the COVID-19 pandemic. In order to build those models, scientists need to understand contributing factors and their relative importance. A large strand of literature has identified the importance of airflow to mitigate droplets a...

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Bibliographic Details
Published inarXiv.org
Main Authors Oehmichen, Axel, Guitton, Florian, Wahl, Cedric, Foing, Bertrand, Tziamtzis, Damian, Guo, Yike
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 31.03.2021
Subjects
Air flow
Coronaviruses
COVID-19
Disease transmission
Epidemiology
Pandemics
Questionnaires
Risk assessment
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Summary:Epidemiology models play a key role in understanding and responding to the COVID-19 pandemic. In order to build those models, scientists need to understand contributing factors and their relative importance. A large strand of literature has identified the importance of airflow to mitigate droplets and far-field aerosol transmission risks. However, the specific factors contributing to higher or lower contamination in various settings have not been clearly defined and quantified. As part of the MOAI project (https://moaiapp.com), we are developing a privacy-preserving test and trace app to enable infection cluster investigators to get in touch with patients without having to know their identity. This approach allows involving users in the fight against the pandemic by contributing additional information in the form of anonymous research questionnaires. We first describe how the questionnaire was designed, and the synthetic data was generated based on a review we carried out on the latest available literature. We then present a model to evaluate the risk exposition of a user for a given setting. We finally propose a temporal addition to the model to evaluate the risk exposure over time for a given user.
ISSN:2331-8422