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Covid-19 : ce simulateur estime vos risques de contamination en fonction de votre situation précise
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A new model to predict the exposure risk of COVID-19 has been developed by professors at MIT.
The model takes into account risk factors like the size of the space, the kinds of activity, whether masks are worn, and the ventilation and filtration rates.
This can allow policymakers, businesses, schools, and individuals to gauge their own risk.
Two MIT professors have proposed a new approach to estimating the risks of exposure to Covid-19 under different indoor settings. The guideline they developed suggests a limit for exposure time, based on the number of people, the size of the space, the kinds of activity, whether masks are worn, and the ventilation and filtration rates. Their model offers a detailed, physics-based guideline for policymakers, businesses, schools, and individuals trying to gauge their own risks.
A new approach to estimate the risks of exposure to COVID-19 under different indoor settings
Two MIT professors have proposed a new approach to estimating the risks of exposure to Covid-19 under different indoor settings.
The guideline they developed suggests a limit for exposure time, based on the number of people, the size of the space, the kinds of activity, whether masks are worn, and the ventilation and filtration rates. Their model offers a detailed, physics-based guideline for policymakers, businesses, schools, and individuals trying to gauge their own risks.
The guideline, appearing this week in the journal
PNAS, was developed by Martin .Z. Bazant, professor of chemical engineering and applied mathematics, and John W. M. Bush, professor of applied mathematics. They stress that one key feature of their model, which has received less attention in existing public-health policies, is providing a specific limit for the amount of time a person spends in a given setting.
Caption: Two MIT professors have proposed a new approach to estimating the risks of exposure to Covid-19 under different indoor settings based on the number of people, the size of the space, the kinds of activity, whether masks are worn, and the ventilation and filtration rates. Credits: Image: Jose-Luis Olivares, MIT; images from iStockphoto Terms of Use: Images for download on the MIT News office website are made available to non-commercial entities, press and the general public under a Creative Commons Attribution Non-Commercial No Derivatives license. You may not alter the images provided, other than to crop them to size. A credit line must be used when reproducing images; if one is not provided
A method to assess COVID-19 transmission risks in indoor settings
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