Specified intended users of CARA
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Gaby Azzopardi
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<span id="disclaimer">The risk assessment tool simulates the long-range airborne spread SARS-CoV-2 virus in a finite volume, assuming a homogenous mixture, and estimates the risk of COVID-19 infection therein. The results DO NOT include short-range airborne exposure (where the physical distance plays a factor) nor the other known modes of SARS-CoV-2 transmission. Hence, the output from this model is only valid when the other recommended public health & safety instructions are observed, such as adequate physical distancing, good hand hygiene and other barrier measures.<br><br>
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The model used is based on scientific publications relating to airborne transmission of infectious diseases, dose-response exposures and aerosol science, as of December 2020.<br><br>
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Note that this model applies a deterministic approach, i.e., it is assumed at least one person is infected and shedding viruses into the simulated volume. Nonetheless, it is also important to understand that the absolute risk of infection is uncertain, as it will depend on the probability that someone infected attends the event. The model is most useful for comparing the impact and effectiveness of different mitigation measures such as ventilation, filtration, exposure time, physical activity and the size of the room, only considering long-range airborne transmission of COVID-19 in indoor settings.<br><br>
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This tool is designed to be informative, allowing the user to adapt different settings and model the relative impact on the estimated infection probabilities. The objective is to facilitate targeted decision-making and investment through comparisons, rather than a singular determination of absolute risk. While the SARS-CoV-2 virus is in circulation among the population, the notion of 'zero risk' or a 'completely safe scenario' does not exist. Each event modelled is unique and the results generated therein are only as accurate as the inputs and assumptions.<br><br></span>
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<br><br><b>Code License:</b><br><br>
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This tool is designed to be informative, allowing the user to adapt different settings and model the relative impact on the estimated infection probabilities. The objective is to facilitate targeted decision-making and investment through comparisons, rather than a singular determination of absolute risk. While the SARS-CoV-2 virus is in circulation among the population, the notion of 'zero risk' or a 'completely safe scenario' does not exist. Each event modelled is unique and the results generated therein are only as accurate as the inputs and assumptions.<br><br>
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CARA is made available for internal CERN use only. It is intended for Members of Personnel with roles related to Supervision, Health & Safety or Space Management, in order to simulate the concerned workplaces on CERN sites. For use outside of this scope, please contact CERN Knowledge Transfer (<a href="mailto:kt@cern.ch">kt@cern.ch</a>).<br><br></span>
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<b>Code License:</b><br><br>
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<span id="code_license">This code is licensed under GPL V3.</span></p><br>
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<button onclick="show_disclaimer()" id="myBtn" tabindex="-1">Read more</button><br><br>
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</div>
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@ -297,11 +297,12 @@ In this scenario, the estimated probability of one exposed occupant getting infe
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<br><br><br>
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<div style="border: 2px solid black; padding: 15px;">
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<p class="image"> <img <img align="middle" src="/calculator/static/images/disclaimer.jpg" width="40" height="40"><b>Disclaimer:</b><br><br></p>
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<p class="image"> <img align="middle" src="/calculator/static/images/disclaimer.jpg" width="40" height="40"><b>Disclaimer:</b><br><br></p>
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<p class="discalimer">The risk assessment tool simulates the long-range airborne spread SARS-CoV-2 virus in a finite volume, assuming a homogenous mixture, and estimates the risk of COVID-19 infection therein. The results DO NOT include short-range airborne exposure (where the physical distance plays a factor) nor the other known modes of SARS-CoV-2 transmission. Hence, the output from this model is only valid when the other recommended public health & safety instructions are observed, such as adequate physical distancing, good hand hygiene and other barrier measures.<br><br>
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The model used is based on scientific publications relating to airborne transmission of infectious diseases, dose-response exposures and aerosol science, as of December 2020 . It can be used to compare the effectiveness of different airborne-related risk mitigation measures.<br><br>
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Note that this model applies a deterministic approach, i.e., it is assumed at least one person is infected and shedding viruses into the simulated volume. Nonetheless, it is also important to understand that the absolute risk of infection is uncertain, as it will depend on the probability that someone infected attends the event. The model is most useful for comparing the impact and effectiveness of different mitigation measures such as ventilation, filtration, exposure time, physical activity and the size of the room, only considering long-range airborne transmission of COVID-19 in indoor settings.<br><br>
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This tool is designed to be informative, allowing the user to adapt different settings and model the relative impact on the estimated infection probabilities. The objective is to facilitate targeted decision-making and investment through comparisons, rather than a singular determination of absolute risk. While the SARS-CoV-2 virus is in circulation among the population, the notion of 'zero risk' or a 'completely safe scenario' does not exist. Each event modelled is unique and the results generated therein are only as accurate as the inputs and assumptions.</p>
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This tool is designed to be informative, allowing the user to adapt different settings and model the relative impact on the estimated infection probabilities. The objective is to facilitate targeted decision-making and investment through comparisons, rather than a singular determination of absolute risk. While the SARS-CoV-2 virus is in circulation among the population, the notion of 'zero risk' or a 'completely safe scenario' does not exist. Each event modelled is unique and the results generated therein are only as accurate as the inputs and assumptions.<br><br>
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CARA is made available for internal CERN use only. It is intended for Members of Personnel with roles related to Supervision, Health & Safety or Space Management, in order to simulate the concerned workplaces on CERN sites. For use outside of this scope, it has to be performed under a pre-defined framework and licence agreement issued by CERN Knowledge Transfer (<a href="mailto:kt@cern.ch">kt@cern.ch</a>).</p>
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</div>
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</body>
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</html>
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<sup>3</sup>Experimental Physics Department, Safety Office, CERN<br>
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<sup>4</sup>Beams Department, Controls Group, CERN<br>
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<sup>5</sup>Information Technology Department, Collaboration, Devices & Applications Group, CERN<br>
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<span style="height: 10vh; display: block;"></span>
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<span style="height: 5vh; display: block;"></span>
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</p>
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<h3>Acknowledgements:</h3><br>
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We thank Fabienne Landua and the Design and Visual Identity Service for preparing the logo.
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Thanks also to colleagues like Oriol Rios, Marco Andreini, Lina Dimovasili for the technical discussions and advice.
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Many thanks to the work and research performed by world leading scientists in this domain: Prof. Manuel Gameiro, Prof. Shelly Miller, Prof. Linsey Marr, Prof. Jose Jimenez, Dr. Lidia Morawska, Prof Yuguo Li – their contribution was indispensable for this project.
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<span style="height: 5vh; display: block;"></span>
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</p>
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<h3>Intended Users:</h3>
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<p>
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CARA is made available for internal CERN use only. It is intended for Members of Personnel with roles related to Supervision, Health & Safety or Space Management, in order to simulate the concerned workplaces on CERN sites. For use outside of this scope, please contact CERN Knowledge Transfer (<a href="mailto:kt@cern.ch">kt@cern.ch</a>).
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<span style="height: 10vh; display: block;"></span>
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</p>
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</div>
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</div>
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