64 lines
4.9 KiB
Django/Jinja
64 lines
4.9 KiB
Django/Jinja
## Main Developers
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<h4 class="contributors">Andre Henriques<sup>1</sup>, Luis Aleixo<sup>1</sup>, Marco Andreini<sup>1</sup>, Gabriella Azzopardi<sup>2</sup>, James Devine<sup>3</sup>, Philip Elson<sup>4</sup>, Nicolas Mounet<sup>2</sup>, Markus Kongstein Rognlien<sup>2,6</sup>, Nicola Tarocco<sup>5</sup></h4><br>
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<sup>1</sup>HSE Unit, Occupational Health & Safety Group, CERN<br>
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<sup>2</sup>Beams Department, Accelerators and Beam Physics Group, CERN<br>
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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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<sup>6</sup>Norwegian University of Science and Technology (NTNU)<br>
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## Code Contributors
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<h4 class="contributors">Anna Efimova<sup>1,2</sup>, Anel Massalimova<sup>1,3</sup>, Cole Austin Coughlin<sup>1,4</sup>, Germain Personne<sup>5</sup></h4>
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<sup>1</sup>Summer Student Programme, CERN<br>
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<sup>2</sup>M.V. Lomonosov Moscow State University<br>
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<sup>3</sup>National Research Nuclear University "MEPhI"<br>
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<sup>4</sup>University of Manitoba<br>
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<sup>5</sup>Université Clermont Auvergne<br>
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## Acknowledgements
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We wish to thank CERN at the different Departments working on the project: Occupational Health & Safety and Environmental Protection Unit, Information Technology Department, Beams Department, Experimental Physics Department, Industry, Procurement and Knowledge Transfer Department and International Relations Sector for their support to the study.
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We also wish to thank our collaborators at the World Health Organization (WHO) for thier endless support to this project, in particular to the members of the ARIA Expert Group.
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## Disclaimer
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<p>
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CAiMIRA is a risk assessment tool developed to model the concentration of viruses in enclosed spaces, in order to inform space-management decisions.
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</p>
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<p>
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CAiMIRA models the concentration profile of virions in enclosed spaces with clear and intuitive graphs.
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The user can set a number of parameters, including room volume, exposure time, activity type, mask-wearing and ventilation.
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The report generated indicates how to avoid exceeding critical concentrations and chains of airborne transmission in spaces such as individual offices, meeting rooms and labs.
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</p>
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<p>
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The risk assessment tool simulates the airborne spread SARS-CoV-2 virus in a finite volume, assuming homogenous mixing for the long-range component and a two-stage jet model for short-range, and estimates the risk of COVID-19 airborne transmission therein.
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The results DO NOT include other known modes of SARS-CoV-2 transmission, such as contact or fomite.
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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.
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</p>
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<p>
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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 February 2021.
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It can be used to compare the effectiveness of different airborne-related risk mitigation measures.
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</p>
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<p>
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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.
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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.
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The model is most useful for comparing the impact and effectiveness of different mitigation measures such as ventilation, filtration, exposure time, physical activity, amount and nature of close-range interactions and
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the size of the room, considering both long- and short-range airborne transmission modes of COVID-19 in indoor settings.
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</p>
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<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.
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The objective is to facilitate targeted decision-making and investment through comparisons, rather than a singular determination of absolute risk.
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While the SARS-CoV-2 virus is in circulation among the population, the notion of 'zero risk' or 'completely safe scenario' does not exist.
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Each event modelled is unique, and the results generated therein are only as accurate as the inputs and assumptions.
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</p>
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<p>
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CAiMIRA has not undergone review, approval or certification by competent authorities, and as a result, it cannot be considered
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as a fully endorsed and reliable tool, namely in the assessment of potential viral emissions from infected hosts to be modelled.
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</p>
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## References
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Relevant literature references can be found in the paper: <a href="https://cds.cern.ch/record/2756083">Modelling airborne transmission of SARS-CoV-2 using CARA: risk assessment for enclosed spaces</a>.
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