44 lines
3.5 KiB
Markdown
44 lines
3.5 KiB
Markdown
# CAiMIRA - CERN Airborne Model for Risk Assessment
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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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CAiMIRA models the concentration profile of potential virions in enclosed spaces , both as background (room) concentration and during close-proximity interactions, 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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The risk assessment tool simulates the airborne spread SARS-CoV-2 virus in a finite volume, assuming a homogenous mixture and a two-stage exhaled jet model, and estimates the risk of COVID-19 infection therein.
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The results DO NOT include the other known modes of SARS-CoV-2 transmission, such as fomite or blood-bound.
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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 good hand hygiene and other barrier measures.
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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 2022.
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It can be used to compare the effectiveness of different airborne-related risk mitigation measures.
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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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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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## Calculator
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The CAiMIRA Calculator can be accessed online [here](https://caimira.web.cern.ch/), provided you have CERN SSO (Single Sign-On) credentials. For local usage, please refer to the [documentation](#documentation) on how to install and run the calculator locally.
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## Documentation
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All instructions for installation, deployment, usage, and model assumptions and references can be found in the [official documentation](https://caimira.docs.cern.ch/).
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## Contributing
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Contributions are welcome on our [GitHub repository](https://github.com/CERN/CAiMIRA).
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## Authors & License
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Developed by CERN's HSE, Beams, and IT departments, in collaboration with WHO.
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© Copyright 2020 CERN. All rights not expressly granted are reserved.<br>
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Licensed under the Apache License, Version 2.0
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See the full [license](https://gitlab.cern.ch/caimira/caimira/-/blob/master/caimira/LICENSE) for details.
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