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# 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. | ||
The user can set a number of parameters, including room volume, exposure time, activity type, mask-wearing and ventilation. | ||
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. | ||
The results DO NOT include the other known modes of SARS-CoV-2 transmission, such as fomite or blood-bound. | ||
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. | ||
It can be used to compare the effectiveness of different airborne-related risk mitigation measures. | ||
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, amount and nature of close-range interactions and | ||
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. | ||
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 '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. | ||
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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 2020-2021 CERN. All rights not expressly granted are reserved.<br> | ||
Licensed under the Apache License, Version 2.0 | ||
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See the full [license](caimira/LICENSE) for details. |
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Original file line number | Diff line number | Diff line change |
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# CAiMIRA - CERN Airborne Model for Risk Assessment | ||
|
||
CAiMIRA is a risk assessment tool developed to model the concentration of viruses in enclosed spaces, in order to inform space-management decisions. | ||
|
||
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. | ||
The user can set a number of parameters, including room volume, exposure time, activity type, mask-wearing and ventilation. | ||
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. | ||
|
||
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. | ||
The results DO NOT include the other known modes of SARS-CoV-2 transmission, such as fomite or blood-bound. | ||
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. | ||
|
||
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. | ||
It can be used to compare the effectiveness of different airborne-related risk mitigation measures. | ||
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, amount and nature of close-range interactions and | ||
the size of the room, considering both long- and short-range airborne transmission modes of COVID-19 in indoor settings. | ||
|
||
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 '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. | ||
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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 2020-2021 CERN. All rights not expressly granted are reserved.<br> | ||
Licensed under the Apache License, Version 2.0 | ||
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See the full [license](caimira/LICENSE) for details. |