Skip to main content

CAiMIRA - CERN Airborne Model for Indoor Risk Assessment

Project description

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.

Calculator

The CAiMIRA Calculator can be accessed online here, provided you have CERN SSO (Single Sign-On) credentials. For local usage, please refer to the documentation on how to install and run the calculator locally.

Documentation

All instructions for installation, deployment, usage, and model assumptions and references can be found in the official documentation.

Contributing

Contributions are welcome on our GitHub repository.

Authors & License

Developed by CERN's HSE, Beams, and IT departments, in collaboration with WHO.

© Copyright 2020 CERN. All rights not expressly granted are reserved.
Licensed under the Apache License, Version 2.0

See the full license for details.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

caimira-4.17.7.tar.gz (2.3 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

caimira-4.17.7-py3-none-any.whl (2.6 MB view details)

Uploaded Python 3

File details

Details for the file caimira-4.17.7.tar.gz.

File metadata

  • Download URL: caimira-4.17.7.tar.gz
  • Upload date:
  • Size: 2.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for caimira-4.17.7.tar.gz
Algorithm Hash digest
SHA256 c259dc9953aacee79cbf15ebc824541964014250d67eef71a0aac04654b26dd6
MD5 b63442bf1de232560ebada04a4db53c4
BLAKE2b-256 1686896f3a653284c69608119872166af9f8144480b48db795c2f5ecc38f9755

See more details on using hashes here.

File details

Details for the file caimira-4.17.7-py3-none-any.whl.

File metadata

  • Download URL: caimira-4.17.7-py3-none-any.whl
  • Upload date:
  • Size: 2.6 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for caimira-4.17.7-py3-none-any.whl
Algorithm Hash digest
SHA256 dd8f4279dd95a3a2938291cccb236d3e73372ac7410b7774d3804776a6e94cbc
MD5 873acf9c96e7b2deeeb5f5bb58ce6805
BLAKE2b-256 5862fe2bc775ecc22460d9b07b82b7b9ab2e2d0bc826d32d9f0753c31d1acdb4

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page