{"id":28436955,"url":"https://github.com/cern/caimira","last_synced_at":"2026-02-25T08:32:58.613Z","repository":{"id":38367200,"uuid":"457014075","full_name":"CERN/CAiMIRA","owner":"CERN","description":"CERN Airborne Model for Indoor Risk Assessment","archived":false,"fork":false,"pushed_at":"2026-02-13T16:07:22.000Z","size":20566,"stargazers_count":25,"open_issues_count":3,"forks_count":17,"subscribers_count":6,"default_branch":"master","last_synced_at":"2026-02-13T21:26:36.576Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"https://gitlab.cern.ch/caimira/caimira","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/CERN.png","metadata":{"files":{"readme":"README.md","changelog":"CHANGELOG.md","contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2022-02-08T16:30:58.000Z","updated_at":"2026-02-13T15:20:18.000Z","dependencies_parsed_at":"2023-10-24T09:34:07.876Z","dependency_job_id":"227c58a1-64b2-46ee-a46f-902b02b79486","html_url":"https://github.com/CERN/CAiMIRA","commit_stats":null,"previous_names":[],"tags_count":41,"template":false,"template_full_name":null,"purl":"pkg:github/CERN/CAiMIRA","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CERN%2FCAiMIRA","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CERN%2FCAiMIRA/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CERN%2FCAiMIRA/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CERN%2FCAiMIRA/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/CERN","download_url":"https://codeload.github.com/CERN/CAiMIRA/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CERN%2FCAiMIRA/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29815022,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-25T05:36:42.804Z","status":"ssl_error","status_checked_at":"2026-02-25T05:36:31.934Z","response_time":61,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2025-06-05T23:08:05.826Z","updated_at":"2026-02-25T08:32:58.609Z","avatar_url":"https://github.com/CERN.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# CAiMIRA - CERN Airborne Model for Risk Assessment\n\nCAiMIRA is a risk assessment tool developed to model the concentration of viruses in enclosed spaces, in order to inform space-management decisions.\n\nCAiMIRA 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.\nThe user can set a number of parameters, including room volume, exposure time, activity type, mask-wearing and ventilation.\nThe report generated indicates how to avoid exceeding critical concentrations and chains of airborne transmission in spaces such as individual offices, meeting rooms and labs.\n\nThe 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.\nThe results DO NOT include the other known modes of SARS-CoV-2 transmission, such as fomite or blood-bound.\nHence, the output from this model is only valid when the other recommended public health \u0026 safety instructions are observed, such as good hand hygiene and other barrier measures.\n\nThe model used is based on scientific publications relating to airborne transmission of infectious diseases, dose-response exposures and aerosol science, as of February 2022.\nIt can be used to compare the effectiveness of different airborne-related risk mitigation measures.\nNote 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.\nNonetheless, 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.\nThe 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\nthe size of the room, considering both long- and short-range airborne transmission modes of COVID-19 in indoor settings.\n\nThis tool is designed to be informative, allowing the user to adapt different settings and model the relative impact on the estimated infection probabilities.\nThe objective is to facilitate targeted decision-making and investment through comparisons, rather than a singular determination of absolute risk.\nWhile the SARS-CoV-2 virus is in circulation among the population, the notion of 'zero risk' or 'completely safe scenario' does not exist.\nEach event modelled is unique, and the results generated therein are only as accurate as the inputs and assumptions.\n\n## Calculator\n\nThe 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.\n\n## Documentation\n\nAll instructions for installation, deployment, usage, and model assumptions and references can be found in the [official documentation](https://caimira.docs.cern.ch/).\n\n## Contributing\n\nContributions are welcome on our [GitHub repository](https://github.com/CERN/CAiMIRA).\n\n## Authors \u0026 License\n\nDeveloped by CERN's HSE, Beams, and IT departments, in collaboration with WHO.\n\n© Copyright 2020 CERN. All rights not expressly granted are reserved.\u003cbr\u003e\nLicensed under the Apache License, Version 2.0\n\nSee the full [license](https://gitlab.cern.ch/caimira/caimira/-/blob/master/caimira/LICENSE) for details.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcern%2Fcaimira","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcern%2Fcaimira","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcern%2Fcaimira/lists"}