From 5eb87372be7c160f37743735049725c1a7bb309e Mon Sep 17 00:00:00 2001
From: Phil Elson \n",
"Airborne Transmission of SARS-CoV-2\n",
- "
\n",
"
\n", + "Please see the CARA homepage for details on the methodology, assumptions and limitations of CARA.
" ] }, { diff --git a/cara/apps/calculator/templates/base/calculator.report.html.j2 b/cara/apps/calculator/templates/base/calculator.report.html.j2 index bb4e57a4..1471e6b4 100644 --- a/cara/apps/calculator/templates/base/calculator.report.html.j2 +++ b/cara/apps/calculator/templates/base/calculator.report.html.j2 @@ -293,11 +293,36 @@
Disclaimer:
The risk assessment tool simulates the long-range airborne spread SARS-CoV-2 virus in a finite volume, assuming a homogenous mixture, and estimates the risk of COVID-19 infection therein. The results DO NOT include short-range airborne exposure (where the physical distance plays a factor) nor the other known modes of SARS-CoV-2 transmission. 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.
- The model used is based on scientific publications relating to airborne transmission of infectious diseases, dose-response exposures and aerosol science, as of December 2020 . 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 and the size of the room, only considering long-range airborne transmission 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 a '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.
-
+ CARA is a risk assessment tool developed to model the concentration of viruses in enclosed spaces, in order to inform space-management decisions. +
++ CARA models the concentration profile of potential infectious viruses in enclosed spaces 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 long-range airborne spread SARS-CoV-2 virus in a finite volume, assuming a homogenous mixture, and estimates the risk of COVID-19 infection therein. + The results DO NOT include short-range airborne exposure (where the physical distance is a significant factor) nor the other known modes of SARS-CoV-2 transmission. + 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. +
++ 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. + 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 and + the size of the room, only considering long-range airborne transmission 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. +
{% endblock disclaimer %}This software is provided with a disclaimer and code license.
+ CARA is a risk assessment tool developed to model the concentration of viruses in enclosed spaces, in order to inform space-management decisions. +
++ CARA models the concentration profile of potential infectious viruses in enclosed spaces 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 long-range airborne spread SARS-CoV-2 virus in a finite volume, assuming a homogenous mixture, and estimates the risk of COVID-19 infection therein. + The results DO NOT include short-range airborne exposure (where the physical distance is a significant factor) nor the other known modes of SARS-CoV-2 transmission. + 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. +
++ 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. + 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 and + the size of the room, only considering long-range airborne transmission 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. +
For more information on the Airborne Transmission of SARS-CoV-2, feel free to check out the HSE Seminar: https://cds.cern.ch/record/2743403
The risk assessment tool simulates the long-range airborne spread SARS-CoV-2 virus in a finite volume, assuming a homogenous mixture, and estimates the risk of COVID-19 infection therein. -The results DO NOT include short-range airborne exposure (where the physical distance plays a factor) nor the other known modes of SARS-CoV-2 transmission. -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.
-The model used is based on scientific publications relating to airborne transmission of infectious diseases, dose-response exposures and aerosol science, as of December 2020 . 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 and the size of the room, only considering long-range airborne transmission 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 a '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.
+ ++ CARA is a risk assessment tool developed to model the concentration of viruses in enclosed spaces, in order to inform space-management decisions. +
++ CARA models the concentration profile of potential infectious viruses in enclosed spaces 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 long-range airborne spread SARS-CoV-2 virus in a finite volume, assuming a homogenous mixture, and estimates the risk of COVID-19 infection therein. + The results DO NOT include short-range airborne exposure (where the physical distance is a significant factor) nor the other known modes of SARS-CoV-2 transmission. + 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. +
++ 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. + 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 and + the size of the room, only considering long-range airborne transmission 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. +
+In order to be able to trace back the simulations in your workplace risk assessments, performed with the tool, you can give each one a unique name - for example "Office use on Tuesday mornings". diff --git a/cara/apps/templates/index.html.j2 b/cara/apps/templates/index.html.j2 index 9713067c..a5e4fc3c 100644 --- a/cara/apps/templates/index.html.j2 +++ b/cara/apps/templates/index.html.j2 @@ -16,16 +16,31 @@
+ CARA is a risk assessment tool developed to model the concentration of viruses in enclosed spaces, in order to inform space-management decisions. + It does this by simulating the long-range airborne spread SARS-CoV-2 virus in a finite volume, assuming homogenous mixing, and it estimates the risk of COVID-19 infection therein. + Please see the about page for more details on the methodology, assumptions and limitations of CARA. +
++ The full CARA source code can be accessed freely under an Apache 2.0 open source license from our code repository. + It includes detailed instructions on how to run your own version of this tool. +
+ CARA has been developed by CERN with the intention of allowing members of personnel with roles related to supervision, health & safety or space management to simulate the concerned workplaces on CERN sites. + A hosted CERN version of the CARA Covid Calculator is available on this site to members of the CERN personnel. +
+
We thank CERN’s HSE Unit, Beams Department, Experimental Physics Department and Information Technology Department for their continuous support. Thanks to Doris Forkel-Wirth, Olga Beltramello, Letizia Di Giulio, Evelyne Dho and the other members of the office occupancy working group for providing expert advice and extensively testing the tool. We thank Fabienne Landua and the Design and Visual Identity Service for preparing the logo. Thanks also to colleagues like Oriol Rios, Marco Andreini, Lina Dimovasili for the technical discussions and advice. Many thanks to the work and research performed by world leading scientists in this domain: Prof. Manuel Gameiro, Prof. Shelly Miller, Prof. Linsey Marr, Prof. Jose Jimenez, Dr. Lidia Morawska, Prof Yuguo Li – their contribution was indispensable for this project. - +
- -- CARA is made available for internal CERN use only. It is intended for Members of Personnel with roles related to Supervision, Health & Safety or Space Management, in order to simulate the concerned workplaces on CERN sites. For use outside of this scope, please contact CERN Knowledge Transfer (kt@cern.ch). - -
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