From a6bb522de9b601c06b5cb7b125ba72f7f3639af1 Mon Sep 17 00:00:00 2001 From: Andre Henriques Date: Mon, 7 Jun 2021 12:19:44 +0000 Subject: [PATCH] Update userguide for mc --- .../apps/calculator/templates/userguide.html.j2 | 17 ++++++++--------- 1 file changed, 8 insertions(+), 9 deletions(-) diff --git a/cara/apps/calculator/templates/userguide.html.j2 b/cara/apps/calculator/templates/userguide.html.j2 index 013a1763..f519a9bb 100644 --- a/cara/apps/calculator/templates/userguide.html.j2 +++ b/cara/apps/calculator/templates/userguide.html.j2 @@ -8,7 +8,7 @@

This is a guide to help you use the calculator app. If you are using the expert version of the tool, you should look at the expert notes.

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 methodology, mathematical equations and parameters of the model are described here: https://edms.cern.ch/ui/file/2566402/1/CARA_Deterministic_parameters_2020.pdf

+

The methodology, mathematical equations and parameters of the model are described here in the CERN Report: CERN-OPEN-2021-004

Disclaimer

@@ -172,26 +172,25 @@ Please check what are the applicable rules, before deciding which assumptions ar Please confirm what are the applicable rules, before deciding which assumptions are used for the simulation

For the time being only the Type 1 surgical and FFP2 masks can be selected.

Generate Report

-

When you have entered all the necessary information, please click on the Generate Report button to execute the model.

+

When you have entered all the necessary information, please click on the Generate Report button to execute the model. With the implementation of Monte Carlo simulations, the browser might take a few secounds to react.

Report

The report will open in your web browser. It contains a summary of all the input data, which will allow the simulation to be repeated if required in the future as we improve the model.

Results

-

This part of the report shows the P(i) or probability of one exposed person getting infected. +

This part of the report shows the P(I) or probability of one exposed person getting infected. It is estimated based on the emission rate of virus into the simulated volume, and the amount which is inhaled by exposed individuals. -This probability is valid for the simulation duration - i.e. if you have simulated one day and plan to work 5 days in these conditions and the infected person emits the same amount of virus each day, the cumulative probability of infection is (1-(1-P(i))^5). +This probability is valid for the simulation duration - i.e. the start and end time. If you are using the natural ventilation option, the simulation is only valid for the selected month, because the following or preceding month will have a different average temperature profile. The expected number of new cases for the simulation is calculated based on the probability of infection, multiplied by the number of exposed occupants.

-

Exposure graph

-

The graph shows the variation in the concentration of infectious quanta (one quanta is the amount of inhaled virus that can cause infection in 63% of the exposed occupants) within the simulated volume. +

The graph shows the variation in the concentration of infectious viruses within the simulated volume. It is determined by:

@@ -204,7 +203,7 @@ This allows for:

Conclusion

This tool provides informative comparisons for COVID-19 (long-range) airborne risk only - see Disclaimer -If you have any comments on your experience with the app, or feedback for potential improvements, please share them with the development team at cara-dev@cern.ch.

+If you have any comments on your experience with the app, or feedback for potential improvements, please share them with the development team Send email.

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