diff --git a/app-config/openshift/application.yaml b/app-config/openshift/application.yaml index bf0a2898..03c3c103 100644 --- a/app-config/openshift/application.yaml +++ b/app-config/openshift/application.yaml @@ -260,8 +260,15 @@ containers: - name: cara-webservice env: + - name: COOKIE_SECRET + valueFrom: + secretKeyRef: + key: COOKIE_SECRET + name: auth-service-secrets - name: APP_NAME value: cara-webservice + - name: CARA_THEME + value: cara/apps/calculator/themes/cern image: '${PROJECT_NAME}/cara-webservice' ports: - containerPort: 8080 diff --git a/cara/apps/calculator/templates/base/calculator.report.html.j2 b/cara/apps/calculator/templates/base/calculator.report.html.j2 index 9dac5c2e..1f8d1b71 100644 --- a/cara/apps/calculator/templates/base/calculator.report.html.j2 +++ b/cara/apps/calculator/templates/base/calculator.report.html.j2 @@ -14,6 +14,11 @@ {% block report_header %} +
+ +

Report

+
+

Created {{ creation_date }} using CARA calculator version v{{ form.calculator_version }}


{% endblock report_header %} @@ -273,6 +278,24 @@ {% endblock report_results %} {% block report_footer %} +
+ + Click the QR code to regenerate the report and get a shareable link.
Alternatively, scan to regenerate the report.
Mobile-friendly app coming soon! +
+ + {% block disclaimer_container %} +


+
+ {% block disclaimer %} +

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. +

+ {% endblock disclaimer %} +
+ {% endblock disclaimer_container %} {% endblock report_footer %} diff --git a/cara/apps/calculator/themes/cern/templates/calculator.report.html.j2 b/cara/apps/calculator/themes/cern/templates/calculator.report.html.j2 index aa0348e2..f4c93509 100644 --- a/cara/apps/calculator/themes/cern/templates/calculator.report.html.j2 +++ b/cara/apps/calculator/themes/cern/templates/calculator.report.html.j2 @@ -1,13 +1,5 @@ {% extends "base/calculator.report.html.j2" %} -{% block report_header %} -
- -

Report

-
- - {{ super() }} -{% endblock report_header %} {% block report_preamble %}

Applicable rules:
@@ -18,7 +10,6 @@

  • Events with a P(i) exceeding 15% or a number of expected new cases that exceeds 1 may not take place until additional measures are in place and a risk reduction has been performed.

    • - {% endblock report_preamble %} @@ -87,21 +78,19 @@ For more information, please refer to this document from CERN HSE and this publication from the CDC.

    + {{ super() }} -
    - - Click the QR code to regenerate the report and get a shareable link.
    Alternatively, scan to regenerate the report.
    Mobile-friendly app coming soon!     -
    - -


    -
    -

    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 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, it has to be performed under a pre-defined framework and licence agreement issued by CERN Knowledge Transfer (kt@cern.ch).

    -
    {% endblock report_footer %} + +{% block disclaimer %} + {{ super() }} +

    + 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, it has to be performed under a pre-defined framework and licence agreement issued by CERN Knowledge Transfer (kt@cern.ch). +

    +{% endblock disclaimer %} + +