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Add a disclaimer about the repository, and remove the inaccurate GPL statement.

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Phil Elson 2021-03-03 16:55:42 +01:00
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README.md
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@ -16,6 +16,19 @@ A tool to interact with various parameters of the CARA model.
This is currently in beta, and can be found at https://cara.web.cern.ch/expert-app.
## Disclaimer
The code and data of this repository are provided to promote reproducible research.
They are not intended for clinical care or commercial use.
The software is provided "as is", without warranty of any kind, express or implied,
including but not limited to the warranties of merchantability, fitness for a particular
purpose and non infringement.
In no event shall the authors or copyright holders be liable for any claim, damages
or other liability, whether in an action of contract, tort or otherwise, arising from,
out of or in connection with the software or the use or other dealings in the software.
## Development guide
### Running the COVID calculator app locally
@ -71,7 +84,7 @@ The https://cern.ch/cara application is running on CERN's OpenShift platform. In
We have a replica of https://cara.web.cern.ch running on http://test-cara.web.cern.ch. Its purpose is to simulate what will happen when
a feature is merged. To push your changes to test-cara, simply push your branch to `live/test-cara` and the CI pipeline will trigger the
deployment. To push to this branch, there is a good chance that you will need to force push - you should always force push with care and
understanding why you are doing it. Syntactically, it will looks something like (assuming that you have "upstream" as your remote name,
understanding why you are doing it. Syntactically, it will look something like (assuming that you have "upstream" as your remote name,
but it may be origin if you haven't configured it differently):
git push --force upstream name-of-local-branch:live/test-cara

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cara/apps/calculator/templates/calculator.form.html.j2
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@ -300,8 +300,6 @@
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.<br><br>
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.<br><br>
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 (<a href="mailto:kt@cern.ch">kt@cern.ch</a>).<br><br></span>
<b>Code License:</b><br><br>
<span id="code_license">This code is licensed under GPL V3.</span></p><br>
<button onclick="show_disclaimer()" id="myBtn" tabindex="-1">Read more</button><br><br>
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