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Update of text in the webapp/repo: references, citation and acknowledgments

See merge request cara/cara!331
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Luis Aleixo 2022-02-11 14:56:04 +01:00
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README.md
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@ -35,9 +35,14 @@ Andre Henriques<sup>1</sup>, Luis Aleixo<sup>1</sup>, Marco Andreini<sup>1</sup>
<sup>5</sup>Information Technology Department, Collaboration, Devices & Applications Group, CERN<br>
<sup>6</sup>Norwegian University of Science and Technology (NTNU)<br>
### Citation
A. Henriques, M. Andreini, G. Azzopardi, J. Devine, P. Elson, N. Mounet, M. Kongstein, N. Tarocco. CARA - COVID Airborne Risk Assessment tools. CERN (2021).
### Reference and Citation
**For the use of the CARA web app**
CARA – COVID Airborne Risk Assessment tool
© Copyright 2020-2021 CERN. All rights not expressly granted are reserved.
**For use of the model**
Henriques A, Mounet N, Aleixo L, Elson P, Devine J, Azzopardi G, Andreini M, Rognlien M, Tarocco N, Tang J. (2021). Modelling airborne transmission of SARS-CoV-2 using CARA: risk assessment for enclosed spaces. _Interface Focus 20210076_. https://doi.org/10.1098/rsfs.2021.0076
## Applications

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@ -121,6 +121,11 @@ body {
font-size: 1.25rem;
}
.acknowledgements {
text-align: left;
font-size: 1.5rem;
}
.center {
position: relative;
display: flex;
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text-align: left;
font-size: 2rem;
}
.developers {
text-align: left;
font-size: 1.5rem;
}
.split > * + * {
margin-left: 2em;

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Currently, the existing public health measures point to the importance of proper building and environmental engineering control measures, such as proper Indoor Air Quality (IAQ).
This pandemic clearly raised increased awareness on airborne transmission of respiratory viruses in indoor settings.
Out of the main modes of viral transmission, the airborne route of SARS-CoV-2 seems to have a significant importance to the spread of COVID-19 infections world-wide, hence proper guidance to building engineers or facility managers, on how to prevent on-site transmission, is essential.<br>
For information on the Airborne Transmission of SARS-CoV-2, feel free to check out the HSE Seminar: <a href=https://cds.cern.ch/record/2743403>https://cds.cern.ch/record/2743403</a>.<br>
For information on the Airborne Transmission of SARS-CoV-2, feel free to check out the special issue on the Interface Focus journal from Royal Society publishing: <a href=https://royalsocietypublishing.org/toc/rsfs/2022/12/2>Interface Focus: Volume 12, Issue 2</a> and an CERN HSE Seminar: <a href=https://cds.cern.ch/record/2743403>https://cds.cern.ch/record/2743403</a>.<br>
<br><br>
<h1 class="paragraph-title">What is CARA?</h1><br>
CARA stands for COVID Airborne Risk Assessment and was developed in the spring of 2020 to better understand and quantify the risk of long-range airborne spread of SARS-CoV-2 virus in workplaces. CARA comes with different applications that allow more or less flexibility in the input parameters:
@ -17,8 +17,8 @@ CARA stands for COVID Airborne Risk Assessment and was developed in the spring o
<li><a href='/expert-app'>CARA expert app</a></li>
</ul>
The mathematical and physical model simulate the long-range airborne spread of SARS-CoV-2 virus in a finite volume, assuming a homogenous mixture, and estimates the risk of COVID-19 airborne transmission 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.<br>
<p>The methodology, mathematical equations and parameters of the model are described here in the CARA paper: <a href="https://cds.cern.ch/record/2756083"> CERN-OPEN-2021-004</a>.</p>
The mathematical and physical model simulate the long-range airborne spread of SARS-CoV-2 virus in a finite volume, assuming a homogenous mixture, and estimates the risk of COVID-19 airborne transmission therein. The results DO NOT include (for now) 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.<br>
<p>The methodology, mathematical equations and parameters of the model are published here in the CARA paper: <a href="https://doi.org/10.1098/rsfs.2021.0076"> Modelling airborne transmission of SARS-CoV-2 using CARA: risk assessment for enclosed spaces</a>.</p>
The model used is based on scientific publications relating to airborne transmission of infectious diseases, virology, epidemiology and aerosol science. It can be used to compare the effectiveness of different airborne-related risk mitigation measures.
@ -48,11 +48,15 @@ Although the user is able to calculate the infection probability of a stand-alon
<h2 class="paragraph-title">Code Contributors:</h2><br>
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<h1 class="paragraph-title">Acknowledgements:</h1><br>
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<a id="references_block" style="color:#2f4858"><h1 class="paragraph-title">References:</h1></a><br>
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{% block cara_at_cern %}
{% endblock cara_at_cern %}
<br>
<div>
<h2 class="paragraph-title">Reference & Citation</h2><br>
<p>
<b>For use of the CARA model:</b><br>
<ul>
<li> Henriques A, Mounet N, Aleixo L, Elson P, Devine J, Azzopardi G, Andreini M, Rognlien M, Tarocco N, Tang J. (2021).
Modelling airborne transmission of SARS-CoV-2 using CARA: risk assessment for enclosed spaces.
<i>Interface Focus</i> <b>12</b>: 20210076. <a href=https://doi.org/10.1098/rsfs.2021.0076>doi.org/10.1098/rsfs.2021.0076</a> </li>
<a href=https://royalsocietypublishing.org/action/showCitFormats?doi=10.1098%2Frsfs.2021.0076><i>Download citation</i></a>
</ul>
<b>For use of the CARA web app:</b><br>
<ul>
<li>CARA – COVID Airborne Risk Assessment tool</li>
© Copyright 2020-2021 CERN. All rights not expressly granted are reserved.<br>
Licensed under the Apache License, Version 2.0<br>
<a href=https://gitlab.cern.ch/cara/cara/-/blob/master/LICENSE><i>LICENSE</i></a>
</ul>
</p>
</div>
<br>
<h3 class="paragraph-title">Acknowledgements</h3><br>
{{ text_blocks['Acknowledgements'] }}
<h3 class="acknowledgements">Acknowledgements</h3><br>
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## Acknowledgements
We wish to thank CERN’s HSE Unit, Beams Department, Experimental Physics Department, Information Technology Department, Industry, Procurement and Knowledge Transfer Department and International Relations Sector for their support to the study. Thanks to Doris Forkel-Wirth, Benoit Delille, Walid Fadel, Olga Beltramello, Letizia Di Giulio, Evelyne Dho, Wayne Salter, Benoit Salvant and colleagues from the COVID working group for providing expert advice and extensively testing the model. Finally, we wish to thank Fabienne Landua and the design service for preparing the illustrations and Alessandro Raimondo, Ana Padua and Manuela Cirilli from the Knowledge Transfer Group for their continuous support. Our compliments towards the work and research performed by world leading scientists in this domain: Dr. Julian Tang, Prof. Manuel Gameiro, Dr. Linsey Marr, Prof. Jose Jimenez, Prof. Lidia Morawska, Prof. Yuguo Li et al. – their scientific contribution was indispensable for this project.
We wish to thank CERN’s HSE Unit, Beams Department, Experimental Physics Department, Information Technology Department, Industry, Procurement and Knowledge Transfer Department and International Relations Sector for their support to the study. Thanks to Doris Forkel-Wirth, Benoit Delille, Walid Fadel, Olga Beltramello, Letizia Di Giulio, Evelyne Dho, Wayne Salter, Benoit Salvant and colleagues from the COVID working group for providing expert advice and extensively testing the model. Finally, we wish to thank Fabienne Landua and the design service for preparing the illustrations and Alessandro Raimondo and Manuela Cirilli from the Knowledge Transfer Group for their continuous support. Our compliments towards the work and research performed by world leading scientists in this domain: Dr. Julian Tang, Prof. Manuel Gameiro, Dr. Linsey Marr, Prof. Lidia Morawska, Prof. Yuguo Li, and others – their scientific contribution was indispensable for this project.
## References