109 lines
6 KiB
Django/Jinja
109 lines
6 KiB
Django/Jinja
{% extends "layout.html.j2" %}
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{% set active_page="home/" %}
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{% block main %}
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<header class= "bg-light">
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<div class="container container--padding">
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<img src="{{ get_url() }}/static/images/caimira_full_text.png" class="logo d-block m-auto" id="desktop_logo">
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<img src="{{ get_url() }}/static/images/caimira_full_logo.png" class="logo d-none m-auto" id="mobile_logo">
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</div>
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</header>
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<div class="container container--padding">
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<div class="d-flex mb-3 justify-content-center" id="calculator_app_button">
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<div><a href="{{ get_calculator_url() }}" role="button" class="btn btn-outline-primary"><div class="d-flex d-row"><i class="icon-calculator"></i><span class="pl-1">Calculator</div></a></div>
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</div>
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<div class="split">
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<div class="col-lg-8 col-md-7 pl-0">
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<h2 class="paragraph-title">Introduction</h2><br>
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<div>
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<p>
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CAiMIRA is a risk assessment tool developed to model the concentration of viruses in enclosed spaces, in order to inform space-management decisions.
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It does this by simulating the airborne spread SARS-CoV-2 virus in a finite volume, assuming homogenous mixing for the long-range component and a two-stage jet model for short-range, and estimates the risk of COVID-19 airborne transmission therein.
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Please see the <a href="/about">About</a> page for more details on the methodology, assumptions and limitations of CAiMIRA.
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</p>
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<p>
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The full CAiMIRA source code can be accessed freely under an Apache 2.0 open source license from our <a href="https://gitlab.cern.ch/caimira/caimira">code repository</a>.
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It includes detailed instructions on how to run your own version of this tool.
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</p>
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<br>
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</div>
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<div id="apps_section" class="d-none">
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<div class="d-flex flex-row" >
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<div class="pr-3"><a href="{{ get_calculator_url() }}" role="button" class="btn btn-lg btn-outline-primary"><div class="d-flex d-row"><i class="icon-calculator"></i><span class="pl-2">Calculator</div></a></div>
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<br>
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<div class="expert_app_button"><a href="/expert-app" role="button" class="btn btn-lg btn-outline-secondary"><div class="d-flex d-row"><i class="icon-expert"></i><span class="pl-2">Expert (beta)</div></a></div>
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</div>
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<br>
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</div>
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</div>
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<div class="align-self-center">
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<img src="{{ get_url() }}/static/images/CAiMIRA_1_Vs3_Colour.jpg" class="caimira_home_image">
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</div>
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</div>
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<div class="d-flex justify-content-between">
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<div class="split">
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<div class="w-25 mobile-sub-section"><hr width="95%">
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<div class="d-flex m-2 align-items-center"><i class="bi bi-window" style="font-size: 25px"></i><div><p class="paragraph-title ml-2">Applications</p></div></div>
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<div class="m-2">CAiMIRA is composed of two applications, the <a href="{{ get_calculator_url() }}">Calculator</a> and the <a href="/expert-app">Expert App</a>.</div>
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</div>
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<div class="w-25 mobile-sub-section"><hr width="95%">
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<div class="d-flex m-2 align-items-center"><i class="bi bi-info-square-fill" style="font-size: 25px"></i><div><p class="paragraph-title ml-2">About</p></div></div>
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<div class="m-2"><a href="{{ get_url() }}//about">About</a> page for details on methodology, assumptions and limitations of CAiMIRA.</div>
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</div>
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<div class="w-25 mobile-sub-section"><hr width="95%">
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<div class="d-flex m-2 align-items-center"><i class="bi bi-journal-text" style="font-size: 25px"></i><div><p class="paragraph-title ml-2">Documentation</p></div></div>
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<div class="m-2">Documentation for CAiMIRA, available <a href="https://caimira.readthedocs.io/">here</a>.<br></div>
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</div>
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<div class="w-25 mobile-sub-section"><hr width="95%">
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<div class="d-flex m-2 align-items-center"><i class="bi bi-git" style="font-size: 25px"></i><div><p class="paragraph-title ml-2">Git</p></div></div>
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<div class="m-2">Official CAiMIRA GitLab <a href="https://gitlab.cern.ch/caimira/caimira">repository</a>.<br></div>
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</div>
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</div>
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</div>
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<br>
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{% block caimira_at_cern %}
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{% endblock caimira_at_cern %}
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<br>
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<div>
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<h2 class="paragraph-title">Reference & Citation</h2><br>
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<p>
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<b>For use of the CAiMIRA model:</b><br>
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<ul>
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<li> Henriques A, Mounet N, Aleixo L, Elson P, Devine J, Azzopardi G, Andreini M, Rognlien M, Tarocco N, Tang J. (2022).
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Modelling airborne transmission of SARS-CoV-2 using CARA: risk assessment for enclosed spaces.
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<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>
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<a href=https://royalsocietypublishing.org/action/showCitFormats?doi=10.1098%2Frsfs.2021.0076><i>Download citation</i></a><br>
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<b><i>Short-range expiratory jet model from:</i></b>
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<ul>
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<li> Jia W, Wei J, Cheng P, Wang Q, Li Y. (2022).
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Exposure and respiratory infection risk via the short-range airborne route.
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<i>Building and Environment</i> <b>219</b>: 109166. <a href=https://doi.org/10.1016/j.buildenv.2022.109166>doi.org/10.1016/j.buildenv.2022.109166</a>
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</li>
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</ul>
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</ul>
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<b>For use of the CAiMIRA web app:</b><br>
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<ul>
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<li>CAiMIRA – CERN Airborne Model for Indoor Risk Assessment tool</li>
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<a href="https://doi.org/10.5281/zenodo.6520431"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.6520431.svg" alt="DOI"></a><br>
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© Copyright 2020-2021 CERN. All rights not expressly granted are reserved.<br>
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Licensed under the Apache License, Version 2.0<br>
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<a href=https://gitlab.cern.ch/caimira/caimira/-/blob/master/LICENSE><i>LICENSE</i></a>
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</ul>
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</p>
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</div>
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<br>
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<h3 class="acknowledgements">Acknowledgements</h3><br>
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<details>
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<summary>Click to expand</summary>
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<br>
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<em>{{ text_blocks['Acknowledgements'] }}</em>
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</details>
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<span style="height: 3vh; display: block;"></span>
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</div>
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</div>
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{% endblock main %}
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