Merge branch 'feature/monte_carlo_in_calculator' of https://gitlab.cern.ch/cara/cara into feature/monte_carlo_in_calculator
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@ -209,36 +209,13 @@
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<p class="result_title">Results:</p>
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<p class="data_text">
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{% block report_summary %}
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In this scenario, the estimated probability of one exposed occupant getting infected P(i) is {{ prob_inf | non_zero_percentage }} and the expected number of new cases is {{ expected_new_cases | float_format }}.
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Taking into account the uncertainties tied to the model variables, in this scenario, the <b>probability of one exposed occupant getting infected P(i) is {{ prob_inf | non_zero_percentage }}</b><a href="#section1">[*]</a> and the <b>expected number of new cases is {{ expected_new_cases | float_format }}</b>.
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<p id="section1">[*] The results are based on the parameters and assumptions published in the <a href="https://cds.cern.ch/record/2756083"> CERN Open Report CERN-OPEN-2021-004</a></p>
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{% endblock report_summary %}
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</p>
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<p class="data_title">Exposure graph:</p>
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<img id="scenario_concentration_plot" src="{{ scenario_plot_src }}">
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<p class="data_title">Repeated events:</p>
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<p class="data_text">
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The P(i) and expected number of new cases if repeating this scenario event - provided the infected person emits the same amount of viruses each day and the exposed person is subject to the same daily exposure time:
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<table class="table table-striped w-auto">
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<thead class="thead-light">
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<tr>
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<th># of repeated events</th>
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<th>P(i)</th>
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<th>Expected new cases</th>
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</tr>
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</thead>
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<tbody>
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{% for repeat_event in repeated_events %}
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<tr>
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<td>{{ repeat_event.repeats }}</td>
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<td>{{ repeat_event.probability_of_infection | non_zero_percentage }}</td>
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<td style="text-align:right">{{ repeat_event.expected_new_cases | float_format }}</td>
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</tr>
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{% endfor %}
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</tbody>
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</table>
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</p>
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<p class="data_title">Alternative scenarios:</p>
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<p class="data_text">
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<img id="scenario_concentration_plot" src="{{ alternative_scenarios.plot }}" align="left" />
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@ -3,7 +3,7 @@
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{% block report_preamble %}
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<p><strong>Applicable rules: <br>
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Please ensure that this scenario conforms to current <a href="https://hse.cern/covid-19-information"> CERN HSE rules</a> (minimum ventilation requirements, mask wearing and the maximum number of people permitted in a space).</strong> <br>
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Please ensure that this scenario conforms to current COVID-related <a href="https://hse.cern/covid-19-information"> Health & Safety requirements</a>, under the applicable COVID Scale and measures in force at the time of the CARA assessment.</strong> <br>
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The results of this simulation are colour coded according to the risk values authorized at CERN (approved in December 2020):
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<ul><li>Events with a <span class="green_bkg">P(i) less than 5%</span> may go ahead without further mitigation measures.</li>
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<li>Events with a <span class="yellow_bkg">P(i) between 5% and 15%</span> shall be subject to ALARA principles (see footnote) to minimise the risk before proceeding.</li>
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