Added unacceptable red warning if expected new cases >1
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1 changed files with 5 additions and 5 deletions
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@ -24,7 +24,7 @@
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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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<li>Events with a <span class="red_bkg">P(i) exceeding 15%</span> may not take place until additional measures are in place and a risk reduction has been performed.</li>
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<li>Events with a <span class="red_bkg">P(i) exceeding 15% or a number of expected new cases that exceeds 1</span> may not take place until additional measures are in place and a risk reduction has been performed.</li>
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</ul>
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</p>
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@ -204,7 +204,7 @@
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<p class="result_title">Results:</p>
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<p class="data_text">
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<span
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{% if prob_inf > 15 %}
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{% if ((prob_inf > 15) or (expected_new_cases >= 1)) %}
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class="red_bkg"><strong>Not Acceptable:</strong>
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{% elif 5 <= prob_inf <= 15 %}
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class="yellow_bkg"><strong> Attention:</strong>
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@ -215,8 +215,8 @@
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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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{% if (prob_inf > 15) %}
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This exceeds the authorised risk threshold.
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{% if ((prob_inf > 15) or (expected_new_cases >= 1)) %}
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This exceeds the authorised risk threshold or number of expected new cases.
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The risk level must be reduced before this activity can be undertaken.
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{% elif (5 <= prob_inf <= 15) %}
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This activity has an elevated level of risk, ALARA principles must be applied to minimise the level of risk before undertaking the activity.
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@ -264,7 +264,7 @@ In this scenario, the estimated probability of one exposed occupant getting infe
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</thead>
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<tbody>
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{% for scenario_name, scenario_stats in alternative_scenarios.stats.items() %}
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{%if ( scenario_stats.probability_of_infection > 15) %}
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{%if (( scenario_stats.probability_of_infection > 15) or (scenario_stats.expected_new_cases >= 1)) %}
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<tr class="red_bkg">
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{% elif (5 <= scenario_stats.probability_of_infection <= 15) %}
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<tr class="yellow_bkg">
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