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Share with learners the code for the baseline model.
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It has **different** disease parameters than previous episode.
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Then start with the livecoding directly with interventions.
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## Baseline model
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We will investigate the effect of interventions on a COVID-19 outbreak using an SEIR model (`model_default()` in the R package `{epidemics}`). To be able to see the effect of our intervention, we will run a baseline variant of the model, i.e, without intervention.
[Non-pharmaceutical interventions](../learners/reference.md#NPIs) (NPIs) are measures put in place to reduce transmission that do not include the administration of drugs or vaccinations. NPIs aim at reducing contacts between infectious and susceptible individuals by closure of schools and workplaces, and other measures to prevent the spread of the disease, for example, washing hands and wearing masks.
@@ -337,6 +359,17 @@ To implement both contact and rate interventions in the same simulation they mus
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:::::::::::::::::::::: instructor
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Make a pause.
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Use slides to introduce the topics of:
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- Pharmaceutical interventions.
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Then continue with the livecoding.
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## Pharmaceutical interventions
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@@ -518,6 +551,15 @@ To get an age-stratified plot, keep the default `by_group = TRUE` and then add `
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