Add table r0 ref

episodes/modelling-interventions.Rmd

@@ -577,6 +577,22 @@ To get an age-stratified plot, keep the default `by_group = TRUE` and then add `
 
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+:::: checklist
+
+### How to write each intervention type
+
+In `{epidemics}` different interventions require different functions, arguments, and R class objects: integers, matrices, or lists.
+
+| Intervention | Function | `type` | `reduction` or `nu` | Argument in `model_default()` |
+|---|---|---|---|---|
+| Reduce rate | intervention() | "rate" | reduction = 0.163 | intervention = **list**(transmission_rate = `<intervention>`) |
+| Reduce contacts | intervention() | "contacts" | reduction = **matrix**(c(0.5, 0.01, 0.01)) | intervention = **list**(contacts = `<intervention>`) |
+| Vaccination | **vaccination()** | --- | nu = **matrix**(c(0.01, 0.01, 0.01)) | vaccination = `<intervention>` |
+
+The `list()` class object helps accepting multiple consecutive or overlapping interventions in the same simulation.
+
+::::
+
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 Stop the livecoding.

episodes/simulating-transmission.Rmd

@@ -361,7 +361,9 @@ transmission_rate <- basic_reproduction / infectious_period
 ```
 
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+
 ### The basic reproduction number $R_0$
+
 The basic reproduction number, $R_0$, for the SEIR model is: 
 
 $$ R_0 = \frac{\beta}{\gamma}.$$ 
@@ -370,6 +372,7 @@ Therefore, we can rewrite transmission rate $\beta$ as:
 
 $$ \beta = R_0 \gamma.$$
 
+If you need a recap, read about the ratio $\beta/\gamma$ in this two-page paper by [Bjørnstad et al., 2020](https://www.nature.com/articles/s41592-020-0822-z).
 
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