I stay with this Explore page.
coach_text Explore goals Goal, controls, KPIs and takeaway
ML3 / Explore
Read equilibrium instead of a one-off wave
SIS is not mainly about one outbreak peak. It is about whether the system settles into a recurring infectious balance.
This Explore step helps you stop reading only for a dramatic peak and start reading for where the model stabilises.
If the line starts to feel like a long-run balance instead of a single event, then the Explore step is doing the right work.
Read the two active controls before dragging them
In the guided variant you focus on R₀ and mitigation while duration stays fixed.
This variant keeps the comparison tighter. R₀ and mitigation are the key levers for understanding whether the model settles into a stronger or weaker endemic balance.
R₀
What it changes
The transmission pressure that lifts the balance upward.
Watch for
Whether the long-run infectious share settles higher.
Mitigation
What it changes
How much transmission is reduced across the system.
Watch for
Whether the equilibrium sinks and the approach becomes gentler.
The playhead is part of the reading task here. It helps you see the model as a path toward balance instead of a static final value.
Use the KPI cards to read the balance point
The KPI cards help you read both the destination and the path toward it.
I*
The endemic equilibrium of the infectious line.
t95
How long it takes until the line reaches 95% of that equilibrium.
Rₑff start
The initial transmission pressure at the beginning of the run.
I at the end
The infectious share at the selected horizon.
Good reading means: combine destination and timing. Say not only where the line settles, but also how quickly the system gets close to that balance.
What you should be able to say after this
If this Explore worked, you now read SIS as an equilibrium model and not just as another outbreak curve.
You should be able to explain why the model does not simply end, but can settle into a continuing infectious balance.
When that reading feels stable, the next sensible step later is Continue in Learning Journey.
SIS Model · Equilibrium pattern
S I
Day 0
t · Day now t · Day t
0
I · I now I · I now I
0.0 %
S · S now S · S now S
0.0 %
Rₑff · Rₑff now Rₑff · Now Rₑff
0.00
I* · Steady state I* · Steady I*
--
I_end · I at the end I_end · I end I
0.0 %
R₀ · Spread factor R₀ · Spread R₀
1.25
N · Population N · Pop. N
1,000,000