Could mathematics warn us about the next pandemic?
A model can show what might happen if an infection spreads under stated assumptions without predicting where the next outbreak will begin. Changing a transmission assumption can change the projected curve. The important question is what the model promises: a conditional scenario, a near-term forecast, or evidence about what is happening now.
Questions you could explore
- What information would let you test a forecast after the event?
- Which assumptions would be hardest to know before a new outbreak?
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- CDC Center for Forecasting and Outbreak AnalyticsModeling across different time horizons
Separates forecasts assessed against later observations from conditional “if” scenarios about possible futures.
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