Let's be efficient about it! 🎯
Batch testing is a proven method first used in WWII when tests were expensive. We can think of it as if testing light bulbs linked in series: if a single light bulk is broken the whole batch won’t light up.
- Applying the same principle, researchers propose combining multiple patient samples in batches for testing. The question is: what’s a good batch size?;
- Mathematically we can demonstrate that the ideal batch size depends on the infection probability in a given population;
- Using a fixed batch size is usually sub-optimal and could let to a waste of already scarce resources.
As a social project we aim at providing a free, open-access web application for health agents to easily apply these principles and determine this ideal batch size.
Check out our live example on the Optimiser »