
Tips for testing or estimating
How can we cut the cost of tests or estimate the size of groups of infected people without knowing which ones they are? Here are a few tricks!


How can we cut the cost of tests or estimate the size of groups of infected people without knowing which ones they are? Here are a few tricks!


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When faced with what seems to be the start of an epidemic, how can we predict how it will develop and spread geographically? Mathematical models attempt to answer these questions.

The Covid-19 pandemic took the world by surprise, both through its virulence and the speed of its spread. A wealth of statistics, sometimes contradictory, has been published. Governments have introduced measures that often differ from one country to another. A range of medical treatments is being used. Can mathematics help us make the right decisions?

In epidemiology, mathematical modeling has three aims: to understand, describe, and predict. Since the focus is on what happens in the "fairly distant" future, continuous-time models involving differential or partial differential equations are generally preferred.

Despite what its name suggests, epidemiology is a broad discipline. Its scope now extends beyond the study of infectious diseases to encompass all human diseases and disorders, whether chronic, genetic, environmental or behavioral, as well as accidents.
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