Abstract
How data became one of the most powerful tools to fight an epidemic is a question that a recent (10 June 2020) The New York Times article poses in its title. Indeed, the spread of COVID-19 involves dynamically evolving hidden data (for example, the number of infected people, the number of asymptomatic people) that must be deduced from noisy and partially observed data (for example, the number of daily deaths, the number of daily hospitalizations, and the number of daily positive tests).
| Original language | English (US) |
|---|---|
| Article number | 9491060 |
| Pages (from-to) | 34-49 |
| Number of pages | 16 |
| Journal | IEEE Control Systems |
| Volume | 41 |
| Issue number | 4 |
| DOIs | |
| State | Published - Aug 2021 |
ASJC Scopus subject areas
- Control and Systems Engineering
- Modeling and Simulation
- Electrical and Electronic Engineering