A network-based group testing strategy for colleges
Abstrak
Abstract Group testing has recently become a matter of vital importance for efficiently and rapidly identifying the spread of Covid-19. In particular, we focus on college towns due to their density, observability, and significance for school reopenings. We propose a novel group testing strategy which requires only local information about the underlying transmission network. By using cellphone data from over 190,000 agents, we construct a mobility network and run extensive data-driven simulations to evaluate the efficacy of four different testing strategies. Our results demonstrate that our group testing method is more effective than three other baseline strategies for reducing disease spread with fewer tests.
Topik & Kata Kunci
Penulis (4)
Alex Zhao
Kavin Kumaravel
Emanuele Massaro
Marta Gonzalez
Akses Cepat
- Tahun Terbit
- 2021
- Sumber Database
- DOAJ
- DOI
- 10.1007/s41109-021-00431-1
- Akses
- Open Access ✓