Name
Abstract | ||
|---|---|---|
We address the problem of controlling the COVID-19 contagion with a limited number of PCR-tests. We developed a tool that can assist policy makers in decisions as well as in justifying these decisions. Our tool consists of: A stochastic disease model, a compressed representation of interactions between people via a graph that scales well to large populations, policies for selecting PCR-testees per... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.23919/JCN.2021.000029 | Journal of Communications and Networks |
Keywords | DocType | Volume |
Disease model,optimization,simulation | Journal | 23 |
Issue | ISSN | Citations |
5 | 1229-2370 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Konstantin Berestizshevsky | 1 | 0 | 0.34 |
| Koffi-Emmanuel Sadzi | 2 | 0 | 0.34 |
| Guy Even | 3 | 0 | 0.34 |
| Moni Shahar | 4 | 0 | 0.34 |