Computationally Efficient Methods for Control of Epidemics on Networks — NSF Award to Trustees of Boston University (MA, $352,394)
The COVID-19 epidemic has brought the difficult tradeoffs of epidemic control to the forefront of public attention. While epidemics can be mitigated through a variety of interventions such as lockdowns, travel restrictions, mandated social distancing, and vaccine allocations, many of these methods can be extraordinaril
| Award title | Computationally Efficient Methods for Control of Epidemics on Networks |
|---|---|
| Award ID | 2240848 |
| Awardee | Trustees of Boston University |
| City | BOSTON |
| State | MA |
| Amount obligated | $352,394 |
| Principal investigator | Alexander Olshevsky |
| Program | EPCL: Energy, Power, Control, |
| Start date | 06/01/2023 |
| Abstract | The COVID-19 epidemic has brought the difficult tradeoffs of epidemic control to the forefront of public attention. While epidemics can be mitigated through a variety of interventions such as lockdowns, travel restrictions, mandated social distancing, and vaccine allocations, many of these methods can be extraordinarily costly, both in terms of creating hardship and unemployment as well as in terms of reducing access to crucial services for vulnerable populations. Furthermore, popular backlash a |
| Source | NSF Awards |
$799/mo
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