RAPID: COVID-19 Response Support: Building Synthetic Multi-scale Networks — NSF Award to University of Virginia Main Campus (VA, $
The Novel 2019 Coronavirus (COVID-19) has already caused unprecedented global social, economic, and health impact. This project will develop synthetic global multi-scale social contact networks. The synthetic but realistic social contact networks can capture human interactions either at an individual or community level
| Award title | RAPID: COVID-19 Response Support: Building Synthetic Multi-scale Networks |
|---|---|
| Award ID | 2027541 |
| Awardee | University of Virginia Main Campus |
| City | CHARLOTTESVILLE |
| State | VA |
| Amount obligated | $173,640 |
| Principal investigator | Madhav Marathe |
| Program | COVID-19 Research |
| Start date | 07/01/2020 |
| Abstract | The Novel 2019 Coronavirus (COVID-19) has already caused unprecedented global social, economic, and health impact. This project will develop synthetic global multi-scale social contact networks. The synthetic but realistic social contact networks can capture human interactions either at an individual or community level. The networks can be used in conjunction with agent-based models to simulate the ongoing COVID-19 pandemic. The simulations can in-turn be used to design and assess various interv |
| Source | NSF Awards |
$799/mo
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