RAPID: Identifying the Drivers of Optimal COVID-19 Allocation — NSF Award to University of Maryland at Baltimore (MD, $199,976)
COVID-19 vaccines have been rapidly developed and deployed in many countries including the United States. Globally, supply remains constrained, especially in low-income countries. When supply is limited, vaccine allocation is often prioritized based on age, a policy decision in the United States that was supported by m
| Award title | RAPID: Identifying the Drivers of Optimal COVID-19 Allocation |
|---|---|
| Award ID | 2138192 |
| Awardee | University of Maryland at Baltimore |
| City | BALTIMORE |
| State | MD |
| Amount obligated | $199,976 |
| Principal investigator | Meagan Fitzpatrick |
| Program | ['01002223RB NSF RESEARCH & RELATED ACTIVIT'] |
| Start date | 01/01/2022 |
| Abstract | COVID-19 vaccines have been rapidly developed and deployed in many countries including the United States. Globally, supply remains constrained, especially in low-income countries. When supply is limited, vaccine allocation is often prioritized based on age, a policy decision in the United States that was supported by mathematical modeling. However, this allocation may not be ideal for low-income countries with different demographics and which may have substantially higher background immunity by |
| Source | NSF Awards |
$799/mo
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