Potential impact of annual vaccination with reformulated COVID-19 vaccines: Lessons from the US COVID-19 scenario modeling hub is a research paper published in UNC Libraries (2024). On theSindex it has a DataRank of 0.
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National Science Foundation
Grant: 2220903
RAPID: Variant Emergence and Scenario Design for the COVID-19 Scenario Modeling Hub
National Science Foundation
Grant: 2223933
RAPID: Data-driven Understanding of Imperfect Protection for Long-term COVID-19 Projections
National Science Foundation
Grant: 2028301
RAPID: Harnessing the power of multiple models for outbreak management
National Science Foundation
Grant: 2126278
RAPID: COVID-19 Scenario Modeling Hub to harness multiple models for long-term projections and decision support
National Science Foundation
Grant: 1916805
Collaborative Research: Framework: Software: CINES: A Scalable Cyberinfrastructure for Sustained Innovation in Network Engineering and Science
National Institutes of Health
Grant: 5R35GM143029-03
Model-based inference and forecasting of co-circulating pathogen dynamics
National Institutes of Health
Grant: 5U01IP001137-04
RFA-IP-20-003, FluMod - Center for the Multiscale Modeling of Pandemic and seasonal Flu Prevention and Control
National Science Foundation
Grant: 2037885
RAPID: Optimal allocation of COVID-19 testing based on context-specific outbreak control objectives
National Science Foundation
Grant: 0001137
Time-Critical Public Archiving of Digital Seismic Data
National Institutes of Health
Grant: 5R21AI164391-02
Assessing the impact of COVID-19 interventions on human mobility and SARS-CoV-2 transmission dynamics in the United States
National Institutes of Health
Grant: 5R01AI102939-05
Methods for Reducing Spatial Uncertainty and Bias in Disease Surveillance
National Institutes of Health
Grant: 3U24GM132013-02S1
Accelerating COVID-19 modeling research by improving the discovery and new use of data: leveraging community engagement and automation of curation workflows
National Science Foundation
Grant: 1918656
Expeditions: Collaborative Research: Global Pervasive Computational Epidemiology
National Institutes of Health
Grant: 3UL1TR002489-02S1
North Carolina Translational and Clinical Science Institute (NC TraCS)
National Science Foundation
Grant: 2135784
RAPID: Fast COVID-19 Scenario Projections in Presence of Vaccines and Competing Variants
National Science Foundation
Grant: 1255832
Graduate Research Fellowship Program (GRFP)
National Institutes of Health
Grant: 2A11NU000297-10
PROFESSIONAL NURSE TRAINEESHIP PROGRAM
National Science Foundation
Grant: 2127976
RAPID: Projecting Possible Scenarios of COVID-19 in the United States
Swiss National Science Foundation
Grant: 222090
Enhancing Collaboration: Unraveling the Interplay of Social Roles, Status Hierarchies, and Beliefs for Improved Group Outcomes
National Institutes of Health
Grant: 6U01IP001136-01M001
Modeling toolkit to evaluate multifaceted control strategies for seasonal and pandemic influenza
National Institutes of Health
Grant: 1R01GM140564-01
Merging machine learning and mechanistic models to improve prediction and inference in emerging epidemics
National Institutes of Health
Grant: 5R01AI151176-05
Accelerating viral outbreak detection in US cities using mechanistic models, machine learning and diverse geospatial data
Swiss National Science Foundation
Grant: 125583
Colloque international - entre l'éducatif et le répressif: regards croisés sur la juridiction pénale des mineurs
FWCI
0.00
Citation Percentile
0.1%
Fields of Study
Keywords
Sustainable Development Goals