Work

Scenario design for infectious disease projections: Integrating concepts from decision analysis and experimental design

Year: 2024

Type: article

Source: Carolina Digital Repository (University of North Carolina at Chapel Hill)

DOI: 10.17615/znvz-bg88

Authors: Runge M.C, Yan K, Truelove S, Howerton E, Venkatramanan S, Lessler J, Probert W.J.M, Lewis B, Shea K, Marathe M.V, Rosenstrom E, Hochheiser H, Borchering R, Viboud C

Institution: University of North Carolina at Chapel Hill

Language: English

Topic: COVID-19 epidemiological studies

Subfield: Modeling and Simulation

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Science Foundation, University of Pennsylvania, Pennsylvania State University, Defense Threat Reduction Agency, National Institute of General Medical Sciences

Awards: G1634351103, RAPID: COVID-19 Scenario Modeling Hub to harness multiple models for long-term projections and decision support, G4675221972, RAPID: Variant Emergence and Scenario Design for the COVID-19 Scenario Modeling Hub, RAPID: Optimal allocation of COVID-19 testing based on context-specific outbreak control objectives, RAPID: Harnessing the power of multiple models for outbreak management, Graduate Research Fellowship Program (GRFP), Expeditions: Collaborative Research: Global Pervasive Computational Epidemiology

OpenAlex ID: W4400394476

FWCI:

Cites:

Cited by:

Related to: 10