Adaptive decision models to inform when to tighten and when to relax social distancing interventions
- Funded by Yale University
- Total publications:0 publications
Grant number: unknown
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Key facts
Disease
COVID-19Funder
Yale UniversityPrincipal Investigator
Reza Yaesoubi, Ted Cohen, David Paltiel, Gregg Gonsalves…Research Location
United States of AmericaLead Research Institution
N/AResearch Priority Alignment
N/A
Research Category
Epidemiological studies
Research Subcategory
Impact/ effectiveness of control measures
Special Interest Tags
N/A
Study Type
Non-Clinical
Clinical Trial Details
N/A
Broad Policy Alignment
Pending
Age Group
Not Applicable
Vulnerable Population
Not applicable
Occupations of Interest
Not applicable
Abstract
A decision support tool that explicitly accounts for the tradeoffs between the health benefits and economic costs of social distancing interventions to assist policy makers in their determination of the optimal timing of these interventions based on the latest epidemiological data collected through surveillance systems.