Category
Data Architecture, Public Health, Risk Analysis
About This Project

COVID LOCAL: A Frontline Guide for Local Decision Makers

A visual displaying metrics for phased reopening to provide a decision framework for local leaders responding to COVID-19
PROJECT TYPE(S)
Data Architecture
Risk Analysis
Public Health
Partner(s)

Georgetown University Center for Global Health Science and Security

COVID-Local is a collaborative effort focused on providing guidance to state and local decision makers responding to the COVID-19 pandemic. The Guide provides a set of progress indicators and a series of checklists for leaders to assess their progress and to serve as a source of information about what additional efforts may be needed. A series of graphics and corresponding tools are available to provide metrics toward re-opening, supporting the decisions needed to understand local progress toward mitigating and managing the outbreak in a community.

The metrics are designed specifically to support communication of that progress, in addition to providing benchmarks for progress through each phase. The site also provides access to a frequently-updated blog and resources page, with access to experts across a wide range of topics related to the pandemic and response efforts required.

The metrics are designed specifically to support communication of that progress, in addition to providing benchmarks for progress through each phase. The site also provides access to a frequently-updated blog and resources page, with access to experts across a wide range of topics related to the pandemic and response efforts required.

PROJECT URL
PROJECT TYPE(S)
Data Architecture
Risk Analysis
Public Health