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An Analytical Perspective on Pandemic Recovery
Benjamin D Trump1, Todd S Bridges1, Jeffrey C Cegan1
1Benjamin D. Trump, PhD, is a Research Social Scientist; Todd S. Bridges, PhD, is a Senior Research Scientist (ST), Environmental Science; Jeffrey C. Cegan, MS, is a Research Environmental Engineer; Brandon J. Lafferty, PhD, is a Supervisory Soil Scientist; and Igor Linkov, PhD, is a Research Physical Scientist; all at the US Army Engineer Research and Development Center, US Army Corps of Engineers Vicksburg, MS.
Abstract:
After implementing restrictions to curb the spread of coronavirus, governments in the United States and around the world are trying to identify the path to social and economic recovery. The White House and the Centers for Disease Control and Prevention have published guidelines to assist US states, counties, and territories in planning these efforts. As the impact of the coronavirus pandemic has not been uniform, these central guidelines need to be translated into practice in ways that recognize variation among jurisdictions. We present a core methodology to assist governments in this task, presenting a case for appropriate actions at each stage of recovery based on scientific data and analysis. Specifically, 3 types of data are needed: data on the spread of disease should be analyzed alongside data on the overall health of the population and data on infrastructure-for example, the capacity of health systems. Local circumstances will produce different needs and present different setbacks, and governments may need to reinstate as well as relax restrictions. Transparent, defensible analysis can assist in making these decisions and communicating them to the public. In the absence of a widely administered vaccine, analysis remains one of our most important tools in addressing the coronavirus pandemic.
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