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Using informatics to guide public health policy during the COVID-19 pandemic in the USA
Jay G Ronquillo1, William T Lester2,3, Diana M Zuckerman4
1Grinformatics, Haymarket, VA 20169, USA.
Background:
Current and future pandemics will require informatics solutions to assess the risks, resources and policies to guide better public health decision-making.
Methods:
Cross-sectional study of all COVID-19 cases and deaths in the USA on a population- and resource-adjusted basis (as of 24 April 2020) by applying biomedical informatics and data visualization tools to several public and federal government datasets, including analysis of the impact of statewide stay-at-home orders.
Results:
There were 2753.2 cases and 158.0 deaths per million residents, respectively, in the USA with variable distributions throughout divisions, regions and states. Forty-two states and Washington, DC, (84.3%) had statewide stay-at-home orders, with the remaining states having population-adjusted characteristics in the highest risk quartile.
Conclusions:
Effective national preparedness requires clearly understanding states' ability to predict, manage and balance public health needs through all stages of a pandemic. This will require leveraging data quickly, correctly and responsibly into sound public health policies.
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