• Journal of public health · Nov 2020

    Using informatics to guide public health policy during the COVID-19 pandemic in the USA.

    • Jay G Ronquillo, William T Lester, and Diana M Zuckerman.
    • Grinformatics, Haymarket, VA 20169, USA.
    • J Public Health (Oxf). 2020 Nov 23; 42 (4): 660-664.

    BackgroundCurrent and future pandemics will require informatics solutions to assess the risks, resources and policies to guide better public health decision-making.MethodsCross-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.ResultsThere 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.ConclusionsEffective 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.© The Author(s) 2020. Published by Oxford University Press on behalf of Faculty of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

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