ArticleJournal of public health (Oxford, England)2020
Using informatics to guide public health policy during the COVID-19 pandemic in the USA.
Article in Journal of public health (Oxford, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Enhancing Consultation Efficiency Through Medical Informatics: A Scalable Field Clinic Model for the Pandemic Response in Taiwan.Healthcare (Basel, Switzerland) · 2025Article
- Evaluation of Rolling Surveillance Methods in Context of Prior Aberrations: A Simulation Study With Routine Data From Low- and Middle-Income Countries.Statistics in medicine · 2025Article
- Primary care indicators for disease burden, monitoring and surveillance of COVID-19 in 31 European countries: Eurodata Study.European journal of public health · 2024Article
- Longitudinal SARS-CoV-2 RNA wastewater monitoring across a range of scales correlates with total and regional COVID-19 burden in a well-defined urban population.Water research · 2022Article
- The Clinical Information Systems Response to the COVID-19 Pandemic.Yearbook of medical informatics · 2021Review
- Smart about medications (SAM): a digital solution to enhance medication management following hospital discharge.JAMIA open · 2021Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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