ArticleInternational journal of information management2021
The challenges of data usage for the United States' COVID-19 response.
Article in International journal of information management, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
24 citing papers in PubMed.
- The Impact of the COVID-19 Pandemic on Registered Nurse Employment Across Settings.Medical care · 2026Article
- Building Enhanced Public Health Data Systems With a Situational Awareness and Learning Tool: Focus Group Study.Online journal of public health informatics · 2026Article
- Spatial and spatio-temporal county-level trends in COVID-19 mortality and emergency department visits in U.S. with R-INLA.Spatial and spatio-temporal epidemiology · 2026Article
- How Will AI Shape the Future of Pandemic Response? Early Clues From Data Analytics.Risk analysis : an official publication of the Society for Risk Analysis · 2025Review
- Can past variants of SARS-CoV-2 predict the impact of future variants? Machine learning for early warning of US counties at risk.Health care management science · 2025Article
- Best Practices for Data Modernization Across the United States Public Health System: Scoping Review.Journal of medical Internet research · 2025Article
- A Cloud-Based Platform for Harmonized COVID-19 Data: Design and Implementation of the Rapid Acceleration of Diagnostics (RADx) Data Hub.JMIR public health and surveillance · 2025Article
- Back-projection improves inference from sparsely sampled genomic surveillance data.bioRxiv : the preprint server for biology · 2025Article
- Reviewing and Advocating for Data Disaggregation in Aging-Related Health Research: NIA Grants and Recommendations for Equity.The Gerontologist · 2025Article
- Privacy preserving record linkage for public health action: opportunities and challenges.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- Data Sharing in a Decentralized Public Health System: Lessons From COVID-19 Syndromic Surveillance.JMIR public health and surveillance · 2024Article
- Association between Racial Residential Segregation and COVID-19 Mortality.Journal of urban health : bulletin of the New York Academy of Medicine · 2023Article
- Critical data at the crossroads: the National Health and Nutrition Examination Survey faces growing challenges.The American journal of clinical nutrition · 2023Article
- Thirty-three myths and misconceptions about population data: from data capture and processing to linkage.International journal of population data science · 2023Article
- From COVID-19 to Monkeypox: Unlearned Lessons for Black, Latino, and Other Men With HIV Who Have Sex With Men.American journal of public health · 2022Article
- Ambulances Required to Relieve Overcapacity Hospitals: A Novel Measure of Hospital Strain During the COVID-19 Pandemic in the United States.Annals of emergency medicine · 2022Article
- Associations between Florida counties' COVID-19 case and death rates and meaningful use among Medicaid providers: Cross-sectional ecologic study.PLOS digital health · 2022Article
- On the Interplay of Data and Cognitive Bias in Crisis Information Management: An Exploratory Study on Epidemic Response.Information systems frontiers : a journal of research and innovation · 2022Article
- Critical Periods, Critical Time Points and Day-of-the-Week Effects in COVID-19 Surveillance Data: An Example in Middlesex County, Massachusetts, USA.International journal of environmental research and public health · 2022Article
- Missing science: A scoping study of COVID-19 epidemiological data in the United States.PloS one · 2022Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
During the coronavirus pandemic, policy makers need to interpret available public health data to make decisions affecting public health. However, the United States' coronavirus response faced data gaps, inadequate and inconsistent definitions of data across different governmental jurisdictions, ambiguous timing in reporting, problems in accessing data, and changing interpretations from scientific institutions. These present numerous problems for the decision makers relying on this information. This paper documents some of the data pitfalls in coronavirus public health data reporting, as identified by the authors in the course of supporting data management for New England's coronavirus response. We provide recommendations for individuals to collect data more effectively during emergency situations such as a COVID-19 surge, as well as recommendations for institutions to provide more meaningful data for various users to access. Through this, we hope to motivate action to avoid data pitfalls during public health responses in the future.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.