What the study found
The study found that people involved in the U.S. COVID-19 response generally found data, infectious disease models, and collaboration with researchers useful. It also found that the biggest problems, and the main priorities for future investment, were data availability and data quality.
Why the authors say this matters
The authors conclude that the findings provide concrete evidence of the value of data and modeling tools for epidemic response. They also say the results point to priorities for future investment in public health response.
What the researchers tested
The researchers surveyed 112 people engaged in COVID-19 response in the U.S., including data collectors, modelers, and users of these tools. The survey asked about the usefulness of data-driven tools, the most impactful challenges, and the most promising opportunities for future investment.
What worked and what didn't
Respondents overwhelmingly said data, models, and collaboration with researchers were useful. They identified higher-quality data, more granular data, and access to a wider variety of data types as important needs, and they also pointed to insufficient human resources, especially in public health institutions, as a major challenge. The abstract also notes the value of academics, along with challenges in science communication and political influences.
What to keep in mind
The study is based on a survey of 112 respondents in the U.S., so it reflects the views of that group. The abstract does not describe detailed survey methods, response rates, or limitations beyond the scope of the respondents surveyed.
Key points
- Surveyed 112 people involved in the U.S. COVID-19 response.
- Respondents found data, models, and researcher collaboration useful.
- Data availability and data quality were the biggest challenges and top investment priorities.
- Respondents wanted higher-quality, more granular, and more varied data.
- Insufficient human resources, especially in public health institutions, was another major challenge.
Disclosure
- Research title:
- COVID-19 responders valued data and models, but faced data and staffing gaps
- Authors:
- Kristen Nixon, Shaun Truelove, Lauren Gardner
- Institutions:
- Johns Hopkins University, Johns Hopkins University, Johns Hopkins University
- Publication date:
- 2026-02-23
- OpenAlex record:
- View
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