What the study found
Respondents in the US COVID-19 response generally found data, infectious disease models, and collaborations with researchers to be useful. The study also found that the biggest challenges, and the main priorities for future investment, were data availability and quality, along with limited human resources.
Why the authors say this matters
The authors conclude that their 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 involved in the US COVID-19 response, including data collectors, modelers, and users of these tools. They asked about how useful different data-driven tools were, what challenges were most impactful, and what opportunities for future investment seemed most promising.
What worked and what didn't
Respondents overwhelmingly reported that data, models, and collaborations with researchers were useful. Data availability and quality were the most impactful challenges, and respondents wanted higher quality data, more granular data, and access to more types of data. Insufficient human resources was the second most influential challenge, and public health institutions were described as particularly under-resourced.
What to keep in mind
The abstract does not describe detailed study limitations beyond the survey’s scope. The findings reflect responses from 112 individuals engaged in COVID-19 response in the US.
Key points
- Survey respondents generally found data, models, and research collaborations useful for COVID-19 response work.
- Data availability and data quality were the most impactful challenges and the main areas for future investment.
- Respondents wanted higher quality, more granular, and more varied data types.
- Insufficient human resources was the second most influential challenge, especially in public health institutions.
- The authors say the findings provide concrete evidence for the value of data and modeling tools in epidemic response.
Disclosure
- Research title:
- Data and modeling were useful in COVID-19 response
- Publication date:
- 2026-02-23
- OpenAlex record:
- View
- Image credit:
- Photo by National Cancer Institute on Unsplash · Unsplash License
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