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The challenges of data in future pandemics.
Nigel Shadbolt1, Alys Brett2, Min Chen3
1Department of Computer Science, University of Oxford, UK; The Open Data Institute, London, UK.
Epidemics
|August 5, 2022
Summary
Data accessibility and quality challenges during the COVID-19 pandemic hindered effective response. This paper reviews these issues and proposes solutions for a robust future pandemic data ecosystem.
Area of Science:
- Public Health
- Data Science
- Epidemiology
Background:
- The COVID-19 pandemic highlighted critical data challenges.
- Data availability, quality, and accessibility are crucial for pandemic response.
Purpose of the Study:
- To review data challenges encountered during the COVID-19 pandemic.
- To recommend strategies for improving pandemic data ecosystems.
Main Methods:
- Literature review of data challenges in pandemic response.
- Analysis of data accessibility, quality, and reusability issues.
Main Results:
- Identified significant barriers in data acquisition and usage.
- Highlighted variability in data quality and coverage across different sources.
- Noted difficulties in repurposing data for evolving pandemic needs.
Conclusions:
- A resilient data ecosystem is vital for future pandemic preparedness.
- Recommendations focus on enhancing data sharing, standardization, and accessibility.
- Proactive development of data infrastructure is essential for effective public health responses.
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