Department of Computer Science, University of Oxford, UK; The Open Data Institute, London, UK.
UKAEA Software Engineering Group, UK; Scottish COVID-19 Response Consortium, UK.
Epidemics. 2022 Sep;40:100612. doi: 10.1016/j.epidem.2022.100612. Epub 2022 Jul 20.
The use of data has been essential throughout the unfolding COVID-19 pandemic. We have needed it to populate our models, inform our understanding, and shape our responses to the disease. However, data has not always been easy to find and access, it has varied in quality and coverage, been difficult to reuse or repurpose. This paper reviews these and other challenges and recommends steps to develop a data ecosystem better able to deal with future pandemics by better supporting preparedness, prevention, detection and response.
在整个 COVID-19 大流行期间,数据的使用至关重要。我们需要数据来填充模型、加深理解并为疾病做出反应。然而,数据并不总是容易找到和获取的,其质量和覆盖范围各不相同,难以重复使用或重新利用。本文回顾了这些挑战和其他挑战,并提出了一些建议步骤,以通过更好地支持准备、预防、检测和应对,来开发一个更能应对未来大流行的数据集生态系统。