Reproducible Science Is Vital for a Stronger Evidence Base During the COVID-19 Pandemic.
Reproducible Science Is Vital for a Stronger Evidence Base During the COVID-19 Pandemic.
复制标题
在 COVID-19 大流行期间，可重复的科学对于建立更强有力的证据基础至关重要。
DOI：
10.1111/gean.12314
复制
发表时间：
2021
影响因子：
3.6
通讯作者：
Nichols,BrookeE
中科院分区：
文献类型：
--
作者：
Sy,KarlaThereseL;White,LauraF;Nichols,BrookeE
随着我们建立 SARS-CoV-2 流行病学、诊断、预防和治疗的证据基础，可重复性研究变得更加必要。在他的研究中，Paez 使用人口密度案例研究评估了大流行期间 COVID-19 研究的可重复性。他发现，大多数评估人口密度与 COVID-19 结果关系的文章都没有公开共享数据和代码，除了少数文章，包括我们的论文，他表示该论文“说明了良好的可重复性实践的重要性”。 Paez从空间分析的角度使用我们的代码和数据重新创建了我们的分析，他的新模型得出了不同的结论。我们和 Paez 的研究结果以及有关该主题的其他现有文献之间的差异，更大地推动了进一步研究的需要。由于跨广泛的科学学科的 COVID-19 研究近乎呈指数级增长，可重复的科学是产生关于 COVID-19 的可靠、严格和有力的证据的重要组成部分，这对于为临床实践和政策提供信息以有效消除这一流行病至关重要。
Reproducible research becomes even more imperative as we build the evidence base on SARS‐CoV‐2 epidemiology, diagnosis, prevention, and treatment. In his study, Paez assessed the reproducibility of COVID‐19 research during the pandemic, using a case study of population density. He found that most articles that assess the relationship of population density and COVID‐19 outcomes do not publicly share data and code, except for a few, including our paper, which he stated “illustrates the importance of good reproducibility practices”. Paez recreated our analysis using our code and data from the perspective of spatial analysis, and his new model came to a different conclusion. The disparity between our and Paez’s findings, as well as other existing literature on the topic, give greater impetus to the need for further research. As there has been near exponential growth of COVID‐19 research across a wide range of scientific disciplines, reproducible science is a vital component to produce reliable, rigorous, and robust evidence on COVID‐19, which will be essential to inform clinical practice and policy in order to effectively eliminate the pandemic.