Editorial: Data Science in Action in Response to the Outbreak of COVID-19

Wang, W. C. (2022). Statistical Models for Evaluating COVID-19 Pandemic [doctoral dissertation, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU202101901
林茂文（2020）。Research and Analysis of COVID-19 Epidemic on the Prospect of Energy Transition。石油季刊，56(4)，1-30。https://www.airitilibrary.com/Article/Detail?DocID=10229671-202012-202101070023-202101070023-1-30
高長（2020）。The Impacts of COVID-19 and Restructuring the Global Supply Chain。展望與探索月刊，18(6)，63-79。https://www.airitilibrary.com/Article/Detail?DocID=P20200116001-202006-202007060026-202007060026-63-79
陳玫汝（2020）。The Psychological Impact and Care during the Outbreak of COVID-19。中醫藥研究論叢，23()，129-133。https://doi.org/10.6516/TJTCM.202006/SP_23.0009
Yi, G. Y., He, W., Lin, D. K. J., & Yu, C. M. (2021). Testing for COVID-19: Some Statistical Issues. Journal of Data Science, 19(2), 243-252. https://doi.org/10.6339/21-JDS993