Gong Yu-Nong, Kuo Nai-Yu, Yeh Ting-Syuan, Shih Shin-Ru, Chen Guang-Wu
Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan; International Master Degree Program for Molecular Medicine in Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan; Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan.
Medical Education Department, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan.
Biomed J. 2024 Nov 26:100820. doi: 10.1016/j.bj.2024.100820.
This review presents a comprehensive perspective on the genomic surveillance of SARS-CoV-2 in Taiwan, with a focus on next-generation sequencing and phylogenetic interpretation. This article aimed to explore how Taiwan has utilized genomic sequencing technologies and surveillance to monitor and mitigate the spread of COVID-19. We examined databases and sources of genomic sequences and highlighted the role of data science methodologies in the explanation and analyses of evolutionary data. This review addressed the challenges and limitations inherent in genomic surveillance, such as concerns regarding data quality and the necessity for interdisciplinary expertise for accurate data interpretation. Special attention was given to the unique challenges faced by Taiwan, including its high population density and major transit destination for international travelers. We underscored the far-reaching implications of genomic surveillance data for public health policy, particularly in influencing decisions regarding travel restrictions, vaccine administration, and public health decision-making. Studies were examined to demonstrate the effectiveness of using genomic data to implement public health measures. Future research should prioritize the integration of methodologies and technologies in evolutionary data science, particularly focusing on phylodynamic analytics. This integration is crucial to enhance the precision and applicability of genomic data. Overall, we have provided an overview of the significance of genomic surveillance in tracking SARS-CoV-2 variants globally and the pivotal role of data science methodologies in interpreting these data for effective public health interventions.
本综述全面介绍了台湾地区对严重急性呼吸综合征冠状病毒2（SARS-CoV-2）的基因组监测情况，重点关注下一代测序和系统发育分析。本文旨在探讨台湾如何利用基因组测序技术和监测来监控和缓解新型冠状病毒肺炎（COVID-19）的传播。我们研究了基因组序列的数据库和来源，并强调了数据科学方法在进化数据解释和分析中的作用。本综述探讨了基因组监测中固有的挑战和局限性，例如对数据质量的担忧以及准确解释数据所需的跨学科专业知识。特别关注了台湾面临的独特挑战，包括其高人口密度以及作为国际旅客主要中转目的地的情况。我们强调了基因组监测数据对公共卫生政策的深远影响，尤其是在影响旅行限制、疫苗接种和公共卫生决策等方面的决策。对各项研究进行了考察，以证明利用基因组数据实施公共卫生措施的有效性。未来研究应优先考虑进化数据科学中方法和技术的整合，尤其侧重于系统发育动力学分析。这种整合对于提高基因组数据的准确性和适用性至关重要。总体而言，我们概述了基因组监测在全球追踪SARS-CoV-2变异株方面的重要性，以及数据科学方法在解释这些数据以进行有效公共卫生干预方面的关键作用。
