Genomic surveillance of SARS-CoV-2 in Taiwan: A perspective on evolutionary data interpretation and sequencing issues
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 miti...
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| Language: | English |
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Elsevier
2025-08-01
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| Series: | Biomedical Journal |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2319417024001239 |
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| author | Yu-Nong Gong Nai-Yu Kuo Ting-Syuan Yeh Shin-Ru Shih Guang-Wu Chen |
| author_facet | Yu-Nong Gong Nai-Yu Kuo Ting-Syuan Yeh Shin-Ru Shih Guang-Wu Chen |
| author_sort | Yu-Nong Gong |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-99073f082f2b40bdbba7d950f36054a4 |
| institution | Kabale University |
| issn | 2319-4170 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Biomedical Journal |
| spelling | doaj-art-99073f082f2b40bdbba7d950f36054a42025-08-20T03:56:14ZengElsevierBiomedical Journal2319-41702025-08-0148410082010.1016/j.bj.2024.100820Genomic surveillance of SARS-CoV-2 in Taiwan: A perspective on evolutionary data interpretation and sequencing issuesYu-Nong Gong0Nai-Yu Kuo1Ting-Syuan Yeh2Shin-Ru Shih3Guang-Wu Chen4Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan; College of Medicine, Chang Gung University, Taoyuan, Taiwan; Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, TaiwanMedical Education Department, Linkou Chang Gung Memorial Hospital, Taoyuan, TaiwanNational Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, TaiwanResearch Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan; Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan; Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan; Research Center for Chinese Herbal Medicine, Research Center for Food and Cosmetic Safety, and Graduate Institute of Health Industry Technology, College of Human Ecology, Chang Gung University of Science and Technology, Taoyuan, TaiwanResearch Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan; Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan; Department of Computer Science and Information Engineering, College of Engineering, Chang Gung University, Taoyuan, Taiwan; Corresponding author. Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, No.259, Wenhua 1st Rd., Guishan Dist., Taoyuan City 33302, TaiwanThis 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.http://www.sciencedirect.com/science/article/pii/S2319417024001239SARS-CoV-2Genomic surveillanceNext-generation sequencingPhylodynamicsData science |
| spellingShingle | Yu-Nong Gong Nai-Yu Kuo Ting-Syuan Yeh Shin-Ru Shih Guang-Wu Chen Genomic surveillance of SARS-CoV-2 in Taiwan: A perspective on evolutionary data interpretation and sequencing issues Biomedical Journal SARS-CoV-2 Genomic surveillance Next-generation sequencing Phylodynamics Data science |
| title | Genomic surveillance of SARS-CoV-2 in Taiwan: A perspective on evolutionary data interpretation and sequencing issues |
| title_full | Genomic surveillance of SARS-CoV-2 in Taiwan: A perspective on evolutionary data interpretation and sequencing issues |
| title_fullStr | Genomic surveillance of SARS-CoV-2 in Taiwan: A perspective on evolutionary data interpretation and sequencing issues |
| title_full_unstemmed | Genomic surveillance of SARS-CoV-2 in Taiwan: A perspective on evolutionary data interpretation and sequencing issues |
| title_short | Genomic surveillance of SARS-CoV-2 in Taiwan: A perspective on evolutionary data interpretation and sequencing issues |
| title_sort | genomic surveillance of sars cov 2 in taiwan a perspective on evolutionary data interpretation and sequencing issues |
| topic | SARS-CoV-2 Genomic surveillance Next-generation sequencing Phylodynamics Data science |
| url | http://www.sciencedirect.com/science/article/pii/S2319417024001239 |
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