SARS-CoV-2 Genomic Epidemiology: Data and Sequencing Infrastructure - Table S1

Background: Genomic surveillance of SARS-CoV-2 is critical in monitoring viral lineages. Available data
reveal a significant gap between low- and middle-income countries and the rest of the world. Methods:
The SARS-CoV-2 sequencing costs using the Oxford NanoporeMinION device and hardware prices for data
computation in Lebanon were estimated and compared with those in developed countries. SARS-CoV-2
genomes deposited on the Global Initiative on Sharing All Influenza Data per 1000 COVID-19 cases were
determined per country. Results: Sequencing costs in Lebanon were significantly higher compared with
those in developed countries. Low- and middle-income countries showed limited sequencing capabilities
linked to the lack of support, high prices, long delivery delays and limited availability of trained personnel.
Conclusion: The authors recommend the mobilization of funds to develop whole-genome sequencingbased
surveillance platforms and the implementation of genomic epidemiology to better identify and
track outbreaks, leading to appropriate and mindful interventions.

背景：新型冠状病毒（SARS-CoV-2）的基因组监测对病毒谱系的监测工作至关重要。现有数据显示，低收入和中等收入国家与世界其他地区之间存在显著差距。
方法：本研究估算了黎巴嫩使用牛津纳米孔MinION（Oxford Nanopore MinION）测序仪开展SARS-CoV-2测序的成本，以及数据计算所需的硬件成本，并与发达国家进行对比。同时，按国家统计了全球流感数据共享倡议（Global Initiative on Sharing All Influenza Data）数据库中，每千例新冠（COVID-19）病例对应的SARS-CoV-2基因组收录数量。
结果：黎巴嫩的测序成本显著高于发达国家。低收入和中等收入国家的测序能力有限，这与支持力度不足、成本高昂、交付周期漫长以及专业培训人员匮乏密切相关。
结论：作者建议筹措资金以搭建基于全基因组测序的监测平台，并推广基因组流行病学的应用，从而更好地识别和追踪疫情暴发，进而实施恰当且审慎的干预措施。