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.