<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>17</volume><submitter>Merhi G</submitter><pubmed_abstract>&lt;b>Background:&lt;/b> 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. &lt;b>Methods:&lt;/b> The SARS-CoV-2 sequencing costs using the Oxford Nanopore MinION 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. &lt;b>Results:&lt;/b> 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 l</pubmed_abstract><journal>Future microbiology</journal><pagination>1001-1007</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9332909</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>SARS-CoV-2 genomic epidemiology: data and sequencing infrastructure.</pubmed_title><pmcid>PMC9332909</pmcid><pubmed_authors>Merhi G</pubmed_authors><pubmed_authors>Haidar S</pubmed_authors><pubmed_authors>Tokajian S</pubmed_authors><pubmed_authors>Koweyes J</pubmed_authors><pubmed_authors>Khoury CA</pubmed_authors><pubmed_authors>Salloum T</pubmed_authors></additional><is_claimable>false</is_claimable><name>SARS-CoV-2 genomic epidemiology: data and sequencing infrastructure.</name><description>&lt;b>Background:&lt;/b> 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. &lt;b>Methods:&lt;/b> The SARS-CoV-2 sequencing costs using the Oxford Nanopore MinION 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. &lt;b>Results:&lt;/b> 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 l</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Sep</publication><modification>2025-04-27T01:09:31.161Z</modification><creation>2025-04-06T18:09:16.266Z</creation></dates><accession>S-EPMC9332909</accession><cross_references><pubmed>35899481</pubmed><doi>10.2217/fmb-2021-0207</doi></cross_references></HashMap>