Global disparities in SARS-CoV-2 genomic surveillance
Genomic sequencing provides critical information to track the evolution and spread of SARS-CoV-2, optimize molecular tests, treatments and vaccines, and guide public health responses. To investigate the spatiotemporal heterogeneity in the global SARS-CoV-2 genomic surveillance, we estimated the impa...
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| Formaat: | Internet publication |
| Taal: | English |
| Gepubliceerd in: |
2021
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| _version_ | 1826314461562011648 |
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| author | Brito, AF Semenova, E Dudas, G Hassler, GW Kalinich, CC Kraemer, MUG Ho, J Tegally, H Githinji, G Agoti, CN Matkin, LE Whittaker, C Danish Covid-19 Genome Consortium COVID-19 Impact Project Network for Genomic Surveillance in South Africa (NGS-SA) GISAID core curation team Howden, BP Sintchenko, V Zuckerman, NS Mor, O Blankenship, HM de Oliveira, T Lin, RTP Siqueira, MM Resende, PC Vasconcelos, ATR Spilki, FR Aguiar, RS Alexiev, I Ivanov, IN Philipova, I Carrington, CVF Sahadeo, NSD Gurry, C Maurer-Stroh, S Naidoo, D von Eije, KJ Perkins, MD van Kerkhove, M Hill, SC Sabino, EC Pybus, OG Dye, C Bhatt, S Flaxman, S Suchard, MA Grubaugh, ND Baele, G Faria, NR |
| author_facet | Brito, AF Semenova, E Dudas, G Hassler, GW Kalinich, CC Kraemer, MUG Ho, J Tegally, H Githinji, G Agoti, CN Matkin, LE Whittaker, C Danish Covid-19 Genome Consortium COVID-19 Impact Project Network for Genomic Surveillance in South Africa (NGS-SA) GISAID core curation team Howden, BP Sintchenko, V Zuckerman, NS Mor, O Blankenship, HM de Oliveira, T Lin, RTP Siqueira, MM Resende, PC Vasconcelos, ATR Spilki, FR Aguiar, RS Alexiev, I Ivanov, IN Philipova, I Carrington, CVF Sahadeo, NSD Gurry, C Maurer-Stroh, S Naidoo, D von Eije, KJ Perkins, MD van Kerkhove, M Hill, SC Sabino, EC Pybus, OG Dye, C Bhatt, S Flaxman, S Suchard, MA Grubaugh, ND Baele, G Faria, NR |
| author_sort | Brito, AF |
| collection | OXFORD |
| description | Genomic sequencing provides critical information to track the evolution and spread of SARS-CoV-2, optimize molecular tests, treatments and vaccines, and guide public health responses. To investigate the spatiotemporal heterogeneity in the global SARS-CoV-2 genomic surveillance, we estimated the impact of sequencing intensity and turnaround times (TAT) on variant detection in 167 countries. Most countries submit genomes >21 days after sample collection, and 77% of low and middle income countries sequenced <0.5% of their cases. We found that sequencing at least 0.5% of the cases, with a TAT <21 days, could be a benchmark for SARS-CoV-2 genomic surveillance efforts. Socioeconomic inequalities substantially impact our ability to quickly detect SARS-CoV-2 variants, and undermine the global pandemic preparedness. |
| first_indexed | 2024-09-25T04:34:25Z |
| format | Internet publication |
| id | oxford-uuid:03655ea8-0036-4d57-bf9a-9daadf8bc4b0 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-09-25T04:34:25Z |
| publishDate | 2021 |
| record_format | dspace |
| spelling | oxford-uuid:03655ea8-0036-4d57-bf9a-9daadf8bc4b02024-09-13T09:47:18ZGlobal disparities in SARS-CoV-2 genomic surveillanceInternet publicationhttp://purl.org/coar/resource_type/c_7ad9uuid:03655ea8-0036-4d57-bf9a-9daadf8bc4b0EnglishSymplectic Elements2021Brito, AFSemenova, EDudas, GHassler, GWKalinich, CCKraemer, MUGHo, JTegally, HGithinji, GAgoti, CNMatkin, LEWhittaker, CDanish Covid-19 Genome ConsortiumCOVID-19 Impact ProjectNetwork for Genomic Surveillance in South Africa (NGS-SA)GISAID core curation teamHowden, BPSintchenko, VZuckerman, NSMor, OBlankenship, HMde Oliveira, TLin, RTPSiqueira, MMResende, PCVasconcelos, ATRSpilki, FRAguiar, RSAlexiev, IIvanov, INPhilipova, ICarrington, CVFSahadeo, NSDGurry, CMaurer-Stroh, SNaidoo, Dvon Eije, KJPerkins, MDvan Kerkhove, MHill, SCSabino, ECPybus, OGDye, CBhatt, SFlaxman, SSuchard, MAGrubaugh, NDBaele, GFaria, NRGenomic sequencing provides critical information to track the evolution and spread of SARS-CoV-2, optimize molecular tests, treatments and vaccines, and guide public health responses. To investigate the spatiotemporal heterogeneity in the global SARS-CoV-2 genomic surveillance, we estimated the impact of sequencing intensity and turnaround times (TAT) on variant detection in 167 countries. Most countries submit genomes >21 days after sample collection, and 77% of low and middle income countries sequenced <0.5% of their cases. We found that sequencing at least 0.5% of the cases, with a TAT <21 days, could be a benchmark for SARS-CoV-2 genomic surveillance efforts. Socioeconomic inequalities substantially impact our ability to quickly detect SARS-CoV-2 variants, and undermine the global pandemic preparedness. |
| spellingShingle | Brito, AF Semenova, E Dudas, G Hassler, GW Kalinich, CC Kraemer, MUG Ho, J Tegally, H Githinji, G Agoti, CN Matkin, LE Whittaker, C Danish Covid-19 Genome Consortium COVID-19 Impact Project Network for Genomic Surveillance in South Africa (NGS-SA) GISAID core curation team Howden, BP Sintchenko, V Zuckerman, NS Mor, O Blankenship, HM de Oliveira, T Lin, RTP Siqueira, MM Resende, PC Vasconcelos, ATR Spilki, FR Aguiar, RS Alexiev, I Ivanov, IN Philipova, I Carrington, CVF Sahadeo, NSD Gurry, C Maurer-Stroh, S Naidoo, D von Eije, KJ Perkins, MD van Kerkhove, M Hill, SC Sabino, EC Pybus, OG Dye, C Bhatt, S Flaxman, S Suchard, MA Grubaugh, ND Baele, G Faria, NR Global disparities in SARS-CoV-2 genomic surveillance |
| title | Global disparities in SARS-CoV-2 genomic surveillance |
| title_full | Global disparities in SARS-CoV-2 genomic surveillance |
| title_fullStr | Global disparities in SARS-CoV-2 genomic surveillance |
| title_full_unstemmed | Global disparities in SARS-CoV-2 genomic surveillance |
| title_short | Global disparities in SARS-CoV-2 genomic surveillance |
| title_sort | global disparities in sars cov 2 genomic surveillance |
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