Cited by 73SARS-CoV-2 and COVID-19 ResearchSARS-CoV-2 detection and testingCOVID-19 epidemiological studies

The DOI matches its Crossref record; 10 of the 11 references it cites were found in a registry or an index, and 1 are not checked yet.

Tracking SARS-CoV-2 lineage B.1.1.7 dissemination: insights from nationwide spike gene target failure (SGTF) and spike gene late detection (SGTL) data, Portugal, week 49 2020 to week 3 2021

Open access
Borges, Vítor, Sousa, Carlos, Menezes, Luís, Gonçalves, António Maia, Picão, Miguel, Almeida, José Pedro, Vieita, Margarida, Santos, Rafael, Silva, Ana Rita, Costa, Mariana, Carneiro, Luís, Casaca, Pedro, Pinto-Leite, Pedro, Peralta-Santos, André, Isidro, Joana, Duarte, Sílvia, Vieira, Luís, Guiomar, Raquel, Silva, Susana, Nunes, Baltazar, Gomes, João P·2021·Eurosurveillance

Abstract

We show that the SARS-CoV-2 B.1.1.7 lineage is highly disseminated in Portugal, with the odds of B.1.1.7 proportion increasing at an estimated 89% (95% confidence interval: 83–95%) per week until week 3 2021. RT-PCR spike gene target late detection (SGTL) can constitute a useful surrogate to track B.1.1.7 spread, besides the spike gene target failure (SGTF) proxy. SGTL/SGTF samples were associated with statistically significant higher viral loads, but not with substantial shift in age distribution compared to non-SGTF/SGTL cases.

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Authors
Borges, V., Sousa, C., Menezes, L., Gonçalves, A. M., Picão, M., Almeida, J. P., Vieita, M., Santos, R., Silva, A. R., Costa, M., Carneiro, L., Casaca, P., Pinto-Leite, P., Peralta-Santos, A., Isidro, J., Duarte, S., Vieira, L., Guiomar, R., Silva, S., Nunes, B., & Gomes, J. P.
Affiliations
  • National Institute of Health Dr. Ricardo Jorge (PT)
  • Unilabs (Portugal) (PT)
  • Molecular Diagnostics Laboratory, Unilabs, Oporto, Portugal
  • Division of Epidemiology and Statistics, Directorate of Information and Analysis, Directorate-General of Health, Lisbon, Portugal
  • Innovation and Technology Unit, Department of Human Genetics; National Institute of Health Dr. Ricardo Jorge (INSA), Lisbon, Portugal
Venue
Eurosurveillance
Published
2021-03-11
Volume
26
Issue
10
ISSN
  • 1025-496X (ISSN-L)
  • 1560-7917
OpenAlex
W3134444996
Cited by
73
References
7
Citations by year
2026: 2 · 2024: 7 · 2023: 10 · 2022: 30 · 2021: 24
FWCI
5.62
Type
journal article
Language
en
Open access
Locations
  • Eurosurveillance (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) (submittedVersion, cc-by)
Funders
  • Fundação para a Ciência e a Tecnologia (01-0145, COMPETE, POCI-01-0145, PORTUGAL 2020, POCI-01-0145-FEDER-, COMPETE_2020, POCI-01-, POCI\01\0145\FEDER\022184)
  • European Regional Development Fund (COMPETE, POCI-01, COMPETE2020, PORTUGAL2020, POCI-01-0145-FEDER-022184, POCI-01-0145- FEDER)
Topics
  • Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
  • Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 detection and testing
  • Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
Keywords
SARS-CoV-2, B.1.1.7 lineage, viral load, COVID-19 surveillance, Portugal, RT-PCR testing
MeSH terms
COVID-19, SARS-CoV-2, Humans, Portugal, Spike Glycoprotein, Coronavirus

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