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Phylogenetic and phylodynamic approaches to understanding and combating the early SARS-CoV-2 pandemic.
Attwood, Stephen W; Hill, Sarah C; Aanensen, David M; Connor, Thomas R; Pybus, Oliver G.
  • Attwood SW; Department of Zoology, University of Oxford, Oxford, UK. stephen.attwood@zoo.ox.ac.uk.
  • Hill SC; Pathogen Genomics Unit, Public Health Wales NHS Trust, Cardiff, UK. stephen.attwood@zoo.ox.ac.uk.
  • Aanensen DM; Department of Pathobiology and Population Sciences, Royal Veterinary College, University of London, London, UK.
  • Connor TR; Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Hinxton, UK.
  • Pybus OG; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Nat Rev Genet ; 23(9): 547-562, 2022 09.
Article in English | MEDLINE | ID: covidwho-1805619
ABSTRACT
Determining the transmissibility, prevalence and patterns of movement of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections is central to our understanding of the impact of the pandemic and to the design of effective control strategies. Phylogenies (evolutionary trees) have provided key insights into the international spread of SARS-CoV-2 and enabled investigation of individual outbreaks and transmission chains in specific settings. Phylodynamic approaches combine evolutionary, demographic and epidemiological concepts and have helped track virus genetic changes, identify emerging variants and inform public health strategy. Here, we review and synthesize studies that illustrate how phylogenetic and phylodynamic techniques were applied during the first year of the pandemic, and summarize their contributions to our understanding of SARS-CoV-2 transmission and control.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Observational study / Randomized controlled trials Topics: Variants Limits: Humans Language: English Journal: Nat Rev Genet Journal subject: Genetics Year: 2022 Document Type: Article Affiliation country: S41576-022-00483-8

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Observational study / Randomized controlled trials Topics: Variants Limits: Humans Language: English Journal: Nat Rev Genet Journal subject: Genetics Year: 2022 Document Type: Article Affiliation country: S41576-022-00483-8