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Toward a global virus genomic surveillance network.
Hill, Verity; Githinji, George; Vogels, Chantal B F; Bento, Ana I; Chaguza, Chrispin; Carrington, Christine V F; Grubaugh, Nathan D.
  • Hill V; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA. Electronic address: verity.hill@yale.edu.
  • Githinji G; KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya; Department of Biochemistry and Biotechnology, Pwani University, Kilifi, Kenya.
  • Vogels CBF; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA; Yale Institute for Global Health, Yale University, New Haven, CT, USA.
  • Bento AI; Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, IN, USA; The Rockefeller Foundation, New York, NY, USA.
  • Chaguza C; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA; Yale Institute for Global Health, Yale University, New Haven, CT, USA.
  • Carrington CVF; Department of Preclinical Sciences, The University of the West Indies, St. Augustine Campus, St. Augustine, Trinidad and Tobago.
  • Grubaugh ND; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA; Yale Institute for Global Health, Yale University, New Haven, CT, USA; Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA; Public Health Modeling Unit, Yale School of
Cell Host Microbe ; 31(6): 861-873, 2023 Jun 14.
Article in English | MEDLINE | ID: covidwho-2262887
ABSTRACT
The COVID-19 pandemic galvanized the field of virus genomic surveillance, demonstrating its utility for public health. Now, we must harness the momentum that led to increased infrastructure, training, and political will to build a sustainable global genomic surveillance network for other epidemic and endemic viruses. We suggest a generalizable modular sequencing framework wherein users can easily switch between virus targets to maximize cost-effectiveness and maintain readiness for new threats. We also highlight challenges associated with genomic surveillance and when global inequalities persist. We propose solutions to mitigate some of these issues, including training and multilateral partnerships. Exploring alternatives to clinical sequencing can also reduce the cost of surveillance programs. Finally, we discuss how establishing genomic surveillance would aid control programs and potentially provide a warning system for outbreaks, using a global respiratory virus (RSV), an arbovirus (dengue virus), and a regional zoonotic virus (Lassa virus) as examples.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Viruses / COVID-19 Type of study: Prognostic study Limits: Humans Language: English Journal: Cell Host Microbe Journal subject: Microbiology Year: 2023 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Viruses / COVID-19 Type of study: Prognostic study Limits: Humans Language: English Journal: Cell Host Microbe Journal subject: Microbiology Year: 2023 Document Type: Article