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Building a Resilient Scientific Network for COVID-19 and Beyond.
Babady, N Esther; Burckhardt, Rachel M; Krammer, Florian; Moore, Penny L; Enquist, Lynn W.
  • Babady NE; Infectious Diseases Service, Department of Medicine, Memorial Sloan Kettering Cancer Centergrid.51462.34, New York, New York, USA.
  • Burckhardt RM; Clinical Microbiology Service, Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Centergrid.51462.34, New York, New York, USA.
  • Krammer F; American Academy of Microbiology, Washington, DC, USA.
  • Moore PL; Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Enquist LW; Department of Pathology, Molecular and Cell Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
mBio ; 13(5): e0222322, 2022 10 26.
Article in English | MEDLINE | ID: covidwho-2038242
ABSTRACT
The continued evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) necessitates that the global scientific community monitor, assess, and respond to the evolving coronavirus disease (COVID-19) pandemic. But the current reactive approach to emerging variants is ill-suited to address the quickly evolving and ever-changing pandemic. To tackle this challenge, investments in pathogen surveillance, systematic variant characterization, and data infrastructure and sharing across public and private sectors will be critical for planning proactive responses to emerging variants. Additionally, an emphasis on incorporating real-time variant identification in point-of-care diagnostics can help inform patient treatment. Active approaches to understand and identify "immunity gaps" can inform design of future vaccines, therapeutics, and diagnostics that will be more resistant to novel variants. Approaches where the scientific community actively plans for and anticipates changes to infectious diseases will result in a more resilient system, capable of adapting to evolving pathogens quickly and effectively.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Vaccines / COVID-19 Type of study: Diagnostic study / Systematic review/Meta Analysis Topics: Vaccines / Variants Limits: Humans Language: English Journal: MBio Year: 2022 Document Type: Article Affiliation country: Mbio.02223-22

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Vaccines / COVID-19 Type of study: Diagnostic study / Systematic review/Meta Analysis Topics: Vaccines / Variants Limits: Humans Language: English Journal: MBio Year: 2022 Document Type: Article Affiliation country: Mbio.02223-22