Coupled models of genomic surveillance and evolving pandemics with applications for timely public health interventions.
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| Title: | Coupled models of genomic surveillance and evolving pandemics with applications for timely public health interventions. |
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| Authors: | Espinoza B; Network Systems Science and Advanced Computing Division, Biocomplexity Institute, University of Virginia, Charlottesville, VA 22904., Adiga A; Network Systems Science and Advanced Computing Division, Biocomplexity Institute, University of Virginia, Charlottesville, VA 22904., Venkatramanan S; Network Systems Science and Advanced Computing Division, Biocomplexity Institute, University of Virginia, Charlottesville, VA 22904., Warren AS; Network Systems Science and Advanced Computing Division, Biocomplexity Institute, University of Virginia, Charlottesville, VA 22904., Chen J; Network Systems Science and Advanced Computing Division, Biocomplexity Institute, University of Virginia, Charlottesville, VA 22904., Lewis BL; Network Systems Science and Advanced Computing Division, Biocomplexity Institute, University of Virginia, Charlottesville, VA 22904., Vullikanti A; Network Systems Science and Advanced Computing Division, Biocomplexity Institute, University of Virginia, Charlottesville, VA 22904.; Department of Computer Science, University of Virginia, Charlottesville, VA 22904., Swarup S; Network Systems Science and Advanced Computing Division, Biocomplexity Institute, University of Virginia, Charlottesville, VA 22904., Moon S; Network Systems Science and Advanced Computing Division, Biocomplexity Institute, University of Virginia, Charlottesville, VA 22904., Barrett CL; Network Systems Science and Advanced Computing Division, Biocomplexity Institute, University of Virginia, Charlottesville, VA 22904.; Department of Computer Science, University of Virginia, Charlottesville, VA 22904., Athreya S; Indian Statistical Institute, Bengaluru, Karnataka 560059, India.; International Centre for Theoretical Sciences, Bengaluru, Karnataka 560089, India., Sundaresan R; Department of Electrical and Communication Engineering, Indian Institute of Science, Bengaluru, Karnataka 560012, India.; Robert Bosch Centre for Cyber-Physical Systems, Indian Institute of Science, Bengaluru, Karnataka 560012, India.; Centre for Networked Intelligence, Indian Institute of Science, Bengaluru, Karnataka 560012, India., Chandru V; Strand Life Sciences, Bengaluru, Karnataka 560024, India.; BioSystems Science and Engineering, Indian Institute of Science, Bengaluru, Karnataka 560012, India., Laxminarayan R; Princeton University, Princeton, NJ 08542.; One Health Trust, Washington, DC 20015., Schaffer B; Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544.; Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ 08544., Poor HV; Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544., Levin SA; Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544., Marathe MV; Network Systems Science and Advanced Computing Division, Biocomplexity Institute, University of Virginia, Charlottesville, VA 22904.; Department of Computer Science, University of Virginia, Charlottesville, VA 22904. |
| Source: | Proceedings of the National Academy of Sciences of the United States of America [Proc Natl Acad Sci U S A] 2023 Nov 28; Vol. 120 (48), pp. e2305227120. Date of Electronic Publication: 2023 Nov 20. |
| Publication Type: | Journal Article; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: National Academy of Sciences Country of Publication: United States NLM ID: 7505876 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1091-6490 (Electronic) Linking ISSN: 00278424 NLM ISO Abbreviation: Proc Natl Acad Sci U S A Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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