Epihiper-A high performance computational modeling framework to support epidemic science.
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| Title: | Epihiper-A high performance computational modeling framework to support epidemic science. |
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| Authors: | Chen J; Biocomplexity Institute, University of Virginia, Charlottesville, VA, USA., Hoops S; Biocomplexity Institute, University of Virginia, Charlottesville, VA, USA., Mortveit HS; Biocomplexity Institute, University of Virginia, Charlottesville, VA, USA.; Department of Systems and Information Engineering, University of Virginia, Charlottesville, VA, USA., Lewis BL; Biocomplexity Institute, University of Virginia, Charlottesville, VA, USA., Machi D; Biocomplexity Institute, University of Virginia, Charlottesville, VA, USA., Bhattacharya P; Biocomplexity Institute, University of Virginia, Charlottesville, VA, USA., Venkatramanan S; Biocomplexity Institute, University of Virginia, Charlottesville, VA, USA., Wilson ML; Biocomplexity Institute, University of Virginia, Charlottesville, VA, USA., Barrett CL; Biocomplexity Institute, University of Virginia, Charlottesville, VA, USA.; Department of Computer Science, University of Virginia, Charlottesville, VA, USA., Marathe MV; Biocomplexity Institute, University of Virginia, Charlottesville, VA, USA.; Department of Computer Science, University of Virginia, Charlottesville, VA, USA. |
| Source: | PNAS nexus [PNAS Nexus] 2024 Dec 11; Vol. 4 (1), pp. pgae557. Date of Electronic Publication: 2024 Dec 11 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Oxford University Press on behalf of the National Academy of Sciences Country of Publication: England NLM ID: 9918367777906676 Publication Model: eCollection Cited Medium: Internet ISSN: 2752-6542 (Electronic) Linking ISSN: 27526542 NLM ISO Abbreviation: PNAS Nexus Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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