Integrating artificial intelligence with mechanistic epidemiological modeling: a scoping review of opportunities and challenges.
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| Title: | Integrating artificial intelligence with mechanistic epidemiological modeling: a scoping review of opportunities and challenges. |
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| Authors: | Ye Y; Center for Infectious Disease Modeling and Analysis, Yale School of Public Health, New Haven, CT, USA., Pandey A; Center for Infectious Disease Modeling and Analysis, Yale School of Public Health, New Haven, CT, USA., Bawden C; Department of Microbiology and Immunology, McGill University, Montréal, QC, Canada.; Agent-Based Modelling Laboratory, York University, Toronto, ON, Canada., Sumsuzzman DM; Agent-Based Modelling Laboratory, York University, Toronto, ON, Canada., Rajput R; Center for Infectious Disease Modeling and Analysis, Yale School of Public Health, New Haven, CT, USA., Shoukat A; Department of Mathematics and Statistics, University of Regina, Regina, SK, Canada., Singer BH; Emerging Pathogens Institute, University of Florida, Gainesville, FL, USA., Moghadas SM; Agent-Based Modelling Laboratory, York University, Toronto, ON, Canada., Galvani AP; Center for Infectious Disease Modeling and Analysis, Yale School of Public Health, New Haven, CT, USA. alison.galvani@yale.edu. |
| Source: | Nature communications [Nat Commun] 2025 Jan 10; Vol. 16 (1), pp. 581. Date of Electronic Publication: 2025 Jan 10. |
| Publication Type: | Journal Article; Scoping Review |
| Journal Info: | Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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