An agent-based platform for simulating the impact of chlamydia vaccine in the US population.
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| Title: | An agent-based platform for simulating the impact of chlamydia vaccine in the US population. |
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| Authors: | Deng Q; Centre of Excellence in Artificial Intelligence for Public Health Advancement, York University, Toronto, Canada.; Laboratory for Industrial and Applied Mathematics, York University, Toronto, Canada., Ranson G; Laboratory for Industrial and Applied Mathematics, York University, Toronto, Canada.; Institut Camille Jordan, Université Claude Bernard Lyon 1, Villeurbanne, France., Bragazzi NL; Laboratory for Industrial and Applied Mathematics, York University, Toronto, Canada.; Department of Food and Drugs, University of Parma, Parma, Italy.; Department of Clinical Pharmacy, Saarland University, Saarbrücken, Germany., Castells VB; Sanofi, Lyon, France., Chaves SS; Sanofi, Lyon, France., Thommes E; Sanofi, Toronto, Canada.; University of Guelph, Guelph, Ontario, Canada., Wu J; Centre of Excellence in Artificial Intelligence for Public Health Advancement, York University, Toronto, Canada. wujh@yorku.ca.; Laboratory for Industrial and Applied Mathematics, York University, Toronto, Canada. wujh@yorku.ca. |
| Source: | Nature communications [Nat Commun] 2026 Jun 02; Vol. 17 (1). Date of Electronic Publication: 2026 Jun 02. |
| Publication Type: | Journal Article |
| 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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