Exploring epidemic control policies using nonlinear programming and mathematical models.
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| Title: | Exploring epidemic control policies using nonlinear programming and mathematical models. |
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| Authors: | Montes-Olivas S; Department of Infectious Disease Epidemiology and Dynamics, London School of Hygiene & Tropical Medicine, London, United Kingdom., Kucharski AJ; Department of Infectious Disease Epidemiology and Dynamics, London School of Hygiene & Tropical Medicine, London, United Kingdom., Gravenor MB; Department of Health Data Science, Faculty of Medicine, Health & Life Science, Swansea University, Swansea, United Kingdom., Frost SDW; Department of Infectious Disease Epidemiology and Dynamics, London School of Hygiene & Tropical Medicine, London, United Kingdom.; Microsoft Discovery and Quantum, Microsoft, Redmond, Washington D. C., United States of America. |
| Source: | PLoS computational biology [PLoS Comput Biol] 2026 May 06; Vol. 22 (5), pp. e1014238. Date of Electronic Publication: 2026 May 06 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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