Enhancing mass vaccination programs with queueing theory and spatial optimization.
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| Title: | Enhancing mass vaccination programs with queueing theory and spatial optimization. |
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| Authors: | Xie S; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA, United States., Rieders M; Department of Operations, Information, and Decisions, The Wharton School, University of Pennsylvania, Philadelphia, PA, United States., Changolkar S; Department of Operations, Information, and Decisions, The Wharton School, University of Pennsylvania, Philadelphia, PA, United States., Bhattacharya BB; Department of Statistics and Data Science, The Wharton School, University of Pennsylvania, Philadelphia, PA, United States., Diaz EW; Zoonotic Disease Research Lab, School of Public Health and Administration, Universidad Peruana Cayetano Heredia, Lima, Peru., Levy MZ; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA, United States.; Zoonotic Disease Research Lab, School of Public Health and Administration, Universidad Peruana Cayetano Heredia, Lima, Peru., Castillo-Neyra R; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA, United States.; Zoonotic Disease Research Lab, School of Public Health and Administration, Universidad Peruana Cayetano Heredia, Lima, Peru. |
| Source: | Frontiers in public health [Front Public Health] 2024 Dec 24; Vol. 12, pp. 1440673. Date of Electronic Publication: 2024 Dec 24 (Print Publication: 2024). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Editorial Office Country of Publication: Switzerland NLM ID: 101616579 Publication Model: eCollection Cited Medium: Internet ISSN: 2296-2565 (Electronic) Linking ISSN: 22962565 NLM ISO Abbreviation: Front Public Health Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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