Mathematical model and optimisation algorithm.
| Title: | Mathematical model and optimisation algorithm. |
|---|---|
| Authors: | Warren S. D. Tennant; Eric Cardinale; Youssouf Moutroifi; Simon E. F. Spencer; Onzade Charafouddine; Michael J. Tildesley; Raphaëlle Métras |
| Publication Year: | 2025 |
| Collection: | Erasmus University Rotterdam (EUR): Figshare |
| Subject Terms: | Biotechnology; Ecology; Immunology; Infectious Diseases; Biological Sciences not elsewhere classified; +spatio%22">xlink "> spatio; viral transmission rates; tagging animals post; rift valley fever; animal identification scenarios; animal identification approach; incorporates livestock vaccination; specific strategy effectiveness; animal movements; livestock across; allocation strategy; vaccination strategies; vaccination rate; temporal variations; raising challenges; proportional allocation; optimal allocation; inequitable outcomes; identifying populations; achieve optimal |
| Description: | A complete description of the demographical and infection processes in the mathematical model, the full system of model equations and a full description of the sequential Monte Carlo scheme employed to determine the globally optimal and equity-focused allocations of vaccines under a range of control scenarios. (PDF) |
| Document Type: | article in journal/newspaper |
| Language: | unknown |
| Relation: | https://figshare.com/articles/journal_contribution/Mathematical_model_and_optimisation_algorithm_/29660379 |
| DOI: | 10.1371/journal.pntd.0013346.s001 |
| Availability: | https://doi.org/10.1371/journal.pntd.0013346.s001; https://figshare.com/articles/journal_contribution/Mathematical_model_and_optimisation_algorithm_/29660379 |
| Rights: | CC BY 4.0 |
| Accession Number: | edsbas.47B18E2 |
| Database: | BASE |