Optimal allocation of COVID-19 Vaccines in West Africa | A Shiny success story

on YouTube ↗19m

" summary

An interactive Shiny app uses lpSolve linear programming and WorldPop-derived catchment and travel-time inputs to allocate specific vaccine batches across Côte d’Ivoire’s distribution network. Constraints include batch expiration ordering, per-site cold storage, available vaccinators, eligible population and time-to-vaccinate; objective function minimizes wastage while maximizing vaccinations. App shows per-site dose assignments by vaccine type, lets users toggle mobile sites, export tables, and runs on national/regional/district maps; rollout includes hands-on training before handover.

AI-written summary · about

" chapters (9)

1. 0:00Introduction
2. 1:14Vaccine allocation problem
3. 3:03Data challenges
4. 6:41Building the allocation tool
5. 7:46Why Shiny
6. 8:51Shiny app features
7. 11:39Allocation model
8. 15:11Next steps
9. 17:00Overcoming hesitancy

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