~/talk

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

Talkat rstudio::conf 2019 · 2019-01-15..01-18· [pwa]
links:none on file
slides:none on file

A Shiny app using lpSolve linear program allocates four vaccine types across thousands of sites, optimizing batch-by-batch allocation to maximize vaccinated people while minimizing wastage and honoring constraints like expiration, travel time, site cold storage and available staff. The prototype models a 30 day allocation window by default, shows per-site doses (examples: 722 Sinopharm, 916 Pfizer), lets users toggle mobile sites, and exports tabular distributions. Tool awaits country training and handoff but ministry engagement and iterative data collection are already in place.

AI-written summary · about

  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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