~/talk

One Size Doesn't Fit All: How data can support tailored approaches in public health

Talkat Data Con LA 2020 · 2020-10-23..10-25· [data-science]
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slides:none on file

Nexleaf deploys Bluetooth temperature sensors and a StoveTrace dashboard to log cooking events and compare self-reports with objective use; a Nigeria pilot of 50 households tests five stove types (two improved biomass, three clean-fuel), finds universal stove stacking, adoption measured by a 60-day rolling mean, and shows LPG use rises after a fuel subsidy but overall emissions sometimes stay high. The team builds stove scorecards, follows a stairway-to-scale (10 → 100 → 1,000 → 10,000) and shows distribution alone does not guarantee displacement or emission reductions.

AI-written summary · about

  1. 0:00Introduction
  2. 3:50Black carbon
  3. 7:00Clean cooking
  4. 9:25Qualitative vs quantitative data
  5. 11:22Taking action
  6. 12:29Stairway to scale
  7. 14:00Steps to scale
  8. 14:48Example Nigeria
  9. 16:59Adoption
  10. 18:08Stacking
  11. 19:01Expectations
  12. 19:42Survey
  13. 22:19Discussion
  14. 25:48Questions
  15. 27:09Conclusion
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