Project · Intermediate
Vaccination coverage and dropout analysis
A district-level analysis separating genuinely low immunisation coverage from low reporting completeness, so supervision visits target the right facilities.
PythonRDHIS2UNICEF indicator definitionsSustainable Development Goals (SDG)
Context
- Organisation
- District health office, 38 reporting facilities
- Problem
- Monthly coverage dashboards ranked facilities by reported coverage without adjusting for whether the facility reported at all, so supervision visits kept going to facilities whose only real problem was a late report.
- Audience
- District EPI supervisor
- Decision it informs
- Which ten facilities receive a supervision visit next quarter.
Datasets used
Deliverables
- Analysis notebookDownload ·
notebooks/coverage-analysis.python.ipynb - DashboardDownload ·
dashboard/index.html - Technical documentationDownload ·
docs/methodology.md - Final reportDownload ·
reports/quarterly-review.pdf - Presentation slidesPlanned. Described here; the file is not written yet.
A project is done when all five exist. Those still planned are named rather than linked, so the page never points at a file that is not there.
Separating two different failures
A facility reporting 40% coverage and a facility reporting nothing look similar on a league table and need completely different responses.