BETTER ROUTES. FAIRER ACCESS.
See the plan.
Understand the trade-off.
Inspect the inputs. Change vaccine requirements.
See what V2.7 plans—and which obligations remain unmet.
Original tasks, evidence boundaries and remaining gaps stay visible.
01 / CHOOSE YOUR SETTING
One case. A different set of conditions.
Original reference cohorts and saved outputs are preserved.
CUSTOM DEMAND / SAME CONFIGURED RESOURCES
What needs to reach each service site?
Enter doses, with an explicit near/remote split. Stock, staff, transport, carriers and budget stay fixed. Demo products keep their own configured packaging and handling assumptions.
| Service site | Configured product | Required doses | Near doses | Remote doses | Service window |
|---|
The selected profile uses one anonymous simulated household per obligation. Generated identities, grouping and household records are simulated. Doses alone do not identify real children or household visits. No clinical eligibility or due dates are inferred from population data.
Requires computation — no result for these inputs yet.
Local calculation & import workflow
The original Python V2.7 engine runs in a separate browser worker. It computes this demand’s normal reference, selected condition, cancellation-only comparator and supplied audits. Computation stays on this device; there is no hosted compute service. Each plan has an 8-second search limit; a feasible plan can be search-limited.
Use a current desktop browser with WebAssembly and module-worker support. Export the request as a reproducibility record. Imports are fingerprint-checked and re-audited using the supplied components. A 120-second worker timeout makes no infeasibility claim.
Inspect data sources and assumptions ↓BEFORE THE RESULT
Inputs for this plan
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Planned service
Precomputed simulation · Synthetic dataLatest delivery arrival is elapsed time from each route’s departure to a session’s arrival, including earlier route activities. It is separate from household travel and the full protection clock.
THE DELIVERY NETWORK
A route to planned service.
A DAY IN THE PLAN
From preparation to return.
02 / COMPARE WITHIN THE SAME COHORT
Conditions and policies tell different stories.
ACTUAL DECISION DIFFERENCES
What the algorithm changed
03 / LOOK A LITTLE CLOSER
The details behind this plan.
Village quantities & resource allocation Doses, vials, staff and equipment ↗
Household access & retained gaps Original tasks stay in the denominator ↗
Method & evidence Assumptions, search scope and source files ↗
Matching inputs, computed outputs and saved views are included.
04 / SOURCES, ESTIMATES & UNCERTAINTY
Every input has an evidence boundary.
Published external evidence, conditional proxy estimates, scenario assumptions and unresolved local inputs are kept separate. Illustrative calculation remains useful while the formal operational gate is blocked.