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Optimal allocation of limited test-and-treat resources in the Kinshasa periphery

How should a constrained test-and-treat budget be allocated across Kinshasa-periphery health zones to maximise averted morbidity?

Ministry · Ministère de la Santé (RDC) / PNLP

Difficulty
MSc
Timeline
9 months
Methods
3 listed
Budget ask
USD 2,000
discrete-event optimisation mixed-integer programming decision modelling

Why it matters

The Programme National de Lutte contre le Paludisme operates under tight budget constraints. The Kinshasa periphery is heterogeneous in transmission intensity, access, and existing supply — naive equal-allocation underperforms. A decision model with locally-relevant constraints would directly inform the 2026 operational plan.

The question

Given the 2026 test-and-treat operational budget and known transmission heterogeneity across Kinshasa-periphery zones de santé, what allocation minimises expected morbidity over a 12-month horizon?

Why now

Constrained budgets are the norm, not the exception. Tools that translate a budget envelope into an action plan are scarce in French-language operational settings. This dossier is also the platform’s Francophone test — the dossier publishes bilingually on v1.0.

Methods landscape (sketch)

A mixed-integer optimisation on a decision graph with transmission-intensity covariates from MAP, supply data from the PNLP, and access data from the Kinshasa health-zone maps. Stochastic constraint on actual delivery.

Full dossier with starter pack, data sources, supervisor and adviser publishes on v0.1. Working-modeller adviser ask out to MAP.