Malaria Vaccine Impact Scenarios and Coverage Levels for Benin, 2025-2034

A compartmental mathematical model estimates clinical and severe malaria cases averted in children under five with the RTS,S/AS01 vaccine in Benin. The model projects outcomes over a 10-year period under different vaccine coverage scenarios and net usage levels. The dataset was created by Sena V. Alohoutade and last updated on 2026-05-08.

Use Cases

• Modeling the projected impact of malaria vaccine introduction based on different coverage levels.
• Assessing the combined effect of vaccination and long-lasting insecticidal nets on malaria burden.
• Evaluating potential unintended consequences, such as reduced net usage, on malaria case projections.

Strengths

• Model projects a specific 40% reduction in clinical cases and deaths under a defined intervention scenario.
• Scenarios are based on a 10-year time horizon from 2025 to 2034.
• Explicitly models the interaction between vaccine coverage and net usage.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 5.5 KB, indicating limited scope.

Provenance

Source

figshare

Collection Method

Results from a compartmental mathematical model.

Time Range

Projections for 2025 to 2034.

Freshness

Last updated 2026-05-08 17:54:46; freshness should be verified.

Geography

Benin, sub-Saharan Africa.