Malaria intervention modelling
MINTverse
Documentation and guidance for using the malariasimulation machine learning emulator for prevalence and incidence analysis.
estiMINT
Estimates the entomological inoculation rate (EIR) and the human biting rate (HBR) from a measured prevalence and the setting it was measured in. Both are single equilibrium values, not trajectories.
stateMINT
Emulates the individual-based model, returning under-5 prevalence and clinical cases over the three years before a campaign and the three years after, in milliseconds per scenario.
New to Python?
Readers coming from R, and meeting Python for the first time, should start with Python for Malaria Modellers, which covers the interpreter, the environment, and the notebook from scratch.
Install
pip install "estimint[scenarios]"
Contents
Cite MINTverse
@software{santoni2026mintverse,
author = {Santoni, Cosmo and Thapar, Anmol},
title = {MINTverse: estiMINT and stateMINT for malaria intervention modelling},
year = {2026},
url = {https://github.com/CosmoNaught/MINTverse}
}