Last Updated: 18/05/2026
Individual-Based Modeling of Antimalarial Resistance & Control
Objectives
To use mathematical modelling approaches to understand the emergence of antimalarial drug resistance, including in the context of multiple first-line therapies.
Principal Institution
Principal Investigators / Focal Persons
Project Outputs
- Article: Assessing emergence risk of double-resistant and triple-resistant genotypes of Plasmodium falciparum
- Article: Breaking the cycle of malaria treatment failure
- Article: Effects of recombination on multi-drug resistance evolution in Plasmodium falciparum malaria
- Article: Global risk of selection and spread of Plasmodium falciparum histidine-rich protein 2 and 3 gene deletions
- Article: Long-term effects of increased adoption of artemisinin combination therapies in Burkina Faso
- Article: National-scale simulation of human movement in a spatially coupled individual-based model of malaria in Burkina Faso
- Article: Pre-existing partner-drug resistance facilitates the emergence and spread of artemisinin resistance: a consensus modelling study
- Article: Role of seasonal importation and genetic drift on selection for drug-resistant genotypes of Plasmodium falciparum in high-transmission settings
- Article: Slowing the spread of treatment failure to artemisinin-based combination therapies in Uganda
External reference
Date
Apr 2020 — Sep 2023
Total Project Funding
$750,000
Funding Details
Gates Foundation (GF), United States
Grant ID: INV-005517
Country / Project Site(s)
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