OpenMalaria - OpenMalaria Modelling Core Funding
Project Abstract
Significant progress in malaria control has been achieved through expanded vector control interventions, yet major challenges persist. Funding and coverage gaps, growing insecticide and drug resistance, declining intervention effectiveness, invasive mosquito species such as Anopheles stephensi, and climate variability all threaten progress. Changing epidemiological and immunological patterns further complicate control efforts, highlighting the need to deploy existing tools more strategically and develop new, more effective ones.
Mathematical and statistical modelling is essential for guiding these strategies, but current models often fail to capture the complexity of malaria transmission, resistance dynamics, and climatic influences. This research project aims to strengthen evidence-based decision-making and investment planning by advancing accurate, accessible, and policy-relevant models. The primary outcome is greater availability and use of robust modelling tools and expertise in endemic countries, supported by improved versions of the open-source platform OpenMalaria.
