Optimising the deployment of vector control tools against malaria: a data-informed modelling study.

Area of Science:

• Vector-borne disease control
• Malaria epidemiology
• Public health interventions

Background:

• Insecticide resistance in mosquitoes threatens malaria control efforts.
• New insecticide-treated nets (ITNs) and indoor residual spraying (IRS) are being developed.
• Optimal malaria prevention strategies require comparison of public health impact and cost-effectiveness.

Purpose of the Study:

• To develop a framework for comparing the public health impact and cost-effectiveness of malaria prevention measures.
• To evaluate the entomological effectiveness of pyrethroid-only ITNs versus pyrethroid-PBO ITNs.
• To create an online tool (Malaria INtervention Tool [MINT]) for optimizing vector control packages.

Main Methods:

• Utilized published data from African experimental hut trials to assess ITN efficacy.
• Developed and validated a dynamic mathematical model of Plasmodium falciparum malaria using data from randomized control trials (RCTs).
• Extrapolated model simulations to sub-Saharan African scenarios and incorporated them into the MINT tool.

Main Results:

• Switching to pyrethroid-PBO ITNs could avert up to twice as many malaria cases, with benefits varying by setting.
• Annual long-lasting, non-pyrethroid IRS is projected to prevent substantially more cases over three years.
• Pyrethroid-PBO ITNs generally represent the most cost-effective intervention per case averted.

Conclusions:

• The most cost-effective vector control strategy is locally dependent.
• Mathematical models that accurately predict RCT outcomes can guide evidence-based investment in vector control.
• The MINT tool aids in designing malaria intervention packages tailored to specific regional needs and budgets.