M. J. Donnelly

This paper develops an adaptive spatial sampling design for malaria vector surveillance in Anopheles gambiae s.l., improving prediction accuracy while reducing sample size in high-risk areas.

This study compares the durability and bioefficacy of PBO-treated and pyrethroid-only LLINs in Uganda, finding that PBO content declines over time, reducing bioefficacy against resistant mosquitoes.

The paper develops a gene expression panel to estimate age in tsetse flies, achieving accurate predictions with minimal gene markers.

The paper identifies a triple mutant in Anopheles gambiae associated with pyrethroid resistance and proposes it as a diagnostic for guiding anti-malarial intervention strategies.

The paper assesses the impact of vector control on tsetse fly population genetics, finding a significant genetic bottleneck associated with control efforts.

The paper examines the evolution of insecticide resistance in Anopheles mosquitoes, showing how Rdl mutations spread through selective sweeps and introgression across species and karyotypes.

The paper provides 3D printable replacement parts for the WHO insecticide susceptibility bioassay system to address supply chain issues and enable rapid production.

The paper develops a 28-marker genotyping panel to track insecticide resistance in Anopheles gambiae, identifying four resistance-associated mutations and geographic diversity in kdr resistance.

The paper provides analysis-ready, geospatial datasets on insecticide resistance in African malaria vectors to quantify resistance trends and assess their impact on malaria transmission.

The paper proposes a framework for ecological sampling design using open data to improve malaria mosquito surveillance by balancing prediction accuracy and sample efficiency.

The paper uses whole-genome sequencing to identify copy number variations (CNVs) in Anopheles gambiae linked to insecticide resistance, finding CNVs enriched for resistance-related genes and under positive selection.