Neil Philip Hobbs

This study develops a simulation framework to evaluate anthelmintic resistance management strategies in ruminants by integrating epidemiological and evolutionary dynamics.

This paper models how combining next-generation LLINs with IRS micro-mosaics affects resistance trait emergence and spread in malaria vectors.

This paper develops a metapopulation model for cattle gastrointestinal nematodes to evaluate biosecurity measures and their impact on anthelmintic resistance.

This study models how insecticide decay affects resistance evolution in monotherapies and mixtures, showing decayed insecticides can increase selection pressure and reduce the effectiveness of mixtures.

This study models the effectiveness of combining insecticide-treated nets and indoor residual spraying for managing insecticide resistance in malaria control.

This paper evaluates deliberate and accidental micro-mosaics of insecticide deployments for resistance management, finding they are not beneficial compared to rotations or mixtures.

This study evaluates the effectiveness of insecticide mixtures for resistance management using a mathematical model of polygenic resistance, finding that full-dose mixtures are most effective.

This paper introduces dynamic mathematical models for polygenic insecticide resistance, showing full-dose mixtures remain the best strategy while sequences and rotations are similarly effective.