Héctor M. Sánchez C.

This paper develops behavioral state microsimulation models to study mosquito dispersal, showing that population structure arises from resource availability and behavioral states.

The paper uses genomic data and simulation modeling to show that Aedes aegypti populations in southern Australia can be eliminated with Wolbachia-infected male releases if rainwater tanks are removed first.

MGSurvE optimizes trap placement for genetic surveillance of mosquito populations to minimize time to detect alleles of interest, considering ecological and biological factors.

This paper evaluates the cost-effectiveness of precision-guided sterile insect technique (pgSIT) for malaria control in The Gambia, finding it to be a cost-effective and economically beneficial approach.

MGDrivE 2 simulates gene drive systems with seasonal and epidemiological dynamics to predict their impact on disease transmission.

This paper develops a CRISPR-based sterile insect technique to eliminate Aedes aegypti mosquitoes in controlled environments.

The paper introduces a split-gene-drive system that enhances safety and flexibility in CRISPR-based gene drive applications through trans-complementation.

MGDrivE simulates gene drive spread in mosquito populations, showing how different architectures affect population replacement and suppression.

This paper describes a CRISPR-based method called precision guided SIT (pgSIT) that produces 100% sterile male insects, enhancing the scalability and effectiveness of insect population control.