A simulation-based deep learning framework for spatially explicit malaria modeling of CRISPR suppression gene drive mosquitoes
Abstract
mosquito suppression and human malaria prevalence. Results suggest that reducing embryo resistance, reducing functional resistance, and increasing drive conversion efficiency can contribute to mosquito and malaria suppression. We also observed that the parameter space for eliminating malaria was substantially larger than that for mosquito elimination, suggesting that an imperfect drive may still accomplish its objective despite chasing or functional resistance. Thus, this study shows that suppression gene drives may be highly effective at locally eliminating malaria, even in challenging conditions.
Fields of Study & Subjects
CRISPR and Genetic Engineering
Neurobiology and Insect Physiology Research
Evolutionary Algorithms and Applications
Publication details
- Journal / source
- iScience
- Publisher
- Elsevier BV
- Volume
- 29
- Issue
- 4
- Pages
- 115221–115221
- Publication date
- 4 March 2026
- Language
- EN