JMR_2024v14n1

Journal of Mosquito Research 2024, Vol.14, No.1, 26-33 http://emtoscipublisher.com/index.php/jmr 32 release is discussed in detail, including advanced methods for simulating the effects of release and strategy optimization using ecological models. These methods are expected to improve the effectiveness and sustainability of gene-driven release strategies and make them better adapted to different ecological environments. While exploring gene-driven release technologies in depth, there are some suggestions and directions that can guide future research: continue to strengthen research on the ecology and population dynamics of mosquitoes in order to improve the accuracy of ecological models. A more comprehensive and in-depth understanding of the behavior and life cycle of mosquitoes under different environmental conditions will help to establish more realistic and reliable ecological models to better optimize the gene-driven release strategy. Provide insight into the impact of gene drive releases on genetic diversity and explore new ways to maintain genetic diversity. Understanding the changes in gene frequencies induced by gene drive technology in mosquito populations and how mechanisms can be introduced into strategies to conserve genetic diversity will provide deeper insights into the feasibility and safety of the technology. Strengthen research on ethical and environmental risk assessment to establish more comprehensive and specific ethical guidelines and management measures. Social acceptance and environmental risk assessment are important factors in the successful diffusion of gene drive release technologies, and more research is needed to address public concerns and ensure the safe application of the technologies. Overall, gene-driven release strategies based on ecological modeling have potential advantages in mosquito control, but also face many challenges (Dong et al., 2019). 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