Branda Francesco, Cella Eleonora, Scarpa Fabio, Slavov Svetoslav Nanev, Bevivino Annamaria, Moretti Riccardo, Degafu Abate Lemlem, Pecchia Leandro, Rizzo Alberto, Defilippo Francesco, Moreno Ana, Ceccarelli Giancarlo, Alcantara Luiz Carlos Junior, Ferreira Alvaro, Ciccozzi Massimo, Giovanetti Marta
Unit of Medical Statistics and Molecular Epidemiology, University of Campus Bio-Medico di Roma, 00128 Rome, Italy.
Burnett School of Biomedical Sciences, College of Medicine, University of Central Florida, Orlando, FL 32827, USA.
Viruses. 2024 Nov 30;16(12):1868. doi: 10.3390/v16121868.
Wolbachia-based mosquito control strategies have gained significant attention as a sustainable approach to reduce the transmission of vector-borne diseases such as dengue, Zika, and chikungunya. These endosymbiotic bacteria can limit the ability of mosquitoes to transmit pathogens, offering a promising alternative to traditional chemical-based interventions. With the growing impact of climate change on mosquito population dynamics and disease transmission, Wolbachia interventions represent an adaptable and resilient strategy for mitigating the public health burden of vector-borne diseases. Changes in temperature, humidity, and rainfall patterns can alter mosquito breeding habitats and extend the geographical range of disease vectors, increasing the urgency for effective control measures. This review highlights innovations in Wolbachia-based mosquito control and explores future directions in the context of climate change. It emphasizes the integration of Wolbachia with other biological approaches and the need for multidisciplinary efforts to address climate-amplified disease risks. As ecosystems shift, Wolbachia interventions could be crucial in reducing mosquito-borne diseases, especially in vulnerable regions. AI integration in Wolbachia research presents opportunities to enhance mosquito control strategies by modeling ecological data, predicting mosquito dynamics, and optimizing intervention outcomes. Key areas include refining release strategies, real-time monitoring, and scaling interventions. Future opportunities lie in advancing AI-driven approaches for integrating Wolbachia with other vector control measures, promoting adaptive, data-driven responses to climate-amplified disease transmission.
基于沃尔巴克氏体的蚊虫控制策略作为一种可持续的方法，用以减少登革热、寨卡病毒病和基孔肯雅热等媒介传播疾病的传播，已受到广泛关注。这些内共生细菌能够限制蚊子传播病原体的能力，为传统的化学干预措施提供了一种有前景的替代方案。随着气候变化对蚊虫种群动态和疾病传播的影响日益增大，基于沃尔巴克氏体的干预措施是减轻媒介传播疾病公共卫生负担的一种适应性强且具有韧性的策略。温度、湿度和降雨模式的变化会改变蚊子的繁殖栖息地，扩大病媒的地理范围，这使得采取有效控制措施的紧迫性增加。本综述重点介绍了基于沃尔巴克氏体的蚊虫控制方面的创新，并探讨了在气候变化背景下的未来发展方向。它强调了将沃尔巴克氏体与其他生物学方法相结合，以及需要多学科努力来应对气候加剧的疾病风险。随着生态系统的变化，基于沃尔巴克氏体的干预措施对于减少蚊媒疾病可能至关重要，尤其是在脆弱地区。在沃尔巴克氏体研究中整合人工智能，通过对生态数据进行建模、预测蚊虫动态以及优化干预效果，为加强蚊虫控制策略提供了机会。关键领域包括完善释放策略、实时监测和扩大干预规模。未来的机遇在于推进人工智能驱动的方法，将沃尔巴克氏体与其他病媒控制措施相结合，促进对气候加剧的疾病传播做出适应性的、数据驱动的应对。
