机器学习在蚊虫及蚊媒传染病研究中的应用进展

Application progress of machine learning in mosquito and mosquito-borne disease research

该文主要介绍机器学习在全球蚊虫及蚊媒传染病研究中的应用进展,系统搜索国内外数据库进行文献调研,简单回顾了机器学习的主要方法,对机器学习在蚊虫及蚊媒传染病研究中的几大应用进行了系统总结,主要聚集在蚊虫和蚊媒传染病预测预警、蚊虫图像和声音识别、蚊虫生物学等研究领域,为国内蚊虫及蚊媒传染病防制研究提供新的视角。

This article mainly introduced the application progress of machine learning in global mosquito and mosquitoborne disease research,systematically searched domestic and foreign databases for literature research,briefly reviewed the main methods of machine learning,and systematically summarized several major applications of machine learning in mosquito and mosquito-borne disease research.It is mainly concentrated in the research fields of mosquito and mosquitoborne disease prediction and early warning,mosquito image and sound recognition,and mosquito biology,providing a new perspective for domestic mosquito and mosquito-borne disease prevention and control.