研究人员开发AI系统,以提前两个月预测登革热爆发,协助准备工作。 Researchers develop AI system to predict dengue outbreaks two months ahead, aiding preparation.

印度热带气象研究所的研究人员建立了登革热预警系统,利用人工智能和机器学习提前两个月预测爆发。 Researchers at the Indian Institute of Tropical Meteorology have created a dengue early warning system that predicts outbreaks over two months in advance using AI and machine learning. 该系统确定了气温高于27摄氏度、降雨量适中、湿度在60%至78%之间增加登革热病例的条件,而暴雨则通过驱赶蚊虫幼虫来减少发病率。 The system identifies conditions like temperatures above 27°C, moderate rainfall, and humidity between 60% and 78% that increase dengue cases, while heavy rains reduce incidence by flushing out mosquito larvae. 这一工具旨在帮助地方当局做好准备并减轻登革热爆发的影响,从而有可能减少病例和死亡。 This tool aims to help local authorities prepare and mitigate the impact of dengue outbreaks, potentially reducing cases and deaths.