大流行
传染病(医学专业)
爆发
疾病
疾病监测
全球卫生
一个健康
2019年冠状病毒病(COVID-19)
风险分析(工程)
环境卫生
业务
大数据
预警系统
医学
公共卫生
环境资源管理
环境规划
计算机科学
地理
环境科学
病毒学
病理
电信
护理部
操作系统
作者
Samradhi Singh,Poonam Sharma,Namrata Pal,Devojit Kumar Sarma,Rajnarayan Tiwari,Manoj Kumar
标识
DOI:10.1021/acsinfecdis.3c00625
摘要
Recent pandemics, including the COVID-19 outbreak, have brought up growing concerns about transmission of zoonotic diseases from animals to humans. This highlights the requirement for a novel approach to discern and address the escalating health threats. The One Health paradigm has been developed as a responsive strategy to confront forthcoming outbreaks through early warning, highlighting the interconnectedness of humans, animals, and their environment. The system employs several innovative methods such as the use of advanced technology, global collaboration, and data-driven decision-making to come up with an extraordinary solution for improving worldwide disease responses. This Review deliberates environmental, animal, and human factors that influence disease risk, analyzes the challenges and advantages inherent in using the One Health surveillance system, and demonstrates how these can be empowered by Big Data and Artificial Intelligence. The Holistic One Health Surveillance Framework presented herein holds the potential to revolutionize our capacity to monitor, understand, and mitigate the impact of infectious diseases on global populations.
科研通智能强力驱动
Strongly Powered by AbleSci AI