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.

中文翻译：

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整体健康监测框架：协同环境、动物和人类决定因素以加强传染病管理

最近的流行病，包括 COVID-19 的爆发，引发了人们对人畜共患疾病从动物传播到人类的日益担忧。这凸显了需要一种新方法来识别和解决不断升级的健康威胁。“同一个健康”范式已被开发为一种响应策略，通过早期预警来应对即将到来的疫情，强调人类、动物及其环境之间的相互联系。该系统采用了先进技术、全球协作和数据驱动决策等多种创新方法，提出了改善全球疾病应对的非凡解决方案。本综述探讨了影响疾病风险的环境、动物和人类因素，分析了使用 One Health 监测系统固有的挑战和优势，并展示了如何通过大数据和人工智能来增强这些系统的能力。本文提出的整体统一健康监测框架有可能彻底改变我们监测、了解和减轻传染病对全球人口影响的能力。