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Abstract：
This article offers a thorough review of current early warning systems (EWS) and advocates for establishing a unified research network for EWS in infectious diseases between China and Australia. We propose that future research should focus on improving infectious disease surveillance by integrating data from both countries to enhance predictive models and intervention strategies. The article highlights the need for standardized data formats and terminologies, improved surveillance capabilities, and the development of robust spatiotemporal predictive models. It concludes by examining the potential benefits and challenges of this collaborative approach and its implications for global infectious disease surveillance. This is particularly relevant to the ongoing project, early warning systems for Infectious Diseases between China and Australia (NetEWAC), which aims to use seasonal influenza as a case study to analyze influenza trends, peak activities, and potential inter-hemispheric transmission patterns. The project seeks to integrate data from both hemispheres to improve outbreak predictions and develop a spatiotemporal predictive modeling system for seasonal influenza transmission based on socio-environmental factors.
摘要：
本文对当前的预警系统（EWS）进行了全面的回顾，并倡导在中国和澳大利亚之间建立统一的传染病EWS研究网络。我们建议，未来的研究应通过整合两国数据来加强预测模型和干预策略，从而改善传染病监测。这篇文章强调了对标准化数据格式和术语的需求，提高监控能力，以及稳健时空预测模型的发展。最后，它研究了这种合作方法的潜在好处和挑战及其对全球传染病监测的影响。这与正在进行的项目特别相关，中国和澳大利亚传染病预警系统(NetEWAC)旨在以季节性流感为例分析流感趋势，高峰活动,和潜在的半球间传播模式。该项目旨在整合来自两个半球的数据，以改善疫情预测，并基于社会环境因素开发季节性流感传播的时空预测建模系统。
