Developing a Research Network of Early Warning Systems for Infectious Diseases Transmission Between China and Australia

Cynthia Lu, Liping Wang, Ian Barr, Stephen Lambert, Kerrie Mengersen, Weizhong Yang, Zhongjie Li, Xiaohan Si, Hannah McClymont, Shovanur Haque, Ting Gan, Sotiris Vardoulakis, Hilary Bambrick, Wenbiao Hu

Research output: Contribution to journalReview articlepeer-review

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.

Original languageEnglish
Pages (from-to)740-753
Number of pages14
JournalChina CDC weekly
Volume6
Issue number30
DOIs
Publication statusPublished - 26 Jul 2024

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