TY - JOUR
T1 - Developing a Research Network of Early Warning Systems for Infectious Diseases Transmission Between China and Australia
AU - Lu, Cynthia
AU - Wang, Liping
AU - Barr, Ian
AU - Lambert, Stephen
AU - Mengersen, Kerrie
AU - Yang, Weizhong
AU - Li, Zhongjie
AU - Si, Xiaohan
AU - McClymont, Hannah
AU - Haque, Shovanur
AU - Gan, Ting
AU - Vardoulakis, Sotiris
AU - Bambrick, Hilary
AU - Hu, Wenbiao
N1 - Publisher Copyright:
© 2024, Chinese Center for Disease Control and Prevention. All rights reserved.
PY - 2024/7/26
Y1 - 2024/7/26
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85201594505&partnerID=8YFLogxK
U2 - 10.46234/ccdcw2024.166
DO - 10.46234/ccdcw2024.166
M3 - Review article
C2 - 39114314
SN - 2096-7071
VL - 6
SP - 740
EP - 753
JO - China CDC weekly
JF - China CDC weekly
IS - 30
ER -