Research Article
Technical Solutions for Risk Assessment and Emergency Response of Sudden Major Zoonotic Disease Outbreaks: Based on Machine Learning
@INPROCEEDINGS{10.4108/eai.15-3-2024.2346517, author={Bo Qin and Han Diao and Yuncheng Jia and Haoming Xu}, title={Technical Solutions for Risk Assessment and Emergency Response of Sudden Major Zoonotic Disease Outbreaks: Based on Machine Learning}, proceedings={Proceedings of the 4th International Conference on Public Management and Intelligent Society, PMIS 2024, 15--17 March 2024, Changsha, China}, publisher={EAI}, proceedings_a={PMIS}, year={2024}, month={6}, keywords={zoonotic diseases; risk assessment; emergency response; machine learning; artificial intelligence}, doi={10.4108/eai.15-3-2024.2346517} }- Bo Qin
Han Diao
Yuncheng Jia
Haoming Xu
Year: 2024
Technical Solutions for Risk Assessment and Emergency Response of Sudden Major Zoonotic Disease Outbreaks: Based on Machine Learning
PMIS
EAI
DOI: 10.4108/eai.15-3-2024.2346517
Abstract
Recent data from the World Health Organization (WHO) underscores that approximately 75% of reported global diseases are zoonotic, posing dual threats to both livestock industries and human health. Establishing an epidemic risk prediction model is imperative, leveraging cutting-edge technologies such as blockchain, artificial intelligence, and big data. This paper aims to devise emergency response strategies for major public health crises, vital for fortifying government prevention capabilities. It outlines plans to develop an epidemic risk assessment model, align emergency responses with TOPSIS evaluations, and implement an OODA (Observe, Orient, Decide, Act) emergency response framework. Additionally, the study investigates enhancing epidemic emergency measures in China through the integration of contemporary internet knowledge. By bridging theory with practice and leveraging advanced technologies, this research contributes to the development of comprehensive strategies for combating zoonotic diseases and safeguarding public health on a global scale.
