Abstract:
Objective To meet the needs of epidemic risk assessment and prevention and control, address the difficulties in global COVID-19 pandemic data collection, classification, analysis and application, a global epidemic data analysis and risk assessment platform was developed.
Methods From the aspects of public health need, architecture design, and function construction, the design and application of the lobal pidemic data analysis and risk assessment platform were expounded. The effects of the platform were analyzed.
Results By making full use of advanced technologies and methods, such as big data, cloud computing, artificial intelligence, machine learning, model algorithms and geographic information systems, an integrated browsing platform was established for the standardization, visualization, correlation and modeling purpose of epidemic information.
Conclusion The platform fills the gap in the systematization of global epidemic surveillance in China, provides technical support for the routine surveillance of global COVID-19 pandemic, and provides data for scientific research and evidence-based decision-making.
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