A Big Data Predictive Decision System for COVID-19 Epidemic in Hong Kong

Project: Research

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Description

This project aims to develop a prototype of an advanced big data-based predictive decision system for the monitoring and control of COVID-19 epidemic in Hong Kong. The team aims to develop extensive functional modules, including the data collection module, machine learning-based prediction models for Hong Kong and other regions, and the construction of a detailed simulation model of the human movement and public transportation in Hong Kong. The proposed system consists of three major components:1. An interactive and comprehensive visualization-based disease monitoring platform;2. A hybrid machine learning-based prediction module that predicts the counts of COVID-19 infected cases, severe cases, and death cases;3. An interactive decision-making platform for the simulation of various epidemic and control scenarios, and the optimization of control measures based on the reinforcement learning output. Specifically, the machine-learning-based prediction models have provided important insights into the transmissibility of COVID-19 in the re-opening stage.

Detail(s)

Project number7020021
Grant typeSIRG
StatusNot started
Effective start/end date1/07/21 → …