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GTCOM's "AI Emergency Management of Virus Transmission Prevention and Control" System Assists in Science-based Epidemic Prevention

NewsSource:GTCOMDate: 25 March 2020views:43


A press conference for the Joint Prevention and Control Mechanism of the State Council mentioned on March 23 that the National Development and Reform Commission would continue to deepen the "Internet Plus" action plan, including the fifth-generation mobile communications system (5G), data center, industrial internet and other types of new infrastructure construction, and promote the integrated innovation and application of big data, cloud computing, AI, the Internet of Things and other technologies.


Global Tone Communication Technology Co., Ltd. (referred to as GTCOM) has actively responded to the national call for the construction of new infrastructure, established the Emergency Management Data Center, and created the "AI Emergency Management of Virus Transmission Prevention and Control" system, in a bid to promote the application of big data and AI in public-health emergency management and assist in the science-based prevention and control of the epidemic and the construction of a smart city. The system is applicable to governments, enterprises, schools and research institutes, particularly for the simulation and deduction of virus transmission, simulated emergency management, risk prediction, medical resource deduction, and other forward-looking simulations and assessments.


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AI analysis of virus transmission


The platform gathers the professional knowledge of disease-control experts, epidemiologists and mathematical scientists and uses the machine learning technology to create an AI digital twin system of virus transmission on the basis of epidemiological virus transmission. Thanks to real-time and open public-health data, the system can present a real-time analog simulation of the entire process, which ranges from virus transmission to hospital response and government emergency management.


The system uses big-data technology to achieve "all purposes on a single network platform" for public health situation management. With this platform the user can freely analyze and acquire information on the presence of disease in a given population, traffic flow, enterprise distribution and resumption of work, medical resource allocation and medical resources in cities, jurisdictions and other regions.


The Public-Health Emergency Management System is based on the use of AI and GIS technologies, being designed to help the government analyze data and make timely decisions with respect to virus transmission and spreading, population movement, population distribution, enterprise distribution and other factors so as to implement effective steps for monitoring and control. Moreover, in the event of an emergency, the platform can be used to conduct grid command, enact timely evacuation, set up checkpoints, and ensure the safety and stability of affected areas.


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Simulation of virus transmission and outbreak


The platform is used to monitor hospitals and medical supply inventories in the city and related jurisdictions, including the number of hospitals, medical workers, beds, drugs, patients and patients under treatment, whereby it helps regulate the distribution of resources and ensure stable supplies of medicine and equipment. Additionally, the platform can calculate the number of hospital visitors and the use of medical supplies for some time to come according to the urban public-health data and inform the relevant departments in advance to make rational distribution and scheduling of medical supplies.

The economic algorithm model of the platform allows enterprises within the urban area and jurisdictions to effectively calculate the overall operating situation and economic risks of the enterprises that have resumed work or the jurisdictions, doing so for some time in the future. Thus, the enterprises can adjust their business direction and the government can effectively grasp the information on enterprise operations in the area so as to implement macro-control.


Enterprises of the urban district and related jurisdictions can effectively monitor the population mobility and instant health information of enterprises that have resumed work, thereby achieving reliable understanding and timely management.

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