Multivariate accurate management and control system for infectious epidemic situations

Abstract

The invention discloses a multivariate accurate management and control system for infectious epidemic situations. The multivariate accurate management and control system comprises a user client and adata analysis management and control terminal, wherein a user installs real-time locating information acquisition software; and the data analysis management and control terminal at least comprises a storage database module, a data analysis software module, a data interaction software module and an instruction sending confirmation module. The data analysis software module performs processing and calculation to capture key features and / or data intersection, so epidemic situation management and control data is obtained and guides epidemic prevention management ministries and commissions, cooperation department groups and mobile phone users to effectively prevent and treat infectious epidemic situations. According to the system, the least and the most fundamental data is collected, secrets behind the data are analyzed and deeply interpreted, infection tracing, epidemic outbreak prevention and early warning of spreading can be accurately carried out, epidemic prevention management and control personnel and epidemic prevention management and control resource materials are optimally distributed, accurate management and control are realized, and the loss of national economy, individuals and groups are reduced to a great extent.

Description

technical field [0001] The invention relates to the field of public safety in the prevention and control of infectious diseases, in particular to a multiple and precise management and control system for infectious diseases. Background technique [0002] Management and control methods should keep pace with the times. Big data processing and artificial intelligence technologies lack the spirit of in-depth invention and creation. They do not fully understand and understand the various transmission mechanisms of infectious diseases. The rough smart city trajectory map intersection technology is only suitable for individuals Carrying out low-dimensional linear intersection analysis to capture intersection points is not suitable for multi-level and multi-dimensional analysis, and because it cannot be combined with the trigger mechanism of virus and germ infection, the acquired intersection data is seriously distorted, and a large number of intersections will be missed through traje...

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Problems solved by technology

[0002] Management and control methods should keep pace with the times. Big data processing and artificial intelligence technologies lack the spirit of in-depth invention and creation. They do not fully understand and understand the various transmission mechanisms of infectious diseases. The rough smart city trajectory map intersection technology is only suitable for individuals Carrying out low-dimensional linear intersection analysis to capture intersection points is not suitable for multi-level and multi-dimensional analysis, and because it cannot be combined with the trigger mechanism of virus and germ infection, the acquired intersection data is seriously distorted, and a large number of intersections will be missed through trajectory time intersecting It is impossible to fully control the dynamics and development trends of the epidemic situation, and it cannot be used as the basis for decision-making by the disease control department, nor can it accurately and effectively allocate various epidemic prevention control personnel and epidemic prevention and disaster relief materials.

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