A community epidemic prevention and control system based on Vue

Authors

  • Bing Zhang Department of Electronic Engineering, Tianjin University of Technology and Education, Tianjin, China Author

DOI:

https://doi.org/10.63313/JCSFT.9006

Keywords:

Community management Epidemic prevention and control, Java, MySQL

Abstract

The community is the basic unit of society. Since the outbreak of the novel coronavirus pneumonia, the community, as the front line of epidemic prevention and control, has been the main battlefield for preventing the spread of the virus internally and the importation of cases externally, and holds a fundamental position in the overall situation of epidemic prevention and control. Whether residents can be mobilized and communities organized to hold this line of defense well is related to the overall situation of defeating the epidemic. This paper combines modern Internet technology and the actual needs of community personnel, and designs and develops a community epidemic prevention and control management system by using Java technology, Vue framework and MySQL database. Compared with the traditional community system, the community epidemic prevention system can effectively record the information of community residents, strictly control the entry and exit of the community, ensure the health of residents, and thus achieve the effect of epidemic prevention. By using the functions of this system such as resident information management, visitor information management, daily entry and exit registration, health check-in, return home reporting, visitor registration, announcement management and domestic epidemic data statistics, it can further promote the participation of community residents in community governance, form a community governance pattern of co-construction, co-governance and sharing, effectively reduce the burden on community workers, and strengthen community epidemic prevention and control.

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Published

2025-09-04

How to Cite

A community epidemic prevention and control system based on Vue. (2025). Journal of Computer Science and Frontier Technologies, 1(1), 63-79. https://doi.org/10.63313/JCSFT.9006