Research on the early warning and prevention system of infectious diseases based on large cruise ships

Jinwei Hao

doi:10.54097/hset.v56i.10700

Authors

Jinwei Hao

DOI:

https://doi.org/10.54097/hset.v56i.10700

Keywords:

epidemic; cruise ship; prevention and control; infectious disease early warning.

Abstract

In order to improve the ability of large cruise ships to deal with infectious disease epidemics and reduce the losses caused by outbreaks on cruise ships, this project has designed the design of infectious disease early warning and prevention and control systems for large luxury cruise ships. The system consists of a large cruise ship infected person identification and tracking system, an infectious disease prevention and isolation system, and an infectious disease treatment system. It can quickly identify and isolate suspected infected persons on large cruise ships, and at the same time, it can reduce the ability of the virus to spread in the air, effectively reduce the probability of outbreaks of infectious diseases on cruise ships, and ensure the health of boarding personnel.

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References

Big data analysis of "five emotions" for emergency prevention and control in the early stage of the new crown pneumonia epidemic [J]. Peng Zongchao, Huang Hao, Wu Hongtao, Xie Qihui. Governance Research. 2020(02).

Using hospital information system to improve the reporting and management of infectious diseases [J]. Zhang Xiang, Zhang Xiaoliang, Li Lin. Modern Preventive Medicine. 2019(19).

Analysis of the impact of long-term trends in infectious diseases on the setting of early warning thresholds of the national automatic early warning information system for infectious diseases [J]. Wang Ruiping, Mao Qi, Wu Yiling, Guo Xiaoqin, Jiang Yonggen, Zhao Genming. Modern Preventive Medicine. 2019(11).

Practice of infectious disease epidemic reporting and management information system based on direct push of hospital electronic medical records [J]. Kong Yuanyuan, Gao Guiling, Zhang Qinghui, Guo Xiaoqin. Disease Surveillance. 2019(06).

Overview of early warning methods and applications of infectious diseases [J]. Jiao Feng, Dong Pengyu, Liu Xiaoqiang, Xu Peng, Yang Guang, Liu Hong, Zhang Shuwei, He Guozhong. Chinese Journal of Social Medicine. 2018(04).

Using infectious disease monitoring information system to improve hospital infectious disease monitoring and management [J]. Chen Chaosheng. Chinese Community Physician. 2018(21).

Investigation and analysis of the application of infectious disease reporting management information system in hospitals above the second level in Wuhan [J]. Wang Peng, Peng Ying, Zhang Jing. Medical and Health Equipment. 2018(05).

Development and application of medical service management system based on "Military No. 1" system [J]. Sun Wenqiao, Shi Lei, Peng Ying, He Jian. China Medical Equipment. 2018(04).

Design and application of infectious disease management reporting system based on XML encoding and parsing technology [J]. Chang Chen, Wu Dongdong, Feng Linzhuo, Zhang Keqin. China Medical Equipment. 2016(12).

Research progress of infectious disease surveillance and early warning based on big data [J]. Zhu Binghua, Wang Ligui, Sun Yansong, Song Hongbin. China Public Health. 2016(09).

Artificial intelligence makes design more human [J]. David Charles Duff. Chinese Hospital Architecture and Equipment. 2020(02).

Analysis of policies related to medical artificial intelligence in my country's provincial administrative regions [J]. Hu Kehui, Chen Xiaoyun, Song Yangyang, Zhang Shuxin, Feng Li, Yan Yingxue. China Digital Medicine. 2019(03).

Problems and countermeasures in the development of medical artificial intelligence [J]. Dong Xingyu, Chen Min. Medicine and Society. 2019(05).