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Surveillance Study on Virus Infection

Jiayuan Liu, Chuwei Zhou, Xuan Fang, Zhe Zhang, Yuqi Bai

Abstract


According to the hidden characteristics of different attribute groups and viruses, the entropy weight method of MATLAB is used to determine the index weight and comprehensive score of different industries, and objectively evaluate through charts and model results, and design a reasonable monitoring scheme. Question 1: Through quantitative analysis, MATLAB simulation and entropy weight method to calculate the weight and comprehensive score, evaluate the transmission mode, different groups and virus concealment, and take a certain city as an example for modeling analysis, so as to determine the goal of finding virus carriers as soon as possible with the as small number of people tested as possible. Through scientifi c analysis and model calculation, improve the effect of epidemic monitoring and control, and fi nd the virus carriers as soon as possible.

Keywords


Virus carrier; Monitoring scheme; Entropy weight method

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References


[1] Mareni, R.W. et al. (2019). Huning virus pathogenesis and viral replication. Viruses 11 (4), 319.

[2] Parks, et al., (2020). Ebola-associated virus replication and ferret disease. Cell-host and microbial 27(2),324-334.e4.

[3] Morrens, D.M., Taubenberg, J.K. (2019). Influenza Cataclysm, 1918. New England Journal of Medicine 381 (19), 1857-1859.




DOI: http://dx.doi.org/10.18686/ahe.v7i19.9448

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