Cloud Computing based Influenza Virus Prevention and Control for Bio-Medical Applications

Abstract

To improve the flexibility and efficiency of measurement of influenza virus prevention and control, and realize the combination of modern Internet technology and medical technology, in this article, the cases of influenza virus outbreaks in the past five years will be retrieved from various websites. A total of 5087 articles including clinical case analysis literature, individual infection case reports, review literature, Chinese and English literature, outbreak cases, and duplicate literature of non-human infection cases should be excluded Natural Development of Influenza Virus Infection in Individuals The results show that in the influenza virus epidemic database, the longest course of influenza virus infection is 10 days, the shortest is 2 days, the average course is 5.6 (5.6 ± 1.7) days, and the proportion of cases with the course of 5 days is the largest, and the proportion of cases with the course of 8 days is the smallest. In the international common mathematical modelling research, it is found that the latency of influenza viruses is 1-7 days, most of them are 2-4 days, the average latency is 1.9 days, and the course of the disease is 3-6 days. In this study, through the medical information sensor system based on cloud computing, the SEIAR model of the influenza virus outbreak database is built, and the average latency of all outbreaks is calculated. The average latency of the influenza virus is 2.0 days, which is very close to the international research data, and the difference between the two is only 0.1 days. Compared with non-interventional outbreaks, influenza virus control measures push the peak period from 145 days (no intervention) to 169 days (i.e. 24 days later). The infection rate of the influenza virus decreases from 74.75% untreated to 26.41%, that is to say, 48.34