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首页> 外文期刊>Proceedings of the National Academy of Sciences, India >Mathematical Modeling: Zoonotic Strength of Infectivity on COVID-19
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Mathematical Modeling: Zoonotic Strength of Infectivity on COVID-19

机译:Mathematical Modeling: Zoonotic Strength of Infectivity on COVID-19

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摘要

Coronavirus 2019 (COVID-19) is an emerging contagious disease that has led to the global epidemic and is caused by severe acute respiratory syndrome, Coronavirus-2 (SARS-CoV-2). Zoonotic is an infection that is transmitted from animals to humans. Significantly changing animal infection is the best amplifying mask of pathogens. The power of animal infection is a contagious virus that usually spreads from vertebrate animals to humans and vice versa. The physical health of an animal depends on the normal vulnerability of its population and the change in actual animal health against infection over time, and is assessed based on previous circumstances in the population. After compiling the effect of virulence of the animal infection on the size of the susceptible, exposed and infected subjects, an investigation was made using MAPLE 18 with RK Fehlberg technique. This study discusses the stimulation of animal influences on the novel coronavirus infection that is reliable to be infectious. It analyzes all incoming and outgoing air passengers worldwide and in the country is keen on spreading the abnormally degenerate coronavirus. The zoonotic strength was applied to coronavirus infection and the rates of SEIR individuals terminated by secondary coronavirus infection were estimated. The transmission ability of coronavirus infection is associated with a lack of the perceived respiratory system in conservative people and global warming.

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