Author(s)

Xiaokai Wang

Corresponding Author

Xiaokai Wang

ABSTRACT

The outbreak of COVID-19 was rapid. Most regions had taken measures to avoid the infection and decreased the mortality by producing necessary medical resources. Epidemiological model was a new sort of mathematic model that was invented to predict the disease spreading situation in last century. There were only two categories of population and a few considerations. As the time goes, more details were added to make these models more real. It could be used to predict COVID-19 virtually. SI (susceptible-infected) models, SIR (susceptible-infected-recovered) models and SEIR (susceptible-exposed-infectious-recovered) models are the main types of these models. This paper will analyze how these measures contribute to blocking the pandemic by mathematical models. Based on the analysis of these counter measurements, different models could be made due to the parameters in the model formula varies. This paper would focus on the time and the population of the peak of outbreak (the point with the most infected in the whole model) to reflect the change to the pandemic of a counter measurement. Any model that is included in a comparison all follows the single variable rule. Therefore, the effectiveness of counter measurements could be shown clearly.

KEYWORDS

Epidemiological Models, SEIR Model, Counter Measurements, Peak of outbreak