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Details
Title
A S.E.I.R. Mathematical Model of SARS-CoV-2
Author
Description
Coronaviruses are named for the crown-like spikes on their surface. Human coronaviruses were first identified in the mid-1960s. The well-known coronaviruses that can infect people are: MERS-CoV (Middle East Respiratory Syndrome, or MERS), SARS-CoV (severe acute respiratory syndrome, or SARS), and the topic of this paper SARS-CoV-2 (the novel coronavirus that causes coronavirus disease 2019, or COVID-19). COVID-19 is the disease caused by the new coronavirus that emerged in China in December 2019. The most common symptoms of COVID-19 include cough, fever or chills, shortness of breath or difficulty breathing, muscle or body aches, sore throat, the new loss of taste or smell, diarrhea, headache, new fatigue, nausea or vomiting, and congestion or runny nose. A compartmental model was developed to describe the interactions among at-risk individuals, infected individuals, and those who are in treatment or recovered. Because of the demographics of the groups affected by this epidemic, the model also considered social factor that might alleviate the spread of the disease. The basic reproduction number was determined and revealed the condition for the stability of the Conoravirus free equilibrium. Stability analysis and numerical simulations were carried out to study the impact of the social factors to the epidemic.
Date
2021-05-10
Department/Academic Units
Department of Mathematics, Computer Science, and Engineering Technology
Author Status
Student
Content Type
Text
Resource Type
Journal Articles
Language
English
Dissertation/ Thesis Note
Dissertation
Degree Type
Master's
Usage Statement
CC BY-NC-ND