Session 1C: The Spread of Zika Virus using Mathematical Modeling and Epidemiology
Session Number
Session 1C: 3rd Presentation
Advisor(s)
Jordan Hasler, Illinois Mathematics and Science Academy
Location
Room A151
Start Date
28-4-2017 8:30 AM
End Date
28-4-2017 9:45 AM
Abstract
The Zika Virus has been affecting people of three different age groups in over 40 different nations. In 2016 the outbreak affected a very wide population and in July, 93 million people were a risk of infection of the virus in Latin America and South America. Mathematics can be used to model the spread of the Zika virus by utilizing a compartmental model, known as the SIRQT model. By using this model to track the spread of Zika, the population must be divided into a set of groups, Susceptibles, Infecteds, Recovered, Quarantine, and Treatment. In this model the compartments are also separated based on the different age groups that are affected by this virus. Since there is a limited amount of resources to conduct a quarantine available, by modeling the spread of the Zika virus we can better understand what proportion of each age group being put in quarantine is optimal to curb the disease’s spread. Also, by doing this we can learn what variables affect the spread of disease the most, and what measures can be taken to prevent an epidemic. The results can help gain a better understanding of the spread of the Zika virus.
Session 1C: The Spread of Zika Virus using Mathematical Modeling and Epidemiology
Room A151
The Zika Virus has been affecting people of three different age groups in over 40 different nations. In 2016 the outbreak affected a very wide population and in July, 93 million people were a risk of infection of the virus in Latin America and South America. Mathematics can be used to model the spread of the Zika virus by utilizing a compartmental model, known as the SIRQT model. By using this model to track the spread of Zika, the population must be divided into a set of groups, Susceptibles, Infecteds, Recovered, Quarantine, and Treatment. In this model the compartments are also separated based on the different age groups that are affected by this virus. Since there is a limited amount of resources to conduct a quarantine available, by modeling the spread of the Zika virus we can better understand what proportion of each age group being put in quarantine is optimal to curb the disease’s spread. Also, by doing this we can learn what variables affect the spread of disease the most, and what measures can be taken to prevent an epidemic. The results can help gain a better understanding of the spread of the Zika virus.