Stochastic Modeling of the Spatial Transmissions of Viruses and Defective Interfering Particles
- Wing Cheong LO (Principal Investigator / Project Coordinator)Department of Mathematics
- Louis Wai Tong FAN (Co-Investigator)
DescriptionThe study of viruses' transmission is essential for understanding many diseases such as COVID-19, Ebola, AIDS, and SARS. Occasional mutations in the viral genomes may cause a major challenge in drug development. However, some mutations may help us create a new type of treatment by developing defective interfering particles (DIPs), which lack some viral genes essential for replication. In this project, we propose to build a mathematical model to study the virus spreading speed and a corresponding computational model with stochastic effects to study the spatial pattern generated by the interaction of viruses and DIPs. By comparing the simulations obtained from the model with different scenarios, we can understand the mechanisms for DIPs' effect. Our project aims to provide insight and framework tools to study the effect of DIPs in the virus spreading. Our results can inspire us to develop a new method to strengthen the effect of DIPs and give a potential answer for some biological questions related to virus transmission. The long-term aim of our study is to help medical scientists decide how to use DIPs to inhibit the transmission of viruses in a new treatment in the future.
|Effective start/end date||1/01/22 → …|