Events

Join Zoom Meeting

https://yorku.zoom.us/j/4165180503

Speaker: Dr. Christopher M Heggerud

Department of Environmental Science and Policy, Center for Population Biology, University of California, Davis.

Title: Understanding transient dynamics using empirical dynamical modelling  

Time: 9:30 – 10:30 am EST

Join Zoom Meeting

https://yorku.zoom.us/j/4165180503

Speaker: Liu Yang

York University

Title: Effects of HPAI on supply chain dynamics of live poultry

Time: 9:30 – 10:30 am EST

Join Zoom Meeting

https://yorku.zoom.us/j/4165180503

Speaker: Ankai Liu

York University

Title: A quantification of long transient dynamics and its applications

Time: 9:30 – 10:30 am EST

Join Zoom Meeting

https://yorku.zoom.us/j/4165180503

Speaker: Ankai Liu

York University

Title: A quantification of long transient dynamics and its applications

Time: 9:30 – 10:30 am EST

Join Zoom Meeting

https://yorku.zoom.us/j/4165180503

Speaker: Sanaz Gholizadeh

York University

Title: Multiplex network modelling for the impact of the opinion and behaviour of mask-wearing on spreading and control of Covid-19

Time: 9:30 – 10:15 am EST

Speaker: Yi Tan

York University

Title: Effects of spillover events on the monkeypox outbreak in the deterministic and stochastic case

Time: 10:15 – 11:00 am EST

Title:  What triggered the largest outbreak of Dengue fever in Guangzhou?

         ---A predictive modeling for dengue outbreaks

Speaker: Haitao Song

Abstract: As the world’s fastest-spreading mosquito-borne disease, dengue has become a severe public health concerns in the world. In 2014, Guangzhou suffered from the worst dengue outbreak in China over the past two decades, resulting in more than 37,382 cases.  Since the beginning of 2023, dengue outbreaks of significant magnitude have been recorded in endemic regions worldwide. There have been extensive and intensive modelling studies of the transmission and outbreaks of dengue. To understand the mechanisms of dengue outbreaks, we develop a hybrid model with weather conditions, in particularly health resources designated to control. We also define novel indices for predicting the risk of dengue outbreaks which can serve as an improved forecasting tool for early warning of mosquito-borne diseases. Data from Guangzhou on vector abundance, cases reported and weather conditions will be used to validate the modelling predictions.

LAMPS Weekly Group Meeting

Sept. 21, Thursday, 9:30-10:30

Speaker: Professor Guihong Fan, Columbus State University, USA

Title:  The Impact of Avian Species Diversity on the Transmission Dynamics of West Nile Virus

Abstract: There are many compartmental models in literature about West Nile virus (WNv), but most of them ignore the impact of bird species diversity. In this work, we formulate a system of delay differential equations to model the transmission of WNv with an emphasis on the impact of bird species diversity. We classify birds into n species and for each species, we define a competent index D(Rj) which is a function of species specific basic reproduction number Rj . We also find the basic reproduction number R0 for the model with n species of birds. Study shows that if one more species of birds with the lowest competitent index D(Rj) is added to the model, then the basic reproduction number R0 decreases. This is consistent with the field study by biologists from Washington University showing that the more diverse a bird population is in an area, the less chance humans have of exposure to WNv. This is a joint work with Prof. Huaiping Zhu.