Modeling and Control of Infectious Diseases | Center for Disease Modeling (CDM)

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Harnessing Dynamical footprints to detect disease emergence

Posted on 12 June 2023

Speaker: Dr. Pej Rohani University of Georgia Abstract: Developing methods for anticipating the emergence or re-emergence of infectious diseases is both important and timely, however traditional model-based approaches are stymied by uncertainty surrounding the underlying drivers. Here, we demonstrate an operational, mechanism-agnostic detection algorithm for disease (re-)emergence based on early-warning signals (EWS) derived from the […]

Generating and Using Simulation-based Contacts Mixing Patterns to Model SARS-CoV-2 Transmission: Case of Dialysis Unit

Posted on 12 June 2023

Speaker: Dr. Ali Asgary, York University Abstract: The COVID-19 pandemic poses a significant and unique challenge to End-Stage Kidney Disease (ESKD) patients and their care providers. The ESKD patients need to visit dialysis units three or more times a week while in close proximity with other patients, nurses, physicians, and other staff. This lecture demonstrates our […]

Predicting the Development of COVID-19 Epidemics from Reported Case Data

Posted on 12 June 2023

Speaker: Dr. Glenn Webb, Vanderbilt University Abstract: Our goal is to develop mathematical models to provide predictions for COVID-19 epidemics. The models incorporate asymptomatic and symptomatic infectiousness transmission. We use reported case data to parameterize the models at the epidemic outbreak stage. The models incorporate social distancing and public health measures. The models will be […]

A novel predictive framework for the novel coronavirus

Posted on 12 June 2023

Speaker: Dr. Niayesh Afshordi, University of Waterloo Perimeter Institute for Theoretical Physics Abstract: It would be hard to exaggerate the impact that COVID-19 pandemic outbreak, caused by the rapid spread of the SARS-CoV-2 coronavirus, has had on human civilization. Cascading effects from the impact of the pandemic on national healthcare systems, as well as the […]

Epidemiological parameters and mathematical models of COVID-19

Posted on 12 June 2023

Speaker: Dr. Daihai He Hong Kong Polytechnic University Abstract: I will review some results of my team on the epidemiology of the COVID-19, including the estimation of key epidemiological parameters, the impact of the varying reporting rate on the basic reproductive number estimation, the impact of isolation measures on the generation interval estimation, and the climate […]