Bulletin of the American Physical Society
APS March Meeting 2021
Volume 66, Number 1
Monday–Friday, March 15–19, 2021; Virtual; Time Zone: Central Daylight Time, USA
Session C58: Physics of COVID-19Invited Live Undergrad Friendly
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Sponsoring Units: FIAP GMED Chair: Robert Jeraj, University of Wisconsin - Madison |
Monday, March 15, 2021 3:00PM - 3:36PM Live |
C58.00001: Disinfection Efficacy of Ultraviolet Light Sources on SARS-CoV-2* Invited Speaker: Brett Huhman The U.S. Naval Research Laboratory (NRL), in collaboration with the |
Monday, March 15, 2021 3:36PM - 4:12PM Live |
C58.00002: The physics of evaporating human-exhaled drops and possible implications for virus viability Invited Speaker: Jorgen Jensen Human-exhaled drops are thought to be a main way to transport Sars-CoV-2 virus particles from COVID-19 infected persons to other persons, thereby rendering them possible to also become infected. The viability of virus particles in airborne drops depends on a number of physical properties, e.g., air temperature, exposure to ultraviolet light, and relative humidity of air. |
Monday, March 15, 2021 4:12PM - 4:48PM Live |
C58.00003: What can imaging tell us about SARS-Cov-2 infection Invited Speaker: Robert Jeraj The COVID-19 pandemic has resulted in hundreds of millions infections and millions of deaths worldwide. Morbidity and mortality are primarily driven by SARS-CoV-2-induced lung injury culminating in Acute Respiratory Distress Syndrome (ARDS). Physicians are faced with the task of rapidly evaluating patients with suspected COVID-19 and deciding whether they can go home, if they need hospitalization and if they do, how sever is infection. Furthermore, early data suggests that even non-critically ill survivors of COVID-19 have significant residual impairments in lung function, even though precise mechanisms contributing to lung injury and promoting repair after SARS-CoV-2 infection are unclear. |
Monday, March 15, 2021 4:48PM - 5:24PM Live |
C58.00004: A Topological Data Analysis perspective on coronavirus evolution Invited Speaker: Raul Rabadan Raul Rabadan is theoretical physicist and computational biologist. After getting his PhD in Theoretical Physics, he did post-doctoral work at CERN in Geneva, Switzerland and the Institute for Advanced Study in Princeton, before joining Columbia University as a faculty member. At Columbia University, Dr. Rabadan directs the Program for Mathematical Genomics and the Center for Topology of Cancer Evolution and Heterogeneity. He applies quantitative approaches to model and understand the dynamics of biological systems through the lens of genomics. His research focuses on the evolution of two biological systems, namely cancer and infectious diseases. In the area of infectious diseases, he studies the evolution of emerging pathogens by the analysis of their genomes, in particular the genomes of RNA viruses such as influenza and coronaviruses. His recent book, “Understanding Coronavirus” provides a concise and accessible introduction to the coronavirus SARS-COV-2 which has caused the ongoing global pandemic. He is also the author of a textbook about the use of topological methods in genomic analysis (“Topological Data Analysis for Genomics and Evolution: Topology in Biology”). This seminar will present an overview of the origin and evolution of the pandemic virus and how topological techniques can help to elucidate the emergence of these viruses. |
Monday, March 15, 2021 5:24PM - 6:00PM Live |
C58.00005: The role of transmission network structure in COVID-19 spread and control Invited Speaker: Alison Hill Mathematical models are a key tool used in designing effective responses to COVID-19. Models for infectious disease spread must consider not only biological, clinical, and epidemiological characteristics of a particular pathogen, but also the human behavior that drives transmission. One of the most important manifestations of this is the network of human contacts through which infection can spread. The structure of this network can influence the pattern of disease spread, such as the rate of spread, the degree of super-spreading, the probability of extinction, the herd immunity threshold, and the optimal allocation of vaccines. In this talk I will discuss approaches to building models that account for the heterogeneous nature of human contact networks, and about how these factors specifically relate to the COVID-19 pandemic. I will describe our group's work to understand how transmission network structure impacts COVID-19 dynamics, such as the efficacy of social distancing interventions, the impact of changes in household structure, the shape of epidemics in cities, and selection of new variants. |
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