The relationship between the dynamics of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in a host’s upper respiratory tract and in surrounding aerosols is key in understanding SARS-CoV-2 transmission and informing intervention strategies. We developed a within-host and aerosol mathematical model, accounting for both total RNA and infectious RNA, and used it to determine the relationship between viral kinetics in the upper respiratory track, viral kinetics in the aerosols, and new transmissions in golden hamsters challenged with SARS-CoV-2. We determined that infectious virus shedding early in infection correlates with transmission events, shedding of infectious virus diminishes late in the infection, and high viral RNA levels late in the infection are a poor indicator of transmission. We further showed that viral infectiousness increases in a density dependent manner with viral RNA and that their relative ratio is time-dependent. Such information is useful for designing interventions.
Immunobiology and Infection Subgroup (IMMU)
Ad hoc subgroup meeting room(reserved for subgroup activities):Cartoon Room 1 in The Ohio Union
MS01-IMMU-1: Within-host SARS-CoV-2 viral and immune dynamics
Organized by: Esteban A. Hernandez-Vargas, Hana Dobrovolny
- Nora Heitzman-Breen Virginia Tech (Mathematics) "Modeling within-host and aerosol dynamics of SARS-CoV-2: the relationship with infectiousness"
- Melanie Moses University of New Mexico (Computer Science) "Spatial Immune Model of Coronavirus (SIMCoV) in the lung"
- Lars Kaderali Univesity Medicine Greifswald (Institute of Bioinformatics) "Modelling the intracellular replication of SARS-CoV-2 and related RNA viruses"
- Hwayeon Ryu Elon University (Mathematics) "Mathematical Modeling of Immune Response to SARS-CoV-2"
- Mélanie Prague Univ. Bordeaux, Inria, Inserm, Bordeaux Population Health, France (Statistics in Immunology and translational medicine) "Joint modeling of viral and humoral response in Non-human primates to define mechanistic correlates of protection for SARS-CoV-2"
MS02-IMMU-1: Multiscale Mechanistic Modeling in Immunology (in celebration of Denise Kirschner’s 60th birthday)
Organized by: Marissa Renardy, Caitlin Hult
- Marissa Renardy Applied BioMath (Modeling) "Capturing CAR-T cell therapy dynamics through semi-mechanistic modeling"
- Pariksheet Nanda University of Michigan Medical School (Microbiology and Immunology) "Calibrating multivariate models using CaliPro and approximate Bayesian computing"
- Maral Budak University of Michigan Medical School (Department of Microbiology & Immunology) "Optimizing regimen treatment during the host-pathogen interaction of tuberculosis using a multi-scale computational model"
- Christian Michael University of Michigan - Michigan Medicine (Microbiology & Immunology) "Towards digital partners of Mycobacterium tuberculosis infection within a virtual city framework"
- Elsje Pienaar Purdue University (Biomedical Engineering) "Biofilm impacts in Non-tuberculous mycobacterial infections in the airway"
MS02-IMMU-2: Within-host SARS-CoV-2 viral and immune dynamics
Organized by: Esteban A. Hernandez-Vargas, Hana Dobrovolny
- Esteban Abelardo Hernandez-Vargas University of Idaho (Department of Mathematics and Statistical Science) "The shape of antibody dynamics of severe and non-severe patients with COVID-19: A mathematical modeling approach"
- Veronika I. Zarnitsyna Emory University School of Medicine (Microbiology and Immunology) "Competing Heterogeneities in Vaccine Effectiveness Estimation"
- Hana Maria Dobrovolny Texas Christian University (Department of Physics & Astronomy) "Virus-mediated cell fusion of SARS-CoV-2 variants of concern"
- Suzan Farhang-Sardroodi University of Manitoba (Department of Mathematics) "Mathematical modelling of the humoral and B cell response to SARS-CoV-2"
- Ruian Ke Los Alamos National Laboratory "The relationship between SARS-CoV-2 viral load and infectiousness and quantifying the infectiousness heterogeneity"
- Jane Heffernan York University (Mathematics & Statistics) "Modelling COVID-19 infection and vaccination"
MS03-IMMU-1: Viral dynamics and its applications
Organized by: Tin Phan, Ruian Ke, Ruy M. Ribiero, Alan S. Perelson Note: this minisymposia has multiple sessions. The other session is MS04-IMMU-1.
- Stanca Ciupe Virginia Tech (Mathematics) "Mathematical models of Usutu Viral Infection"
- Elissa Schwartz Washington State University (Math/Biol Sci) "Equine Infectious Anemia Virus (EIAV) dynamics and applications to vaccine development"
- Wenjing Zhang Texas Tech University (Department of Mathematics and Statistics) "Detecting and Resetting Tipping Points to Create More HIV Post-treatment Controllers with Bifurcation and Sensitivity Analysis"
- Jasmine A. F. Kreig Los Alamos National Laboratory (T6: Theoreticacl Biology and Biophysics) "Using an agent-based model to explore affinity maturation of B cells: a SARS-CoV-2 case study"
MS04-IMMU-1: Viral dynamics and its applications
Organized by: Tin Phan, Ruian Ke, Ruy M. Ribiero, Alan S. Perelson Note: this minisymposia has multiple sessions. The other session is MS03-IMMU-1.
- Tin Thien Phan Los Alamos National Laboratory "Feasibility of using dynamic models with virus-immune interactions to predict early viral rebound dynamics following HIV-1 antiretroviral therapy interruption"
- Ellie Mainou The Pennsylvania State University (Department of Biology) "Investigating alternative models of acute HIV infection"
- Jonathan Cody Purdue University (Weldon School of Biomedical Engineering) "Potential for HIV viral control with IL-15 immunotherapy: Stability analysis of a mathematical model"
- Baylor Fain Texas Christian University (Physics and Astronomy) "Deconstructing agent-based model parameters"
MS05-IMMU-1: Immunobiology and Infection Subgroup Minisymposium 2023
Organized by: Morgan Craig, Daniel Reeves
- E. Fabian Cardozo-Ojeda Fred Hutchinson Cancer Center (Vaccine and Infectious Disease Division) "HIV-1 reservoir dynamics during hematopoietic stem cell transplantation"
- Jessica M. Conway Penn State (Mathematics) "Modeling on-demand PrEP regimen to prevent HIV transmission"
- Chapin S. Korosec York University, 4700 Keele St, Toronto, M3J 1P3, ON, Canada. (Modelling Infection and Immunity Lab, Mathematics and Statistics) "Within-host evolution of SARS-CoV-2: how often are de novo mutations transmitted?"
- Adnan Khan Lahore University of Management Sciences (Mathematics) "Modeling Antibiotic Resistance and Effective Dosing Regimens"
MS08-IMMU-1: Data-driven modeling and model calibration in biology
Organized by: Kang-Ling Liao, Wing-Cheong Lo, Huijing Du, Wenrui Hao, Yuan Liu
- Wing-Cheong Lo City University of Hong Kong (Mathematics) "Modeling COVID-19 transmission dynamics with self-learning population behavioral change"
- Wenrui Hao Penn State University (Mathematics) "data driven modeling of Alzheimer’s disease"
- Kang-Ling Liao University of Manitoba (Mathematics) "A simple in-host model for Covid-19 with treatments-model prediction and calibration"
- Xiaojun Tian Arizona State University (School of Biological and Health Systems Engineering) "Modeling Emergent Dynamics in Engineering Synthetic Gene Circuits"
Sub-group contributed talks
CT01-IMMU-1: IMMU Subgroup Contributed Talks
- Benjamin Whipple University of Idaho "Regulation of CD8+ T cells may explain age dependent immune response to influenza infection"
- Bryan Shin University of Vermont Larner College of Medicine "Examining B-cell dynamics and responsiveness in different inflammatory milieus using an agent-based model"
- Quiyana M. Murphy Virginia Tech "Understanding Neutrophil Dynamics during COVID-19 Infection"
CT01-IMMU-2: IMMU Subgroup Contributed Talks
- Jason E. Shoemaker University of Pittsburgh "Sex-specific immunoregulation: Computational modeling approaches to determine why biological females may experience greater inflammation during influenza infection"
- Elizabeth R Duke Fred Hutchinson Cancer Center "Intrahost mathematical modeling of CAR T cells for HIV cure"
- Vitaly V. Ganusov University of Tennessee "Using mathematical modeling to determine pathways of Mycobacterium tuberculosis dissemination in mice"
- Alexis Hoerter Purdue University "Agent Based Model Investigating Latent and Naïve In Vitro M. Tuberculosis Infection Dynamics"
CT02-IMMU-1: IMMU Subgroup Contributed Talks
- Adquate Mhlanga Loyola University Chicago "Mathematical modeling of hepatitis D virus and hepatitis B virus interplay during anti-HDV treatment"
- Caroline I. Larkin University of Pittsburgh "Rule-based modeling of Eastern Equine Encephalitis Virus replication dynamics"
- Hayashi Rena Kyushu University "Establishment chance of a mutant strain decreases over time after infection with the original strain."
- Quintessa Hay Virginia Commonwealth University "A Mathematical Model for Wound Healing in Reef-Building Coral Pocillopora damicornis"
CT03-IMMU-1: IMMU Subgroup Contributed Talks
- Daniel B Reeves Fred Hutchinson Cancer Center "Modeling antibody mediated prevention of HIV to derive in vivo potency of VRC01"
- David W. Dick York University "HIV-1 neutralization potential of red blood cells viral traps"
- Katherine Owens Fred Hutchinson Cancer Center "Heterogeneous SARS-CoV-2 kinetics and in vitro overestimates of nirmatrelvir potency in humans"
- Mohammad Aminul Islam University at Buffalo, The State University of New York, Buffalo, NY "Mathematical Modeling of Impacts of Patient Differences on COVID-19 Lung Fibrosis Outcomes"
Sub-group poster presentations
Poster ID: IMMU-01 (Session: PS02)
"Agent-based model predicts layered structure and 3d movement work synergistically to reduce bacterial load in 3d in vitro models of tuberculosis granulomas"