Comp-Epi Community Resources

GPCE Spring 2022 Meeting

We are excited to announce the first in-person/hybrid meeting for our Expeditions team members on May 24-25, 2022 at UVA in Charlottesville, VA!

Tuesday May 24

  • 10:00 AM - Welcome: Madhav Marathe (UVA)
  • 10:30 AM - Keynote: Cecile Viboud (NIH)
  • 11:30 AM - Q&A
  • 12:00 PM - Break for lunch
  • 1:00 PM - *Discussion Groups, Session 1: Computational epidemiology research progress
  • 2:15 PM - Break
  • 2:30 PM - *Discussion Groups, Session 2: Future directions
  • 3:45 PM - Break
  • 4:00 PM - Panel Discussion: Reflections on COVID and epidemiology research: short-term challenges and long-term questions
    • Panelists: Li Xiong (Emory), Eili Klein (JHU), Justin Crow (VDH)
    • Moderator: Srini Venkatramanan (UVA)
  • 5:00 PM - Break
  • 5:15 PM - Poster Session (see list of posters below)
  • 6:15 PM - End Day 1

*Discussion Group Topics

  • Modeling and Forecasting (Session Chair: Dave Higdon, VT)
  • Data and Privacy (Session Chair: Aravind Srinivasan, UMD)
  • Computation and Infrastructure (Session Chair: Mandy Wilson, UVA)
  • Policy and Decision Making (Session Chair: Anuj Mubayi, The Public Health Company)
  • Education and Outreach (Session Chairs: Baltazar Espinoza and S.S. Ravi, UVA)

Wednesday May 25

  • 9:00 AM - Keynote: Ramesh Raskar (MIT)
  • 10:00 AM - Q&A
  • 10:30 AM - Break
  • 10:45 AM - Summary of Discussion Groups
  • 11:45 AM - Closing: Madhav Marathe (UVA)
  • 12:00 PM - End Day 2

 

Poster Session

newsletter cover
poster session table

Spring 2022 meeting Program Committee:

  • Xinwei Deng (Virginia Tech)
  • Anuj Mubayi (The Public Health Company)
  • Aravind Srinivasan (University of Maryland)
  • Samarth Swarup (University of Virginia)

Newsletters

CompEpi Quarterly Febuary 2022

CompEpi Quarterly September 2021

CompEpi Quarterly May 2021

CompEpi Quarterly February 2021

CompEpi Quarterly October 2020

CompEpi Quarterly July 2020

Seminar Series Videos // CompEpi YouTube Channel

Dylan George // 11 August 2022

Rita Colwell // 28 July 2022

Lauren Marks // 23 June 2022

Jeff Townsend // Adapting quarantine as a public health measure to scenarios where community transmission is ongoing on both sides of a border // 12 May 2022

Samarth Swarup // A Framework for Modeling Complex Human Behaviors in Epidemic Simulations // 14 April 2022

Richard Hatchett // Two Years Before the Mast: Reflections on the Late Pandemic // 24 March 2022

David Swerdlow // Role of Modeling During Epidemic Responses- View From Public Health, Industry, and Academia // 10 March 2022

Arnaud Bataille // Presentation of the EU Project Livestock Disease Surveillance Knowledge Integration (LIDISKI) // 10 February 2022

Alessandro Vespignani // Computational Epidemiology at the time of COVID-19 // 27 January 2022

Steven Zeichner // Towards Rapid Vaccine Development & Deployment // 18 November 2021

Simon Levin // COVID-19 and Challenges to the Classical Theory of Epidemics // 4 November 2021

Maimuna (Maia) Majumder // Machine Learning Research Applications During the COVID-19 Pandemic // 21 October 2021

Chadi Saad-Roy // Modeling SARS-CoV-2 immuno-epidemiological dynamics // 7 October 2021

Rebecca Powell Doherty // Immunopeptidomics: A Personalized Medicine Approach to Antigen Discovery, Characterization, and Treatment of Autoimmune Inflammatory Disease // 23 September 2021

Aniruddha Adiga // All Models Are Useful: Bayesian Ensembling for Robust High Resolution COVID-19 Forecasting // 9 September 2021

Judy Fox // HySec-Flow: Privacy-Preserving Hybrid Computer Model // 26 August 2021

Aravind Srinivasan // Controlling Epidemic Spread through Stochastic Networks // 12 August 2021

Mark Orr // Behavior Matters, Whatever Next: Computational Psychology for Computational Epidemiology // 8 July 2021

Stephen Eubank // Perturbative approximations to stochastic satisfiability problems // 22 April 2021

Anuj Mubayi // Ecological Complexity, Thresholds, and Risk Tradeoff in the Dynamics of Neglected Vector Borne Diseases // 8 April 2021

Jiangzhuo Chen // Efficient Vaccination in a Volatile Pandemic // 25 March 2021

Natarajan Meghanathan // A Novel Approach to Quantify the Intra-Cluster Density of the Blocking Cluster of a Complex Network // 11 March 2021

Rajesh Sundaresan // Optimal design of serosurveys for disease burden estimation // 25 February 2021

Wilfred Ndifon & Lavanya Singh // Searching for COVID-19 patients in a hypercube // 11 February 2021

Jeff Townsend // Optimal COVID-19 quarantine and testing strategies // 28 January 2021

Anil Vullikanti // Controlling epidemics on networks: a game theoretical perspective // 14 January 2021

Xinwei Deng // Modeling and Active Learning for Experiments with Quantitative-Sequence Factors // 19 November 2020

Jure Leskovec & Serina Chang // Mobility network models of COVID-19 explain inequities and inform reopening // 5 November 2020

Ramanan Laxminarayan // Epidemiology and Transmission Dynamics of COVID-19 in two Indian States // 24 September 2020

Jeff Townsend // The duration of immunity following COVID-19 infection // 10 September 2020

Kathleen Alexander // Transforming Landscapes and the Ecology of Scale - Understanding Disease Emergence at the Human-Wildlife-Environmental Interface // 27 August 2020

Naren Ramakrishnan // Automatic Extraction of Epidemiological Line Lists for Open Sources // 13 August 2020

B. Aditya Prakash // Deep Learning Data-driven Approaches for Epidemic Forecasting // 23 July 2020

Abhishek Pandey & Alison Galvani // Projecting hospital utilization and assessing implications of silent transmission during the COVID-19 outbreak in the United States // 9 July 2020

Rita Colwell // Climate, Oceans, and Human Health: Cholera as a Paradigm for Predicting Infectious Diseases // 25 June 2020

Simon Levin & Dylan Morris // Optimal, near-optimal, and robust epidemic control // 11 June 2020 

 

Student Presentations & Spotlights

Ann Li, UVA & George Li UMD // February 2022

Hayley Hassler, Yale // August 2021

Carlos Bustamante & Jordy Cevallos, Arizona State // May 2021

Serina Chang, Stanford // October 2020 // February 2021

Jacob Ritchie, Stanford // Crowdsourcing County-level COVID-19 Policy Data - and Lijing Wang, UVA // Interplay of global multi-scale human mobility, social distancing, government interventions and COVID-19 dynamics // 24 June 2020

Henry Carscadden, UVA // June 2020

 

You can find more seminars on our NSF PREPARE YouTube Channel!

Contact

For queries about our research or to be notified about upcoming seminars, please contact [email protected]