2021 Symposium

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Join the Symposium Live: 
https://wse.zoom.us/j/96967266984

 

Tragically, the burdens of the COVID-19 pandemic often fall on the most vulnerable members of society.  In this symposium, we will engage the broader Johns Hopkins community in a meaningful conversation on various aspects of disparities arising from the COVID-19 pandemic. Join us for an interactive discussion on how data science approaches and methods contribute to better understand, address, and mitigate the disparate impact of COVID-19.

In addition to keynotes and short talks, the event will involve data science teams working on various aspects of the COVID-19 disparity problem.  Scheduling the event over two days, separated by a week, will give these teams a chance to present their approach during the first day, continue their work over the course of a week, and report their preliminary results during the second day of the event.

The two-day event will feature: 
Four Keynotes 
Short Talks by COVID-19 Thought Leaders 
Team Lightning Talks 
Hackathon

REGISTER HERE

SPEAKERS

Headshot of Lisa Cooper.

Lisa Cooper

Bloomberg Distinguished Professor of Equity in Health and Healthcare, Johns Hopkins University
Full Profile

“The Role of Research in Advancing Health Equity: Calling for a Bold New Vision”

Headshot of Christopher Chute.

Christopher Chute

Bloomberg Distinguished Professor of Health Informatics, Johns Hopkins University
Full Profile

“COVID Data Repositories Curated by Hopkins:  Resources for Data Science and Disparity Research”

Headshot of David Putrino.

David Putrino

Assistant Professor in the Department of Rehabilitation Medicine at the Icahn School of Medicine, Mount Sinai
Full Profile

“Post-acute COVID Syndrome: Origins, Lessons Learned and Early Disparities in Care”

Headshot of Danielle Ompad.

Danielle Ompad

Associate Professor of Epidemiology and Associate Dean for Education at NYU School of Global Public Health
Full Profile

“Vaccinating Difficult to Reach Populations”

Headshot of Panagis Galiatsatos.

Panagis Galiatsatos, MD

Assistant Professor in the Division of Pulmonary & Critical Care Medicine at Johns Hopkins School of Medicine
Full Profile

“Combating Health Disparities Through Community Engagement: How Did We Adapt during COVID-19?”

Ilya Shpitser

Ilya Shpitser

John C. Malone Assistant Professor of Computer Science
Full Profile

“Understanding Mechanisms Behind COVID-19 Disparities”

PROGRAM

Johns Hopkins Malone Center for Engineering in Healthcare. Data Science for Social Good. Disparities and COVID-19. Monday, January 11, 2021. 8:50 – 9:00 Welcome Remarks. 9:00 - 9:50 LISA COOPER “The Role of Research in Advancing Health Equity: Calling for a Bold New Vision”. 9:50 - 10:25 Intro to Human-Computer Interaction Projects on Disparities and COVID-19 Chien-Ming Huang, Elle Park, Carlos Aguirre. 10:25 - 10:40 15 min break. 10:40 - 11:13 ILYA SHPITSER “Understanding Mechanisms Behind COVID-19 Disparities”. 11:15 - 11:48 PANAGIS GALIATSATOS “Combating Health Disparities Through Community Engagement: How Did We Adapt during COVID-19?”. 11:50 - 12:00 10 min break. 12:00 - 1:15 Lightning Talks from Data Science Teams (Strategies). Tuesday, January 19, 2021. 8:50 – 9:00 Welcome Remarks. 9:00 - 9:50 DANIELLE OMPAD “Vaccinating Difficult to Reach Populations”. 9:50 - 10:40 DAVID PUTRINO “Post-acute COVID Syndrome: Origins, Lessons Learned, and Early Disparities in Care”. 10:40 - 11:00 20 min break. 11:00 – 11:50 CHRISTOPHER CHUTE “COVID Data Repositories Curated by Hopkins: Resources for Data Science and Disparity Research”. 11:50 – 12:00 10 min break. 12:00 – 1:15 Lightning Talks from Data Science Teams (Results). Data Science Teams. Structural racism as a moderator for racial disparities in COVID-19 mortality rates. Led by Elizabeth Colantuoni. Disparities in the transition to digital modalities of care delivery during the COVID-19 pandemic. Led by Natalie Flaks-Manov and Casey Overby Taylor. COVID-19 response for the Latino Community. Led by Diego Martinez and Kathleen Page, MD. Rapid assessments of human behavior including NPI adoption to inform SARS-CoV-2 transmission modeling and public health response. Led by Shruti Mehta. Novel use of linking data sources to evaluate Solid Organ Transplant (SOT) patients, Disparities, and COVID-19. Led by Tanjala Purnell. Understanding mechanisms behind COVID-19 disparities. Led by Ilya Shpitser. To register, go to mceh-2020-covid19-symposium.eventbrite.com. After you register, you will receive a link that will allow you to join the program virtually. For more event info, visit malonecenter.jhu.edu/symposium-2020.
Background

JOHNS HOPKINS DATA SCIENCE TEAMS

Structural racism as a moderator for racial disparities in COVID-19 mortality rates. Led by Elizabeth Colantuoni, Senior Scientist at Johns Hopkins Bloomberg School of Public Health

Disparities in the transition to digital modalities of care delivery during the COVID-19 pandemic. Led by  Natalie Flaks-Manov, Postdoctoral Research Fellow and Casey Overby Taylor, Assistant Professor of Medicine and Biomedical Engineering

COVID-19 response for the Latino Community. Led by Diego Martinez, Assistant Professor of Emergency Medicine and Kathleen Page, MD, Associate Professor of Medicine

Rapid assessments of human behavior including NPI adoption to inform SARS-CoV-2 transmission modeling and public health response. Led by Shruti Mehta, Assistant Professor at Johns Hopkins Bloomberg School of Public Health

Novel use of linking data sources to evaluate Solid Organ Transplant (SOT) patients, Disparities, and COVID-19. Led by Tanjala Purnell, Assistant Professor at Johns Hopkins Bloomberg School of Public Health

Understanding mechanisms behind COVID-19 disparities. Led by Ilya Shpitser, John C. Malone Professor of Computer Science 

#MCEHSYMP20

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