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COVID-19 Professional Forum and Compendium

Participate in an exchange of the latest information about COVID-19 with key thought leaders.


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The American Heart Association is working to ensure optimal care for patients with cardiovascular disease who contract coronavirus (COVID-19). Patients with underlying cardiovascular diseases appear to have an increased risk for adverse outcomes with COVID-19.

Here are some helpful resources for health systems, clinics, care providers, patients and the public

AHA COVID-19 Professional Forum - Get Started Guide

This short video explains how to share ideas, challenges, and network with peers on the new AHA COVID-19 Professional Forum. It's a quick-start guide to start you talking with colleagues today!

Science News & AHA Journals

Podcasts

Join experts from the AHA and CDC for a webinar for healthcare professionals.

Webinar: COVID-19 Update for Healthcare Professionals Date: Tuesday, May 5, 2020 Time: 12:00 p.m. ET

  • Representing AHA: Mariell Jessup, MD, FAHA and Eduardo Sanchez, MD, MPH, FAAFP
  • Representing CDC: Larry Sperling, MD, FACC, FACP, FAHA, FASPC and John Brooks, MD

REGISTER NOW

AHA Center for Health Metrics and Evaluation

Stroke Community

Professional Support

Featured Videos

Answers to questions about COVID-19 and heart valve disease

New this week! Suzanne Arnold, MD, FAHA, answers questions about COVID-19 for those living with heart valve disease and facing treatment for aortic stenosis.

COVID | Updates from the Front Lines | Salt Lake City, UT

CIRCULATION  COVID team member Anurag Mehta, MD, interviews James C. Fang, MD, Chief, Division of Cardiovascular Medicine for the University of Utah, Salt Lake City, about his experience preparing a rural hospital system for the COVID-19 surge.

View the full COVID | Updates from the Front Lines video series


CPR & Resuscitation

AHA Research Community

COVID-19 Models and Forecasts

  • IHME — Institute for Health Metrics. Forecasts no. of hospitalizations and deaths in the US and by state. Methods: non-linear mixed effects curve-fitting.
  • CHIME — University of Pennsylvania's Hospital Impact Model for Pandemics. Method: SIR
  • LANL — Los Alamos National Laboratory. Model displays confirmed and forecasted case data. Methods: statistical dynamical growth model accounting for population susceptibility.
  • MOBS — Northeastern University's Model of Biological + Socio-technical Systems. Methods: metapopulation, age-structured SLIR model.
  • UT Austin — From the University of Texas at Austin. Method: statistical mixed-effect model.

More for Providers

Beneficial Business Exchange

This new AHA platform is for broad-scaled exchanges between businesses and organizations, not individuals — the focus is on organizational/community needs and helping donors meet those. Help spread the word!

For Patients & the Public