Edbert Brian Hsu, M.D., M.P.H.

Headshot of Edbert Brian Hsu
  • Associate Director, Critical Event Preparedness and Response (CEPAR)
  • Associate Professor of Emergency Medicine


Emergency Medicine


Edbert Hsu, M.D., M.P.H., FACEP, joined the department faculty after completing an International EM fellowship at Johns Hopkins. Combining his international health background with a special interest in disaster medicine, he has worked on emergency medicine program development and disaster preparedness around the world.

Currently, he serves on the leadership group of the Office of Critical Event Preparedness and Response (CEPAR) and has been a co-investigator with the DHS Center for the Study of Preparedness and Catastrophic Event Response (PACER) at Johns Hopkins. Dr. Hsu has completed military training in the management of chemical and biological casualties and has extensive experience in the planning and evaluation of disaster drills. In recent years, he has been interested in the topic of mass gatherings and crowd disasters.

As a fellow of the American College of Emergency Physicians (FACEP) and principle investigator on several federally funded projects, he has lectured widely on various emergency and disaster related topics. Dr. Hsu serves as an Associate Editor for the AMA Journal, Disaster Medicine and Public Health Preparedness.

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  • Associate Director, Critical Event Preparedness and Response (CEPAR)
  • Associate Professor of Emergency Medicine

Departments / Divisions



  • MD; Medicine; University of Pittsburgh School of Medicine (1997)


  • Emergency Medicine; Johns Hopkins University School of Medicine (2000)

Board Certifications

  • American Board of Emergency Medicine (Emergency Medicine) (2002)

Research & Publications

Research Summary


  1. Co-Investigator, CDC CPHP, “Advanced Training for Field Deployment."  Develop and conduct training for healthcare responders in preparation for field response operations. (PI Links)
  2. Co- Investigator, DHS/ Kentucky NIHS, “IMDSS-H." Assist in development of real-time decision support software for healthcare incident command. (PI Gantt)
  3. Co-Investigator, DHS PACER II “Center for Study of High Consequence Event Preparedness and Response." Multi-center partnership to study issues related to surge capacity in disaster preparedness and Response (PI Kelen)

Selected Publications

View all on PubMed

Cates AL, Arnold BW, Cooper GP, Yeager V, Stake J, Ali M, Calderone RC, Wilkinson J, Hsu E, Parrillo S, Piper S, Subbarao I. Impact of dual-polarization radar technology and Twitter on the Hattiesburg, Mississippi tornado. Disaster Med Public Health Prep. 2013 Dec;7(6):585-92. doi: 10.1017/dmp.2013.113. PMID: 24444131 [PubMed - in process]

Hsu EB, Li Y, Bayram JD, Levinson D, Yang S, Monahan C. State of virtual reality based disaster preparedness and response training. PLoS Curr. 2013 Apr 24;5. pii: ecurrents.dis.1ea2b2e71237d5337fa53982a38b2aff. doi: 10.1371/currents.dis.1ea2b2e71237d5337fa53982a38b2aff. PMID: 23653102

Hsu EB, Burkle FM, Jr., Lyznicki J, Subbarao I, Thanner M. Chapter 1: Disasters and Public Health Emergencies. Advanced Disaster Life Support Manual. v. 3.0; 2012.

Burkle FM, Jr, Hsu EB. “Preventable Deaths at Ram Janki Temple Demand Improved Understanding of Human Stampedes.” Lancet. 2011 Jan 8;377(9760):106-7. Epub 2010 Jul 23.

Harrington, JE, Jr., Hsu EB. “Supplying Anti-Viral Drugs During a Pandemic: The Role of Manufacturer Reserve Programs.” Journal of Health Economics. 2010 May;29(3):438-44. Epub 2010 Mar 16

Hsieh YH, Ngai KM, Burkle FM, Jr., Hsu EB. “Epidemiological Characteristics of Human Stampedes.” Disaster Medicine and Public Health Preparedness. 2009 Dec;3(4):217-23.

Patient Ratings & Comments

The Patient Rating score is an average of all responses to physician related questions on the national CG-CAHPS Medical Practice patient experience survey through Press Ganey. Responses are measured on a scale of 1 to 5, with 5 being the best score. Comments are also gathered from our CG-CAHPS Medical Practice Survey through Press Ganey and displayed in their entirety. Patients are de-identified for confidentiality and patient privacy.

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