Building the Evidence Base for Disaster Risk Reduction for Health Systems in Response to Natural Disasters: "State of the Science" Webinar 1
 Course ID: 1075268
 Format: Webstream/Archived Webcast (Online)
 Clinical / Non-Clinical: Non Clinical
 Course Number:
 Cost (US$): 0.00
 Credit Type(s): none
 Certificate:
Course Description:

This is the first in a series of webinars, workshops, pilot studies and regional preparedness exercises to discuss the current state and future direction of critical healthcare infrastructure modeling for disaster events. This series is co-sponsored by the National Center for Disaster Medicine and Public Health (NCDMPH), National Institute for Standards and Technology (NIST), and the National Institute of Environmental Health Sciences (NIEHS) with coordination through the Global Change Research Program. The goal is to develop a platform for integrating extreme event forecasts, health risk/impact assessment and population simulations, critical infrastructure (electrical, water, transportation, communication) impact and response models, health care facility-specific vulnerability and failure assessments, and health system/patient flow responses. Many of these components exist individually at present, but they have not been combined. The integration of these models is intended to create a more resilient regional health care system by better understanding critical tipping points in the vulnerability of current health systems during natural and human disasters and build an evidence base for specific interventions.

Webinar 1: State of the Science

Webinar Goals:

This first webinar will focus on the framework and concepts and mechanistic considerations of these models, rather than on specifics of any one of the modular components. Latter sessions will focus on practical applications from the end-user perspective.

  1. Establish the framework for the overall predictive modeling project- its modular components, consideration of the foundational modeling platform, types of expertise to be brought together;
  2. Learn from leading experts about existing research and models that serve as starting points for the main modular components;
  3. Begin to document and catalog the inputs and outputs of the main modular components for comparison with user needs assessment, which will follow.

 

Agenda:

Moderator

-Dr. John Balbus, National Institute of Environmental Health Sciences

Modeling of Connected Infrastructure Systems in Response to Natural Disasters

-Dr. Gerald Geernaert, Department of Energy

Modeling of Health System Impacts and Failure Analysis

-Dr. Judith Mitrani-Reiser, National Institute of Standards and Technology

Modeling of Mass Casualty Scenarios

-Dr. Nathaniel Hupert, Weill Medical College, Cornell University

Development of Integrated Impact Assessment Modeling Platforms

 -Dr. Ian Kraucunas, Pacific Northwest National Labs

Subject Area(s):
Epidemiology / Biostatistics
Policy / Planning
Preparedness & Response
Emergency Management
Healthcare
Audience(s):
Biostatisticians
Environmental Health Professionals
Policy / Planner
Researchers / Analysts
Public Health
Healthcare
Background/Role(s):
Administrators / Directors / Managers
General / Field / Frontline Staff
Government / Community Leader
Course Language(s):
English
Course Level: Introductory
Registration Required Outside of TRAIN: no
Registration Restrictions:
Sponsor: co-sponsored by the National Center for Disaster Medicine and Public Health (NCDMPH), National Institute for Standards and Technology (NIST), and the National Institute of Environmental Health Sciences (NIEHS) with coordination through the Global Change R
Accreditations: none
Special Notes:
Course Contacts
Description:
Name: Victoria Klimczak
Phone: 240-833-4438
email: victoria.klimczak.ctr@usuhs.edu
URL:
To access this course, you first need to create an account:
If you already have an account, please login:
User Reviews
 
(3 reviews)
3.7 out of 5 stars
All Reviews
 
Overall Impression Recommends this course: Not Supplied  
February 13, 2018
 
Overall Impression Recommends this course: Not Supplied  
February 08, 2018
 
Overall Impression Recommends this course: Not Supplied  
February 02, 2018
 
Funding notice

This site was supported by the Grant or Cooperative Agreement Number, NU90TP000545, funded by the Centers for Disease Control and Prevention. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the Centers for Disease Control and Prevention or the Department of Health and Human Services.