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Operational Considerations in Global Health Modeling.

Katherine M Broadway1, Kierstyn T Schwartz-Watjen2, Anna L Swiatecka3

  • 1Defense Sciences, Inc. (DSI), Support to DTRA Technical Reachback, San Antonio, TX 78230, USA.

Pathogens (Basel, Switzerland)
|October 23, 2021
PubMed
Summary

Epidemiological modeling and simulation tools enhance biosurveillance and support public health emergency decision-making. Lessons learned from COVID-19 and Ebola inform future development for effective response operations.

Keywords:
DTRAbiosurveillanceepidemiological modeling and simulationglobal health operations

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Area of Science:

  • Epidemiology
  • Public Health
  • Biosurveillance

Background:

  • Epidemiological modeling and simulation are vital for biosurveillance systems.
  • These tools support real-time decision-making during public health emergencies.
  • Robust tools are crucial for risk assessment and management.

Purpose of the Study:

  • To discuss considerations made by the Defense Threat Reduction Agency (DTRA) in employing epidemiological modeling for public health crises.
  • To highlight key lessons learned from using these tools.
  • To provide recommendations for future development of epidemiological modeling tools.

Main Methods:

  • Review of DTRA-sponsored modeling and decision support tools.
  • Examples of tool application during COVID-19 and Ebola outbreaks.
  • Discussion of considerations and lessons learned.

Main Results:

  • DTRA tools have been applied to real-world public health emergencies, including COVID-19 and Ebola.
  • Specific considerations were made in employing these models for operational relevance.
  • Key lessons were identified from these applications.

Conclusions:

  • Epidemiological modeling is essential for effective biosurveillance and public health response.
  • Lessons learned from past outbreaks inform the development of future tools.
  • Continued research and development are recommended for enhanced biosurveillance capabilities.