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A Synergistic Approach to Data-Driven Response Planning

Published online by Cambridge University Press:  09 March 2020

Marty O’Neill ,
Michael Poole  and
Armin R. Mikler
Marty O’Neill*
Affiliation:
University of North Texas Center for Computational Epidemiology and Response Analysis, Denton, TX
Michael Poole
Affiliation:
Texas Department of State Health Services, Austin, TX
Armin R. Mikler
Affiliation:
University of North Texas Center for Computational Epidemiology and Response Analysis, Denton, TX
*
Correspondence and reprint requests to Marty O’Neill, 1155 Union Circle #310559, Denton, TX76203-5017 (e-mail: [email protected]).
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Abstract

Public health practitioners face challenging, potentially high-consequence, problems that require computational support. Available computational tools may not adequately fit these problems, thus forcing practitioners to rely on qualitative estimates when making critical decisions. Scientists at the Center for Computational Epidemiology and Response Analysis and practitioners from the Texas Department of State Health Services (TXDSHS) have established a participatory development cycle where public health practitioners work closely with academia to foster the development of data-driven solutions for specific public health problems and to translate these solutions to practice. Tools developed through this cycle have been deployed at TXDSHS offices where they have been used to refine and enhance the region’s medical countermeasure distribution and dispensing capabilities. Consequently, TXDSHS practitioners planning for a 49-county region in North Texas have achieved a 29% reduction in the number of points of dispensing required to complete dispensing to the region within time limitations. Further, an entire receiving, staging, and storing site has been removed from regional plans, thus freeing limited resources (eg, personnel, security, and infrastructure) for other uses. In 2018, planners from Southeast Texas began using these tools to plan for a multi-county, full-scale exercise which was scheduled to be conducted in October 2019.

Keywords

data-driven response planningmedical countermeasure dispensingmedical countermeasure distributionparticipatory developmenttranslational public health research
Type
Concepts in Disaster Medicine
Information
Disaster Medicine and Public Health Preparedness , Volume 15 , Issue 2 , April 2021 , pp. 232 - 238
Copyright
Copyright © 2020 Society for Disaster Medicine and Public Health, Inc.

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