Articles | Volume 21, issue 12
https://doi.org/10.5194/nhess-21-3843-2021
https://doi.org/10.5194/nhess-21-3843-2021
Research article
 | 
21 Dec 2021
Research article |  | 21 Dec 2021

A simulation–optimization framework for post-disaster allocation of mental health resources

Stephen Cunningham, Steven Schuldt, Christopher Chini, and Justin Delorit

Data sets

CDC/ATSDR Social Vulnerability Index 2016 Database Louisiana CDC/ATSDR Social Vulnerability Index Database https://www.atsdr.cdc.gov/placeandhealth/svi/data_documentation_download.html

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Short summary
The severity of disaster-induced mental health illness outcomes varies based on factors such as socioeconomic standing, age, and degree of exposure. This research proposes a resource allocation framework allowing decision-makers the capability to assess the capacity and scalability of early, intermediate, and long-term mental health treatment and recovery. Ultimately, this framework can inform policy and operational decisions based on community needs and constrained resources post-disaster.
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