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

Viewed

Total article views: 2,036 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,372 601 63 2,036 156 49 39
  • HTML: 1,372
  • PDF: 601
  • XML: 63
  • Total: 2,036
  • Supplement: 156
  • BibTeX: 49
  • EndNote: 39
Views and downloads (calculated since 04 Feb 2021)
Cumulative views and downloads (calculated since 04 Feb 2021)

Viewed (geographical distribution)

Total article views: 2,036 (including HTML, PDF, and XML) Thereof 1,943 with geography defined and 93 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 17 Jul 2024
Download
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.
Altmetrics
Final-revised paper
Preprint