A healthcare facility location problem for a multi-disease, multi-service environment under risk aversion

S. Taymaz, C. Iyigun (Corresponding author), Z.P. Bayindir, N.P. Dellaert

Research output: Contribution to journalArticleAcademicpeer-review

4 Citations (Scopus)

Abstract

This paper presents a stochastic optimisation model for locating walk-in clinics for mobile populations in a network. The walk-in clinics ensure a continuum of care for the mobile population across the network by offering a perpetuation of services along the transportation lines, and also establishing referral systems to local healthcare facilities. The continuum of care requirements for different diseases is modelled using coverage definitions that are designed specifically to reflect the adherence protocols for services for different diseases. The risk of not providing the required care under different realisations of health service demand is considered. In this paper, for a multi-disease, multi-service environment, we propose a model to determine the location of roadside walk-in clinics and their assigned services. The objective is to maximise the total expected weighted coverage of the network subject to a Conditional-Value-at-Risk (CVaR) measure. This paper presents developed coverage definitions, the optimisation model and the computational study carried out on a real-life case in Africa.

Original languageEnglish
Article number100755
Number of pages16
JournalSocio-Economic Planning Sciences
Volume71
DOIs
Publication statusPublished - Sep 2020

Keywords

  • Conditional-value-at-risk
  • Continuum of care
  • Facility location with coverage
  • Humanitarian logistics
  • Stochastic programming

Fingerprint Dive into the research topics of 'A healthcare facility location problem for a multi-disease, multi-service environment under risk aversion'. Together they form a unique fingerprint.

Cite this