 A deterministic resource scheduling model in epidemic control: A case studyNikolaos Rachaniotis (), Tom K. Dasaklis and Costas P. Pappis European Journal of Operational Research, 2012, vol. 216, issue 1, 225-231 Abstract: The resources available to tackle an epidemic infection are usually limited, while the time and effort required to control it are increasing functions of the starting time of the containment effort. The problem of scheduling limited available resources, when there are several areas where the population is infected, is considered. A deterministic model, appropriate for large populations, where random interactions can be averaged out, is used for the epidemic’s rate of spread. The problem is tackled using the concept of deteriorating jobs, i.e. the model represents increasing loss rate as more susceptibles become infected, and increasing time and effort needed for the epidemic’s containment. A case study for a proposed application of the model in the case of the mass vaccination against A(H1N1)v influenza in the Attica region, Greece and a comparative study of the model’s performance vs. the applied random practice are presented. Keywords: Scheduling; Disaster management; Deteriorating jobs; Case study (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:216:y:2012:i:1:p:225-231 DOI: 10.1016/j.ejor.2011.07.009 Access Statistics for this article European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati More articles in European Journal of Operational Research from Elsevier |
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