Infectious disease outbreaks occurred many times in the past and are more likely to happen in the future. In this paper the problem of allocating and scheduling limited multiple, identical or non-identical, resources employed in parallel, when there are several infected areas, is considered. A heuristic algorithm, based on Shih's (1974) and Pappis and Rachaniotis' (2010) algorithms, is proposed as the solution methodology. A numerical example implementing the proposed methodology in the context of a specific disease outbreak, namely influenza, is presented. The proposed methodology could be of significant value to those drafting contingency plans and healthcare policy agendas.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7104597PMC
http://dx.doi.org/10.1007/s11518-016-5327-zDOI Listing

Publication Analysis

Top Keywords

infectious disease
8
disease outbreaks
8
proposed methodology
8
controlling infectious
4
outbreaks deterministic
4
deterministic allocation-scheduling
4
allocation-scheduling model
4
model multiple
4
multiple discrete
4
discrete resources
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!