Epidemiological Models to Predict Infection Epidemic: A Literature Review

Fatemeh Mirsaeedi (), Mohammad Sheikhalishahi (), Mehrdad Mohammadi () and Dmitry Ivanov ()
Additional contact information
Fatemeh Mirsaeedi: University of Tehran
Mohammad Sheikhalishahi: University of Tehran
Mehrdad Mohammadi: Eindhoven University of Technology
Dmitry Ivanov: Berlin School of Economics and Law

A chapter in Handbook of Ripple Effects in the Supply Chain, 2025, pp 249-330 from Springer

Abstract: Abstract This chapter provides an in-depth review of the epidemiological models utilized for predicting and managing epidemic infectious diseases, with a particular emphasis on Susceptible-Infected-Recovered (SIR) models and their various facets. The objectives of this review are threefold: (1) the assumptions, equations, and methodologies for estimating critical parameters within these models are evaluated; (2) the challenges associated with implementing disease control interventions, including both medical and non-medical strategies, and their integration into the models are explored; and (3) relation of SIR models and optimization models are investigated. Additionally, a systematic review at the micro-level has identified significant research gaps within the existing literature, leading to recommendations for future research directions. One of the most important findings is that many assumptions need to be reviewed to be better aligned with real conditions, which should hopefully stimulate some useful inquiries into how to model epidemic diseases.

Keywords: Health services; Epidemiological model; SIR model; Epidemic disease; Control interventions (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-3-031-85508-5_12

Ordering information: This item can be ordered from
http://www.springer.com/9783031855085

DOI: 10.1007/978-3-031-85508-5_12

Access Statistics for this chapter

More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().