A systematic review of mathematical models of the Ebola virus disease. (3rd September 2022)

• Record Type: Journal Article
• Authors: Abdalla, Suliman Jamiel M.; Chirove, Faraimunashe; Govinder, Keshlan S.
• Is Part Of: International journal of modelling & simulation. Volume 42:Number 5(2022)
• Page Start: 814
• Page End: 830
• Publication Date: 2022-09-03
• Subjects: Ebola epidemiology -- Ebola modelling systematic review -- Ebola modelling gaps -- Ebola virus disease models -- mathematical models of Ebola; Mathematical models -- Periodicals; Simulation methods -- Periodicals; Mathematical models; Simulation methods; Periodicals; 003.3
• DOI: 10.1080/02286203.2021.1983745
• Languages: English
• ISSNs: 0228-6203

Abstract

ABSTRACT: Several studies have surveyed the literature of mathematical modelling of the Ebola virus disease (EVD). However, most of these reviews did not report any work published after January 2016. Furthermore, those that have considered such work focused on particular types of models, presented only findings for some models, or included just a few articles published in 2016. Additionally, these reviews did not focus on examining models by systematically identifying advantages and limitations. In light of this, we conduct a systematic review of mathematical models of EVD. We focus on the PubMed publications between January 2016 and December 2018. The objectives of this review are to present an overview of the mathematical modelling literature on EVD, identify gaps, and improve prospective models by addressing current models' constraints. The reported studies are categorised broadly in terms of the modelling approaches, model conclusions and constraints. Crucial modelling gaps are identified, and future research motivated.