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Original Article | Open Access

A generalized multi-population model for Ebola virus transmission incorporating environmental reservoir dynamics

Muhammad Farhan Hakeema, Shajar Abbasb( ), Imran Siddiquec,d, Ilyas Khane,f,g,h, Mohsen Bakourii( ), Rashid Janj, Rakhmonjon Akhmadjonovk, Rasul Turaevl
School of Computer Science and Technology, North University of China, Taiyuan 030051, China
Department of Computer Engineering, Biruni University, Istanbul 34010, Turkey
Department of Mathematics, University of Sargodha, Sargodha 40100, Pakistan
Center for Theoretical Physics, Khazar University, Baku, AZ1096, Azerbaijan
Department of Mathematical Sciences, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, India
Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman 19328, Jordan
Széchenyi István University, Győr 9026, Hungary
Department of Mathematics, College of Science Al-Zulfi, Majmaah University, Al-Majmaah 11952, Saudi Arabia
Department of Medical Equipment Technology, College of Applied Medical Science, Majmaah University, Al-Majmaah 11952, Saudi Arabia
Department of Mathematics, College of Science, Qassim University, Buraydah 51452, Saudi Arabia
School of Exact Sciences, National Pedagogical University of Uzbekistan named after Nizami, Tashkent 100185, Uzbekistan
Department of Exact and Natural Sciences, Termez State University of Engineering and Agrotechnologies, Termez 190100, Uzbekistan
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Highlights

• A generalized multi-population model for Ebola transmission.

• Incorporates environmental viral reservoir dynamics.

• Captures cross-population transmission pathways.

• Includes hospitalization and infectious corpse effects.

• Supports analysis of threshold and long-term dynamics.

Abstract

Background

Ebola virus disease (EVD) remains a serious public health hazard due to high mortality, multiple modes of transmission, and persistence in the environment. The existing Ebola transmission models have been constrained to a single or two-population framework, which are insufficient to capture multiple-population interaction transmission structures.

Methods

This study proposes a multi-population autonomous Ebola transmission model with Susceptible, Exposed, Infectious, Hospitalized, Recovered, and Deceased infected corpse compartments and a shared viral reservoir in the environment. This model proposes that transmission is direct, hospital-acquired, corpse-mediated, and indirect environmental, and these modes are documented by a bilinear incidence formulation.

Results

Positivity and boundedness properties of solutions were established via a mathematical analysis, and the basic reproduction number was derived using the next-generation matrix approach. The analytical findings show that whereas supercritical transmission results in persistent behaviour and the occurrence of endemic equilibria under the suggested parameters, the disease-free equilibrium is stable under the subcritical transmission condition.

Conclusions

The numerical simulations support the applicability of the suggested multi-population paradigm for comprehending threshold-dependent Ebola transmission behaviour and show its qualitative dynamics under various transmission conditions.

Graphical Abstract

Electronic Supplementary Material

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imj-5-3-100278_ESM.docx (131.2 KB)

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Infectious Medicine

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Cite this article:
Hakeem MF, Abbas S, Siddique I, et al. A generalized multi-population model for Ebola virus transmission incorporating environmental reservoir dynamics. Infectious Medicine, 2026, 5(3). https://doi.org/10.1016/j.imj.2026.100278

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Received: 26 March 2026
Revised: 20 May 2026
Accepted: 01 July 2026
Published: 01 September 2026
© 2026 The Author(s).

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)