Dynamical Analysis of Nipah Virus Transmission Model

Authors

  • Binti Mualifatul Rosydah Department of Mathematics, Universitas Brawijaya, Jalan Veteran, Malang, East Java 65145, Indonesia
  • Marsudi Department of Mathematics, Universitas Brawijaya, Jalan Veteran, Malang, East Java 65145, Indonesia
  • Wuryansari Muharini Kusumawinahyu Department of Mathematics, Universitas Brawijaya, Jalan Veteran, Malang, East Java 65145, Indonesia
  • Nur Shofianah Department of Mathematics, Universitas Brawijaya, Jalan Veteran, Malang, East Java 65145, Indonesia

Keywords:

Nipah virus, equilibrium point, basic reproduction number, stability analysis, numerical simulation.

Abstract

Nipah virus can be transmitted from animals to humans through contaminated food or direct human-to human contact. In this paper, we formulate and analyze an SEIRD model to describe the transmission dynamics of the Nipah virus by incorporating two significant factors: unprotected contact with the corpses of Nipah virus–infected individuals prior to burial and the incubation period during transmission. The SEIRD model partitions the total human population into five compartments: susceptible (S), exposed (E), infectious (I), recovered (R), and deceased (D). Two equilibrium points are identified in the system, namely the disease-free equilibrium (DFE) and the endemic equilibrium (EE). The basic reproduction number R0, is derived using the next-generation matrix method. Stability analysis reveals that the DFE is locally asymptotically stable when R0 < 1, indicating disease eradication, whereas the EE is locally asymptotically stable when R0 > 1, signifying the persistence of the disease within the population. Furthermore, numerical simulations are carried out to illustrate the analytical findings and to investigate the influence of key epidemiological parameters on disease transmission. The results provide new insights into the role of unprotected contact with corpses and incubation delays in Nipah virus dynamics, offering valuable guidance for the development of more effective prevention and control strategies.

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Published

2026-06-10

How to Cite

Dynamical Analysis of Nipah Virus Transmission Model. (2026). Journal of Prime Research in Mathematics, 22(2), 1-17. https://jprm.sms.edu.pk/index.php/jprm/article/view/525