3.9 Article

The dynamics of Nipah virus (NiV) transmission and analy- sis

Journal

JOURNAL OF MATHEMATICS AND COMPUTER SCIENCE-JMCS
Volume 31, Issue 4, Pages 367-391

Publisher

INT SCIENTIFIC RESEARCH PUBLICATIONS
DOI: 10.22436/jmcs.031.04.03

Keywords

Nipah virus; vaccination; condom; isolation; asymptomatic

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We proposed a model to investigate the transmission of NiV from pigs to humans and humans to humans. The study focused on the impact of a combination vaccine and condom use as control measures. The model's basic characteristics were derived in a biologically realistic setting, and the basic reproduction number was determined to analyze the local and global behavior of the model's equilibria. Vaccination and condom use were found to effectively reduce the spread of Nipah virus, and asymptomatic carriers were identified as the most infectious individuals to target. Numerical simulations were conducted to verify the findings.
We propose a model for NiV infection mechanisms from pigs to humans and humans to humans, with a focus on the impact of a combination vaccine, and condom as a control measure. In a biologically realistic setting, we derived the basic characteristics of our suggested model, such as boundedness and positivity. We determined the basic reproduction number to investigate both the local and global behavior of the model's various equilibria. When the reproductive number is less than one, the disease-free state of Nipah virus is locally asymptotically stable, but unstable when it is higher than one. We established that the endemic equilibrium is locally asymptotically stable near unity using central manifold theory. Nipah virus free equilibrium is stable on the global stability scale, and endemic equilibrium is asymptotically stable. We determine that vaccination and condom are effective ways for reducing Nipah virus spread. In addition, Nipah virus carriers (asymptomatic) are identified as the most infectious individuals who should be targeted by the model. Finally, numerical simulations are used to verify the efficacy of the provided findings.

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