Mathematical analysis of Lassa fever epidemic model utilizing Nigeria demographic data

In this paper, we proposed and analysed a non-linear deterministic mathematical model for the transmission dynamics of Lassa fever virus in Nigeria. The basic properties of the model are presented. For the linear stability of the model equilibria the basic reproduction number R 0 and other important threshold parameters associated with existence and stability of endemic state are obtained. We showed that the model exhibits two equilibrium points namely: the Lassa fever-free equilibrium point and the endemic equilibrium point. The Lassa fever-free equilibrium Σ ˜ is the only local asymptotic stable equilibrium if the threshold parameter in relation to humans, R 0 h < 1 and it is not stable when R 0 h > 1 . While the endemic equilibrium point Σ ∗ becomes asymptotically stable locally under certain conditions on the associated threshold parameters. Sensitivity analysis of the model parameters indicates that the natural mortality rate of rodents ( ψ ) and the effective contact rate of rodents ( β 3 )are the basic control parameters associated with persistence or eradication of Lassa fever virus. More precisely, there is an inverse relationship between R 0 and ψ so that an increase of the latter leads to the decrease of the former one and vice-versa. In a similar note, increasing (decreasing) the value of β 3 keeping all other parameters fixed increases (decreases) the value of R 0 . We can infer from this result that good environmental sanitation and fumigation would reduce rodents’ population thereby reducing the value of β 3 which leads to the decrease of R 0 .

Authors

Institutions

Publication Details

Journal
Franklin Open
Published
2025-05-15
DOI
https://doi.org/10.1016/j.fraope.2025.100276
Citations
1
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
1.37
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mathematical analysis of Lassa fever epidemic model utilizing Nigeria demographic data

Abdullahi Auwal, Salisu Usaini
1 citations
Franklin Open
COVID-19 epidemiological studies
1.37
article

Mathematical analysis of Lassa fever epidemic model utilizing Nigeria demographic data

Abdullahi Auwal, Salisu Usaini
article en
1 citations

Abstract

In this paper, we proposed and analysed a non-linear deterministic mathematical model for the transmission dynamics of Lassa fever virus in Nigeria. The basic properties of the model are presented. For the linear stability of the model equilibria the basic reproduction number R 0 and other important threshold parameters associated with existence and stability of endemic state are obtained. We showed that the model exhibits two equilibrium points namely: the Lassa fever-free equilibrium point and the endemic equilibrium point. The Lassa fever-free equilibrium Σ ˜ is the only local asymptotic stable equilibrium if the threshold parameter in relation to humans, R 0 h < 1 and it is not stable when R 0 h > 1 . While the endemic equilibrium point Σ ∗ becomes asymptotically stable locally under certain conditions on the associated threshold parameters. Sensitivity analysis of the model parameters indicates that the natural mortality rate of rodents ( ψ ) and the effective contact rate of rodents ( β 3 )are the basic control parameters associated with persistence or eradication of Lassa fever virus. More precisely, there is an inverse relationship between R 0 and ψ so that an increase of the latter leads to the decrease of the former one and vice-versa. In a similar note, increasing (decreasing) the value of β 3 keeping all other parameters fixed increases (decreases) the value of R 0 . We can infer from this result that good environmental sanitation and fumigation would reduce rodents’ population thereby reducing the value of β 3 which leads to the decrease of R 0 .

Franklin OpenVol. 11
Sa'adu Zungur University (NG), The Federal Polytechnic, Ado-Ekiti (NG), Kano State University of Technology (NG)
Good health and well-being
Openalex Percentile: Top 22%
COVID-19 epidemiological studies
1.37
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.