Salisu Usaini
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Salisu Usaini has a total of 16 co-authors. Here are the top co-authors by number of shared publications:
- Salihu Sabiu Musa
Department of Mathematics, Institute for Health Computing, University of Maryland, North Bethesda, MD, USA
2 shared publications A. S. Hassan
Department of Mathematics and Applied Mathematics, University of Pretoria, Pretoria 0002, South Africa
1 shared publication- Abdullahi M. Auwal1 shared publication
Adamu Shitu Hassan
Department of Mathematical Sciences Bayero University 3011 Kano P.M.B Nigeria
1 shared publication- Chanakarn Kiataramkul
Intelligent and Nonlinear Dynamic Innovations Research Center, Department of Mathematics, Faculty of Applied Science, King Mongkut’s University of Technology North Bangkok, Bangkok 10800, Thailand
1 shared publication Daihai He
1 shared publication
Latest Publications
- Open Access
- 15 May 2025
- Published by Elsevier in Franklin Open
- Vol. 11
Mathematical analysis of Lassa fever epidemic model utilizing Nigeria demographic data
- 15 May 2025
- Published by Elsevier in Franklin Open
- Vol. 11
Open AccessMathematical analysis of Lassa fever epidemic model utilizing Nigeria demographic data
- Open Access
- 4 April 2025
- Published by MDPI AG in Mathematics
- Vol. 13 (7) , 1189
Dynamics of the Diphtheria Epidemic in Nigeria: Insights from the Kano State Outbreak Data
Diphtheria is a severely infectious and deadly bacterial disease with Corynebacterium diphtheriae as the causative agent. Since the COVID-19 pandemic, contagious diseases such as diphtheria have re-emerged due to disruptions in routine childhood immunization programs worldwide. Nigeria is witnessing a significant increase in diphtheria outbreaks likely due to an inadequate health care system and insufficient public enlightenment campaign. This paper presents a mathematical epidemic diphtheria model in Nigeria, which includes a public enlightenment campaign to assess its positive impact on the prevalence of the disease. The mathematical analysis of the model reveals two equilibrium points: the diphtheria infection-free equilibrium and the endemic equilibrium. These equilibrium points are shown to be stable globally asymptotically if and , respectively. The model was fit using the confirmed diphtheria cases data of Kano State from January to December 2023. Sensitivity analysis indicates that the transmission rate and recovery rate of asymptomatic peopleare crucial parameters to be considered in developing effective strategies for diphtheria control and prevention. This analysis also reveals that the implementation of a high-level public enlightenment campaign and its high efficacy effectively reduce the prevalence of diphtheria. Finally, numerical simulations show that combining the public enlightenment campaign and isolating infected individuals is the best strategy to contain the spread of diphtheria.- 4 April 2025
- Published by MDPI AG in Mathematics
- Vol. 13 (7) , 1189
Open AccessDynamics of the Diphtheria Epidemic in Nigeria: Insights from the Kano State Outbreak Data
Diphtheria is a severely infectious and deadly bacterial disease with Corynebacterium diphtheriae as the causative agent. Since the COVID-19 pandemic, contagious diseases such as diphtheria have re-emerged due to disruptions in routine childhood immunization programs worldwide. Nigeria is witnessing a significant increase in diphtheria outbreaks likely due to an inadequate health care system and insufficient public enlightenment campaign. This paper presents a mathematical epidemic diphtheria model in Nigeria, which includes a public enlightenment campaign to assess its positive impact on the prevalence of the disease. The mathematical analysis of the model reveals two equilibrium points: the diphtheria infection-free equilibrium and the endemic equilibrium. These equilibrium points are shown to be stable globally asymptotically if and , respectively. The model was fit using the confirmed diphtheria cases data of Kano State from January to December 2023. Sensitivity analysis indicates that the transmission rate and recovery rate of asymptomatic peopleare crucial parameters to be considered in developing effective strategies for diphtheria control and prevention. This analysis also reveals that the implementation of a high-level public enlightenment campaign and its high efficacy effectively reduce the prevalence of diphtheria. Finally, numerical simulations show that combining the public enlightenment campaign and isolating infected individuals is the best strategy to contain the spread of diphtheria. - Open Access
- 8 February 2024
- Published by Science Publishing Corporation in International Journal of Applied Mathematical Research
- Vol. 13 (1) , 1-11
Mathematical modelling and analysis of Kidnapping dynamics
The problem of kidnapping as a social menace to a society is increasing in some African countries such as Nigeria. We therefore proposed a new deterministic mathematical model for the dynamics of Kidnapping in a community. This menace is considered like a two strains communicable disease with kidnapping propagation mission by kidnappers as one strain and adoption mission for kidnapped victims as the other strain to assess the impact of super-infection. The model exhibits four equilibrium points each of which is unique and asymptotically stable both locally and globally under certain conditions. We obtain the kidnapping propagation number where is the propagation number associated with strain . Another important threshold parameters associated with respective strains 1 and 2 are and . Indeed, we show that at most one strain invades the population if one of these parameters is less than unity. while the two strains coexist at endemic state when both and are greater than unity. The global stability results of the model equilibria are established by numerical simulations. This simulations results indicate that the super-infection destabilizes the coexistence equilibrium.
- 8 February 2024
- Published by Science Publishing Corporation in International Journal of Applied Mathematical Research
- Vol. 13 (1) , 1-11
Open AccessMathematical modelling and analysis of Kidnapping dynamics
The problem of kidnapping as a social menace to a society is increasing in some African countries such as Nigeria. We therefore proposed a new deterministic mathematical model for the dynamics of Kidnapping in a community. This menace is considered like a two strains communicable disease with kidnapping propagation mission by kidnappers as one strain and adoption mission for kidnapped victims as the other strain to assess the impact of super-infection. The model exhibits four equilibrium points each of which is unique and asymptotically stable both locally and globally under certain conditions. We obtain the kidnapping propagation number where is the propagation number associated with strain . Another important threshold parameters associated with respective strains 1 and 2 are and . Indeed, we show that at most one strain invades the population if one of these parameters is less than unity. while the two strains coexist at endemic state when both and are greater than unity. The global stability results of the model equilibria are established by numerical simulations. This simulations results indicate that the super-infection destabilizes the coexistence equilibrium.
- Open Access
- 1 May 2021
- Published by Elsevier in Results in Applied Mathematics
- Vol. 10
Dynamics analysis of typhoid fever with public health education programs and final epidemic size relation
- 1 May 2021
- Published by Elsevier in Results in Applied Mathematics
- Vol. 10
Open AccessDynamics analysis of typhoid fever with public health education programs and final epidemic size relation
- Open Access
- 1 March 2020
- Published by Mathematical Association of Nigeria in Nigerian Journal of Mathematics and Applications
- Vol. 30 (1) , 30-45
On the dynamics of hepatitis B virus disease
Hepatitis B is a serious liver infection caused by hepatitis B virus (HBV). In this paper, we review the deterministic model of HBV proposed by Emerenini and Inyama in 2018 to carry out a rigorous mathematical analysis. The analysis of the model reveals that an endemic equilibrium exists in addition to the disease free equilibrium (DFE) point. The vaccinated reproduction number, Rv is derived and revealed that if Rv < 1, the DFE is locally asymptotically stable and is unstable when Rv > 1, while the endemic equilibrium point (EEP) is the only asymptotic stable equilibrium point when Rv > 1. The global asymptotic stability of both the disease free equilibrium and endemic equilibrium points are proved using Lyapunov function in conjunction with LaSalles’ Invariance Principle. Furthermore, we obtain the minimum value of the fraction of newborn babies required to be vaccinated for effective disease control.
- 1 March 2020
- Published by Mathematical Association of Nigeria in Nigerian Journal of Mathematics and Applications
- Vol. 30 (1) , 30-45
Open AccessOn the dynamics of hepatitis B virus disease
Hepatitis B is a serious liver infection caused by hepatitis B virus (HBV). In this paper, we review the deterministic model of HBV proposed by Emerenini and Inyama in 2018 to carry out a rigorous mathematical analysis. The analysis of the model reveals that an endemic equilibrium exists in addition to the disease free equilibrium (DFE) point. The vaccinated reproduction number, Rv is derived and revealed that if Rv < 1, the DFE is locally asymptotically stable and is unstable when Rv > 1, while the endemic equilibrium point (EEP) is the only asymptotic stable equilibrium point when Rv > 1. The global asymptotic stability of both the disease free equilibrium and endemic equilibrium points are proved using Lyapunov function in conjunction with LaSalles’ Invariance Principle. Furthermore, we obtain the minimum value of the fraction of newborn babies required to be vaccinated for effective disease control.
- 18 August 2019
- Published by Taru Publications in Journal of Interdisciplinary Mathematics
- Vol. 22 (6) , 903-930
Modeling the transmission dynamics of the Middle East Respiratory Syndrome Coronavirus (MERS-CoV) with latent immigrants
A new deterministic mathematical model for the transmission dynamics of Middle East Respiratory Syndrome Coronavirus (MERS-CoV) is proposed and fully analyzed. The presented model exhibits a unique endemic equilibrium and there is no infection free equilibrium due to constant influx of latent immigrants. An invasion threshold parameter is derived and stability analysis of the full model and its two special cases is carried out. The impact of quarantine and isolation is assessed via threshold analysis approach, while the impact of immigration on the disease prevalence is discussed. Indeed, we showed that MERS-CoV can be controlled by quick isolation or monitoring close contacts and quarantining of suspected latent immigrants. Further, numerical simulations of the model reveal that the disease can be contained if these preventive measures are combined with high reduction of immigration rate.
- 18 August 2019
- Published by Taru Publications in Journal of Interdisciplinary Mathematics
- Vol. 22 (6) , 903-930
Modeling the transmission dynamics of the Middle East Respiratory Syndrome Coronavirus (MERS-CoV) with latent immigrants
A new deterministic mathematical model for the transmission dynamics of Middle East Respiratory Syndrome Coronavirus (MERS-CoV) is proposed and fully analyzed. The presented model exhibits a unique endemic equilibrium and there is no infection free equilibrium due to constant influx of latent immigrants. An invasion threshold parameter is derived and stability analysis of the full model and its two special cases is carried out. The impact of quarantine and isolation is assessed via threshold analysis approach, while the impact of immigration on the disease prevalence is discussed. Indeed, we showed that MERS-CoV can be controlled by quick isolation or monitoring close contacts and quarantining of suspected latent immigrants. Further, numerical simulations of the model reveal that the disease can be contained if these preventive measures are combined with high reduction of immigration rate.
- 10 April 2018
- Published by Wiley in Mathematical Methods in the Applied Sciences
- Vol. 41 (18) , 8603-8612
Modelling scholastic underachievement as a contagious disease
Some factors related to students behaviour are perceived to be important for academic failure. Such of these factors and some other factors contribute immensely to the problem of scholastic underachievement that is spreading among students of Kano University of Science and Technology, Wudil‐Nigeria. Considering such a problem as a contagious disease, we propose a mathematical model to study how this problem is spread in Kano University of Science and Technology, Wudil campus. The model analysis reveals that the reproduction numbers are sufficient to predict whether the problem can persist in the campus environment. Indeed, endemic persistence occurs if the pattern of recruiting new members is through both transition and progression. The sensitivity analysis of the parameters of the model threshold quantities shows that reducing the rates of recruiting new students to weak class through both transition and progression is an effective measure of containing the problem.
- 10 April 2018
- Published by Wiley in Mathematical Methods in the Applied Sciences
- Vol. 41 (18) , 8603-8612
Modelling scholastic underachievement as a contagious disease
Some factors related to students behaviour are perceived to be important for academic failure. Such of these factors and some other factors contribute immensely to the problem of scholastic underachievement that is spreading among students of Kano University of Science and Technology, Wudil‐Nigeria. Considering such a problem as a contagious disease, we propose a mathematical model to study how this problem is spread in Kano University of Science and Technology, Wudil campus. The model analysis reveals that the reproduction numbers are sufficient to predict whether the problem can persist in the campus environment. Indeed, endemic persistence occurs if the pattern of recruiting new members is through both transition and progression. The sensitivity analysis of the parameters of the model threshold quantities shows that reducing the rates of recruiting new students to weak class through both transition and progression is an effective measure of containing the problem.