Towards understanding suicide dynamics in Ghana; Modelling and optimal control application

Suicide is considered a major public health concern, with an estimated 800,000 deaths each year globally. Understanding the dynamics of suicide and identifying effective prevention strategies is paramount. The most common factors responsible for suicidal thoughts are financial challenges, relationship issues, hopelessness, low self-esteem, depression, peer pressure, academic challenges, and parental problems. In this study, we considered suicide as an infection since it is contagious and can be transmitted from one person to the other directly or indirectly. A compartmental modelling approach was employed to help explain the dynamics of this phenomenon with possible strategies to combat this global health challenge. Suicide-free, suicide-endemic equilibrium points and their stability were determined. We extended the suicide model to optimal control using the following variables; education (sensitisation), counselling couples before marriage, and social intervention programmes. It was established that, the best optimal strategy for suicide control is sensitisation and counselling of susceptible population. Numerical simulation was conducted and it confirm the theoretical results. Suicide model has a considerable potential applications to the fight against suicide in Ghana. Policymakers should sensitise the general public on suicide awareness and how to manage financial and marriage related suicides in the country. Religious leaders and organisations should stress the need for counselling before marriage.

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Publication Details

Journal
Partial Differential Equations in Applied Mathematics
Published
2025-04-26
DOI
https://doi.org/10.1016/j.padiff.2025.101187
Citations
1
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
1.37
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article

Towards understanding suicide dynamics in Ghana; Modelling and optimal control application

C. W. Chukwu, Hesham Osman, Oluwole Daniel Makinde, Shaibu Osman et al.
1 citations
Partial Differential Equations in Applied Mathematics
COVID-19 epidemiological studies
1.37
article

Towards understanding suicide dynamics in Ghana; Modelling and optimal control application

C. W. Chukwu, Hesham Osman, Oluwole Daniel Makinde, Shaibu Osman, Hailay Weldergiorgis Berhe, Teklebirhan Abraha Gebrehiwot, Otoo Dominic, Lema Logamou Seknewna, Abadi Abay
article en
1 citations

Abstract

Suicide is considered a major public health concern, with an estimated 800,000 deaths each year globally. Understanding the dynamics of suicide and identifying effective prevention strategies is paramount. The most common factors responsible for suicidal thoughts are financial challenges, relationship issues, hopelessness, low self-esteem, depression, peer pressure, academic challenges, and parental problems. In this study, we considered suicide as an infection since it is contagious and can be transmitted from one person to the other directly or indirectly. A compartmental modelling approach was employed to help explain the dynamics of this phenomenon with possible strategies to combat this global health challenge. Suicide-free, suicide-endemic equilibrium points and their stability were determined. We extended the suicide model to optimal control using the following variables; education (sensitisation), counselling couples before marriage, and social intervention programmes. It was established that, the best optimal strategy for suicide control is sensitisation and counselling of susceptible population. Numerical simulation was conducted and it confirm the theoretical results. Suicide model has a considerable potential applications to the fight against suicide in Ghana. Policymakers should sensitise the general public on suicide awareness and how to manage financial and marriage related suicides in the country. Religious leaders and organisations should stress the need for counselling before marriage.

Partial Differential Equations in Applied MathematicsVol. 14
University of Health and Allied Sciences (GH), Stellenbosch University (ZA), University of Energy and Natural Resources (GH), African Institute for Mathematical Sciences (RW), Mekelle University (ET), Aksum University (ET)
Gender equality
Openalex Percentile: Top 23%
COVID-19 epidemiological studies
1.37
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