IDEAS home Printed from https://ideas.repec.org/a/adm/journl/v3y2014i7p51-63.html
   My bibliography  Save this article

Modeling Domestic Violence and Predicting its Growth using Differential Equations. A Case Study of Women and Children in Tamale

Author

Listed:
  • Abdul-Rahaman Haadi
  • Abdul-Karim Abdul-Razak

Abstract

The paper focused on analytic and numerical modeling of Domestic Violence. In the case of the analytic modeling, this paper discusses a simple continuous model for the spread of Domestic Violence, using Ordinary Differential Equations. A mathematical model is inspired from the spread of Domestic Violence in Tamale Metropolitan in which the interaction of the widespread is likely to be minimized. A modeling technique Abusive, Susceptible and Violence Victims (ASV), similar to the Susceptible, Infectious and Recovered (SIR) model in Epidemics, is used for formulating the spread of Domestic Violence as a system of Differential Equations. Hence the population of three distinct classes- the Abusive, Susceptible/Unreported Victims, and the Reported Victims, are considered in the model. The system of Differential Equations is analyzed by linearization of nonlinear systems and non-dimensionlization, and to predict the behavior of the spread of the Domestic Violence. Finally, in the case of the numerical analysis, a general model for the population of Domestic Violence Victims is constructed. The present model shows that the given data is reasonably Logistic. Moreover, this model shows that the population of Domestic Violence Victims is limited. A projected limiting number is given by this model. Some typical mathematical models are introduced such as Exponential model and logistic model. The solutions of those models are analyzed.

Suggested Citation

  • Abdul-Rahaman Haadi & Abdul-Karim Abdul-Razak, 2014. "Modeling Domestic Violence and Predicting its Growth using Differential Equations. A Case Study of Women and Children in Tamale," International Journal of Sciences, Office ijSciences, vol. 3(07), pages 51-63, July.
  • Handle: RePEc:adm:journl:v:3:y:2014:i:7:p:51-63
    as

    Download full text from publisher

    File URL: https://www.ijsciences.com/pub/article/525
    Download Restriction: no

    File URL: https://www.ijsciences.com/pub/pdf/V320140716.pdf
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:adm:journl:v:3:y:2014:i:7:p:51-63. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Staff ijSciences (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.