%0 Journal Article
%T Markov Chain Model to Explain the Dynamics of Human Depression
%A Souvik Bhattacharya
%J Journal of Nonlinear Dynamics
%D 2014
%R 10.1155/2014/107164
%X Depression is one of the major concerns of the present generation. A Markov chain model has been used to portray and investigate this curse. Long-term behaviour of the model has been discussed. Different types of treatment strategies have been considered in this paper to identify the most powerful measure of keeping this disease from its spread in the society. This paper also focuses on the usefulness of the drugs available at present for the treatment of this disease. 1. Introduction Depression is one of the major diseases which is affecting the present generation. The fast-paced life has posed its own curse on the society. The tensions that come as a supplement to the six-figure salary is unavoidable. This disease is associated with lowered work functioning, including absences, impaired productivity, and decreased job retention. Several manuscripts have been published on this issue to find all possible ways to eliminate this from the society. In one of the articles, [1] the author introduces a Markov chain model which provides a method to deal with various sequence of information. The most common form of depression, known as Major Depressive Disorder (MDD), is modeled and analyzed by the Markov chain model. The author successfully obtained a mean to find the future state of the depression based on the present situation. Some manuscripts deal with the numerical computations on moods and depression [2]. In other articles [3], the author has explained the psychological theories about a unipolar clinical depression through proper representation using a well-designed mathematical model. In this paper, the author took great interest in captivating the dynamics of mood in human or human-like agents. The articles listed above clearly portray the idea that there is a great concern of controlling depression in the present generation. Most of the models could successfully capture the salient features of a person¡¯s state, but it is rather a hard task to explain the long-term behaviour of a person¡¯s state. The daily commotions create disturbances in an individual¡¯s life, which is sufficient in creating a disturbance in his normal state of mind. The effectiveness of these disturbances would determine the probability of drifting an individual towards a depressed state. In order to study the causes behind this depression, the scientists are also taking into concern the dopaminergic and serotonergic synapses in an individual [4, 5]. Experimental studies are also carried out to control this disease. In [6], the author developed a screening instrument for depression
%U http://www.hindawi.com/journals/jndy/2014/107164/