Bivariate Stochastic Simultaneous Differential Equation Model for Heart Failure

Tirupathi Rao Padi

Department of Statistics, Pondicherry University, Puducherry-605014, India.

P. T. Sakkeel *

Department of Statistics, Pondicherry University, Puducherry-605014, India.

V. Kanimozhi

Department of Statistics, Pondicherry University, Puducherry-605014, India.

*Author to whom correspondence should be addressed.


Abstract

Heart failure is one of the significant public health burdens in the world. According to WHO, 2 million people suer heart failure worldwide. In this study, we propose a bivariate stochastic model for heart failure disease progression and recovery process, which helps to understand the underlying mechanisms of the recovery process and suggests strategies to improve the performance of the public health system. Sensitivity analysis is carried out to understand the model behavior. 

Keywords: Heart failure, stochastic modelling, bivariate poisson process, differential equations


How to Cite

Padi, Tirupathi Rao, P. T. Sakkeel, and V. Kanimozhi. 2022. “Bivariate Stochastic Simultaneous Differential Equation Model for Heart Failure”. Asian Journal of Probability and Statistics 19 (1):33-40. https://doi.org/10.9734/ajpas/2022/v19i130461.

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