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Nita H. Shah

Publications (5)

Simulation Study of H1N1 Transmission through Immigrants and Vaccination

Nita H. Shah, Nehal Shukla, Foram Thakkar & Moksha Satia · Journal of Advances in Mathematics and Computer Science · 2020

H1N1 influenza, is a disease caused by the Type A strain of negative-sense single stranded RNA virus which has unique characteristics of reassortment making it different and difficult to control. Due to the unique nature of the virus, the constant globalization of the internation...

Open access Research Article 10.9734/jamcs/2020/v35i530285

Vertical Transmission of Hepatitis-C Virus (HCV) with Optimal Control on Treatment Expenses

Nita H. Shah, Bijal M. Yeolekar & Nehal J. Shukla · Asian Research Journal of Mathematics · 2018

The hepatitis C virus infects the liver which does not display an early symptom. As such an infected individual recognize these infections only at the later stage. Around the globe, many individuals suffer from HCV. In this study, we developed a transmission of HCV with five comp...

Open access Research Article 10.9734/ARJOM/2018/39116

Mathematical Analysis of Optimal Control Theory on Underweight

Nita H. Shah, Foram A. Thakkar & Bijal M. Yeolekar · Advances in Research · 2017

To achieve increase in the number of healthy people in the society, proper information and understanding about health care issues is required. This will bring about improvement and betterment of the health of the population, especially to the girls and women of the society who ar...

Open access Research Article 10.9734/AIR/2016/30992

Deterministic Mathematical Model for Dynamics of Water Borne Diseases

Nita H. Shah & Jyoti Gupta · Advances in Research · 2014

In this study a mathematical model is formulated using ordinary differential equations in order to understand the population dynamics of water borne diseases. The entire population is divided into five compartments depending upon their status. These compartments are – susceptible...

Open access Research Article 10.9734/AIR/2014/10935

Joint Optimal Policy for Variable Deteriorating Inventory System of Vendor-Buyer Ordering with Trapezoidal Demand

Nita H. Shah & Digeshkumar B. Shah · Current Journal of Applied Science and Technology · 2013

A joint optimal policy for the vendor and the buyer is analyzed when units in inventory are subject to deterioration and demand is trapezoidal. It is shown numerically that the joint venture reduces the total joint cost significantly when compared with the independent decision of...

Open access Research Article 10.9734/BJAST/2014/2222