International Journal of Pure and Applied Science Published by Cambridge Research and Publications IJPAS ISSN-1743-6264 (Print) 1 Vol. 9 No.1 June, 2017. VULNERABILITY OF POOR DATA REPORTING IN THE DESIGN OF GLUCOSE- INSULIN DIABETICS U. C. AMADI & E. N. EKAKA-A Department of Mathematics, Rivers State University of Science and Technology, Port Harcourt,Nkpolu, Nigeria. Abstract Despite the significance of designing a bio-medical database for glucose- insulin case in the Niger Delta region of Nigeria, the problem of poor data reporting remains to be a concern. It is against this background that we have proposed to implement a computational approach that will provide an insight into this biomedical challenging problem. The novel contribution of this idea which we have not seen elsewhere is fully presented and discussed in this paper. Key words: modeling, vulnerability, poor data reporting, glucose- insulin diabetics, random noise, numerical simulation. Introduction It is a common knowledge to mention that the mathematical models and their relevant numerical software techniques for the glucose-insulin regulatory system and diabetes is a growing aspect of mathematical modeling and numerical simulation (Makroglou et al (2006), Bergman (1980 and 2002), Bolie (1961), Derouch and Boutayeb (2002), Godsland (2003) and De Gaetano & Arino (2000)). Review of insulin secretion oscillation models (Keener and Sneyder (1998), Sturris et al (1991), Toffoloet al (1980), Engelborghs et al (2001), Bennett and Gourley (2004), Li, Kuang and Li (2001) and Bertram et al (2004). Other related models include Pacini and Cobelli (1990), Toffoloet al (1980), Marchesiniet al (1990) and Piccardo et al (1994). Nucci and Cobelli