Prevalence of Diabetes Mellitus in two Vicinal Nations
Richa Gupta1, Deepak Kumar2, Bhawna Mehta3, Y K Sharma4
1Richa Gupta, Mathematics Department, Manav Rachna International Institute of Research and Studies, Faridabad, India.
2Deepak Kumar*, Mathematics Department, Manav Rachna International Institute of Research and Studies, Faridabad, India.
3Bhawna Mehta, Mathematics Department, Manav Rachna International Institute of Research and Studies , Faridabad, India.
4Y K SHrama, Mathematics Department, Manav Rachna University , Faridabad, India
Manuscript received on November 17, 2019. | Revised Manuscript received on 26 November, 2019. | Manuscript published on December 10, 2019. | PP: 747-751 | Volume-9 Issue-2, December 2019. | Retrieval Number: B6852129219/2019©BEIESP | DOI: 10.35940/ijitee.B6852.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Aim:Due to the chronic nature of diabetes mellitus and its dangerous effects on people, it is moving towards epidemic proportions. We proposed this work for evaluating the predictive measure of diabetic population of India, Pakistan and world. In this work diabetic people of age 20-79 years are considered as this age group is suffering more by this disease. The aim of this study is to estimate the prevalence of diabetes in these two nations covering all the regions of the country. Materials and Methods: Mathematical analysis has been done for showing the rapid prevalence of diabetic population of age more that 20 years and less than 79 years. Karl Pearson’s coefficient of Correlation is calculated to find the relativity of prevalence of diabetic people of this age group of both the countries. Regression equations are evaluated to find the various predictive factors for the diabetic populations of countries. Results: The study represented the value of the coefficient of correlation between the diabetic population of India and Pakistan is 0.89, between India and world is 0.77 and between Pakistan and world is 0.98. All these values are positive. Conclusion: The Pearson correlation coefficient test showed that there is a positive and strong correlation between diabetic population (20-79 years age) in both the countries as well as in world. From Regression equation future prediction of increasing number of diabetic patients can be made.
Keywords: Diabetes Mellitus, Prevalence, Correlation technique, Regression, Mathematical Analysis
Scope of the Article: Regression and Prediction