Journal of Public Health and Epidemiology
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Article Number - DE4D0AF63797


Vol.9(5), pp. 145-150 , May 2017
DOI: 10.5897/JPHE2016.0867
ISSN: 2141-2316



Full Length Research Paper

Modeling health status using the logarithmic biophysical modulator



Azizur Rahman
  • Azizur Rahman
  • School of Computing and Mathematics, Charles Sturt University, Wagga Wagga, New South Wales, Australia
  • Google Scholar
Md. Abdul Hakim
  • Md. Abdul Hakim
  • Department of Food Technology and Nutritional Science, Mawlana Bhashani Science and Technology University, Santosh, Tangail, Bangladesh
  • Google Scholar







 Received: 16 August 2016  Accepted: 30 September 2016  Published: 30 May 2017

Copyright © 2017 Author(s) retain the copyright of this article.
This article is published under the terms of the Creative Commons Attribution License 4.0


There are different methods to measure health and nutritional status of samples at different sociodemographic settlements in different communities. Of them, one method can be preferable at a certain topographic condition for specific group of people. Typically, it can then become a common method due to widespread uses by other groups, and hence many researchers often are in doubt to choose the apt method for their studies in dynamic environment of health science. This study aims to design a new modulator of health status for examining the ongoing health and nutritional concerns to the communities including malnutrition, health demography and possible socioeconomic and environmental changes of heath. It uses a wide range of instruments and theories ranging from the Quetelet’s index in health science to the Albert Einstein’s theory of relativity in physical science. Findings reveal that our proposed logarithmic biophysical modulator of health status [equation (ix)] is a modern and simple tool for health assessment of individuals through statistical modeling. It could be applicable to the study on the worldwide health and nutritional research, geospatial and community health and biostatistics and public health. Also it can be a uniquely functional biophysical model to the discipline of health pedagogy in nutritional epidemiology.

 

Key words: Health pedagogy, statistical modeling, health status, malnutrition, biophysical modulator

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APA Rahman, A. & Hakim, Md. A. (2017). Modeling health status using the logarithmic biophysical modulator. Journal of Public Health and Epidemiology, 9(5), 145-150.
Chicago Azizur Rahman and Md. Abdul Hakim. "Modeling health status using the logarithmic biophysical modulator." Journal of Public Health and Epidemiology 9, no. 5 (2017): 145-150.
MLA Azizur Rahman and Md. Abdul Hakim. "Modeling health status using the logarithmic biophysical modulator." Journal of Public Health and Epidemiology 9.5 (2017): 145-150.
   
DOI 10.5897/JPHE2016.0867
URL http://academicjournals.org/journal/JPHE/article-abstract/DE4D0AF63797

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