Journal of
Public Health and Epidemiology

  • Abbreviation: J. Public Health Epidemiol.
  • Language: English
  • ISSN: 2141-2316
  • DOI: 10.5897/JPHE
  • Start Year: 2009
  • Published Articles: 655

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


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