Journal of Nutrition & Food Sciences
Open Access

Department of Computer and information Sciences, College of Science and Technology, Florida Agricultural and Mechanical University, Florida, United States of America

Publications

• Research Article   
  COVID-19 Prevalence in Countries with Normal Body Mass Index: Implications of Artificial Intelligence and Machine Learning in Healthcare
  Author(s): Clement G. Yedjou*, Richard Long, Victor Eno, Jinwei Liu, Shannon Bright Smith, Pierre Ngnepieba, Kwasi Densu, Monique MsCallister, Lekan Latinwo and Paul B. Tchounwou*
  
  Introduction: Coronavirus disease 2019 (COVID-19) has had a profound impact globally, causing the death of millions of people and deeply affecting socio-psychological, human health, and economic systems, with some nations bearing a disproportionate burden. Despite obesity having been established as one of the major risk factors of COVID-19 severity and other degenerative diseases, the effects that dietary pattern intake plays in COVID-19 outcomes remain poorly understood. The goal of this study is to look into the connection between eating habits, the number of non-obese and obese people, and COVID-19 outcomes in countries with populations exhibiting normal Body Mass Index (BMI), which is an indicator of obesity. Methods: The analysis includes data from 170 countries. From the 170 countries, we focused on 53 nations where the average, BMI fa.. View More»
  DOI: 10.35248/2155-9600.25.15.56

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