ISSN: 2155-9600
+32 25889658
Department of Biological Sciences, College of Science and Technology, Florida Agricultural and Mechanical University, 1610 S. Martin Luther King Blvd, Tallahassee, FL 32307, United States of America
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