Open AccessHuDA_COVID Human Disposition Analysis during COVID-19 using Machine Learning
Publication year - 2022
Publication title -
international journal of e-health and medical communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.151
H-Index - 12
eISSN - 1947-3168
pISSN - 1947-315X
DOI - 10.4018/ijehmc.20220701oa01
Subject(s) - disposition , covid-19 , pandemic , psychology , human health , addiction , social psychology , medicine , environmental health , psychiatry , disease , pathology , infectious disease (medical specialty)
Coronavirus has greatly impacted various aspects of human life, including human psychology & human disposition. In this paper, we attempted to analyze the impact of the COVID-19 pandemic on human health. We propose Human Disposition Analysis during COVID-19 using machine learning (HuDA_COVID), where factors such as age, employment, addiction, stress level are studied for human disposition analysis. A mass survey is conducted on individuals of various age groups, regions & professions, and the methodology achieved varied accuracy ranges of 87.5% to 98%. The study shows people are worried about lockdown, work & relationships. Furthermore, 23% of the respondents have not had any effect. 45% and 32% have had positive and negative effects, respectively. It is a novel study in human disposition analysis in COVID-19 where a novel weighted assignment indicating the health status is also proposed. HuDA_COVID clearly indicates a need for a methodical approach towards the human psychological needs to help the social organizations formulating holistic interventions for affected individuals.