Assessment of Psychological Impact Due to the Pandemic in Society and Education in Colombia with Machine Learning

Abstract

After 20 months of the pandemic, the health situation in the world has evolved favorably with vaccination in most of the countries that have had access to it. However, the impact on society from the point of view of people’s behavior and their relationship with physical health is being evaluated by stakeholders. It helps states and institutions to formulate public policies to achieve social adaptation to new conditions, after pandemic. Sociodemographic conditions interact with the environment produced by the pandemic and can cause physical and psychological affectation that is reflected in the behavior of the person, such as the reaction to a new threatening situation (stress). This response is used to evaluate the degree of mentioned affectation of people. Models based on machine learning are proposed to evaluate and predict this level as well as the consequence in the educational process.