Artificial Intelligence and Psychosocial Support During the COVID-19 Outbreak

Abstract

World Health Organization (WHO) declared new coronavirus disease, COVID-19 as a pandemic in January 2020 and stated that support is needed for mental health and psychosocial wellbeing during this pandemic. Machine learning is the subset of artificial intelligence which can provide resources to overcome the current mental health crisis during COVID-19. It provides the opportunity to solve challenges with the ability to learn from experiences automatically. This chapter gives useful insight to assess the feasibility and efficacy of artificial intelligence and psychosocial support during the COVID-19 outbreak. The demographic data of Namibia during the infestation period of COVID-19 spread is presented and analysed by statistical methods about age, citizen and gender. Further in this study, a regression model is developed, which gives the relationship between the independent variable which is the date of infestation and a dependent variable which is the number of patients, and the available data is being used to predict the future value of infected COVID-19 outbreak in a similar environment.