Scopus Indexed Publications

Paper Details


Title
Predicting the mental health of rural Bangladeshi children in coronavirus disease 2019
Author
Nazmun Nessa Moon, Israt Jahan, Mahmudul Hassan, Md. Shihab Uddin, Refath Ara Hossain, Shahriar Shakil,
Email
moon@daffodilvarsity.edu.bd
Abstract

The novel coronavirus disease 2019 (COVID-19) current pandemic is a worldwide health emergency like no other. It is not the only COVID-19 infection in infants, children, and adolescents that is causing concern among their families and professionals; there are also other serious issues that must be carefully detected and addressed. Major things are identified due to COVID-19, some elements are affecting children’s healthcare in direct or indirect ways, affecting them not just from a medical standpoint but also from social, psychological, economic, and educational perspectives. All these factors may have affected children’s mental development, particularly in rural settings. As Bangladesh faces a major challenge such as a lack of public mental health facilities, especially in rural areas. So, we discovered a method to predict the mental development condition of rural children that they are facing at this time of COVID-19 using machine learning technology. This research work can predict whether a rural child is mentally developed or mentally hampered in Bangladesh and this prediction gives nice feedback.

Keywords
accuracy rate; coronavirus disease 2019; machine learning; mental health of rural children; support vector machine;
Journal or Conference Name
International Journal of Electrical and Computer Engineering
Publication Year
2022
Indexing
scopus