Predicting the Mental Health of Rural Bangladeshi Children in Coronavirus Disease 2019

dc.contributor.authorMoon, Nazmun Nessa
dc.contributor.authorHossain, Refath Ara
dc.contributor.authorJahan, Israt
dc.contributor.authorShakil, Shahriar
dc.contributor.authorUddin, Shihab
dc.contributor.authorHassan, Mahmudul
dc.contributor.authorNu, Fernaz Narin
dc.date.accessioned2023-08-27T12:03:23Z
dc.date.available2023-08-27T12:03:23Z
dc.date.issued22-06-18
dc.description.abstractThe 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.
dc.identifier.otherhttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/11081
dc.identifier.urihttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/11081
dc.language.isoen_US
dc.publisherDaffodil International University
dc.sourceDIU Institutional Repository
dc.subjectCOVID-19
dc.subjectMachine Learning
dc.subjectAlgorithms
dc.titlePredicting the Mental Health of Rural Bangladeshi Children in Coronavirus Disease 2019
dc.typeArticle

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