A cross-sectional study of parental perspectives on children about COVID-19 and classification using machine learning models

A cross-sectional study of parental perspectives on children about COVID-19 and classification using machine learning models

Background and objectiveThis study delves into the parenting cognition perspectives on COVID-19 in children, exploring symptoms, transmission modes, and protective measures. It aims to correlate these perspectives with sociodemographic factors and employ advanced machine-learning techniques for comp...

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Bibliographic Details
Main Authors: Fahmida Kousar, Arshiya Sultana, Marwan Ali Albahar, Manoj Shamkuwar, Md Belal Bin Heyat, Mohd Ammar Bin Hayat, Saba Parveen, John Irish G. Lira, Khaleequr Rahman, Abdullah Alammari, Eram Sayeed
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Public Health
Subjects:
public health
medical machine learning
parents
children health
SARS CoV-2
healthcare
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2024.1373883/full
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