Grace Gau¹, Minerva Singh^2,3,*

Revue Internationale de Géomatique, Vol.33, pp. 427-443, 2024, DOI:10.32604/rig.2024.055752 - 11 October 2024

Abstract This study examines how socio-economic characteristics predict flood risk in London, England, using machine learning algorithms. The socio-economic variables considered included race, employment, crime and poverty measures. A stacked generalization (SG) model combines random forest (RF), support vector machine (SVM), and XGBoost. Binary classification issues employ RF as the basis model and SVM as the meta-model. In multiclass classification problems, RF and SVM are base models while XGBoost is meta-model. The study utilizes flood risk labels for London areas and census data to train these models. This study found that SVM performs well in binary… More >

Hong Wang¹, Narges Sanchuli^2,*

International Journal of Mental Health Promotion, Vol.25, No.1, pp. 63-79, 2023, DOI:10.32604/ijmhp.2022.022319 - 29 November 2022

Abstract The COVID-19 pandemic has struck nations worldwide, pushing worldwide health and socioeconomic systems to extreme limits. Various factors, such as drastic alterations in public environments, prolonged quarantine, revenue loss, and anxiety of disease contraction, have caused mental turmoil. Although there was a need to cope with an excess of psychological strain among the public, post-COVID patients, and those with a previously diagnosed psychiatric condition, mental health programs faced a substantial decline in services, mirroring the dramatic rise in psychological issues. Interestingly, certain coping strategies play protective or deleterious effects on mental health outcomes. Moreover, social… More >

Safwan Qadri¹, Shixiang Chen^1,*, Syed Usman Qadri²

International Journal of Mental Health Promotion, Vol.24, No.5, pp. 635-648, 2022, DOI:10.32604/ijmhp.2022.021689 - 27 July 2022

Abstract Worldwide, the COVID-19 pandemic has had a significant impact on social and economic conditions as well as mental and physical health. Pakistan is considered in high ranks on Uncertainty Avoidance Index (UAI). The people of Pakistan have already faced numerous obstacles in terms of food and housing prospects. Job security, inflated prices of food items, and financial distress are the foremost vital challenges of Pakistan’s people during the Pandemic. This study examines the people’s perception of social, economic, and psychological impact and explores the causes and trends of spreading the COVID-19 pandemic in Pakistan. A… More >

Joongbaeck Kim¹, Manacy Pai^2,*

International Journal of Mental Health Promotion, Vol.24, No.3, pp. 311-329, 2022, DOI:10.32604/ijmhp.2022.017555 - 17 March 2022

Abstract Extensive research suggests that living in a socioeconomically disadvantaged neighborhood is associated with poor mental health. Few studies, however, have examined (1) whether neighborhood disadvantage is associated with residents’ self-esteem; and (2) the extent to which individual-level socioeconomic resources such as income and education, and relational resources such as marriage and social support moderate the association between neighborhood disadvantage and self-esteem. This study employs data from the Americans’ Changing Lives panel survey (hereafter ACL), a 15-year panel study of the U.S. adult population ages 25 and older in original sample. Because hierarchical linear model was… More >

Juan Jesús Sánchez‐Barriga

Congenital Heart Disease, Vol.13, No.5, pp. 690-699, 2018, DOI:10.1111/chd.12631

Abstract Background: Congenital heart disease (CHD) represents a global health problem. In Mexico, in children <1 year of age it is the second cause of mortality. The aim was to determine mortality trends from CHD and the great vessels in children and adults nationwide, by state and socioeconomic region.
Methods: Records of mortality associated to CHD and the great vessels for 2000‐2015 were obtained from the National Institute of Statistics and Geography. This information is collected from death certificates issued nationwide. International Classification of Diseases, 10th revision, codes corresponding to the basic cause of death from CHD and… More >