This study aims to study how disaster losses are affected by unemployment and poverty, then how disasters also cause income inequality in Indonesia and the causal relationship between disaster losses and income inequality. To determine the structural relationship between economic variables and disaster losses, the Structural Equation Model-Partial Least Squares (SEM - PLS) approach is used. This approach is an approach previously not found in economic and environmental studies. This study uses secondary data consisting of 30 years 1990-2019 collected from the territory of Indonesia. The results of the study found that unemployment and poverty variables had a significant effect on the disaster loss variable. The disaster loss variable has a significant effect on the income inequality variable. The income inequality variable has no effect on the disaster loss variable. Research is expected to contribute to the study of the impact of economic development and the environment.
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http://dx.doi.org/10.1016/j.heliyon.2021.e08678 | DOI Listing |
Bull World Health Organ
February 2025
Swiss Academies of Arts and Sciences, Bern, Switzerland.
Economic and labour policies have a considerable influence on health and well-being through direct financial impacts, and by shaping social and physical environments. Strong economies are important for public health investment and employment, yet the rapid rise of generative artificial intelligence (AI) has the potential to reshape economies, presenting challenges beyond mere temporary market disruption. Generative AI can perform non-routine cognitive tasks, previously unattainable though traditional automation, creating new efficiencies.
View Article and Find Full Text PDFTob Induc Dis
January 2025
Department of Cardiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China.
Introduction: Ischemic heart disease (IHD) remains a leading cause of death and disability worldwide. This study evaluates the trends in IHD burden attributable to smoking, utilizing Global Burden of Disease Study 2021 (GBD 2021) data, across 204 countries and territories from 1990 to 2021. By examining age-standardized death rates (ASDR) and disability-adjusted life years (ASRDALYs), the study provides insights into the spatiotemporal variations associated with smokingattributable IHD in different sociodemographic regions.
View Article and Find Full Text PDFFront Psychol
January 2025
Department of Economics, College of Business Administration, King Saud University, Riyadh, Saudi Arabia.
Introduction: Malaysia as an ethnically diverse country has a history of interethnic inequality and poverty which led to the development of different views about the existence of poverty. Among these ethnic groups, some sympathize with the poor and help them through different charity organizations. However, these charity organizations are mostly unaware of the target donors that can aid their charity funds.
View Article and Find Full Text PDFJ Racial Ethn Health Disparities
January 2025
Department of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Context: To evaluate algorithmic fairness in low birthweight predictive models.
Study Design: This study analyzed insurance claims (n = 9,990,990; 2013-2021) linked with birth certificates (n = 173,035; 2014-2021) from the Arkansas All Payers Claims Database (APCD).
Methods: Low birthweight (< 2500 g) predictive models included four approaches (logistic, elastic net, linear discriminate analysis, and gradient boosting machines [GMB]) with and without racial/ethnic information.
BMJ Open
January 2025
Department of Epidemiology and Biostatistics, School of Public Health, Shanghai Jiao Tong University, Shanghai, China.
Introduction: Emergency care begins in the community, who are often the first on the scene. Where emergency care systems are nascent or absent, bystanders represent the only prehospital emergency care that victims might receive. It is important to equip bystanders through life-saving skills training (LST).
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