The study examines the driving factors of total energy-related and power-related (electricity-heat) CO emissions for China, India and Brazil, three BRICS countries with vital economic and demographic dynamics. The paper applies decoupling and decomposition analysis in order to investigate the influence of those factors that are prominent in the contemporary literature as well as factors reflecting important social and demographic dynamics which affect the ecological footprint of society. Household size and number of households are introduced into the relevant literature for the first time to reflect demographic factors with substantially different trends from population size, the predominant factor in the existing literature. This novelty together with the simultaneous application of decoupling and decomposition analysis adds importance to the findings of the study, which covers the period of 2000-2018. The results show that increasing income and population significantly enlarge the energy-related CO emissions. Household size, number of households and income effects are crucial in the increase of power-related CO emissions. The crucial factor for the decrease of energy-related CO emissions is the decreasing energy intensity, while for power-related CO emissions it is the emission factor effect reflecting the recent shift towards less carbon intensive energy types.
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http://dx.doi.org/10.1038/s41598-024-58827-9 | DOI Listing |
BMC Health Serv Res
December 2024
Western Sydney University, School of Computer, Data and Mathematical Sciences, Sydney, Australia.
Background: China is currently at a turning point as its total population has started to decline, and therefore faces issues related to caring for an ageing population, which will require an increase in Total Health Expenditure (THE). Therefore, the ability to forecast China's future THE is essential.
Methods: We developed two THE System Dynamics (SD) models using Stella Architect 3.
Int J Emerg Med
December 2024
Department of Neurosurgery, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Introduction: Traffic accidents are a major public health concern worldwide, resulting in significant injuries, fatalities, and economic costs. In urban zones, traffic accident dynamics can vary significantly due to population density, infrastructure, and emergency response capabilities. The present study was conducted to determine the time intervals of prehospital emergencies in traffic accidents by separating the 15 zones of Isfahan city, Iran.
View Article and Find Full Text PDFSci Rep
December 2024
The Center for Internet and Society, Nantong Institute of Technology, 211 Yongxing Road, Nantong, 226002, China.
China faces substantial challenges in healthcare access and quality, marked by significant regional disparities. While the potential of informatization to enhance healthcare services is increasingly acknowledged, the specific mechanisms through which it impacts healthcare delivery remain underexplored. By employing provincial panel data and dynamic spatial panel models, we aim to uncover the mechanisms through which informatization impacts healthcare delivery.
View Article and Find Full Text PDFSci Rep
December 2024
Division of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, Puerto Rico.
Understanding the dynamics of antibody responses following vaccination and SARS-CoV-2 infection is important for informing effective vaccination strategies and other public health interventions. This study investigates SARS-CoV-2 antibody dynamics in a Puerto Rican cohort, analyzing how IgG levels vary by vaccination status and previous infection. We assess waning immunity and the distribution of hybrid immunity with the aim to inform public health strategies and vaccination programs in Puerto Rico and similar settings.
View Article and Find Full Text PDFTrop Med Infect Dis
November 2024
Department of Laboratory Medicine and Pathology, Walter Sisulu University, Mthatha 5100, South Africa.
Interactions between parasites and hosts are not fully understood, though the dynamic pattern of infection and reinfection in humans varies with different demographic variables and behavioral changes. A community-based non-equivalent control group post-test-only design, an aspect of quasi-experimental design (QED), was carried out between March 2019 and February 2020. For the extraction of data from respondents, structural questionnaires were filled.
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