Moderating the role of social progress with greenhouse gases to determine the health vulnerability in developing countries

Environmental Science and Pollution Research, Journal Year: 2023, Volume and Issue: 30(40), P. 92123 - 92134

Published: July 22, 2023

Language: Английский

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How do performance monitoring systems support sustainability in healthcare?

Society and Business Review, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 3, 2025

Purpose “Sustainability” in a health-care context is defined by the sustainable development goals (SDGs) adopted United Nations 2015, and particular third SDG. Accordingly, this research summarizes seminal studies draw on it to identify waves of challenges affecting sector. This study aims contribute discourse sustainability organizations (HCOs) exploring role performance monitoring systems (PMS), such as balanced scorecard (BSC). Design/methodology/approach To explore issue further, authors illustrate transformation model HCOs, from inputs outcomes. The rely organizational analysis/behavior theories. They use qualitative case approach (the American University Beirut Medical Center Lebanon – AUBMC) delve into intricacies PMS implementation an HCO. Findings authors’ findings underline operationalizing within HCOs. By adopting PMS, HCOs can facilitate integration environmental, social economic factors decision-making processes. enhance their create long-term value. Research limitations/implications Despite important findings, paper not enough “generalize” “replicate” results. However, able highlight road map for HCO’s managers. Furthermore, does take account impact artificial intelligence design, analysis results produced PMS. Practical implications highlights importance strong leadership well-defined achieve sustainability. It that no longer just about reputation; across various aspects. Leaders need integrate organization’s mission, vision values. Thus, implementing like BSC crucial. On other hand, focus attract retain top talent who are increasingly concerned environmental responsibility. efforts should consider patient needs. And finally, drive innovation through developing new services, partnerships technologies reduce improve financial performance. Social how aligns with supports achieving UN-SDGs related health care (SDG 3: Ensure healthy lives promote well-being all at ages). conclude to: access quality (by providing more efficient operations resource allocation, potentially allowing treat patients − SDG 3.1, 3.8); encourage investments preventative programs public initiatives contributing healthier population reducing treatment burdens 3.3, 3.4); support responsibility energy consumption waste disposal lessen footprint planet 3.9); employee creating positive work environment better air stress-reducing practices, improving innovate (sustainability areas telemedicine, renewable sources powering environmentally friendly medical equipment 3.b). Originality/value contributes emerging field empirical evidence goals. offers practical insights seeking potential strategic management tool.

Language: Английский

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Examining Geospatial PPE Waste Patterns and Associations with Neighborhood-Level Sociodemographic Indicators and Social Capital in Boston Neighborhoods During Fall 2022

The Professional Geographer, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 16

Published: April 2, 2025

Language: Английский

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Spatial analysis of the impacts of the urban form on the energy consumption of Karaj over the Covid-19 era (2019–2022)

Energy and Buildings, Journal Year: 2023, Volume and Issue: 298, P. 113568 - 113568

Published: Sept. 22, 2023

Language: Английский

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A New Dimension of Health Sustainability Model after Pandemic Crisis Using Structural Equation Model

Sustainability, Journal Year: 2023, Volume and Issue: 15(2), P. 1616 - 1616

Published: Jan. 13, 2023

Since the coronavirus (COVID-19) pandemic, it has been clear that health dimension (HEDm) a severe impact on sustainability, which was originally considered from pillars of society, environment and economy. Hence, integration into other three is plausible to define guidelines criteria for progress monitoring policy assessment towards health-sustainable city. The objective this study aims present Health Sustainability Model (HSM), four-dimensional model sustainability (health, economy, environment, society), using Del-phi method determine potential indicators agreed by eighteen experts, including physicians who deeply understand issues assess complex dimensions in context sustainability. researchers have found 45 indicators, later grouped 15 elements 4 dimensions, high level agreement with Kendall’s W (KW) at 0.36. HSM then examined structural equation (SEM) reliability validity shown as follows: absolute fit CMIN/DF = 1.44, RMSEA 0.033, GFI 0.96, AGFI 0.94, RMR 0.025, incremental NFI CFI 0.98, TLI 0.97, IFI 0.98. Based results, valid, line empirical data. For further application, expected support city planners decision makers identifying room improvement each through employed model. In contrast existing studies mainly use qualitative data, conducting quantitative assessment, enables objectively evaluate conditions appropriately design policies improve residents’ well-being.

Language: Английский

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Detection of COVID-19 from Deep Breathing Sounds Using Sound Spectrum with Image Augmentation and Deep Learning Techniques

Electronics, Journal Year: 2022, Volume and Issue: 11(16), P. 2520 - 2520

Published: Aug. 11, 2022

The COVID-19 pandemic is one of the most disruptive outbreaks 21st century considering its impacts on our freedoms and social lifestyle. Several methods have been used to monitor diagnose this virus, which includes use RT-PCR test chest CT/CXR scans. Recent studies employed various crowdsourced sound data types such as coughing, breathing, sneezing, etc., for detection COVID-19. However, application artificial intelligence machine learning algorithms these datasets still suffer some limitations poor performance results due increase misclassified data, limited resulting in overfitting deep methods, high computational cost augmentation models, varying quality feature-extracted images reliability. We propose a simple yet effective model, called DeepShufNet, detection. A method based color transformation noise addition was generating synthetic image from data. efficiencies dataset were evaluated using two feature extraction approaches, namely Mel spectrogram GFCC. proposed DeepShufNet model breathing COSWARA dataset, shows improved with lower misclassification rate minority class. achieved an accuracy, precision, recall, specificity, f-score 90.1%, 77.1%, 62.7%, 95.98%, 69.1%, respectively, positive COCOA-2 augmented training datasets. showed compared state-of-the-art-methods.

Language: Английский

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COVID-19 resilience index in European Union countries based on their risk and readiness scale

PLoS ONE, Journal Year: 2023, Volume and Issue: 18(8), P. e0289615 - e0289615

Published: Aug. 4, 2023

Addressing risks and pandemics at a country level is complex task that requires transdisciplinary approaches. The paper aims to identify groups of the European Union countries characterized by similar COVID-19 Resilience Index (CRI). Developed in CRI index reflects countries' risk their readiness for crisis situation, including pandemic. Moreover, study detects factors significantly differentiate distinguished groups. According our research, Bulgaria, Hungary, Malta, Poland have lowest score, with Croatia, Greece, Czechia, Slovakia following close. At same time, Ireland Scandinavian occupy top leader board, followed Luxemburg. Kruskal-Wallis test results indicate four indicators first year Among significant are not only COVID-19-related factors, i.e., changes residential human mobility, stringency anti-COVID-19 policy, but also strictly environmental namely pollution material footprint. It indicates most critical global issues might be crucial phase future we detect eight analysed economic such as GDP per capita labour markets, governance Rule Law, Access Information, Implementation Adaptability measures, social Tertiary Attainment Research, Innovation, Infrastructure.

Language: Английский

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Correlation Analysis of Health Factors of Elderly People in Traditional Miao Dwellings in Western Hunan

Buildings, Journal Year: 2023, Volume and Issue: 13(6), P. 1459 - 1459

Published: June 2, 2023

Under the macro context of severe global aging, typical villages and dwellings Miao ethnic group in western Hunan were selected, daily life health status local elderly evaluated through behavioral observation, interviews, questionnaires (e.g., physiological, psychological, residential environments). In addition, relevant evaluation factors respondents correlated then analyzed using SPSS software. As indicated by results this study, used all spaces functions existing satisfied with except for toilet. their physiological had declined, behaviors affected a wide variety physical diseases. From psychological perspective, more than 60% significant feelings loneliness frustration. correlation results, traditional was positively family, income, acts, dwellings, infrastructure, negatively age. They showed linear correlations impact factors: Health = 157.44 − 5.242 ∗ Gender 1.611 Age 0.606 Education level 0.411 Family + 0.001 Income 7.191 Daily acts 13.621 Dwelling 4.682 Infrastructure 17.198 Natural. Based on targeted improvement strategies proposed from four aspects—infrastructure, mental health, policy support—to improve Chinese towns.

Language: Английский

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Development of multi-scale indices of human mobility restriction during the COVID-19 based on air quality from local and global NO2 concentration

iScience, Journal Year: 2023, Volume and Issue: 26(9), P. 107599 - 107599

Published: Aug. 11, 2023

This study investigated whether variability in air quality, especially related to vehicular emissions, during the COVID-19 pandemic could indicate social distancing. Data from situ measurements and satellite estimates were used. The areas São Paulo, Brazil, Bologna, Italy. We focused our analysis on NO2, a combustion-derived pollutant, because of its availability surface stations tracking, it has short atmospheric lifetime. analyses included graphical, statistical, wavelet transform-based approaches understand NO2 concentrations before pandemic. After confirming reduction emissions pandemic, we created normalized indices assess remoteness 2020 different locations, with focus Paulo Bologna. These compared existing based cell phone mobility. proposed this suffered high sensitivity distance ones helped actual application contamination rates, considering various dimensions problem.

Language: Английский

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The collateral effects of COVID-19 on marine pollution

Marine Pollution Bulletin, Journal Year: 2024, Volume and Issue: 205, P. 116595 - 116595

Published: June 15, 2024

Language: Английский

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