Search

To meet the Paris temperature targets and recover from the effects of the pandemic, many countries have launched economic recovery plans, including specific elements to promote clean energy technologies and green jobs. However, how to successfully manage investment portfolios of green recovery packages to optimize both climate mitigation and employment benefits remains unclear. Here, we use three energy-economic models, combined with a portfolio analysis approach, to find optimal low-carbon technology subsidy combinations in six major emitting regions: Canada, China, the European Union (EU), India, Japan, and the United States (US). We find that, although numerical estimates differ given different model structures, results consistently show that a >50% investment in solar photovoltaics is more likely to enable CO2 emissions reduction and green jobs, particularly in the EU and China. Our study illustrates the importance of strategically managing investment portfolios in recovery packages to enable optimal outcomes and foster a post-pandemic green economy.

Since the beginning of the COVID-19 pandemic and its economic impacts, scientists and policymakers alike have been advocating for green recovery packages focusing on clean energy technologies, to align economic recovery with climate change mitigation. In this study, we use three energy-economy models combined with portfolio analysis to estimate the emissions and employment benefits of a potential allocation of announced recovery packages towards clean energy projects, in six major emitting regions: Canada, China, EU, India, Japan, and USA. Despite trade-offs and regional differences, we find potential technology portfolios that both reduce emissions and increase employment across all regions and models. Solar PV is the dominant technology for achieving both emissions cuts and employment gains in most countries, while optimal packages also include funds for other low-carbon technologies. The selected packages significantly contribute to achieving NDC objectives and reducing pandemic-driven unemployment in the EU, China, and Canada. In USA and India, the proposed packages are too small to make a significant contribution. We find strong model structure-driven differences in outcomes, confirming the relevance of applying diverse models to avoid false precision in outcomes.

The Paris Agreement is the last hope to keep global temperature rise below 2°C. The consensus agrees to holding the increase in global average temperature to well below 2°C above pre-industrial levels, and to aim for 1.5°C. Each Party’s successive nationally determined contribution (NDC) will represent a progression beyond the party’s then current NDC, and reflect its highest possible ambition. Using Ireland as a test case, we show that increased mitigation ambition is required to meet the Paris Agreement goals in contrast to current EU policy goals of an 80–95% reduction by 2050. For the 1.5°C consistent carbon budgets, the technically feasible scenarios' abatement costs rise to greater than €8,100/tCO2 by 2050. The greatest economic impact is in the short term. Annual GDP growth rates in the period to 2020 reduce from 4% to 2.2% in the 1.5°C scenario. While aiming for net zero emissions beyond 2050, investment decisions in the next 5–10 years are critical to prevent carbon lock-in. Key policy insightsEconomic growth can be maintained in Ireland while rapidly decarbonizing the energy system.The social cost of carbon needs to be included as standard in valuation of infrastructure investment planning, both by government finance departments and private investors.Technological feasibility is not the limiting factor in achieving rapid deep decarbonization.Immediate increased decarbonization ambition over the next 3–5 years is critical to achieve the Paris Agreement goals, acknowledging the current 80–95% reduction target is not consistent with temperature goals of ‘well below’ 2°C and pursuing 1.5°C.Applying carbon budgets to the energy system results in non-linear CO2 emissions reductions over time, which contrast with current EU policy targets, and the implied optimal climate policy and mitigation investment strategy. Economic growth can be maintained in Ireland while rapidly decarbonizing the energy system. The social cost of carbon needs to be included as standard in valuation of infrastructure investment planning, both by government finance departments and private investors. Technological feasibility is not the limiting factor in achieving rapid deep decarbonization. Immediate increased decarbonization ambition over the next 3–5 years is critical to achieve the Paris Agreement goals, acknowledging the current 80–95% reduction target is not consistent with temperature goals of ‘well below’ 2°C and pursuing 1.5°C. Applying carbon budgets to the energy system results in non-linear CO2 emissions reductions over time, which contrast with current EU policy targets, and the implied optimal climate policy and mitigation investment strategy.

The Paris Agreement is the last hope to keep global temperature rise below 2°C. The consensus agrees to holding the increase in global average temperature to well below 2°C above pre-industrial levels, and to aim for 1.5°C. Each Party’s successive nationally determined contribution (NDC) will represent a progression beyond the party’s then current NDC, and reflect its highest possible ambition. Using Ireland as a test case, we show that increased mitigation ambition is required to meet the Paris Agreement goals in contrast to current EU policy goals of an 80–95% reduction by 2050. For the 1.5°C consistent carbon budgets, the technically feasible scenarios' abatement costs rise to greater than €8,100/tCO2 by 2050. The greatest economic impact is in the short term. Annual GDP growth rates in the period to 2020 reduce from 4% to 2.2% in the 1.5°C scenario. While aiming for net zero emissions beyond 2050, investment decisions in the next 5–10 years are critical to prevent carbon lock-in. Key policy insightsEconomic growth can be maintained in Ireland while rapidly decarbonizing the energy system.The social cost of carbon needs to be included as standard in valuation of infrastructure investment planning, both by government finance departments and private investors.Technological feasibility is not the limiting factor in achieving rapid deep decarbonization.Immediate increased decarbonization ambition over the next 3–5 years is critical to achieve the Paris Agreement goals, acknowledging the current 80–95% reduction target is not consistent with temperature goals of ‘well below’ 2°C and pursuing 1.5°C.Applying carbon budgets to the energy system results in non-linear CO2 emissions reductions over time, which contrast with current EU policy targets, and the implied optimal climate policy and mitigation investment strategy. Economic growth can be maintained in Ireland while rapidly decarbonizing the energy system. The social cost of carbon needs to be included as standard in valuation of infrastructure investment planning, both by government finance departments and private investors. Technological feasibility is not the limiting factor in achieving rapid deep decarbonization. Immediate increased decarbonization ambition over the next 3–5 years is critical to achieve the Paris Agreement goals, acknowledging the current 80–95% reduction target is not consistent with temperature goals of ‘well below’ 2°C and pursuing 1.5°C. Applying carbon budgets to the energy system results in non-linear CO2 emissions reductions over time, which contrast with current EU policy targets, and the implied optimal climate policy and mitigation investment strategy.

This study investigates longitudinal changes in health-related quality of life (HRQoL) in early-onset multiple sclerosis (MS) patients and explores the impact of disease activity (relapses) on such changes. People with MS (PwMS) onset between 12 and 25 years of age were followed longitudinally. At baseline and at year 4, patients were asked to fill the Paediatric Quality of life inventory (PedsQL). Demographic and clinical features were collected at both time points. Longitudinal within-group comparison of HRQoL total score and sub-scores was performed via paired samples t-test. The effect of relapses on the HRQoL changes over time was explored via linear mixed-effects analysis. No longitudinal changes were observed in the overall PedsQL score, nor in the physical, school and psychological functioning. An increase in the social functioning subscale (p < 0.001) and a decrease in the emotional subscale (p = 0.006) were observed. The change in social functioning, but not the one in the emotional subscale, was affected by the occurrence of relapses (p = 0.044). In conclusion, stimulating the patients to accept their emotional responses to health-related limitations, while preserving their social and relational resources seems key to the preservation of an adequate QoL over time in juvenile-onset MS.

Despite being a common issue in people with multiple sclerosis (pwMS), sexual dysfunction is still underinvestigated. This work aims to assess the potential determinants of sexual dysfunction in pwMS by considering its relationship with disease severity (in terms of global disability), illness perception, and depressive symptoms. In this multicenter study, 1010 pwMS responded to an online survey. A serial mediation model considering negative illness perception and depressive symptoms as mediators of the relationship between disease severity and sexual dysfunction was conducted using the SPSS PROCESS Macro with bias-corrected bootstrapping (5000 samples). Disease severity exerts an indirect effect on sexual dysfunction via illness perception, both independently and through depressive symptoms. However, the results indicated that illness perception plays a more crucial role in sexual dysfunction in pwMS with mild disability than in pwMS with moderate-severe disability. This study suggests that higher disability increases its magnitude by enhancing negative illness perception, that, in turn, affects sexual dysfunction both directly and through depressive symptoms, especially in pwMS with mild disability. Modulating the effect of illness perception by favoring adaptive coping strategies might represent a valid approach to mitigate sexual dysfunction symptoms in MS.

The current study aimed at exploring the relationship between objective disability, illness perceptions, resilience, fear of COVID-19, and psychological distress (i.e., anxiety, depression, and stress) in people with multiple sclerosis (pwMS) during the second wave of the COVID-19 outbreak. A group of 122 pwMS recruited in an Italian university hospital took part in this cross-sectional monocentric study. Hierarchical multiple linear regression analyses were performed to assess the strength of the hypothesized associations. Results indicated that, differently from cognitive impairment, motor disability was positively associated with anxiety. However, accounting for subjective illness perception, such association was no longer significant. Moreover, accounting for both protective and risk factors in the models, even illness perception was no longer significant, highlighting the central role of resilience and fear of COVID-19 in explaining the negative emotional outcomes. Implications for clinical interventions and psychoeducational trainings are discussed.

The recent outbreak of coronavirus disease 2019 (COVID-19) has been extremely stressful and has produced fear and anxiety throughout the population, representing a psychological emergency. This work aimed at presenting a mental health first aid service established within an Italian university public hospital context to address four different population targets (i.e., people vulnerable to mental health problems, health-care professionals, people in isolation, and general citizenship). Specifically, the organizational structure comprising four different areas (i.e., management, clinical, communication, and research) and first data collected from the foundation of the service until 3 May 2020 are presented. Findings indicated that anxiety and fear of contagion were the main motivations prompting both the general population and health-care professionals to ask for a psychological help. Furthermore, findings indicate that clients’ current quality of life was perceived as lower than in the past but also that imagined in the future, highlighting the importance of psychological first aid interventions. This service may represent an example for helping mental health professionals in developing similar services in their local realities, promoting health and individual and community resilience.

The Brief Repeatable Battery of Neuropsychological Tests (BRB) is frequently used to estimate cognitive function in adults with multiple sclerosis (MS), while it has been included in few studies on young MS, also because of the absence of normative values. We aim to evaluate the impact of age, gender, and education on BRB scores in a young adolescent population.We administered the BRB to 76, 14-to-17-year-old, healthy subjects. Linear regression models were used to assess the impact of age, gender, and education on sub-test scores. When statistically significant (p 0.05), we used the regression coefficient to correct the raw scores.Younger age was associated with better performance on SPART (β = - 2.54; p 0.05) and SPART-D (β = - 1.06; p 0.05). Male gender was associated with better performance on SPART (β = 3.40; p 0.05), SPART-D (β = 1.41; p 0.05), PASAT-3 (β = 5.58; p 0.05), and PASAT-2 (β = 5.07; p 0.05). Educational attainments were associated with better performance on SPART (β = 3.23; p 0.05) and SPART-D (β = 1.28; p 0.05). Cut-off points were suggested at the 5th lowest percentile.Age, gender, and education must be accounted for when applying the BRB to young population. Present results can prove useful for future clinical and research applications in adolescent MS patients.

ackground: Multiple sclerosis (MS) is a demyelinating disease of the CNS occurring in young adults and even in children in 5% of cases. Lower quality of life (QoL) and cognitive impairment (CI) (40e54%) have been reported in early-onset MS (EO-MS) patients. Objective: To assess QoL and cognitive function in EO-MS and their relationship, also considering demographic and clinical variables. Methods: Paediatric Quality of life inventory Version 4.0 for patients aged 13e18 and 19e25 years, Beck Depression Inventory II (BDI II) and the Rao Brief Repeatable Battery were performed in EO-MS patients (onset age 25years). EDSS and MSSS were performed at same time. After testing for normal distribution, group comparisons were performed through the two-tailed Student's t test, one-way analysis of variance (ANOVA) and linear or logistic regression when appropriate. The Bonferroni correction for multiple testing was used when appropriate. Results: 59 patients were included (mean age: 20 ± 3.6; Female sex 52.54%). 34 patients had a paediatric onset (