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This paper draws on a subsample (N = 851) of respondents to ITA.LI—Italian Lives—a recently established panel study on a probability sample of individuals aged 16+ living in Italy—to track changes in the affective (positive and negative emotions such as energy and sadness) and cognitive (life satisfaction) components of well‐being during different COVID‐19 policy phases, classified according to the severity of key government responses. An event‐study design is employed, which uses mixed‐effects ordered logistic models to investigate the change in SWB scores. Given the nested nature of the data, multilevel modeling is chosen as the most appropriate method of analysis. The results reveal the levels of affective and cognitive well‐being were significantly lower during the lockdown period than before the pandemic outbreak potentially reflecting both the direct effects of the confinement and other potential sources of distress, such as trends in infection rates and related media alarm. Once the lockdown was lifted, there was no evidence of an immediate and general improvement in well‐being. In the following policy phase, with the lifting of most containment measures, there were significant signs of full recovery concerning energy, but the scores for the other well‐being components remained relatively lower than those observed before the onset of COVID‐19. [ABSTRACT FROM AUTHOR]

Before the COVID-19 pandemic, ventilation in buildings was not always given its due importance. The World Health Organization has highlighted the important role of air exchange with the outdoors in improving the air quality in buildings; buildings should, therefore, be equipped with mechanical ventilation or adequate air conditioning systems. This paper aims to investigate different retrofit solutions for air conditioning, evaluating them in terms of energy consumption and cost and the impact of increased outdoor air exchange rates on countering the propagation of COVID-19; the latter is the main novelty of the paper. As a case study, we take an existing office building located in Central Italy that was previously not equipped with a mechanical ventilation system (a system with primary air was introduced during the study). The energy analysis was conducted using dynamic simulation software after validation through energy bills; energy and economic analyses were conducted considering different external-air exchange rates. An optimal number of outdoor air changes was found to mitigate the risk of COVID-19 infection, a finding in line with the international literature. The increase in air changes with outdoor air leads to a rise in energy consumption and costs. These values were evaluated for different air conditioning systems and operational schedules. These drawbacks can be made less significant by combining interventions in the system with energy-efficiency measures applied to the building envelope. [ABSTRACT FROM AUTHOR]

Air conditioning systems can play a positive or negative role in the spread of COVID-19 infection. The importance of sufficient outdoor air changes in buildings was highlighted by the World Health Organization, therefore these should be guaranteed by mechanical ventilation systems or adequate air conditioning systems. The proposed case study concerns the optimal number of outdoor air changes to limit COVID-19 contagion for a school building in Central Italy. The Wells–Riley model is used to assess the risk of airborne infection, while energy consumption is calculated by a dynamic energy simulation software. The scope of the paper offers an innovative method to define the optimal ventilation strategy for the building's HVAC system design to reduce the risk of infection with limited increases in energy consumption and greenhouse gas emissions. Results show that the desirable approach is the one in which the same low value of contagion risk is set in all rooms. This new approach results in significant energy savings, compared to the most common ones (setting the same high outdoor air rates for all rooms) to counteract the risk of infection. Finally, the zero-emission building target is verified by introducing a suitable photovoltaic system to offset pollutant emissions. [ABSTRACT FROM AUTHOR]

The prediction of the evolution of epidemics plays an important role in limiting the transmissibility and the burdensome consequences of infectious diseases, which leads to the employment of mathematical modeling. In this paper, we propose a stochastic particle filtering extended SEIRS model with repeated vaccination and time-dependent parameters, aiming to efficiently describe the demanding dynamics of time-varying epidemics. The validity of our model is examined using daily records of COVID-19 in Italy for a period of 525 days, revealing a notable capacity to uncover the hidden dynamics of the pandemic. The main findings include the estimation of asymptomatic cases, which is a well-known feature of the current pandemic. Unlike other proposed models that employ extra compartments for asymptomatic cases, which force the estimation of this proportion and significantly increase the model's complexity, our approach leads to the evaluation of the hidden dynamics of COVID-19 without additional computational burden. Other findings that confirm the model's appropriateness and robustness are its parameter evolution and the estimation of more ICU-admitted cases compared to the official records during the most prevalent infection wave of January 2022, attributed to the intensified increase in admissions that may have led to full occupancy in ICUs. As the vast majority of datasets contain time series of total recovered and vaccinated cases, we propose a statistical algorithm to estimate the currently recovered and protected through vaccination cases. This necessity arises from the attenuation of antibodies after vaccination/infection and is necessary for long-time interval predictions. Finally, we not only present a novel stochastic epidemiological model and test its efficiency but also investigate its mathematical properties, such as the existence and stability of epidemic equilibria, giving new insights to the literature. The latter provides additional details concerning the system's long-term behavior, while the conclusions drawn from the R0 index provide perspectives on the severity and future of the COVID-19 pandemic. [ABSTRACT FROM AUTHOR]

This paper focuses on four e-initiatives that were precipitated by the coronavirus outbreak in Italy. These experiences played a relevant role in developing multilevel solidarity (from the local to the global level) both online and offline. They are represented by the hashtags "#iorestoacasa" (I stay at home) and "#andràtuttobene" (everything will be alright), "performances on the balcony," "influencers' campaigns," and "altruism and e-parochialism." These experiences represent revealing examples essential to understand the benefits that a mediated form of solidarity can produce. This is particularly important given the challenges that solidarity faces due to the technological acceleration imposed by the pandemic, which is likely to influence social relationships even in the post-pandemic era. Four lessons can be learned from these expressions of e-solidarity related to the capacity of information and communication technologies to (1) promote unconditioned altruism; (2) fight "parochialism" when the same disadvantaged condition is shared; (3) their capacity to develop a multilevel sense of community by connecting the local experience to the global dimension; and (4) to mediate between institutional sources and people, and connect family members, friends, vulnerable people with neighbors, and the global community. This last point suggests that the pandemic has offered fertile ground for both mechanical and organic forms of solidarity to emerge. On the one hand, it created a collective conscience based on shared vulnerabilities and interdependence. On the other hand, it is based on individualization and diversity. Indeed, these examples of Durkheimian collective effervescence show the paradox of a form of collective individualized and mediated solidarity, which is typical of contemporary society. [ABSTRACT FROM AUTHOR]

Introduction: A new national survey has been carried out by the Italian Centers for Cognitive Disorders and Dementias (CCDDs). The aim of this new national survey is to provide a comprehensive description of the characteristics, organizational aspects of the CCDDs, and experiences during the COVID-19 pandemic. Methods: A list of all national CCDDs was requested from the delegates of each Italian region. The online questionnaire is divided in two main sections: a profile section, containing information on location and accessibility, and a data collection form covering organization, services, treatments, activities, and any service interruptions caused by the COVID-19 outbreak. Results: In total, 511 out of 534 (96%) facilities completed the profile section, while 450 out of 534 (84%) CCDDs also completed the data collection form. Almost half of the CCDDs (55.1%) operated for 3 or fewer days a week. About one-third of the facilities had at least two professional figures among neurologists, geriatricians and psychiatrists. In 2020, only a third of facilities were open all the time, but in 2021, two-thirds of the facilities were open. Conclusion: This paper provides an update on the current status of CCDDs in Italy, which still shows considerable heterogeneity. The survey revealed a modest improvement in the functioning of CCDDs, although substantial efforts are still required to ensure the diagnosis and care of patients with dementia. [ABSTRACT FROM AUTHOR]

Critically ill COVID-19 patients may exhibit various clinical symptoms of renal dysfunction including severe Acute Kidney Injury (AKI). Currently, there is a lack of bibliometric analyses on COVID-19- related AKI. The aim of this study is to provide an overview of the current research status and hot topics regarding COVID-19 AKI. The literature was retrieved from the Web of Science Core Collection (WoSCC) database. Subsequently, we utilized Microsoft Excel, VOSviewer, Citespace, and Pajek software to revealed the current research status, emerging topics, and developmental trends pertaining to COVID-19 AKI. This study encompassed a total of 1507 studies on COVID-19 AKI. The United States, China, and Italy emerged as the leading three countries in terms of publication numbers, contributing 498 (33.05%), 229 (15.20%), and 140 (9.29%) studies, respectively. The three most active and influential institutions include Huazhong University of Science and Technology, Wuhan University and Harvard Medical School. Ronco C from Italy, holds the record for the highest number of publications, with a total of 15 papers authored. Cheng YC’s work from China has garnered the highest number of citations, totaling 470 citations. The co-occurrence analysis of author keywords reveals that ‘mortality’, ‘intensive care units’, ‘chronic kidney disease’, ‘nephrology’, ‘renal transplantation’, ‘acute respiratory distress syndrome’, and ‘risk factors’ emerge as the primary areas of focus within the realm of COVID-19 AKI. In summary, this study analyzes the research trends in the field of COVID-19 AKI, providing a reference for further exploration and research on COVID-19 AKI mechanisms and treatment. [ABSTRACT FROM AUTHOR]

The COVID‐19 pandemic has caused disruptive changes across different life experiences essential to children's growth and development, including early childcare services and schools, thus threatening precious opportunities for children in early childhood to learn. The pandemic has also undermined the collaborative and alliance relationship between childcare services and families which has been widely considered an important aspect of modern services. This paper presents and discusses results from a mixed‐method exploratory study with early childcare services for children between 0 and 6 years in Italy in 2021, involving both teachers and parents, to understand experiences, educational practices put in place in childcare services, feelings, resources and risks perceived by families and teachers. [ABSTRACT FROM AUTHOR]

The paper aims to analyze the evolution of oil prices and renewable energy production in Italy during the first wave of the COVID-19 pandemic crisis with daily data for the period January 2020-September 2020 through several time series techniques (long memory test and spectral causality analysis) and Wavelet Analysis tools. Italy has been the first country all over the world to be severely hit by the pandemic, reacting immediately with strong restrictive measures. The applied results show that oil prices and renewable energy sources were highly correlated during the pandemic shock. Moreover, causality tests reveal a unidirectional flow running from solar, hydro, and wind sources to oil prices, highlighting the relevance of the effect of the energy transition on the oil market. It is also imperative for a country that is a net energy resources importer to achieve a more sustainable way of production and accelerate the energy transition process, especially during phases of high fossil fuel prices. [ABSTRACT FROM AUTHOR]