Search Results (265)

During the COVID-19 pandemic, some studies suggested that transmission events could originate from schools. This study aimed to evaluate early-warning methods for identifying asymptomatic COVID-19 cases by implementing screening programs in schools. This study was conducted between September 2021 and May 2023, employing a rotation-screening plan for COVID-19 detection on a sample of students aged 14 to 19 years attending secondary schools in the regions of Tuscany, Veneto, Apulia and Friuli-Venezia Giulia. The schools were divided into two groups: experimental and control, with a ratio of 1:2. Two types of molecular salivary tests for SARS-CoV-2 were used to conduct the screening. This study included 16 experimental schools and 32 control schools. Out of 2527 subjects, 11,475 swabs were administrated, with 9177 tests deemed valid for analysis (a 20% loss of tests). Among these, 89 subjects (3.5%) tested positive. In control schools, 1895 subjects (6.5%) tested positive for SARS-CoV-2. This study recorded peaks in infections during the winter and autumn months, consistent with patterns observed in the general population. Beginning in September 2022, a shift occurred, with 2.6% of positive cases reported in the case schools compared to 0.3% in the control schools. Initially, most cases of COVID-19 were detected in the control schools; however, as the pandemic emergency phase concluded, cases were primarily identified through active screening in experimental schools. Although student participation in the active screening campaign was low during the project’s extension phase, this approach was efficacious in the early identification of positive cases. Full article

Objectives: The objectives are to evaluate the influence of different maternal characteristics on ultrasound image quality and operator satisfaction, and to assess, preliminarily, a rating scale to stratify the difficulty level of ultrasound examination in early gestation. Methods: A multicentric observational study of ultrasound scans was carried out on singleton pregnant women undergoing routine gestational ultrasound at 11–14 weeks and 19–21 weeks of gestation at two Prenatal Care Centers in the Apulia region (Southern Italy). Inclusion criteria included the presence of one or more limiting features, i.e., obesity, retroverted uterus, myomas, previous abdominal surgery, and limited echo-absorption. Each woman was given an overall pre-echographic limiting score from 0 to 9. The outcome measure was the operator’s satisfaction with the examination, scored on a Likert scale. Nested linear regression models (raw, semi- and fully adjusted) were built for each of the two trimesters on the pre-ecographic limiting score (0–9 points) as dependent variables, with the operator’s satisfaction as the regressor. Results: The whole sample included 445 pregnant women. The two-center samples did not show statistically different baseline features. The operator’s satisfaction with the sonographic examination was significantly (and inversely) related to the pre-echographic limiting score, regardless of the mother’s age, the operator performing the ultrasound, the Hospital Center where the ultrasound examination was performed, and the duration of the sonographic examination. Conclusions: A number of maternal conditions need to be monitored for good ultrasound performance; using a specific rating scale to stratify the level of difficulty of the ultrasound examination at early gestation could represent a potentially useful tool, although it requires further validation. Full article

Monitoring land cover/use dynamics and wildfire occurrences is very important for land management planning and risk mitigation practices. In this research, moderate-resolution imaging spectroradiometer (MODIS) annual land cover images for the period 2001–2023 are utilized for the twenty administrative regions of Italy. Monthly MODIS burned area images are utilized for the period 2001–2020 to study wildfire occurrences across these regions. In addition, monthly Global Precipitation Measurement images for the period 2001–2020 are employed to estimate correlations between precipitation and burned areas annually and seasonally. Boxplots are produced to show the distributions of each land cover/use type within the regions. The non-parametric Mann–Kendall trend test and Sen’s slope are applied to estimate a linear trend, with statistical significance being evaluated for each land cover/use time series of size 23. Pearson’s correlation method is applied for correlation analysis. It is found that grasslands and woodlands have been declining and increasing in most regions, respectively, most significantly in Abruzzo (−0.88%/year for grasslands and 0.71%/year for grassy woodlands). The most significant and frequent wildfires have been observed in southern Italy, particularly in Basilicata, Apulia, and Sicily, mainly in grasslands. The years 2007 and 2017 experienced severe wildfires in the southern regions, mainly during July and August, due to very hot and dry conditions. Negative Pearson’s correlations are estimated between precipitation and burnt areas, with the most significant one being for Basilicata during the fire season (r = −0.43). Most of the burned areas were mainly within the elevation range of 0–500 m and the lowlands of Apulia. In addition, for the 2001–2020 period, a high positive correlation (r > 0.7) is observed between vegetation and land surface temperature, while significant negative correlations between these variables are observed for Apulia (r ≈ −0.59), Sicily (r ≈ −0.69), and Sardinia (r ≈ −0.74), and positive correlations (r > 0.25) are observed between vegetation and precipitation in these three regions. This study’s findings can guide land managers and policymakers in developing or maintaining a sustainable environment. Full article

In recent years, severe decline and mortality events have been observed in holm oak (Quercus ilex L.) ecosystems in different Italian regions, including Puglia (southern Italy). Given the landscape and ecological relevance of holm oak forests in Apulia, a study was conducted to identify the causal agents related to this complex disease syndrome. The surveys, conducted in winter 2024 in three different woodlands, revealed the widespread occurrence of mature holm oak trees showing sudden death, crown thinning, shoot and branch dieback, sunken cankers, and root rot symptoms. Isolations performed from symptomatic samples collected from both stem and small roots yielded fungal and fungal-like colonies representing two distinct families: Botryosphaeriaceae and Peronosporaceae. Analysis of morphological and DNA sequence data allowed us to identify six distinct species, including Diplodia corticola and D. quercivora (Botryosphaeriaceae), Phytophthora cinnamomi, P. multivora, P. psychrophila, and P. asparagi (Peronosporaceae). For P. asparagi and P. psychrophila, isolated for the first time from declining holm oak trees in Italy, Koch’s postulates were satisfied by inoculating 1-year-old seedlings at the collar in controlled conditions. Thirty days after inoculation, all plants showed the same symptoms observed in the field. Overall, the data obtained highlights the co-occurrence of multiple Botryosphaeriaceae and Phytophthora species on declining holm oak trees and the discovery of a new haplotype of Diplodia quercivora. Full article

Atmospheric parameter acquisition along the vertical profile of the troposphere across different locations on the Earth is of primary importance in gaining knowledge of the evolution of large-scale meteorological systems and the relative movements of air masses. Normally, this happens thanks to the launch, into the atmosphere, of radiosondes connected to balloons filled with helium gas. However, on a small scale, and in particular geomorphological contexts, different and peculiar meteorological situations may arise, in which the air column in the lower layers can behave differently from normal, giving rise to the so-called thermal inversions. In this work, in a particular sinkhole in the Apulia region, the use of a multi-rotor UAV (Unmanned Aerial Vehicle) equipped with a temperature data logger was tested. The flight along the vertical, starting from the lowest point of the sinkhole, made it possible to archive the temperature data of the air column in the first 80 m of altitude. The data validation confirmed the goodness of the UAV acquisitions and their subsequent processing made it possible to extrapolate the vertical temperature profile of the sinkhole during the winter thermal inversion phenomenon. In addition to confirming the predisposition of this sinkhole to strong thermal inversions, the preliminary results of this work have highlighted the efficiency of this new methodology. It has proved to be useful in assessing small-scale vertical profiles of atmospheric variables in a relatively low altitude range. Furthermore, this methodology can represent a strong scientific and technological innovation applicable in the meteorological field and in that of environmental monitoring. Full article

The interconnection between biodiversity loss, food system and climate change is a complex issue with profound implications for global sustainability. Small ruminant farming is a crucial part of addressing these challenges as it contributes to environmental, social, and economic resilience. In Italy, sheep and goat farming is most common in marginal areas with a prevalence of pastoral systems and low mechanization levels. In the Apulia region of Southern Italy, autochthonous small ruminant breeds are at high risk of extinction, due to changing agricultural practices and market pressures. Autochthonous breeds represent valuable genetic resources, adapted to the local environment and capable of producing high-quality products. Apulia boasts an ancient dairy tradition, producing a variety of cheeses from small ruminants, such as Canestrato Pugliese, a Protected Designation of Origin, and four cheeses (Cacioricotta, Pecorino Foggiano, Scamorza di Pecora, and Caprino) recognized as Traditional Agri-Food Products by the Italian Ministry of Agriculture, Food Sovereignty and Forests. These products represent an essential element for biodiversity conservation, encompassing ecosystems, autochthonous breeds, microbial diversity, traditional farming practices, and production systems. This review surveys the main small ruminant native breeds of Apulia region, highlighting their historical significance, distinctive traits, and traditional productions, to help shape strategies for animal biodiversity conservation. Full article

The energy transition from fossil fuels to renewable sources is a key goal for the European Union, among others. Despite significant progress, Italy lags far behind the EU’s target of generating 55% of its electricity from renewables by 2030. The Apulia region in Italy needs to achieve an additional 7.4 GW of installed renewable energy capacity compared to 2021. Renewable energy installations, particularly photovoltaic systems, require land that may compete with other uses like agriculture. This can lead to land-use changes that disrupt agricultural activities. Agrivoltaics (AV) offer a possible solution by allowing energy production and food growing on the same land, which can help alleviate conflicts between energy and food needs, although concerns about landscape impact remain. This study emphasizes the need for effective spatial planning to manage these risks of land use changes and quantify possible agricultural land occupation. A GIS-based analysis was conducted in Apulia using a three-step approach to assess land use and potential AV opportunities: (a) the land protection system identified by the Apulian Landscape Plan was used to obtain a Constraint Map; (b) the agricultural land use and capability classification together with land slope and exposure was used to obtain the AV Availability Map; and (c) agricultural land conversion scenarios were developed to quantify the potential capacity of future AV installations. The results showed that a 0.25% occupation of utilized agricultural land would allow a regional installed AV capacity of 1.3 GW, while doubling this percentage would double the installed capacity to 2.6 GW. The areas potentially involved by AV installations would be 3.25 and 6.50 thousand hectares, reaching 17.5% and 35.0% of the 2030 total renewable energy target. These figures should be considered a reasonable range of AV development in the region, which can contribute both to the energy transition and the support of the agricultural sector, especially in marginal areas. Full article

Climate change increases drought events, resulting in lower agricultural productivity. Almond trees (Prunus dulcis (Mill.) D.A. Webb) are drought-tolerant; however, prolonged periods of water deficit can affect plant growth and productivity. The physiological and molecular responses of two almond genotypes, Filippo Ceo and Tuono, growing in the Apulia region (Italy) under well-watered and drought conditions were evaluated. Results indicate that cv. Filippo Ceo is more drought-tolerant than cv. Tuono, exhibiting higher RWC values, good levels of photosynthetic pigments, and high proline accumulation. This behavior is confirmed by gene expression analysis, which revealed upregulation of drought-responsive genes, indicating a more effective adaptation to stress of cv. Filippo Ceo. In contrast, cv. Tuono experienced greater oxidative damage and diminished physiological response. These findings indicate that cv. Filippo Ceo could be a promising cultivar for drought-prone areas, with implications for targeted breeding and agronomic strategies to improve almond tree production under water-stressed conditions. Full article

Since its first detection in 2013, Xylella fastidiosa subsp. pauca (Xfp) has caused a devastating Olive Quick Decline Syndrome (OQDS) outbreak in Southern Italy. Effective disease surveillance and treatment strategies are urgently needed to mitigate its impact. This study investigates the short-term (1.5 years) effects of thymol-based treatments on infected olive trees of the susceptible cultivar Cellina di Nardò in two orchards in Salento, Apulia region. Twenty trees per trial received a 3% thymol solution either alone or encapsulated in a cellulose nanoparticle carrier. Over two years, sap flux density and canopy-transmitted solar radiation were monitored using TreeTalker sensors, and spectral greenness indices were calculated. Xfp cell concentrations in plant tissues were quantified via qPCR. Neither thymol treatment halted disease progression nor significantly reduced bacterial load, though the Xfp cell concentration reduction increased over time in the preventive trial. Symptomatic trees exhibited increased sap flux density, though the treatment mitigated this effect in the curative trial. Greenness indices remained lower in infected trees, but the response to symptom severity was delayed. These findings underscore the need for longer-term studies, investigation of synergistic effects with other phytocompounds, and integration of real-time sensor data into adaptive disease management protocols. Full article

Due to the rapid expansion of e-commerce and urbanization, Last-Mile Delivery (LMD) faces increasing challenges related to cost, timeliness, and sustainability. Artificial intelligence (AI) techniques are widely used to optimize fleet management, while augmented and mixed reality (AR/MR) technologies are being adopted to enhance warehouse operations. However, existing approaches often treat these aspects in isolation, missing opportunities for optimization and operational efficiency gains through improved information visibility across different roles in the logistics workforce. This work proposes the adoption of novel technological solutions integrated in an LMD framework that combines AI-based optimization of shipment allocation and vehicle route planning with a knowledge graph (KG)-driven decision support system. Additionally, the paper discusses the exploitation of relevant recent tools, including large language model (LLM)-powered conversational assistants for managers and operators and MR-based headset interfaces supporting warehouse operators by providing real-time data and enabling direct interaction with the system through virtual contextual UI elements. The framework prioritizes the customizability of AI algorithms and real-time information sharing between stakeholders. An experiment with a system prototype in the Apulia region is presented to evaluate the feasibility of the system in a realistic logistics scenario, highlighting its potential to enhance coordination and efficiency in LMD operations. The results suggest the usefulness of the approach while also identifying benefits and challenges in real-world applications. Full article

Xylella fastidiosa (Xf) is a pathogenic bacterium which causes severe damage to plants and has been detected in various countries, including Italy, France, Portugal, Spain, Lebanon, Iran, and Israel. In Europe, the first outbreak was observed in olive plants in Apulia, Italy, in 2013. The ease of its transmission, coupled with its ability to remain latent within plants for extended periods, has facilitated its rapid expansion, causing severe damage to the regional olive industry. The early detection of Xf infections is therefore crucial for the containment of its spread and, thus, to minimize crop yield losses. Recent studies described in the literature have assessed the potential of remote sensing for monitoring Xf through applicable machine learning models. In particular, high-resolution hyperspectral and thermal remote sensing imageries acquired by airborne platforms have demonstrated an ability to detect the early symptoms of Xf infection in olive trees. However, further analyses are needed to address technical challenges and validate their effectiveness in vast areas. In this paper, we propose to answer some of these crucial questions, which are also relevant to the future task of setting up an operational system to detect Xf on a large scale. First, we assess whether the size of a data set, composed of a limited number of labelled examples, is sufficient to train accurate classifiers. Then, we evaluate whether a classifier that is trained on data from a specific area can detect infected trees in other places, which are potentially different in terms of cultivars and overall agricultural management. The obtained results demonstrate that with as few as 200 labelled data points (even unbalanced between the two classes of interest of “infected” and “not infected”), it is possible to train classifiers to support the detection of Xf, also across a wide area, obtaining overall classification accuracies greater than 74%. Full article

In recent years, the global demand for food ice cubes has increased. The aim of the study was to evaluate the hygienic quality of both ice and water used for its production. During January–October 2023, 108 ice and water samples were collected in catering locations in Apulia Region and examined for Escherichia coli, Enterococci, total bacterial count (TBC) and fungi. Median counts of E. coli, Coliforms and Enterococci were 0 CFU/100 mL both for ice and water samples, collected in bars (n = 78) and restaurants (n = 30). The median TBCs in ice and water samples were 175 and 43 CFU/mL (p < 0.0001) at 22 °C, and 80 and 30 CFU/mL (p < 0.0001) at 36 °C. Total fungi counts were 4 and 0 CFU/mL for ice and water (p < 0.0001). In restaurants, differences were found between ice and water only for fungal contamination, whereas for bars, a difference was found between ice and water for Coliforms, Enterococci, TBC at 22 °C and fungi. The only statistically significant difference between bars and restaurants was observed for the TBCs at 22 °C (p = 0.017) and 36 °C (p = 0.036). Ice contamination does not appear to be directly related to the hygienic quality of water, but likely linked to the production, storage and maintenance of ice machines. Full article

Background—Endomyocardial fibrosis (EMF) is a chronic restrictive cardiomyopathy endemic to tropical and subtropical regions, characterized by fibrotic thickening of the endocardium, predominantly affecting the ventricular chambers. As global migration increases, cases of EMF may emerge in non-endemic areas, posing a diagnostic challenge for healthcare professionals unfamiliar with this condition. Methods—We report the case of a 21-year-old man of African origin who experienced sudden collapse while residing in a reception center for asylum seekers in Apulia, Southeastern Italy. His medical history revealed that one week prior, he had been presented with high fever, chest pain, and asthenia, symptoms initially misinterpreted as influenza by a local physician, leading to antibiotic therapy. Results—The definitive diagnosis of EMF was established post-mortem through histological examination, which identified characteristic endocardial fibrosis. This case exemplifies the re-emergence of neglected tropical cardiac diseases in Western countries due to increased migration from endemic regions. Conclusions—This case highlights the need for heightened clinical awareness among healthcare professionals, particularly in cardiology and primary care, to recognize and manage geographically displaced diseases such as EMF. Implementing enhanced medical education and diagnostic protocols is essential to address the evolving epidemiological landscape and improve early identification of rare but significant cardiac pathologies in migrant populations. Full article

Background: West Nile virus (WNV) is a mosquito-borne RNA virus, with birds as reservoirs and humans as incidental hosts. WNV often causes asymptomatic infections, but severe neuroinvasive disease occurs in fewer than 1% of human cases. Recent climatic changes and occupational exposure have increased its spread, particularly in Southern Italy. This study aimed to assess WNV seroprevalence and occupational risks among outdoor workers to guide targeted public health interventions. Methods: This cross-sectional study was conducted in the Apulia region, southeastern Italy, from November 2023 to April 2024. Participants completed a detailed questionnaire on socio-demographics, occupational exposure, travel history, and health symptoms. Blood samples were analyzed using enzyme-linked immunosorbent assay (ELISA) and neutralization assays to detect WNV-specific antibodies. Results: 250 outdoor workers in southeastern Italy were recruited, including agricultural workers, veterinarians, forestry workers, and livestock breeders. The latter showed the highest WNV prevalence at 6.5%. Protective measures such as repellent use (β = −0.145, OR = 0.95, p = 0.019) and personal protective equipment (PPE) usage (β = −0.12, OR = 0.94, p = 0.04) significantly reduced the likelihood of WNV infection. Conclusions: The study highlights the significant occupational risk posed by WNV to outdoor workers involved in livestock breeding in Southern Italy, likely due to their frequent exposure to mosquito-prone environments. Tailored public health strategies and education programs are needed to protect high-risk outdoor workers from WNV, amidst the backdrop of changing climatic conditions that favor increased transmission. Full article

Background/Objectives: The identification of driver mutations in NSCLC such as those in the EGFR and KRAS genes has revolutionized the understanding and management of many lung cancer patients and has opened up a new scenario in the early disease stages in terms of therapeutic options (EGFR) and prognosis (KRAS). Data on prevalence rates and disease stage distributions of EGFR and KRAS mutations in surgically resected NSCLC are growing, but in Southern Italy, estimation is limited, since upfront EGFR testing in early-stage adenocarcinoma has been only recently introduced according to the current guidelines in clinical practice, whereas KRAS screening is usually uninvestigated in resected NSCLC. In this real-life study of a single institution in the Apulia Region, we provide an overview of the epidemiological distribution of EGFR and KRAS mutations in patients in Southern Italy with resected NSCLC, highlighting their prevalence, clinical significance, and correlation with demographic and pathological factors. A literature review was also performed to compare our findings with the most recent available data from the screening of Italian cohorts of advanced and surgically resected NSCLC patients. Methods: Data from 149 patients coming from Southern Italy with surgically resected NSCLC were retrospectively collected over a period of 16 years. EGFR and KRAS mutation screenings were performed and correlated with clinical and pathological data. Results: In total, 24 out of 149 NSCLC (16%) patients harbored an EGFR mutation. Exon 19 deletions and missense p.L858R mutations of the EGFR gene have quite similar frequencies (46%) and were more observed in never smokers (p < 0.001) and female (p < 0.001) patients with the adenocarcinoma histotype. KRAS gene mutations were detected in 31.5% of cases, with missense p.G12C (32%), p.G12V (28%), and p.G12D (17%) mutations as the most frequent ones. Neither EGFR nor KRAS mutational status were found to impact overall survival (OS) in our study cohort. Conclusions: Our findings improve the understanding of lung cancer genetics in a small and homogeneous area of Southern Italy and guide future research. The EGFR and KRAS mutations in NSCLC resected patients from Southern Italy showed a global similar incidence compared to other recently described Italian cohorts of advanced and early-stage NSCLC, with a higher frequency of exon19 EGFR deletions. No prognostic impact was observed for both EGFR and KRAS status, but additional investigations on a larger cohort are needed. Full article