Search Results (279)

The COVID-19 pandemic triggered unprecedented economic disruptions, raising critical questions about the resilience and adaptability of macroeconomic productivity across countries. This study examines the impact of COVID-19 on macroeconomic efficiency and productivity dynamics in 37 OECD countries using quarterly data from 2018Q1 to 2024Q4. By employing a Slack-Based Measure Data Envelopment Analysis (SBM-DEA) and the Malmquist Productivity Index (MPI), we decompose total factor productivity (TFP) into efficiency change (EC) and technological change (TC) across three periods: pre-pandemic, during-pandemic, and post-pandemic. Our framework incorporates both desirable (GDP) and undesirable outputs (inflation, unemployment, housing price inflation, and interest rate distortions), offering a multidimensional view of macroeconomic efficiency. Results show broad but uneven productivity gains, with technological progress proving more resilient than efficiency during the pandemic. Post-COVID recovery trajectories diverged, reflecting differences in structural adaptability and innovation capacity. Regression analysis reveals that stringent lockdowns in 2020 were associated with lower productivity in 2023–2024, while more adaptive policies in 2021 supported long-term technological gains. These findings highlight the importance of aligning crisis response with forward-looking economic strategies and demonstrate the value of DEA-based methods for evaluating macroeconomic performance beyond GDP. Full article

Numerous investigations have revealed elevated rates of post-traumatic stress symptoms (PTSS) following COVID-19 infection. This study examined the relation between illness-related and psychosocial variables in the severity of PTSS in individuals previously infected with COVID-19. The study sample included 381 individuals who had been infected with COVID-19 within the previous 4 months. Participants completed online measures of infection symptom severity, ongoing COVID-19 symptom burden, fear of dying and catastrophic thinking. Age, infection severity, ongoing COVID-19 symptom burden, and fear of dying and catastrophic thinking were significant correlates of the severity of PTSS. Hierarchical regression analysis revealed that age, gender, ongoing COVID-19 symptom burden, fear of dying and catastrophic thinking each made unique significant contributions to the prediction of the severity of PTSS. The results of the present study suggest that fear of dying and catastrophic thinking about COVID-19 symptoms might contribute to the development of PTSS following COVID-19 infection. Interventions aimed at reducing death fears and modifying negative and alarmist appraisals of COVID-19 symptoms might contribute to more positive recovery outcomes in individuals who are infected with COVID-19. The cross-sectional design of this study precludes statements about causality, and conclusions about temporal relations among variables must await replication in a longitudinal design. Full article

Background: Since the pathophysiology of long COVID is not yet fully understood, there are no specific methods for its treatment; however, its individual symptoms can currently be treated. Long COVID is characterized by symptoms that persist at least 2 to 3 months after contracting COVID-19, although it is difficult to predict how long such symptoms may persist. Methods: In the present study, 774 patients who first visited our outpatient clinic during the Omicron period from February 2022 to October 2024 were divided into two groups: the early recovery (ER) group (370 cases; 47.8%), who recovered in less than 180 days (median 33 days), and the persistent-symptom (PS) group (404 cases; 52.2%), who had symptoms that persisted for more than 180 days (median 437 days). The differences in clinical characteristics between these two groups were evaluated. Results: Although the median age of the two groups did not significantly differ (40 and 42 in ER and PS groups, respectively), the ratio of female patients was significantly higher in the PS group than the ER group (59.4% vs. 47.3%). There were no significant differences between the two groups in terms of the period after infection, habits, BMI, severity of COVID-19, and vaccination history. Notably, at the first visit, female patients in the PS group had a significantly higher rate of complaints of fatigue, insomnia, memory disturbance, and paresthesia, while male patients in the PS group showed significantly higher rates of fatigue and headache complaints. Patients with more than three symptoms at the first visit were predominant in the PS groups in both genders. Notably, one to two symptoms were predominant in the male ER group, while two to three symptoms were mostly reported in the female PS group. Moreover, the patients in the PS group had significantly higher scores for physical and mental fatigue and for depressive symptoms. Conclusions: Collectively, these results suggest that long-lasting long COVID is related to the number of symptoms and presents gender-dependent differences. Full article

Several studies have revealed that patients with type 2 diabetes (T2D) infected with COVID-19 who were medicated with metformin showed higher recovery rates than those administered other antidiabetic drugs. To determine the mechanism of action of antidiabetic drugs against COVID-19, we developed a mathematical model that was based on the number of infected and recovered T2D patients. Moreover, the “diagnostic frequencies” of the infected T2D patients, determined using Fourier-Transform Infrared (FTIR) spectroscopy, were very helpful. In particular, the band at 1775 cm⁻¹, attributed to IgG antibodies, could be used as a “diagnostic frequency” for COVID-19 infection. The increased intensity of the band of vC-O-C sugar moieties suggests an increased number of OH chemical groups that enhance the binding sites of SARS-CoV-2 spike protein for entering host cells. The changes were more pronounced in patients medicated with thiazolidinediones than those using insulin and metformin. Both FTIR spectra and the developed mathematical model confirmed that patients using thiazolidinediones showed a higher risk of COVID-19 infection and mortality. The data support the hypothesis that the NH chemical groups of metformin molecules interact directly through the SARS-CoV-2 spike protein, preventing the entry of COVID-19 into the host membrane cells. Indirectly, metformin inhibits the host binding sites for COVID-19 entry by lowering AGE production. Full article

This paper investigates the dynamics of energy poverty across EU Member States from 2015 to 2023, a period characterized by economic recovery, the COVID-19 pandemic, and a significant energy crisis. Utilizing Eurostat EU-SILC data, the study analyzes trends in four key indicators: the inability to keep homes adequately warm, arrears on utility bills, housing cost overburden rate, and the at-risk-of-poverty rate. Data processing and trend analysis were performed using R and RStudio, while a k-means cluster analysis, executed in Python via Visual Studio Code, identified and compared distinct country groupings based on their energy poverty profiles in 2015 and 2023. The findings reveal a general improvement in energy poverty indicators across the EU until 2019, followed by a marked deterioration, particularly in energy affordability metrics post-2021 due to the energy crisis. This impact was observed to be distinct from general income poverty trends. While significant geographical disparities persist, with Southern and Eastern European countries often more vulnerable, the analysis also points to notable improvements in several Central and Eastern European nations. The cluster analysis, which identified eight clusters in 2015 and seven in 2023, suggests a degree of partial convergence. Key shifts include Poland’s transition to a lower-risk cluster and Spain’s move to a higher-risk group, while Southern Europe generally remains highly susceptible. This research underscores the dynamic and multifaceted nature of energy poverty, highlighting the necessity for targeted, context-specific policies. Addressing energy poverty is crucial for enhancing household resilience and achieving truly comprehensive energy security throughout the EU, especially amid the ongoing energy transition and potential future socio-economic shocks. Full article

Background/Objectives: The need for the scientific validation of traditional and folk medicine knowledge has emerged lately. Achyrocline satureioides inflorescences have been widely used for the management of mild viral respiratory infection symptoms in South Brazil, Uruguay and Argentina. We intended to assess the therapeutic efficacy of a 14-day course with A. satureioides for mild viral respiratory infection symptoms. Methods: We conducted a randomized, open-label, placebo-controlled trial. Before COVID-19 (SARS-CoV-2) diagnostic tests, participants were randomly assigned to one of two experimental groups: A. satureioides or Malus domestica infusions, with instructions to use the infusions twice a day for 14 days. Our primary endpoint was the recovery time for respiratory symptoms in the overall analysis; the secondary outcomes were the recovery time for non-respiratory symptoms and for stratified analysis, taking into account the vaccination status against SARS-CoV-2 and COVID-19 infection; and the rate of symptom recovery was also evaluated. Results: The A. satureioides infusion significantly accelerated the resolution of sore throat and sneezing compared with the control group. The participants with COVID-19 who had not been vaccinated and received A. satureioides infusion recovered faster from sore throat, body ache, fever and cough, and showed a shorter median survival time for symptom resolution. The SARS-CoV-2-negative group that received A. satureioides had a faster improvement in the survival analysis of sore throat, earache and loss of appetite. Conclusions: Our findings support the hypothesis that Achyrocline satureioides inflorescence infusions may offer therapeutic benefits in the management of mild viral respiratory infections, as its administration was associated with a significantly accelerated resolution of clinical symptoms. This study was registered in the Brazilian Registry of Clinical Trials (ReBEC; registration number RBR-8g6f2rv) on 27 January 2022. Full article

Background/Objectives: Patients recovering from COVID-19 often experience persistent respiratory symptoms, necessitating pulmonary function monitoring. While clinical spirometry is the gold standard, home spirometry offers a remote alternative. This study evaluated the validity of an ultrasonic home-based spirometer for monitoring lung function in post-COVID-19 pneumonia patients over 12 weeks. Methods: This prospective study included 30 post-COVID pneumonia patients who underwent clinical spirometry at weeks 4, 8 and 12. Participants performed weekly home spirometry using the SpiroHome Personal^® device. Agreement between home and clinical spirometry was assessed using a Bland–Altman analysis, intraclass correlation coefficients (ICCs), and Pearson correlation coefficients. Pulmonary function changes over time were analyzed using repeated measures ANOVA. Results: Home spirometry showed strong agreement with clinical spirometry for forced vital capacity (FVC) and forced expiratory volume in the first second (FEV1), with ICC values exceeding 0.92. The Bland–Altman analysis demonstrated minimal bias, though limits of agreement exceeded the clinically accepted threshold of ±150 mL. FEV1/FVC ratios showed greater variability. Pulmonary function improved significantly over 12 weeks for both methods (p < 0.002). Patient adherence to home spirometry remained high, with a median of 18.50 sessions [IQR: 15.00–26.00] and an overall compliance rate of 98.33% ± 9.13%. Conclusions: Home spirometry provides reliable pulmonary function measurements, particularly for FVC and FEV1, supporting its role as a remote monitoring tool. Despite minor variability in FEV1/FVC, home spirometry enables frequent assessment of lung function recovery, potentially reducing hospital visits and improving patient management. Full article

The evolving macroeconomic landscape, shaped by the global financial crisis and the COVID-19 pandemic, poses significant challenges for economies worldwide. However, Central, Eastern, and Southeastern European (CESEE) countries have demonstrated resilience and rapid recovery during crises, driven by a surge in consumption fueled by domestic credit and robust export growth supported by flexible exchange rates and adaptive monetary policies. Prior to EU accession, substantial foreign direct investment (FDI) during privatization and restructuring facilitated knowledge and technology transfers in CESEE economies. This study examines the interplay of exports, real exchange rates, GDP growth, FDI, inflation, domestic credit, and the human development index (HDI) in the CESEE region from 1995 to 2022, covering the transition period, EU accession, and major crises. Employing a panel ARDL model, we account for asymmetric effects of these variables on exports. The results reveal that GDP, FDI, inflation, domestic credit, and HDI significantly and positively influence exports, with HDI and GDP exerting the strongest effects, underscoring the pivotal roles of human capital and economic growth in enhancing export competitiveness. Conversely, real exchange rate depreciation negatively impacts exports, though non-price factors, such as product quality, mitigate this effect. These findings provide a robust basis for targeted policy measures to strengthen economic resilience and export performance in the CESEE region. Full article

Wastewater-based molecular epidemiology enables the surveillance of both symptomatic and asymptomatic individuals in a non-invasive, cost-effective, rapid, and early-detection manner. The use of wastewater analysis to monitor the prevalence of viral pathogens in a given population has increased significantly since the COVID-19 pandemic. These studies typically involve three main steps: viral concentration, nucleic acid extraction, and DNA/RNA quantification. However, the absence of a standardized methodology remains a major limitation, hindering result comparability across studies. Among the available viral concentration techniques, aluminum-based adsorption–precipitation is one of the most commonly used due to its simplicity, efficiency, and low cost. This study evaluates the robustness and variability of the viral concentration and nucleic acid extraction steps by implementing different process controls in wastewater samples across 122 independent experiments. Additionally, correlations between viral recovery efficiencies and relevant physicochemical parameters were also analyzed (n = 600). The results indicate that, despite the overall robustness of the method, the concentration step exhibits the highest variability (CV = 53.82%), which accounted for 53.73% of the overall variability. In addition, our results show that, on average, 0.65 logarithmic units were lost during the viral concentration step. Furthermore, viral recovery rates were influenced by seasonality and sample characteristics, while no significant correlation was observed with pH or conductivity. These findings highlight the importance of process controls, confirming the robustness of the methodology, and identifying key parameters that should be considered in future studies for improved data interpretation. Full article

This article presents an innovative methodology for enhancing statistical databases as reliable sources of information. The study leverages data from “Big Data of the Modern Global Economy: A Digital Platform for Data Mining—2020”, which serves as a digital tool designed to predict economic development at both global and national levels, particularly in the context of the COVID-19 crisis and its aftermath. Utilizing a dataset focused on the G7 and BRICS nations as a case study, we assemble forecasts for several key indicators: the Digital Competitiveness Index, Global Innovation Index, Human Development Index, Gross Domestic Product (GDP), Economic Growth Rate, GDP per Capita, Quality of Life Index, Happiness Index, and Sustainable Development Index for 2021. Additionally, we conducted a plan-fact analysis. The accuracy of the post-pandemic economic recovery forecast is validated through comparison with actual data. Furthermore, this research provides statistical analyses and forecasts to minimize uncertainty during crises, considering the interconnected nature of climate change and financial factors inherent in these crises. Full article

This study explores how rural tourism destinations in the Eastern Carpathians of Romania have recovered in the aftermath of the COVID-19 pandemic. Using data from 2016–2019 and 2021–2023, five core indicators—tourist arrivals, overnight stays, accommodation capacity, occupancy rates, and active units—were analyzed at the local level. Based on these indicators, a cluster analysis was conducted for us to identify groups of communes with similar tourism performance profiles. After clustering, composite indicators were calculated to track how each group evolved over time. The findings show that recovery has not been uniform: while some destinations bounced back or even improved, others continue to face structural challenges. These results suggest that local infrastructure, destination type, and governance capacity all play a role in shaping recovery paths. The paper offers a spatial overview of rural tourism dynamics and highlights the value of using data-driven tools for understanding uneven development in post-crisis contexts. Full article

Background/Objectives: COVID-19 poses significant physiological challenges for athletes, particularly those engaged in high-intensity intermittent sports such as ice hockey. This study aimed to evaluate the impact of SARS-CoV-2 infection—especially symptomatic cases—on aerobic and anaerobic performance in professional ice hockey players. Methods: Fifty athletes from the Polish Hockey League were assigned to three groups: control (CG, n = 13), asymptomatic COVID-19 (NSG, n = 28), and symptomatic COVID-19 with post-infection SpO₂ < 90% (WSG, n = 9). Each underwent assessments at three time points—pre-preparatory period 2020/2021, post-preparatory period 2020/2021, and pre-preparatory period 2021/2022. Aerobic capacity was measured via a progressive cycle ergometer test (VO₂max, VO₂ at lactate threshold [VO_2Lt], minute ventilation [V’E], breathing frequency [BF], and lactate clearance rate [ΔLa]), and anaerobic capacity via a 30 s Wingate test (relative mean power). Results: Compared with CG and NSG, symptomatic athletes exhibited significant post-infection declines in VO₂max (48.2 ± 2.9 vs. 56.2 ± 6.2 and 54.6 ± 3.9 mL/kg/min; p = 0.006, d = 1.56 vs. CG; p < 0.024, d = 1.79 vs. NSG) and VO_2Lt (p < 0.05). Relative mean power also decreased in WSG (p < 0.05). In contrast, CG and NSG improved or maintained these metrics over the same period. Symptomatic players showed elevated BF post infection (p = 0.022, d = 1.72) and reduced V’E (p = 0.035; d = 0.83), while ΔLa was markedly lower (p = 0.0004; d = 2.86). Conclusions: SARS-CoV-2 infection, particularly symptomatic cases, can significantly impair both aerobic and anaerobic capacity in elite hockey players. Targeted recovery protocols are essential for restoring performance in affected athletes. Full article

Background/Objectives: Epidemics have historically shaped societies, influencing demographic structures, social organization, and economic stability. The 1742–1743 epidemic had a profound impact on populations along the Royal Road (Camino Real), the main colonial corridor between Buenos Aires and Lima. However, its specific demographic and socio-economic effects remain underexplored. This study aims to examine these impacts of the 1742–1743 epidemic through a comparative analysis of urban centers and Indigenous communities. Methods: A historical–comparative approach was employed, analyzing secondary sources including parish records and colonial administrative documents. This study assessed excess mortality and socio-economic consequences across different population groups and settlement types. Results: Mortality rates increased dramatically—up to twelve times the pre-epidemic average in Cordova (Córdoba) and by 45% in Santa Fe—disproportionately affecting Indigenous and enslaved populations. Urban centers experienced severe economic disruption and slow recovery, whereas Indigenous communities and Jesuit missions demonstrated greater resilience. Their communal strategies and early isolation measures contributed to a faster demographic stabilization. Additionally, the epidemic weakened colonial governance in some areas, altering local power structures. Conclusions: The epidemic of 1742–1743 revealed divergent patterns of vulnerability and resilience. Comparative analysis underscores recurring themes in the epidemic response and recovery, drawing relevant parallels with contemporary crises such as COVID-19. Recognizing these historical patterns of adaptation can inform present and future public health strategies. The terminology “plague” is used based on contemporary sources and not confirmed clinically. Full article

Purpose: Post-COVID-19 syndrome (PCS) is characterized by low cardio-respiratory fitness (CRF). Recent research focuses on the role of autonomic nervous system dysfunction (AD) as a potential contributor to the diminished exercise performance. The aim is to determine the prevalence of AD—chronotropic insufficiency (CI) and abnormal heart rate recovery (HRR) in long-term PCS subjects and to analyse their association with exercise capacity. Patients and Methods: A total of 192 subjects with a history of SARS-CoV-2 infection were included. Chronic Fatigue Syndrome Questionnaire (CFSQ) was applied, and two symptomatic and asymptomatic emerged. Forty-seven had post-COVID complaints, persisting up to thirty months post-acute episode. CI and HRR were determined during the cardio-pulmonary exercise test (CPET). Results: Symptomatic subjects were divided into mild (20) and moderate-severe (27), depending on the CFSQ score; forty-eight PCS subjects without complaints served as a control group. Subjects with moderate-severe PCS showed lower peak VO2 (24.13 ± 6.1 mL/min/kg vs. 26.73 ± 5.9 mL/min/kg, vs. 27.01 ± 6.3 mL/min/kg), as compared to the mild/asymptomatic subjects. Diminished physical activity was established in 10 (37%) of the moderate-severe, 7 (35%) of the mildly symptomatic and 14 (29%) of the asymptomatic groups. The occurrence of AD in the mild/moderate-severe and control groups were, respectively, CI 35% vs. 81.5% vs. 12.5%. Abnormal HRR was, respectively, 20% vs. 33% vs. 8%. None of the subjects had depleted breathing reserve, dynamic hyperinflation, exercise bronchospasm or desaturation. Neither CI nor abnormal HRR correlated to peak O2. Conclusions: AD is present among long-term PCS subjects and may limit the cardio-respiratory response to exercise but is not independently associated with it. Assuming the multiorgan ANS innervation, it is highly probable that AD has diverse pathological pathways in the various PCS phenotypes and contributes differently by cerebral, cardiovascular, respiratory, peripheral or mixed pathways to the diminished neuro-cognitive and physical performance. Full article

Background: The purpose of this study was to investigate the incidence and impact of neuropsychological symptoms related to long COVID syndrome to better understand, characterize, and treat symptoms. Methods: A retrospective chart review was performed utilizing de-identified patient data obtained from UConn Health’s Long COVID Clinic and Recovery Center within the Department of Pulmonary, Critical Care, and Sleep Medicine in Farmington, CT between March 2020 and August 2022. A total of 155 patients were included, and data was collected via standardized patient questionnaires. These included a review of systems, followed by physical examination and further diagnostic testing and treatment as indicated. Results: Of the 155 patients, many were female (females n = 102 versus males n = 53) and more than 60% of patients were between 41 and 60 years of age. This was despite higher hospitalization rates in males (n = 24, 45.3%) and those over the age of 71 (n = 7, 70.0%). Most patients did report experiencing neuropsychological symptoms attributed to long COVID syndrome, which unfortunately did not correlate with diagnostic modalities such as brain imaging in most cases. Conclusions: In the aftermath of the COVID-19 pandemic, patients have been left with lingering symptoms now defined as long COVID syndrome. Our study highlights the extent of neuropsychiatric symptom burden in the setting of long COVID syndrome. Pathophysiological mechanisms in the development of long COVID syndrome in certain patient cohorts are not well understood, and are believed to be secondary to immune system dysregulation leading to chronic inflammation. Full article