COVID-19 Pandemic Period Research Articles

Wavelet Based Semblance Analysis of Anthropogenic Aerosol Control on Air Quality During the COVID-19 Pandemic Period

Wavelet Based Semblance Analysis of Anthropogenic Aerosol Control on Air Quality During the COVID-19 Pandemic Period

Specific persistent symptoms of COVID-19 and associations with reinfection: a community-based survey study in southern China.

Surveillance remains fundamental to understanding the changes in epidemiological patterns regarding post-COVID conditions and reinfections. Persistent symptoms and reinfection in previously infected individuals are increasing being reported in many countries, but their associations among general populations were seldomly reported. Understanding the association with persistent symptoms of COVID-19 reinfection is essential to develop strategies to mitigate the long-term health and socio-economic impacts of the post-COVID conditions. This study aimed to investigate the incidence of COVID-19 persistent symptoms among previously infected Chinese community residents and explore associations of specific COVID-19 persistent symptoms with reinfection and other factors. A community-based survey was conducted in a southern city of China with about 20 million residents from August 3 to 24, 2023. Face-to-face questionnaires were distributed to a total of 1,485 residents to collect their information about COVID-19 infection, reinfection, specific ongoing persistent symptoms, and other COVID-19 related information. Multivariable logistic regression analysis was used to examine the association between specific persistent symptoms and reinfection of COVID-19, along with age, gender, and educational level. Of the 1,485 participants, 1,089 (73.3%) reported they had been infected with COVID-19. Among them, 89.1% reported having ongoing persistent symptoms and 14.2% reported had two or more times of infection. About 20% participants were infected 1 year or more since their initial infection. Fatigue, cough, and headaches were the top 3 symptoms being reported. Participants with reinfection were associated with a higher probability of reporting headaches (OR: 1.54, 95% CI: 1.06-2.25), loss of or change in smell and/or taste (OR: 1.90, 95% CI: 1.27-2.83), impaired sleep (OR: 1.55, 95% CI: 1.02-2.35), and brain fog (OR: 1.76, 95% CI: 1.12-2.76). Participants aged 45 and above and who had a bachelor's or higher degree were more likely to report chest tightness or shortness of breath, impaired sleep, and brain fog. During the post-emergency period of COVID-19 pandemic, the incidence of ongoing persistent symptoms among Chinese residents remains high. Individuals whose initial infection was longer than 1 year have the highest probability of reporting having multiple symptoms. Reinfection may increase the risk of reporting headaches, loss of or change in smell and/or taste, impaired sleep, and brain fog. It is important to maintain routine syndromic surveillance among previously infected people and provide recommendations for clinical management of individuals with multiple ongoing symptoms.

Enhancing Emergency Department Management: A Data-Driven Approach to Detect and Predict Surge Persistence.

The prediction of patient attendance in emergency departments (ED) is crucial for effective healthcare planning and resource allocation. This paper proposes an early warning system that can detect emerging trends in ED attendance, offering timely alerts for proactive operational planning. Over 13 years of historical ED attendance data (from January 2010 till December 2022) with 1,700,887 data points were used to develop and validate: (1) a Seasonal Autoregressive Integrated Moving Average with eXogenous factors (SARIMAX) forecasting model; (2) an Exponentially Weighted Moving Average (EWMA) surge prediction model, and (3) a trend persistence prediction model. Drift detection was achieved with the EWMA control chart, and the slopes of a kernel-regressed ED attendance curve were used to train various machine learning (ML) models to predict trend persistence. The EWMA control chart effectively detected significant COVID-19 events in Singapore. The surge prediction model generated preemptive signals on changes in the trends of ED attendance over the COVID-19 pandemic period from January 2020 until December 2022. The persistence of novel trends was further estimated using the trend persistence model, with a mean absolute error of 7.54 (95% CI: 6.77-8.79) days. This study advanced emergency healthcare management by introducing a proactive surge detection framework, which is vital for bolstering the preparedness and agility of emergency departments amid unforeseen health crises.

Personal Competence or Environmental Characteristics? Factors Influencing Happiness among Ageing Adults in Hong Kong Around the Period of COVID-19 Pandemic.

Drawing upon person-environment fit perspective, this study examines the joint and interactive influences of personal competence and environmental characteristics on the happiness of ageing adults around the period of COVID-19 pandemic. Data was collected in two rounds, before and during the pandemic, with 2,028 participants aged 55 years and older in Hong Kong. Personal competence encompassed financial status, physical health, and mental capital, while environmental characteristics included experiences of ageism, perceived social conditions, and age-friendly policies. Ordinary least squares regression was used to examine personal and environmental influences on happiness. Results indicated a significant decline in happiness following the onset of COVID-19 pandemic. Mental capital was found to have the strongest positive influence on happiness, followed by physical health, financial status, and social conditions. Mental capital mitigated the negative relationship between experiences of ageism and happiness. Practical interventions are informed to improve the well-being of ageing adults during pandemic.

The impact of the COVID-19 Pandemic on hypertension phenotypes (ESH ABPM COVID-19 study)

ObjectiveThe COVID-19 pandemic had a major impact on medical care. This study evaluated the influence of the pandemic on blood pressure (BP) control and hypertension phenotypes as assessed by office and 24-hour ambulatory BP monitoring (ABPM). Design and MethodsData were collected from 33 centers including Excellence Centers of the European Society of Hypertension. Two groups of patients with treated hypertension were compared. Pandemic group: including participants who had ABPM twice - at visit 2 during the COVID-19 pandemic and visit 1 performed 9–15 months prior to visit 2. Pre-pandemic group: had ABPM at two visits, performed before the pandemic within 9–15 months interval. We determined the following hypertension phenotypes: masked hypertension, white coat hypertension, sustained controlled hypertension (SCH) and sustained uncontrolled hypertension (SUCH). We analyzed the prevalence of phenotypes and their changes between visits. ResultsData of 1419 patients, 616 (43 %) in the pandemic group and 803 (57 %) in the pre-pandemic group, were analyzed. At baseline (visit 1), the prevalence of hypertension phenotypes did not differ between groups. In the pandemic group, the change in hypertension phenotypes between two visits was not significant (p = 0.08). In contrast, in the pre-pandemic group, the prevalence of SCH increased during follow-up (28.8 % vs 38.4 %, p < 0.01) while the prevalence of SUCH decreased (34.2 % vs 27.8 %, p < 0.01). In multivariable adjusted analysis, the only factor influencing negative changes of hypertension phenotypes was the COVID-19 pandemic period. ConclusionThese results indicate a negative impact of the COVID-19 pandemic on BP control assessed by hypertension phenotypes.

Strategies to Mitigate the Pandemic Aftermath on Perioperative Professionalism

This retrospective comparative cohort study aimed to evaluate the effects of COVID-19 on professionalism within the perioperative environment of a tertiary cancer center across three periods: pre-pandemic, pandemic, and an interventional endemic phase. A retrospective observational review of a prospectively maintained safety event report (SER) database at MD Anderson Cancer Center, with an intervention during the COVID-19 endemic phase, was conducted. This was performed to compare the incidence of professionalism-related events (PRE), which are included in the SER database, during the COVID-19 pandemic period (March 2020 to May 2022), with a pre-pandemic period (September 2011 to February 2020) and a postintervention endemic phase (June 2022 to March 2023). Study interventions included the application of the Vanderbilt Professionalism Escalation Model with broad staff and surgical team education. During the study period, 17,425 SERs were reviewed. Of these, 11,731 (mean 115.0 SERs/month) were reported in the pre-pandemic period, 4,004 SERs (mean 148.3 SERs/month) in the pandemic period, and 1,690 SERs (mean 169.0 SERs/month) in the endemic phase (p = 0.001). There was a statistically significant increase in the incidence of PRE during the pandemic compared to the pre-pandemic and endemic periods. Specifically, 264 PRE (1.5%) were identified during the study period: 114 PRE (mean 1.1 PRE/month) in the pre-pandemic period, 121 PRE (mean 4.5 PRE/month) in the pandemic period, and 29 PRE (mean 2.9 PRE/month) in the endemic phase (p = 0.001). The increase in PRE during the pandemic period corresponded to a concomitant increase in staff turnover rates (15.5%) compared to the pre-pandemic period (8.3%). However, a time shift of four months into the postintervention endemic phase demonstrated a successful reduction to less than pre-pandemic levels of staff turnover (6.7%, p = 0.001). The COVID-19 pandemic was associated with a significant increase in SERs describing professionalism lapses among health care providers in the perioperative environment. Hospital organizations must recognize the impact of professionalism on morale and turnover and seek to mitigate its effects. Education, promoting individual accountability, confidential reporting, addressing wellness concerns, and providing modes of resilience can enhance workplace culture and potentially cultivate better employee retention rates.

Candidaemia and Central Line-Associated Candidaemia in a Network of Indian ICUs: Impact of COVID-19 Pandemic.

Candidaemia is a potentially life-threatening emergency in the intensive care units (ICUs). Surveillance using common protocols in a large network of hospitals would give meaningful estimates of the burden of candidaemia and central line associated candidaemia in low resource settings. We undertook this study to understand the burden and epidemiology of candidaemia in multiple ICUs of India, leveraging the previously established healthcare-associated infections (HAI) surveillance network. Our aim was also to assess the impact that the pandemic of COVID-19 had on the rates and associated mortality of candidaemia. This study included adult patients from 67 Indian ICUs in the AIIMS-HAI surveillance network that conducted BSI surveillance in COVID-19 and non-COVID-19 ICUs during and before the COVID-19 pandemic periods. Hospitals identified healthcare-associated candidaemia and central line associated candidaemia and reported clinical and microbiological data to the network as per established and previously published protocols. A total of 401,601 patient days and 126,051 central line days were reported during the study period. A total of 377 events of candidaemia were recorded. The overall rate of candidaemia in our network was 0.93/1000 patient days. The rate of candidaemia in COVID-19 ICUs (2.52/1000 patient days) was significantly higher than in non-COVID-19 ICUs (1.05/patient days) during the pandemic period. The rate of central line associated candidaemia in COVID-19 ICUs (4.53/1000 central line days) was also significantly higher than in non-COVID-19 ICUs (1.73/1000 central line days) during the pandemic period. Mortality in COVID-19 ICUs associated with candidaemia (61%) was higher than that in non-COVID-19 ICUs (41%). A total of 435 Candida spp. were isolated. C. tropicalis (26.7%) was the most common species. C. auris accounted for 17.5% of all isolates and had a high mortality. Patients in ICUs with COVID-19 infections have a much higher risk of candidaemia, CLAC and its associated mortality. Network level data helps in understanding the true burden of candidaemia and will help in framing infection control policies for the country.

Students’ eating styles and palatable eating motives during the COVID-19 pandemic

This study aimed to describe students’ driving factors of eating behavior, namely eating-styles and palatable-eating-motives, and to determine clusters based on both. Conducted during the COVID-19 pandemic, this cross-sectional study was carried out in response to the intervention program, the nusantara movement to reduce obesity rate (gerakan nusantara tekan angka obesitas (GENTAS)), launched by the Indonesian government to reduce obesity rate. Involving general population, 135 undergraduate students at a university in Bandung, Indonesia (the average age was 20.5 years, 71.9% of them were female) were selected using multi-stage-cluster-sampling. Data was collected through online questionnaires and was analyzed using SPSS 22.00 for Mac. Results indicated that participants’ eating behavior was generally more characterized by uncontrolled-eating-style, and participants’ eating palatable foods was more driven by the motive of reward-enhancement. This study obtained three clusters, including the cluster composed of emotional-eating-style and coping-motives, the cluster involving cognitive-restraint-eating-styles, and the cluster composed of uncontrolled-eating-style and all palatable-eating-motives. Findings about the clusters brought possibilities to develop new approach in eating behavior intervention for GENTAS’ implementation among students, focusing on tailored intervention based on the cluster of the individual participant, and utilizing the available channels at the institution. An online or hybrid intervention was an introduced choice that was relevant during COVID-19 pandemic and non-COVID period.

Disaster Risk Management and Resilience Assessment of Small Communities in Iran

One of the main challenges facing rural areas in Iran is a lack of disaster risk management. This calls for a comprehensive framework for assessing resilience in small communities. This study seeks to establish such a framework based on the general principles of the Sendai Framework. So, an attempt is made to use a combination of quantitative and qualitative methods to operationalize and score indicators and risk management components, and then choose one of the rural areas in northern Iran as a sample for the framework’s implementation. The results show that a resilience assessment on small communities should do two things: outline the resilience situation and create a platform for dialogue and mutual thinking. Residents should be able to talk about risk reduction continuously and purposefully and take small, purposeful steps in this direction. It seems that Iran’s centralized planning system is more flexible in entrusting affairs to small communities and is more likely to form active cooperative cores. For this reason, it can be seen that voluntary activities have played an essential role in providing social services during the COVID-19 pandemic and quarantine period, and the volunteers themselves have also benefited from voluntary activities. As a result, volunteer groups have gained opportunities to promote local development and foster ownership and responsibility. However, there are concerns about the sustainability of these activities, which are related to the two issues of ensuring financial stability and providing volunteers in the long term.

The Profile of Bacterial Infections in a Burn Unit during and after the COVID-19 Pandemic Period.

Infections represent a major complication for burn-injured patients. The aim of this study was to highlight the changes in the incidence and antimicrobial resistance of bacterial strains isolated from burn patients, at the end of the COVID-19 pandemic, in relation to the antibiotics used during the pandemic. A comparative analysis of the demographic data and the microorganisms identified in the clinical samples of two groups of burn patients admitted to a university hospital in Romania was carried out. The first group consisted of 48 patients and the second of 69 patients, hospitalized in January-August 2020 and 2023, respectively. The bacterial species with the highest incidence were S. aureus, A. baumannii, Pseudomonas spp. The significant changes between 2023 and 2020 are reflected in the increase in the frequency of non-fermentative Gram-negative bacteria, especially S. maltophilia, and the increase in antimicrobial resistance of Pseudomonas and Klebsiella spp. Klebsiella spp. did not change in frequency (7%), but there was a significant increase in the incidence of K. pneumoniae strains with pan-drug resistant behaviour to antibiotics (40%), including colistin. The phenomenon can be explained by the selection of specimens carrying multiple resistance genes, as a result of antibiotic treatment during the COVID-19 period. The post-pandemic antimicrobial resistance detected in burn patients indicates the need for permanent surveillance of the resistance trends, primarily due to the limited therapeutic options available for these patients.

Nationwide upsurge in invasive disease in the context of longitudinal surveillance of carriage and invasive Streptococcus pyogenes 2009-2023, the Netherlands: a molecular epidemiological study.

Since 2022, many countries have reported an upsurge in invasive group A streptococcal (iGAS) infections. We explored whether changes in Streptococcus pyogenes carriage rates or emergence of strains with potentially altered virulence, such as emm1 variants M1UK and M1DK, contributed to the 2022/2023 surge in the Netherlands. We determined emm (sub)type distribution for 2,698 invasive and 351 S. pyogenes carriage isolates collected between January 2009 and March 2023. Genetic evolution of emm1 was analyzed by whole-genome sequencing of 497 emm1 isolates. The nationwide iGAS upsurge coincided with a sharp increase of emm1.0 from 18% (18/100) of invasive isolates in Q1 2022 to 58% (388/670) in Q1 2023 (Fisher's exact test, P < 0.0001). M1UK became dominant among invasive emm1 isolates in 2016 and further expanded from 72% in Q1 2022 to 96% in Q1 2023. Phylogenetic comparison revealed evolution and clonal expansion of four new M1UK clades in 2022/2023. DNase Spd1 and superantigen SpeC were acquired in 9% (46/497) of emm1 isolates. S. pyogenes carriage rates and emm1 proportions in carriage isolates remained stable during this surge, and the expansion of M1UK in iGAS was not reflected in carriage isolates. During the 2022/2023 iGAS surge in the Netherlands, expansion of four new M1UK clades was observed among invasive isolates, but not carriage isolates, suggesting increased virulence and fitness of M1UK compared to contemporary M1 strains. The emergence of more virulent clades has important implications for public health strategies such as antibiotic prophylaxis for close contacts of iGAS patients.IMPORTANCEThis study describes the molecular epidemiology of invasive group A streptococcal (iGAS) infections in the Netherlands based on >3,000 Streptococcus pyogenes isolates from both asymptomatic carriers and iGAS patients collected before, during, and after the COVID-19 pandemic period (2009-2023) and is the first to assess whether changes in carriage rates or carried emm types contributed to the alarming post-COVID-19 upsurge in iGAS infections. We show that the 2022/2023 iGAS surge coincided with a sharp increase of emm1, particularly the toxicogenic M1UK variant, in invasive isolates, but not in carriage isolates. These findings suggest that increased virulence and fitness of M1UK likely contributes to an increased dissemination between hosts. The emergence of a more virulent and fit lineage has important implications for iGAS control interventions such as antibiotic prophylaxis for close contacts of iGAS patients and calls for a reappraisal of iGAS control interventions and guidelines.

Analysis of Sexually Transmitted Infections during the COVID-19 pandemic in Brazil

Objective: To analyze the trend and impact that COVID-19 had on the notifications of STIs (HIV/AIDS, Syphilis, HBV, and HCV) in Brazil. Methods: This is an ecological study, analyzing the temporal trend of STIs notifications based on the detection rate of infections across the five geographical regions of Brazil from 2015 to 2021. The trend analysis from 2015 to 2021 was conducted using a linear regression model for historical series. To assess the impact of the pandemic, the expected cases were compared with the observed cases for the years 2015 to 2021. A significance level of 5% was established, with trend analyses conducted using the Joinpoint Regression Program, and the expected values were estimated using the R software. Results: The results demonstrate that there was a sharp decrease in the detection rates of mandatory notifiable STIs in Brazil during the COVID-19 pandemic period, and this trend was reflected across all regions of the country. Conclusion: During the COVID-19 pandemic, there was a reduction in STIs notifications. These results support the establishment of surveillance and health care strategies to minimize the impact of delays in the diagnosis and treatment of these infections.

Dinamika Kinerja Keuangan Perusahaan di Sektor Kesehatan, Keuangan, dan Teknologi

This study explores the financial performance comparison of three major service sectors: healthcare, finance, and technology, with a focus on liquidity, solvency, activity, and profitability. Using data from 2021 and 2022, the study aims to provide in-depth insights into the financial strengths and weaknesses of each sector during the Covid-19 pandemic period. The analysis involves comparing the financial ratios of selected companies within each sector to industry averages to identify trends, differences, and potential issues. The results show that the healthcare sector has the highest liquidity, solvency, and profitability among the three sectors. The finance sector demonstrates the highest operational efficiency compared to the other two sectors but has the lowest liquidity, solvency, and profitability. The technology sector shows adequate liquidity, solvency, and profitability but lacks efficiency in its operations. Future strategies for the healthcare sector should include diversifying investments, optimizing operations, and enhancing customer service. For the finance sector, strategies should focus on improving liquidity and solvency, innovating in products and services to boost profitability. The technology sector should invest in automation, human resource development, and maintain a strong focus on innovation.

Machine Learning and Artificial Intelligence for a Sustainable Tourism: A Case Study on Saudi Arabia

This work conducts a rigorous examination of the economic influence of tourism in Saudi Arabia, with a particular focus on predicting tourist spending patterns and classifying spending behaviors during the COVID-19 pandemic period and its implications for sustainable development. Utilizing authentic datasets obtained from the Saudi Tourism Authority for the years 2015 to 2021, the research employs a variety of machine learning (ML) algorithms, including Decision Trees, Random Forests, K-Neighbors Classifiers, Gaussian Naive Bayes, and Support Vector Classifiers, all meticulously fine-tuned to optimize model performance. Additionally, the ARIMA model is expertly adjusted to forecast the economic landscape of tourism from 2022 to 2030, providing a robust predictive framework for future trends. The research framework is comprehensive, encompassing diligent data collection and purification, exploratory data analysis (EDA), and extensive calibration of ML algorithms through hyperparameter tuning. This thorough process tailors the predictive models to the unique dynamics of Saudi Arabia’s tourism industry, resulting in robust forecasts and insights. The findings reveal the growth trajectory of the tourism sector, highlighted by nearly 965,073 thousand tourist visits and 7,335,538 thousand overnights, with an aggregate tourist expenditure of SAR 2,246,491 million. These figures, coupled with an average expenditure of SAR 89,443 per trip and SAR 9198 per night, form a solid statistical basis for the employed predictive models. Furthermore, this research expands on how ML and AI innovations contribute to sustainable tourism practices, addressing key aspects such as resource management, economic resilience, and environmental stewardship. By integrating predictive analytics and AI-driven operational efficiencies, the study provides strategic insights for future planning and decision-making, aiming to support stakeholders in developing resilient and sustainable strategies for the tourism sector. This approach not only enhances the capacity for navigating economic complexities in a post-pandemic context, but also reinforces Saudi Arabia’s position as a premier tourism destination, with a strong emphasis on sustainability leading into 2030 and beyond.

Effectuation, Causation and Bricolage; Entrepreneurial Orientation in the Face of Crisis, a Perspective from Developing Countries

Abstract While previous studies on individual entrepreneurial orientation have evolved more from environmental, social and cultural features, far less attention has been dedicated to personal agency factors, especially during the crisis period of post COVID-19 pandemic. Relying on personal agency theory and the entrepreneurial cognitive logic concept, this study investigates how entrepreneur’s internal locus of control affect their individual entrepreneurial orientation, particularly during periods of crisis and scarcity-post COVID-19 pandemic. Data were collected from 500 small and medium scale entrepreneurs via an online questionnaire and analyzed using partial least square (PLS-SEM) methodology. The findings show that causation, bricolage and effectuation’s affordable loss and flexibility, which are most responsive to internal locus of control, significantly impact individual entrepreneurial orientation. However, no evidence has been found on how gender, education level and education background impacts the internal locus of control to promote entrepreneurial orientation. Finally, the paper highlights the relevance of considering personal agency factors, namely internal locus of control, for policy makers, especially those involved in institutions of learning and government ministries, to boost citizens perceptions and entrepreneurial orientation and behaviour particularly in developing countries.

Chemotherapy delays among cancer patients in Iran during COVID-19 pandemic

Background and objectivesFollowing the outbreak of COVID-19, a set of restrictions, health advice, and limitations were put in place to reduce the spread of the virus. These restrictions, together with fear and anxiety of the population, limited people’s access to public services such as health care services. Cancer patients during this era are a significant concern due to being at high risk for COVID-19 infection and also being exposed to delays in their diagnosis, treatment, and follow-ups. Delays in the treatment of cancer could lead to a poorer prognosis. In this study, we attempted to determine the magnitude of delays in chemotherapy and factors associated with delays during the COVID-19 pandemic.MethodAll patients diagnosed with colorectal, lung, gastric cancer, and lymphoma who had chemotherapy at teaching hospitals of Iran University of Medical Sciences (IUMS) between February 20, 2020, and March 20, 2022, were included. Age, gender, cancer type, having metastatic cancer, and date of each chemotherapy session were included for each patient individually. Every session with delays longer than two days was recorded. A three to six-day delay was considered a moderate delay, and a seven-day or longer delay was considered a severe delay in receiving each chemotherapy session. Additionally, each patient’s total number of delays in the entire course was calculated. Logistic regression was used to examine the impact of pandemic waves on delays. On the other hand, Poisson regression was used to evaluate the number of delays in the entire course of chemotherapy.ResultsThe research findings indicated an association between the male gender and having metastasis with a higher likelihood of a moderate delay in the treatment regimen. Regarding cancer type, colorectal cancer was associated with higher rates of moderate delays (IRR = 1.88, P < 0.001), but gastric (IRR = 0.75, P = 0.001) and lung cancer (IRR = 0.59, P = 0.002) were associated with reduced rates of severe and moderate delays, respectively. Compared to the COVID-19 pandemic plateau periods, the first (OR = 2.08, P < 0.001), third, and fifth waves of the pandemic were associated with increased delays.ConclusionWe found an association between the male gender, colorectal cancer, metastatic disease and higher rates of moderate delays. The initial COVID-19 pandemic wave was associated with increased severe delays in the chemotherapy course. According to the findings of this study, male cancer patients and those with metastatic cancer are at risk of poorer prognosis due to lower adherence to treatment. These findings can assist policymakers in developing targeted strategies to lessen the delay rates in the more vulnerable population.

Dynamic patterns of COVID stress syndrome among university students during an outbreak: a time-series network analysis

Objective Assessing the progression of COVID stress syndrome (CSS) and understanding how cognitive and emotional factors play a role in the dynamic system is critical for prevention and intervention during the COVID-19 pandemic. We investigated the dynamic relationship between self-reported COVID stress syndrome, cognitive factors, and emotional factors through time-series network analysis. Methods and Measures Participants were 188 university students involved in an experience sampling method study that lasted 14 days, three times a day, during the COVID-19 pandemic period following a shift in pandemic prevention and control policy. Results CSS symptoms are usually present simultaneously, and xenophobia is the most central node of the network. There is a complex mutual predictive relationship between CSS symptoms, in which traumatic stress symptoms are crucial in developing and maintaining the CSS symptom network. Negative affect was associated with CSS symptoms at the same time, and subjective health cognition was a significant predictor of CSS symptoms the next time. Conclusions Traumatic stress symptoms are essential nodes in the CSS symptom network, and negative emotions and subjective health influence the occurrence and development of CSS symptoms.

Foreign Trade as a Channel of Pandemic Transmission to the Agricultural Sector in Poland

The resilience of economic and social systems to shocks is one of the fundamental goals of sustainable development. One such event that seriously disrupted the global economy was the COVID-19 pandemic. It posed a direct threat to people’s health and lives and also caused an economic crisis. One of the effects of the crisis was the loss of stability in agricultural production with the resulting threat to food security. The foreign trade channel played a vital role in the mechanism of pandemic transmission to the agricultural sector in the world and Poland. This article aims to assess the significance of changes in international trade in agri-food commodities conducted by Polish entities during the COVID-19 pandemic. The research period covers the years 2017–2021, focusing on the years 2020–2021, the period of the COVID-19 pandemic. Such a research period allows comparative analyses during the pandemic and pre-pandemic periods. The following research methods are used in this study: a critical analysis of the literature, the descriptive approach, the comparative method, and verbal logic and descriptive statistical methods. The data used in this article come from the Central Statistical Office (CSO) and cover Poland’s foreign trade turnover according to the International Standard Trade Classification (SITC) used by the United Nations Statistics Department. The COVID-19 pandemic period did not cause a drastic collapse in Polish foreign trade. Short-lived blockages in the flow of goods, which appeared in Q2 2020, resulted in a 14% drop in the value of Polish exports. Already in Q3 2020, foreign trade turnover returned to pre-pandemic levels. In Q2 2020, the value of the exports of agri-food goods decreased by only 3%. For other commodity groups, the export values were 7–40% lower. Agri-food trade proved more resilient to pandemic shocks than trade in non-agricultural sectors. The foreign trade crisis affected the imports of goods more than exports.

Islamic cryptocurrency integration for enhanced sustainable finance: evidence from time-frequency volatility transmission investigation

ABSTRACT This study explores the potential of Islamic gold-backed cryptocurrencies in sustainable finance by focusing on volatility transmission between these cryptocurrencies and conventional digital assets like Bitcoin and PaxGold. Using a Time-Varying Parameter Vector Autoregression (TVP-VAR) approach, we analyze data from December 2019 to July 2023, including the COVID-19 pandemic period. Findings reveal a complex volatility network, with Bitcoin and HelloGold as major transmitters of spillover shocks, while X8X and PaxGold mainly serve as net recipients. Notable interactions between Bitcoin and Islamic gold-backed cryptocurrency markets show short-lived pairwise volatility interactions. Islamic gold-backed cryptocurrencies, net recipients of volatility, absorb market shocks, making them suitable for hedging against volatility. This can aid in diversifying portfolios, mitigating adverse market impacts, and informing risk management and regulatory approaches. Our research emphasizes the importance of Islamic finance in ethical and sustainable investment within the evolving cryptocurrency market.

The effect of the COVID-19 pandemic lockdown on the distribution of fat tissue and skinfold thickness in adolescents from Kraków (Poland).

The COVID-19 pandemic has significantly changed the lifestyle and dietary habits of societies worldwide. The aim of the study was to assess changes in the distribution of fat tissue and skinfold thickness in adolescents (aged 11-15) from Kraków during the COVID-19 pandemic period. Two cross-sectional studies conducted in 2020 and 2022 (before and after the pandemic) involved 1662 adolescents from the Kraków population. Skinfold thickness measurements were taken. The trunk adiposity index, limbs-to-trunk fat ratio and limbs-to-total skinfold ratio were calculated. Statistical analysis employed a two-way ANOVA, Tukey's HSD test and the Kruskal-Wallis test, depending on the normality of the distribution. Higher skinfold thicknesses were observed in the majority of age groups in both sexes from the 2022 cohort in comparison with the 2020 cohort. Additionally, higher values of the trunk adiposity index and the limbs-to-total skinfold ratio in most age groups were observed. However, an inverse trend was observed in the limbs-to-trunk fat radio. The introduced restrictions such as lockdown, remote learning, reduced physical activity and changes in dietary habits could have influenced the distribution of fat tissue and skinfold thickness amongst adolescents from Kraków.