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Copyright of Nankai Business Review is the property of Nankai Business Review Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The purpose of this paper is to study the spillover effects of financial stress among five important financial markets (bond, stock, foreign exchange, interbank, and real estate markets) in China, and explore the important determinants of financial stress spillover level among the markets and the impact of the Chinese stress spillover situation on the European markets. Our findings are as follows: First, there is a significant stress spillover effect among the five markets, and the total financial stress spillover index (TSSI) is very high during the global financial crisis. Generally, the stock and real estate markets are the major transmitters of stress spillover, and the interbank and bond markets are the major receivers. Second, the most macro factors have significant impacts on the financial stress spillover level among the markets, especially CPI index, the Chinese economic policy uncertainty index and VIX index. And the severity of the COVID-19 epidemic in China and the world has a significant impact on the TSSI, especially from March 2020 to August 2020. Finally, the TSSI can significantly increase the volatility of French stock market, Italian stock market and German government bond market, especially during the Sino-US trade war and the COVID-19 epidemic. [ABSTRACT FROM AUTHOR]

Copyright of Socialna Pedagogika (14082942) is the property of Socialna Pedagogika and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The novel coronavirus (COVID-19) is continuing its spread across the world, claiming more than 160,000 lives and sickening more than 2,400,000 people as of April 21, 2020. Early research has reported a basic reproduction number (R0) between 2.2 to 3.6, implying that the majority of the population is at risk of infection if no intervention measures were undertaken. The true size of the COVID-19 epidemic remains unknown, as a significant proportion of infected individuals only exhibit mild symptoms or are even asymptomatic. A timely assessment of the evolving epidemic size is crucial for resource allocation and triage decisions. In this article, we modify the back-calculation algorithm to obtain a lower bound estimate of the number of COVID-19 infected persons in China in and outside the Hubei province. We estimate the infection density among infected and show that the drastic control measures enforced throughout China following the lockdown of Wuhan City effectively slowed down the spread of the disease in two weeks. We also investigate the COVID-19 epidemic size in South Korea and find a similar effect of its test, trace, isolate, and treat strategy. Our findings are expected to provide guidelines and enlightenment for surveillance and control activities of COVID-19 in other countries around the world.

The COVID-19 epidemic has required countries to implement different containment strategies to limit its spread, like strict or weakened national lockdown rules and the application of age-stratified vaccine prioritization strategies. These interventions have in turn modified the age-dependent patterns of social contacts. In our recent paper, starting from the available age-structured real data at the national level, we identified, for the Italian case, specific virulence parameters for a two-age-structured COVID-19 epidemic compartmental model (under 60, and 60 years and over) in six different diseases transmission scenarios under concurrently adopted feedback interventions. An interpretation of how each external scenario modifies the age-dependent patterns of social contacts and the spread of COVID-19 disease has been accordingly provided. In this paper, which can be viewed as a sequel to the previous one, we mainly apply the same general methodology therein (involving the same dynamic model) to new data covering the three subsequent additional scenarios: (i) a mitigated coordinated intermittent regional action in conjunction with the II vaccination phase; (ii) a super-attenuated coordinated intermittent regional action in conjunction with the II vaccination phase; and (iii) a last step towards normality in conjunction with the start of the III vaccination phase. As a new contribution, we show how meaningful updated information can be drawn out, once the identification of virulence parameters, characterizing the two age groups within the latest three different phases, is successfully carried out. Nevertheless, differently from our previous paper, the global optimization procedure is carried out here with the number of susceptible individuals in each scenario being left free to change, to account for reinfection and immunity due to vaccination. Not only do the slightly different estimates we obtain for the previous scenarios not impact any of the previous considerations (and thus illustrate the robustness of the procedure), but also, and mainly, the new results provide a meaningful picture of the evolution of social behaviors, along with the goodness of strategic interventions.

The COVID-19 pandemic has had a significant impact on global mental health, affecting individuals of all age groups and various demographic backgrounds including athletes. Anxiety disorders have become more prevalent during the pandemic, attributed to factors such as quarantine, social isolation, fear of the virus, job insecurity, and the psychological impact of a pandemic. This narrative review aims to summarize the existing literature addressing mental health issues related to the COVID-19 pandemic, as well as the associated risk factors and potential interventions. Additionally, the review explores the impact of COVID-19 on specific populations, including athletes, frontline healthcare workers, children and adolescents, and individuals with pre-existing mental health conditions. In addition, the review explores the long-term consequences of the pandemic on mental health, including the potential for a surge in post-traumatic stress disorder (PTSD) and other trauma-related disorders. Overall, this review underscores the urgent need for comprehensive mental health support and resources in response to the COVID-19 pandemic.

Since 2020, COVID-19 has repeatedly arisen around the world, which has had a significant impact on the global economy and culture. The prediction of the COVID-19 epidemic will help to deal with the current epidemic and similar risks that may arise in the future. So, this paper proposes a hybrid prediction model based on particle swarm optimization variational mode decomposition (PSO-VMD), Long Short-Term Memory Network (LSTM) and AdaBoost algorithm. To address the issue of determining the optimal number of modes K and the penalty factor (α) in the variational mode decomposition (VMD), an adaptive value for particle swarm optimization (PSO) is proposed. Specifically, the weighted average sample entropy of the relevant coefficients is utilized to determine the adaptive value. First, the epidemic data are decomposed into multiple modal components, known as intrinsic mode functions (IMFs), using PSO-VMD. These components, along with policy-based factors, are integrated to form a multivariate forecast dataset. Next, each IMF is predicted using AdaBoost-LSTM. Finally, the prediction results of all the IMF components are reconstructed to obtain the final prediction result. Our proposed method is validated by the cumulative confirmed data of Hubei and Hebei provinces. Specifically, in the case of cumulative confirmation data, the coefficient of determination ( R 2 ) of the mixed model is increased compared to the control model, and the average mean absolute error (MAE) and root mean square error (RMSE) decreased. The experimental results demonstrate that the VMD–AdaBoost–LSTM model achieves the highest prediction accuracy, thereby offering a new approach to COVID-19 epidemic prediction. [ABSTRACT FROM AUTHOR]

Metapopulation models have been a popular tool for the study of epidemic spread over a network of highly populated nodes (cities, provinces, countries) and have been extensively used in the context of the ongoing COVID-19 pandemic. In the present work, we revisit such a model, bearing a particular case example in mind, namely that of the region of Andalusia in Spain during the period of the summer-fall of 2020 (i.e., between the first and second pandemic waves). Our aim is to consider the possibility of incorporation of mobility across the province nodes focusing on mobile-phone time-dependent data, but also discussing the comparison for our case example with a gravity model, as well as with the dynamics in the absence of mobility. Our main finding is that mobility is key toward a quantitative understanding of the emergence of the second wave of the pandemic and that the most accurate way to capture it involves dynamic (rather than static) inclusion of time-dependent mobility matrices based on cell-phone data. Alternatives bearing no mobility are unable to capture the trends revealed by the data in the context of the metapopulation model considered herein. [ABSTRACT FROM AUTHOR]

Based on the first-hand survey data for 910 people without financial freedom in China during November 2019 and June 2020, this paper investigates the impact of conspicuous tourism consumption preference on individual's tourism consumption borrowing intention as well as the effects of age empirically. The results indicate that the older the individual is, the weaker his/her conspicuous tourism consumption preference is. Conspicuous tourism consumption preference has a significant positive impact on tourism consumption borrowing intention. In terms of the male, age has negative effects in mediating conspicuous tourism consumption preference's influence on tourism consumption borrowing intention. The above findings can deepen understanding of tourists' behavior and its outcomes from the perspective of conspicuous consumption theoretically. In addition, they have practical significance and policy reference value for reducing personal and social finance/debt risk and related harm due to major macroeconomic fluctuations caused by the external shock such as the COVID-19 epidemic. [ABSTRACT FROM AUTHOR]

The first symptomatic infected individuals of coronavirus (Covid‐19) was confirmed in December 2020 in the city of Wuhan, China. In India, the first reported case of Covid‐19 was confirmed on 30 January 2020. Today, coronavirus has been spread out all over the world. In this manuscript, we studied the coronavirus epidemic model with a true data of India by using Predictor‐Corrector scheme. For the proposed model of Covid‐19, the numerical and graphical simulations are performed in a framework of the new generalised Caputo sense non‐integer order derivative. We analysed the existence and uniqueness of solution of the given fractional model by the definition of Chebyshev norm, Banach space, Schauder's second fixed point theorem, Arzel's‐Ascoli theorem, uniform boundedness, equicontinuity and Weissinger's fixed point theorem. A new analysis of the given model with the true data is given to analyse the dynamics of the model in fractional sense. Graphical simulations show the structure of the given classes of the non‐linear model with respect to the time variable. We investigated that the mentioned method is copiously strong and smooth to implement on the systems of non‐linear fractional differential equation systems. The stability results for the projected algorithm is also performed with the applications of some important lemmas. The present study gives the applicability of this new generalised version of Caputo type non‐integer operator in mathematical epidemiology. We compared that the fractional order results are more credible to the integer order results. [ABSTRACT FROM AUTHOR]

Novel coronavirus (COVID‐19), a global threat whose source is not correctly yet known, was firstly recognised in the city of Wuhan, China, in December 2019. Now, this disease has been spread out to many countries in all over the world. In this paper, we solved a time delay fractional COVID‐19 SEIR epidemic model via Caputo fractional derivatives using a predictor–corrector method. We provided numerical simulations to show the nature of the diseases for different classes. We derived existence of unique global solutions to the given time delay fractional differential equations (DFDEs) under a mild Lipschitz condition using properties of a weighted norm, Mittag–Leffler functions and the Banach fixed point theorem. For the graphical simulations, we used real numerical data based on a case study of Wuhan, China, to show the nature of the projected model with respect to time variable. We performed various plots for different values of time delay and fractional order. We observed that the proposed scheme is highly emphatic and easy to implementation for the system of DFDEs. [ABSTRACT FROM AUTHOR]

Bulgaria has the lowest COVID-19 vaccination rate in the European Union and the second-highest COVID-19 mortality rate in the world. That is why we think it is important better to understand the reason for this situation and to analyse the development of the disease over time. In this paper, an extended time-dependent SEIRS model SEIRS-VB is used to investigate the long-term behaviour of the COVID-19 epidemic. This model includes vaccination and vital dynamics. To apply the SEIRS-VB model some numerical simulation tools have been developed and for this reason a family of time-discrete variants are introduced. Suitable inverse problems for the identification of parameters in discrete models are solved. A methodology is proposed for selecting a discrete model from the constructed family, which has the closest parameter values to these in the differential SEIRS-VB model. To validate the studied models, Bulgarian COVID-19 data are used. To obtain all these results for the discrete models a mathematical analysis is carried out to illustrate some biological properties of the differential model SEIRS-VB, such as the non-negativity, boundedness, existence, and uniqueness. Using the next-generation method, the basic reproduction number associated with the model in the autonomous case is defined. The local stability of the disease-free equilibrium point is studied. Finally, a sensitivity analysis of the basic reproduction number is performed. [ABSTRACT FROM AUTHOR]

Background: Nursing undergraduates' academic self-efficacy is a significant factor in determining their learning motivation, cognition, and emotions. It has a significant impact on improving academic performance and achieving learning goals. Methods: To explore the mechanism of psychological distress affecting the academic self-efficacy of nursing undergraduates, the generalized anxiety disorder scale-7, patient health questionnaire-9, academic self-efficacy scale, perceived social support scale and mindful attention awareness scale were conducted. Results: Model fitness indexes of the structural equation model is good (CMIN/DF = 1.404, RMSEA = 0.042, GFI = 0.977, IFI = 0.977, TLI = 0.954, CFI = 0.975, NFI = 0.923). Structural equation model analysis showed that social support and mindfulness were the mediating variables of psychological distress on academic self-efficacy. Mediating variables accounted for 44% of the total effect value (− 0.3) with a value of − 0.132. Three paths were verified: psychological distress indirectly affected academic self-efficacy through social support (− 0.064); psychological distress indirectly affected academic self-efficacy through mindfulness (− 0.053); psychological distress indirectly affected academic self-efficacy through social support and mindfulness (− 0.015). Conclusions: Social support and mindfulness play significant mediating roles in the effect of psychological distress on academic self-efficacy, and the chain mediating role of social support and mindfulness is also significant. Educators may mitigate the impact of psychological distress on academic self-efficacy by enhancing students' social support and mindfulness. [ABSTRACT FROM AUTHOR]

We incorporate the disease state and testing state into the formulation of a COVID-19 epidemic model. For this model, the basic reproduction number is identified and its dependence on model parameters related to the testing process and isolation efficacy is discussed. The relations between the basic reproduction number, the final epidemic and peak sizes, and the model parameters are further explored numerically. We find that fast test reporting does not always benefit the control of the COVID-19 epidemic if good quarantine while awaiting test results is implemented. Moreover, the final epidemic and peak sizes do not always increase along with the basic reproduction number. Under some circumstances, lowering the basic reproduction number increases the final epidemic and peak sizes. Our findings suggest that properly implementing isolation for individuals who are waiting for their testing results would lower the basic reproduction number as well as the final epidemic and peak sizes. [ABSTRACT FROM AUTHOR]

Introduction: Before the mass vaccination, epidemiological control measures were the only means of containing the COVID-19 epidemic. Their effectiveness determined the consequences of the COVID-19 epidemic. Our study evaluated the impact of sociodemographic, lifestyle, and clinical factors on patient-reported epidemiological control measures. Methods: A nationwide representative sample of 1008 randomly selected adults were interviewed in person between 15 March and 30 May 2021. The prevalence of test-confirmed SARS-CoV-2 infection was 12.1%, of testing was 33.7%, and of contact tracing among test-confirmed infected subjects was 67.9%. The vaccination coverage was 52.4%. Results: According to the multivariable logistic regression models, the occurrence of infection was not influenced by sociodemographic and lifestyle factors or by the presence of chronic disease. Testing was more frequent among middle-aged adults (aOR = 1.53, 95% CI 1.10–2.13) and employed adults (aOR = 2.06, 95% CI 1.42–3.00), and was more frequent among adults with a higher education (aORsecondary = 1.93, 95% CI 1.20–3.13; aORtertiary = 3.19, 95% CI 1.81–5.63). Contact tracing was more frequently implemented among middle-aged (aOR41-7y = 3.33, 95% CI 1.17–9.45) and employed (aOR = 4.58, 95% CI 1.38–15.22), and those with chronic diseases (aOR = 5.92, 95% CI 1.56–22.47). Positive correlation was observed between age groups and vaccination frequency (aOR41-70y = 2.94, 95% CI 2.09–4.15; aOR71+y = 14.52, 95% CI 7.33–28.77). Higher than primary education (aORsecondary = 1.69, 95% CI 1.08–2.63; aORtertiary = 4.36, 95% CI 2.46–7.73) and the presence of a chronic disease (aOR = 2.58, 95% CI 1.75–3.80) positively impacted vaccination. Regular smoking was inversely correlated with vaccination (aOR = 0.60; 95% CI 0.44–0.83). Conclusions: The survey indicated that testing, contact tracing, and vaccination were seriously influenced by socioeconomic position; less so by chronic disease prevalence and very minimally by lifestyle. The etiological role of socioeconomic inequalities in epidemic measure implementation likely generated socioeconomic inequality in COVID-19-related complication and death rates. [ABSTRACT FROM AUTHOR]

The COVID-19 lockdown had a positive control effect on urban air quality. However, this effect remains uncertain after the epidemic enters regular management, and furthermore, only limited data are available regarding urban PM2.5 (aerodynamic diameter ≤ 2.5μm) under the impact of the epidemic. We used daily ambient PM2.5 concentration data in Beijing to compare and analyze the changes in urban PM2.5 concentrations before and after the COVID-19 epidemic and to estimate the healthy effects and economic burden associated with PM2.5 before and after the epidemic. The study found that COVID-19 has a significant impact on the urban environmental PM2.5 concentration, which is manifested by the decrease in the PM2.5 concentration in Beijing during the epidemic by 27.8%. Exposure-response models estimated 56.443 (95% CI: 43.084–69.893) thousand people die prematurely in Beijing during the COVID-19 epidemic attributed to long-term PM2.5 exposure, with a 13.3% decrease in the number of premature deaths year-on-year. The total healthy economic losses attributable to PM2.5 in Beijing during the COVID-19 epidemic were 35.76 (95% CI: 28.41–42.44) billion yuan, with a per capita loss of 816.8 yuan. Strict control measures throughout the COVID-19 epidemic had a positive impact on air quality in Beijing, with a decrease in both premature deaths and economic healthy losses attributable to fine particles. This paper helps to enrich and expand the research on the impact of COVID-19 on the urban environment and provides a basis for formulating policies related to air quality improvement in the post-epidemic era. [ABSTRACT FROM AUTHOR]

Livelihood resilience is the ability of individuals, families or communities to withstand external shocks based on existing resources. It is an important research paradigm in sustainable development studies. The outbreak of COVID-19 and strict epidemic prevention policies have greatly impacted the production and life of rural farmers in China. The resilience of farmers' livelihoods during the epidemic is crucial to the sustainable development of their livelihoods and regional stability. This study uses classic buffer capacity, self-organization ability, and the capacity for learning a three-dimension livelihood resilience framework using the comprehensive index, OLS, and geographical detector methods based on Hubei province and neighboring Anhui and Chongqing. Rural household survey data investigate the background of epidemic hit the livelihood of farmers resilience and its spatial distribution pattern and identify the key influencing factors. The results show that the livelihood shock faced by farmers was higher than the risk of disease, and the overall level of livelihood resilience was low after the pandemic. Financial capital and social capital can effectively help farmers to eliminate livelihood difficulties. In contrast, natural capital has a limited driving force, and physical and human capital have no obvious impact. The spatial agglomeration differentiation is obvious, indicating that the impact of COVID-19 on livelihoods was closely related to the degree of local socio-economic development and geographical location. The results of this study provide targeted recommendations for the development of epidemic prevention and livelihood resilience policies tailored to local conditions, emphasizing the importance of boosting livelihood recovery at both the government and household levels. [ABSTRACT FROM AUTHOR]

Copyright of Stable Economy Journal is the property of University of Sistan & Baluchestan and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Abstract Background In the management of epidemics, like COVID‐19, trade‐offs have to be made between reducing mortality and morbidity and minimizing socioeconomic and political consequences. Traditionally, epidemic management (EM) has been guided and executed attentively by experts and policymakers. It can, however, still be controversial in the public sphere. In the last decades, public engagement (PE) has been successfully applied in various aspects of healthcare. This leads to the question if PE could be implemented in EM decision‐making. Methods From June to October 2020, seven deliberative discussion focus groups were executed with 35 Dutch citizens between 19 and 84 years old. Their views on PE in COVID‐19 management were explored. The deliberative approach allows for the education of participants on the topic before the discussion. The benefits, barriers, timing and possible forms of PE in EM were discussed. Results Almost all participants supported PE in EM, as they thought that integrating their experiences and ideas would benefit the quality of EM, and increase awareness and acceptance of measures. A fitting mode for PE was consultation, as it was deemed important to provide the public with possibilities to share ideas and feedback; however, final authority remained with experts. The publics could particularly provide input about communication campaigns and control measures. PE could be executed after the first acute phase of the epidemic and during evaluations. Conclusions This paper describes the construction of an empirically informed framework about the values and conditions for PE in EM from the perspective of the public. Participants expressed support to engage certain population groups and considered it valuable for the quality and effectiveness of EM; however, they expressed doubts about the feasibility of PE and the capabilities of citizens. In future studies, these results should be confirmed by a broader audience. Patient or Public Contribution No patients or members of the public were involved in the construction and execution of this study. This study was very exploratory, to gain a first insight into the views of the public in the Netherlands, and will be used to develop engagement practices accordingly. At this stage, the involvement of the public was not yet appropriate.

Objective To explore the teaching effect of the teaching mode changed from traditional teaching to online teaching after the outbreak of coronavirus disease 2019 (COVID-19) pandemic. Methods Relying on the Beijing Women's Health Care Technology Improvement Project, the online and offline continuing medical education was carried out, to train the obstetrician and gynecologist working in 16 maternal and child health care hospitals in 16 administrative regions of Beijing, which was planned from September 2020 to December 2025. This study retrospectively collected the assessment results of the two teaching modes from March 2021 to December 2021 (the first year of the teaching plan), and compared the teaching effects. Results Online teaching completed three sessions of 30 live online conference courses, with about 25 000 participants, including 4757 obstetricians and gynecologists from 16 maternal and child health care hospitals in Beijing. A total of 82 on-site teaching courses were held for offline teaching, and 1771 gynecologists and obstetricians from 16 maternity and child care hospitals in Beijing participated in the study. The scores of online teaching and offline teaching were 90.88±4.88 and 88.65±4.35, respectively. Conclusions Online teaching maybe has similar teaching effects as offline teaching. Compared with offline teaching, online teaching has more advantages, such as convenience, efficiency and economy, which is worthy of promotion and application in the context of the COVID-19 pandemic.

Abstract Background Public health recommendations and governmental restrictions during the COVID-19 epidemic have affect everyday life. This study aimed to examine temporal changes in health-related lifestyle and the accumulation of positive and negative changes in the key lifestyle factors (vegetable consumption, leisure-time physical activity, sleeping, alcohol consumption, smoking) in the same individuals among Finnish adults during the epidemic. Methods This study was based on a series of cross-sectional surveys conducted between April 2020 and June 2021 to investigate antibody levels for the new coronavirus in the population. In each survey, a random sample of adults (18 to 69 years) from five university hospital regions were invited. A total of 5655 (response rate 32%) responded to the questionnaire including questions on lifestyle changes during epidemic. Results On average one-sixth of respondents (17%) reported at least two negative changes in the key lifestyle factors during the study period. An increase in snacking and sleep problems and decrease in leisure-time physical activity and active commuting to work were the most common of individual negative changes. The proportion of negative changes in physical activity increased as the epidemic drags on. In contrast, on average every seventh of the respondents (14%) reported at least two positive lifestyle changes in the key lifestyle factors. The most common individual positive changes were increased consumption of fruit, berries and vegetables and decreased consumption of alcohol. More negative changes were reported on average, when both negative and positive changes in the key lifestyle factors were summed. The most negative changes were reported in the late 2020. Conclusion The results of the present study suggest that the lifestyle changes during the COVID-19 epidemic have been diverse being on average more commonly unfavorable than favorable for health. The deteriorated epidemic situation in the late 2020 and, on the other hand, prolonged epidemic predisposed to negative lifestyle changes. Further studies are important to examine whether these changes are maintained over time and to identify the factors that contribute to changes and their accumulation in the same individuals. Health promotion actions are needed to prevent the long-term effects of the epidemic on health and welfare.

This article focuses on the work named “Games at Home” which deals with how kids and teenagers transfer their traditional games to the digital world. The work “Games At Home” applied because it is believed that this work will solve the problems on cultural transmission in covid-19 pandemic time period. Work performed on kids that are between 4-14 ages, in total of 259 participant children and their parents. Gathered data is created by content analysis and by assesment forms given to the participants end of the training. At the same time researcher’s observations during the work and includes them detachedly. During the work participants are informed about the purpose of the work and the usage of the data and by that parents are informed about the importance of cultural transmission and researches aims to raise awareness towards the cultural games, at the same time it avoids the outrun of the scientific ethics. The work leads to some discussions which are if the digital world is proper for this task, is the cultural transmission can be done with these methods, is there a need of an instructor during the process and sustainability of the project. In conclusion, altough it is not possible to exactly distinguish games between traditional and digital and the contents which created are experienced during the covid-19 pandemic and it is manifested that it has a sustainability.

Abstract Background The existing body of research mostly discusses inequality in physical activity (PA) based on the difference in the level of moderate-to-vigorous physical activity (MVPA). Evidence is lacking on the quantified inequality measures (e.g., how big the inequality is, and the distribution) in order to identify the most vulnerable groups of a population. This study measured PA inequality among Thai adults by using three parameters to construct an inequality index: (1) Proportion of the population with sufficient MVPA; (2) Cumulative minutes of MVPA; and (3) The Gini coefficient. Methods This study employed three rounds of data from Thailand’s Surveillance on Physical Activity (SPA) 2019–2021. In each round, over 6,000 individuals age 18–64 years were selected as nationally-representative samples, and were included in the analysis. PA inequality was constructed by using three parameters, with a combination of the three as the final measure, to identify the sub-groups of the Thai adults who are most vulnerable: groups with the least MVPA, highest insufficiency, and highest inequality index (Gini). Results Covid-19 containment measures have widened the gap in PA inequality, as shown by a declining proportion of the population meeting the recommended guidelines, from 74.3% in 2019 to 56.7% in 2020 and 65.5% in 2021. PA inequality existed in all sub-populations. However, by combining three parameters, the most vulnerable groups during the Covid-19 epidemic were identified as follows: (1) Those with no income; (2) The unemployed; (3) Those who have no access to PA facilities; (4) Older adults aged 60 + years; and (5) Those earning

Objective To analyze the impact of sporadic cases of COVID-19 on the work of Transfusion Department, so as to explore the countermeasures. Methods The admission of inpatient departments, the reception of outpatient(including emergency) departments, the workload of transfusion department(including blood typing, unexpected antibody screening and cross matching), and the consumption of blood components in the Xijing Hospital between October and November in 2021, during COVID-19 outbreak, were collected. All the above data was statistically compared to the data in same period in 2018, before the COVID-19 outbreak. Results Due to the COVID-19 epidemic, there was a significant decrease in number of inpatients(280±157.1 vs 340.4±110.2), outpatient(including emergency)(8 359±3 615 vs 10 151±3 225), the workload of blood typing(272.0±132.4 vs 341.6±110.4), unexpected antibody screening(78.26±42.22 vs 98.51±43.53) and crossmatch(237.2±99 vs 475.7±155.6), as well as the consumption(U) of all blood components(457.9±50.32 vs 579.4±62.51) in the Xijing Hospital(P

A large number of antibiotics have been discharged into rivers by human activities, posing a threat to aquatic ecosystems. The surface water of the Yellow River Basin also suffers antibiotic pollution, which hinders the improvement in the aquatic ecological environment. This study investigated and analyzed the characteristics and assessed the ecological risks of antibiotic pollution in surface water bodies such as canals, rivers and fish ponds in Kaifeng, Henan Province, which is a key city along the lower reaches of the Yellow River. The test results are as follows. A total of 15 types of antibiotics were detected in the surface water. They had a total antibiotic concentration of 12.2–249.9 μg/L, of which tetracyclines (TCs) and quinolones accounted for the highest percentages. Six types of quinolones had detection rates of up to 100%, and doxycycline (DC) and oxytetracycline (OTC) had average concentrations of 29.52 μg/L1 and 13.71 μg/L, respectively. The major canals with water diverted from the Yellow River had total concentrations of quinolones and TCs of 22. 0 μg/L and 14.9 μg/L, respectively, which were higher than those in previous studies. This phenomenon may be related to the decrease in the water flow of the Yellow River during the dry season and the increase in the antibiotic consumption of residents in the context of the Covid-19 outbreak. The upper reaches of the Huiji River in the Xiangfu District had higher antibiotic content than other districts in Kaifeng. Specifically, TCs accounted for 72.38%–91.84% of all antibiotics, and the DC and OTC concentrations were significantly higher than other antibiotics in the upper reaches. As indicated by the ecological risk assessment results, TCs had the highest ecological risks to green algae. Among them, DC had medium-high risks; TC, OTC, and chlortetracycline (CTC) had medium-high risks; trimethoprim (TMP) and lomefloxacin (LOM) had low risks; other TC antibiotics had no risk. Compared with green algae, most antibiotics showed higher ecological risks to daphnia and lower ecological risks to fish. DC and OTC dominate antibiotic pollutants in the surface water in Kaifeng City, and especially in Xiangfu District, where DC and OTC have medium-high risks. The TCs in the major Yellow River showed medium risks to both green algae and daphnia. It can be speculated that the antibiotic pollution in the Yellow River might pose a certain threat to the ecological security of water in Kaifeng City.©2022 China Geology Editorial Office.

Abstract In the past decade, the global industry and research attentions on intelligent skin-like electronics have boosted their applications in diverse fields including human healthcare, Internet of Things, human–machine interfaces, artificial intelligence and soft robotics. Among them, flexible humidity sensors play a vital role in noncontact measurements relying on the unique property of rapid response to humidity change. This work presents an overview of recent advances in flexible humidity sensors using various active functional materials for contactless monitoring. Four categories of humidity sensors are highlighted based on resistive, capacitive, impedance-type and voltage-type working mechanisms. Furthermore, typical strategies including chemical doping, structural design and Joule heating are introduced to enhance the performance of humidity sensors. Drawing on the noncontact perception capability, human/plant healthcare management, human–machine interactions as well as integrated humidity sensor-based feedback systems are presented. The burgeoning innovations in this research field will benefit human society, especially during the COVID-19 epidemic, where cross-infection should be averted and contactless sensation is highly desired.

In the current manuscript, we deal with the dynamics of a piecewise covid-19 mathematical model with quarantine class and vaccination using SEIQR epidemic model. For this, we discussed the deterministic, stochastic, and fractional forms of the proposed model for different steps. It has a great impact on the infectious disease models and especially for covid-19 because in start the deterministic model played its role but with time due to uncertainty the stochastic model takes place and with long term expansion the use of fractional derivatives are required. The stability of the model is discussed regarding the reproductive number. Using the non-standard finite difference scheme for the numerical solution of the deterministic model and illustrate the obtained results graphically. Further, environmental noises are added to the model for the description of the stochastic model. Then take out the existence and uniqueness of positive solution with extinction for infection. Finally, we utilize a new technique of piecewise differential and integral operators for approximating Caputo-Fabrizio fractional derivative operator for the purpose of constructing of the fractional-order model. Then study the dynamics of the models such as positivity and boundedness of the solutions and local stability analysis. Solved numerically fractional-order model used Newton Polynomial scheme and present the results graphically.

To figure out the solutions of how to improve services for the patients from regular outpatient visit and internet visit upon the COVID measurements. Methods During the COVID-19 epidemic in Shanghai in May 2022,a questionnaire survey was investigated in the parents of outpatients in Children's Hospital,Fudan University during the recent COVID-19 epidemic in Shanghai,644 patients’ parents received the questionnaire survey, including their social demography, medical needs, satisfaction to the medical service, awareness of internet hospitals and willingness to use, etc. Results Being affected by the COVID-19 epidemic, the hospital visit outpatient numbers decreased substantially, and the patient’s behavior for medical care changed accordingly. Since waiting time on average was less than that before the epidemic (12.82 min vs. 23.21 min), doctors spent more time in treating each child. In this study, the difference in respondents' satisfaction with the waiting order and waiting time before and during the epidemic was statistically significant (P<0.05), and the patients had a better experience in the medical service. Additionally, the younger parents (<39 year) intended to use the internal hospital (P<0.05).Conclusion The management, comprehensive diagnosis and treatment of hospital capacity faced a huge challenge during the epidemic. The changes of traditional medical service pattern, including integration of internet service with current hospital conventional management and service mode, accessibility of medical resources, will be critical for improvement of medical service at post-epidemic period. [ABSTRACT FROM AUTHOR]

When the World Health Organization (WHO) analyzed the culprits of global warming, it was found that in developed countries with relatively few high-polluting heavy industries, the medical sector is one of the sources of high-density carbon emissions. Therefore, the medical industry has a noticeable impact on the environment. Amid the current COVID-19 epidemic, this study adopts the theory of planned behavior (TPB), widely used in decision-making science. We selected a regional teaching hospital with 339 employees in Taiwan to obtain valid questionnaire data. We explore the comparative analysis of different intra-organizational stakeholders' "attitudes," "subjective norms," and "perceived behavioral control" on the hospital's behavioral intention to promote green healthcare. The results show that the TPB model has reliable explanatory power. All three factors have a positive and significant effect on promoting green hospital behavior. Among them, perceived behavioral control was the most notable. A comparative analysis of the differences among stakeholders in the research model shows that "medical administrators" and "nursing staff" have a higher proportion of significant influence effects in various hypotheses, highlighting the critical roles of these two groups in promoting green hospitals. This research policy suggests that the cross-departmental staff in the hospital put forward green innovation ideas, strengthen internal environmental education and management, establish a good incentive system for front-line nursing staff, and implement the sustainable development strategy of the hospital. [ABSTRACT FROM AUTHOR]

At present, China has gradually entered the period of normalization of COVID-19. Due to the raging pandemic, the domestic and international economic situation is not optimistic, and the health insurance industry is closely related to people's well-being, but currently, there is still little research on the development of the health insurance industry. Therefore, this paper revolves around the discussion of this industry. This paper first analyzes the current situation of the industry using the PEST analysis model and then summarizes some of the factors that drive the development of the health insurance industry and measures to promote the industry in different periods and regions using the comparative analysis method based on existing research. Given the above comparative analysis, this paper finds the fundamental points for development and gives development suggestions from three aspects: product innovation, technology development, and system reform. [ABSTRACT FROM AUTHOR]

Under the normalization of the prevention of the new crown epidemic, the cultural tourism industry has been severely impacted, causing the entire tourism industry to press the pause button and unable to develop normally. The vision is to better adjust the existing problems, collect and summarize information from various places through the second-hand data collection method, make comparisons, and then combine the local characteristics of Fujian Province with the situation to help the sustainable development of the local tourism industry in Fujian Province. [ABSTRACT FROM AUTHOR]

Aim: The aim of this study was to determine the impact of social distancing, self-isolation and limited access to public spaces during the COVID-19 pandemic on the quality of life and psychological well-being of young people. Subject and methods: The coronavirus disease 2019 (COVID-19) pandemic caused by the SARS-CoV-2 virus posed a new global challenge in 2020. The new coronavirus emerged locally, but it rapidly spread to all continents and also reached Poland. On 24 March, the Polish Ministry of Health enforced self-isolation measures to contain the transmission of the disease. The new regulations imposed restrictions on civic freedoms, including access to public spaces. These measures significantly affected the daily lives of Polish citizens. Public spaces play a fundamental role in catering to the citizens' basic needs. Access to public spaces is directly correlated with the quality of life, human relations and spontaneous interactions. Young people are highly socially active, and they are frequent users of public spaces. University students (young adults) who transitioned to online learning on 12 March were surveyed remotely with the Microsoft Forms online tool. The questionnaire contained several questions to elicit demographic information about the respondents, as well as 25 closed-ended questions relating to university students' quality of life and access to public spaces during the epidemic. The survey was carried out during the first Polish lockdown in April 2020. The study group was composed of 132 respondents who were university students aged 19–26. Results: The results revealed a strong correlation between the severity of lockdown measures during the epidemic and the students' activity levels in public spaces, a considerable deterioration in their physical and psychological well-being, and the overall quality of life. Conclusion: The respondents were significantly affected by the absence of direct social interactions which, in their opinion, can be only partially compensated for by remote contact. [ABSTRACT FROM AUTHOR]

Background: Chloroquine and hydroxychloroquine (C/HC) received considerable international media attention due to anticipated treatment effect in COVID-19. This led to increased prescriptions threatening to generate product shortages for patients prescribed within approved indications. We evaluated effects of a temporary regulation mandating pharmacies to only dispense C/HC prescribed by physicians with defined specialties. Methods: Data from Region Stockholm, which include 2.4 out of 10 million Sweden's population, were used. Weekly time trends of prescriptions and requisitions of C/HC by prescriber's workplace during January to April 2020 were followed. Results: Numbers of unique individuals with filled prescriptions of chloroquine increased tenfold and of hydroxychloroquine more than threefold from January to March. In the first week of April, filled prescriptions of C/HC dropped. In the later weeks of April, the number of filled prescriptions was back at similar levels as before the SARS-CoV-2 outbreak. During January and February, specialists in rheumatology accounted for 686 out of all 979 prescriptions dispensed (70.1%) of C/HC. In March, a large proportion of prescriptions dispensed were from specialists not usually prescribing C/HC, and rheumatology accounted for 628 out of all 1,639 prescriptions (38.3%). In April, specialists in rheumatology accounted for 386 out of all 641 prescriptions dispensed (60.0%). Conclusion: After an observed increase in prescriptions of C/HC, a temporary regulation was introduced on 2nd April 2020 to reduce prescriptions from specialists not usually prescribing C/HC to avoid shortages for patients within approved indications. Subsequently, dispensed prescriptions decreased from April and remained at pre-COVID-19 levels thereafter. [ABSTRACT FROM AUTHOR]

Due to its epidemic nature, the spread of the Covid-19 virus has caused many changes in human behaviors and biosocial patterns, which can be observed in the lifestyle of society. This research was conducted with the aim of analyzing the lifestyle changes resulting from the Covid-19 epidemic and extracting themes of post-Covid-19 lifestyle. To achieve this goal, a systematic review method based on the approach of Wright et al. (2009) was utilized. The sample consisted of 22 Persian and English articles on post-Covid-19 lifestyle. After collecting the research, they were analyzed and evaluated from three perspectives: first, structurally; then, the content of the results was conceptualized; and finally, their methodological evaluation and critique were conducted. Based on the analysis, the postCovid-19 lifestyle encompasses five main themes: virtualization of everyday life, health-oriented life, socialization of governance, social distancing, and articulated panic. The post-Covid-19 lifestyle has become virtual and media-driven, influenced by global changes including virtualization and the Covid19 epidemic. Health-oriented and medical discourse has dominated this lifestyle, with social distancing becoming its essence, and articulated fear taking root in the mentality of citizens and dominating their lifestyle. Ultimately, in the post-Covid-19 lifestyle, we will witness increased attention from citizens and governance systems towards cultural, social, and environmental dimensions of various issues. In general, the post-Covid-19 lifestyle will be a distinct phenomenon compared to the pre-Covid-19 lifestyle. [ABSTRACT FROM AUTHOR]

Triggered by COVID-19, one of the most dramatic crashes in the stock market in history occurred in March 2020. The sharp reductions in NASDAQ insurance stock indexes were observed after the occurrence of COVID-19 and in March 2020. In this study, the NASDAQ insurance stock markets (including NASDAQ Insurance Index, Developed Markets Insurance Index, and Emerging Markets Insurance Index) and NASDAQ Composite Index are utilized. The "scissors difference" between the NASDAQ Insurance Index and NASDAQ Composite Index is observed. The dynamic effects of the COVID-19 epidemic and the March 2020 crash on the multifractality of four series are explored. Firstly, the apparent and intrinsic multifractality, the components of multifractality, and the dynamic effects of the COVID-19 epidemic on these indexes are analyzed. Secondly, the multifractal cross-correlation between the NASDAQ Insurance Index and NASDAQ Composite Index is investigated. The dynamic influence of the COVID-19 epidemic on the cross-correlation is examined. The multifractal analysis results reveal that four series both before and after the occurrence of COVID-19 have multifractal characteristics. The stronger multifractal characteristics and the greater multifractal degree are obtained after the occurrence of COVID-19. The intrinsic multifractality of the three indexes ascends largely after the occurrence of COVID-19. The multifractal cross-correlation analysis illustrates that the cross-correlation between two indexes before and after the occurrence of COVID-19 is multifractal. The stronger multifractal cross-correlations and greater multifractal degrees are shown. The contribution of the intrinsic multifractal cross-correlation increased after the occurrence of COVID-19. [ABSTRACT FROM AUTHOR]

The restrictions due to the COVID-19 epidemic affected all companies, raising the possibility and necessity of using and providing digital consulting services. In our study, we examine whether management consultants and their clients are open to providing and using the consulting service in digital form. Our in-depth interview research conducted in 2020-21 in North-Eastern Hungary was preceded by questionnaire surveys of management consultants in 2001 and 2005-06, and in-depth interview research in 2011- 12 and 2015-16, the change in the openness of consultants to information technology is compared to our surveys. Based on the results, a significant proportion of consultants provide consulting services in digital form and are happy to use new types of knowledge acquisition and organization methods. Clients are much less open to using the management consulting service in digital form than consultants. They consider personal contact to be very important, they find physical contact and nonverbal communication necessary. [ABSTRACT FROM AUTHOR]

Objective To explore and summarize the construction strategies of COVID-19 medical care and epidemic prevention system abroad by case studies. Methods We selected Singapore and the United Kingdom (UK) as research cases, and used a combining method of in-depth interviews with data analysis. Interviewees included a variety of medical professionals like government officials from the Department of Health, epidemiologists, and general practitioners. The interview questions were built around the setting condition and design logic of the medical care and epidemic prevention system in the interviewees’ countries. Results Hierarchical diagnosis and treatment is the important strategy for both countries. Singapore used Hot Clinic to guide patient flows, and the UK used telemedicine. The reconstruction of outpatient and emergency facilities in both countries was mainly based on existing facilities. The basic configuration of general practice was relatively simple. In response to the COVID-19 epidemic, general practice included expanding the number of medical personnel by deploying medical professionals from the entire hospital, re-designing overall arrangements, and extending working hours appropriately. Both countries actively applied information technology in constructing the medical epidemic prevention system, and the epidemic data collection and information disclosure were timelier. Both countries adhered to the “peace-war combined” mode and flexibly adjusted the epidemic prevention policy and resource allocation plan in the process of gradual resuming. Conclusion The study provided reference for constructing China’s medical care and epidemic prevention system. It delivered suggestions from several aspects which included implementing a graded epidemic prevention system, standardizing the treatment process, refining the infrastructure, improving medical personnel staffing, promoting information technology, implementing the strategy of “peace-war combined” mode, and practicing the transformation plan. [ABSTRACT FROM AUTHOR]