Examining Factors That Influence Learner Retention in MOOCs During the COVID-19 Pandemic Time.

Massive Open Online Courses have become a frequent platform for learners to acquire knowledge. This study aims to explore multiple factors influencing learner retention in MOOCs during the COVID-19 pandemic. To address this, we collected quantitative and qualitative data from questionnaires and qualitative data from interviews and then analyzed them through the Partial Least Square-Structural Equation Modeling to test 14 research hypotheses. The proposed research model and research hypotheses are empirically tested with 243 participants across the world. According to the results, support is found for all of the 14 research hypotheses. We confirmed 14 factors influencing learner retention in MOOCs. The result is beneficial for designers and manufacturers of MOOCs to improve the quality of the products and facilitate online or blended learning during this special time. It could also help students improve their learning experiences. Future research could examine influencing factors of learner retention in MOOCs with interdisciplinary cooperation.

Crop Production and Security in Ningjin County of the North China Plain.

Stable growth in grain production is a critical challenge to ensure food security in North China Plain (NCP), an area dominated by smallholder farming. Food production and security of NCP largely depend on how smallholders farm their land. This study took Ningjin County of the NCP as an example to describe the characteristics of crop planting structure and the changes in crop production based on household surveys, statistics, various documents, and literature by descriptive statistics, calculation of crop self-sufficiency, and curve fitting, and aimed to reveal crop security and the influencing factors of crop production at the household level. The results were as follows: (1) Wheat and maize sown area accounted for 61.69% and 47.96% of the total sown area of crops during 2000-2020, increasing at a rate of 3.42% and 5.93%, respectively. Their planted areas increased from 27.52% and 15.54% in 2000 to 47.82% and 44.75% in 2020, respectively. (2) The self-sufficiency rate of maize showed a significant upward trend and reached its peak in 2019. the self-sufficiency rate of wheat also showed an increasing trend, from 192.87% to 617.37%, which indicates that wheat and maize can meet food self-sufficiency and the per capita grain yield is in a safe state. (3) The trends on wheat yield and fertilizer initially grew, then decreased, closely resembling an inverted "U", while the maize yield showed a pattern of increasing first and then basically remaining stable, similar to an "S" shape. A turning point for fertilizer use (550 kg/ha) was identified, indicating the limits of fertilizer use to increase yield. The national agricultural production and environmental protection policies, continuous improvement of crop varieties, as well as the farmers' traditional practices have significant impacts on crop production. This study will enhance management practices for improved yield, which can support the integrated management of agricultural production in intensive agricultural areas.

Occupational stress of physicians and nurses in emergency departments after contracting COVID-19 and its influencing factors: a cross-sectional study.

Background: Occupational stress is one of the major occupational health hazards globally. This study investigated the current situation of and factors influencing the occupational stress of physicians and nurses in emergency departments (EDs) after contracting coronavirus disease (COVID-19). Methods: An online questionnaire survey was conducted among physicians and nurses in EDs in China between January 5 and 8, 2023. A general descriptive analysis of variables was conducted, the differences in the occupational stress of physicians and nurses in EDs with different characteristics were analyzed using the chi-square test, and factors influencing occupational stress were investigated using generalized ordinal logistic regression. Results: Of the 1924 physicians and nurses in EDs who contracted COVID-19, 64.71% considered their occupational stress high or very high, with overly intense work as the primary stressor. Those with ≥ 10 years of work tenure, working in tertiary hospitals and with higher professional titles were more stressed, while females, nurses, those with a master's degree or higher, and those who continued to work after contracting COVID-19 were less stressed. There were differences in the predictors of occupational stress between physicians and nurses. Conclusion: China's physicians and nurses in EDs had high occupational stress after contracting COVID-19. Attention should be given to the occupational mental health of physicians and nurses in EDs, and training on the prevention and treatment of COVID-19 infection should be strengthened.

Consumer decisions toward halal purchase before and during COVID-19 pandemic: a grey relational analysis approach

Purpose: The main objective of this research is to investigate the factors that influence consumer purchase decisions for halal products before and during the COVID-19 pandemic, based on the Engel-Kollat-Blackwell (EKB) theory. Design/methodology/approach: The research was conducted as a survey. The influencing factors were determined based on the grey relational analysis (GRA) approach. Findings: The findings indicate before the COVID-19 pandemic, consumers mainly purchased halal products based on four key factors: purchasing experience, certification label, Internet searches and past consumption experience. However, during the pandemic, the ranking and factors have changed to six indicators, which are past consumption experience, purchasing experience, certification labels, standardized specifications, Internet searches and halal certification labels. Research limitations/implications: The study was limited by the sample size and geographical area. Nevertheless, the findings could be further explored by expanding related theories toward understand human decisions based on spiritual beliefs. Practical implications: The findings of this study have important implications for research, practice and society. Understanding the factors influencing halal purchase decisions before and during the pandemic can help businesses, policymakers and halal certification bodies to better cater to consumers' needs and preferences and ensure the continued growth and development of the halal industry. Originality/value: This study evaluates halal purchasing decisions between periods of certainty and uncertainty by using the GRA. Changes in halal consumption and purchase decisions in response to COVID-19 pandemic have become an emerging topic of discovery. The study addresses the gap in the literature regarding changes in consumer decision pattern. © 2023, Emerald Publishing Limited.

Exploration of symptom clusters during hemodialysis and symptom network analysis of older maintenance hemodialysis patients: a cross-sectional study.

BACKGROUND: Symptom networks can provide empirical evidence for the development of personalized and precise symptom management strategies. However, few studies have established networks of symptoms experienced by older patients on maintenance hemodialysis. Our goal was to examine the type of symptom clusters of older maintenance hemodialysis patients during dialysis and construct a symptom network to understand the symptom characteristics of this population. METHODS: The modified Dialysis Symptom Index was used for a cross-sectional survey. Network analysis was used to analyze the symptom network and node characteristics, and factor analysis was used to examine symptom clusters. RESULTS: A total of 167 participants were included in this study. The participants included 111 men and 56 women with a mean age of 70.05 ± 7.40. The symptom burdens with the highest scores were dry skin, dry mouth, itching, and trouble staying asleep. Five symptom clusters were obtained from exploratory factor analysis, of which the clusters with the most severe symptom burdens were the gastrointestinal discomfort symptom cluster, sleep disorder symptom cluster, skin discomfort symptom cluster, and mood symptom cluster. Based on centrality markers, it could be seen that feeling nervous and trouble staying asleep had the highest strength, and feeling nervous and feeling irritable had the highest closeness and betweenness. CONCLUSIONS: Hemodialysis patients have a severe symptom burden and multiple symptom clusters. Dry skin, itching, and dry mouth are sentinel symptoms in the network model; feeling nervous and trouble staying asleep are core symptoms of patients; feeling nervous and feeling irritable are bridge symptoms in this symptom network model. Clinical staff can formulate precise and efficient symptom management protocols for patients by using the synergistic effects of symptoms in the symptom clusters based on sentinel symptoms, core symptoms, and bridge symptoms.

Dynamic and classifier-based model SARS-CoV-2 Omicron spillover risk assessment in China

The coronavirus disease 2019 (COVID-19) continues to have a huge impact on health care and economic systems around the world. The first question to ponder is to understand the flow of COVID-19 in the spatial and temporal dimensions. We collected 7 Omicron clusters outbreaks in China since the outbreak of COVID-19 as of August 2022, selected outbreak cases from different Provinces and cities, and collected variable indicators that affect spillover outcomes, such as distance, migration index, PHSM index, daily reported cases number and so on. First, variables influencing spillover outcome events were assessed and analyzed retrospectively by constructing an infectious disease dynamics model and a classifier model, and secondly, the association between explanatory variables and spillover outcome events was constructed by fitting a logistics function. This study incorporates 7 influencing factors and classifies the spillover risk level into 3 levels. If different outbreak sites could be classified into different levels of spillover, it may reduce the pressure of epidemic prevention in some cities due to the lack of a uniform standard, which might be more conducive to achieving the goal of "dynamic zero".

Stability of SARS-CoV-2 on inanimate surfaces: A review.

The stability of SARS-CoV-2 for varying periods on a wide range of inanimate surfaces has raised concerns about surface transmission; however, there is still no evidence to confirm this route. In the present review, three variables affecting virus stability, namely temperature, relative humidity (RH), and initial virus titer, were considered from different experimental studies. The stability of SARS-CoV-2 on the surfaces of six different contact materials, namely plastic, metal, glass, protective equipment, paper, and fabric, and the factors affecting half-life period was systematically reviewed. The results showed that the half-life of SARS-CoV-2 on different contact materials was generally 2-10 h, up to 5 d, and as short as 30 min at 22 °C, whereas the half-life of SARS-CoV-2 on non-porous surfaces was generally 5-9 h d, up to 3 d, and as short as 4 min at 22 â„ƒ. The half-life on porous surfaces was generally 1-5 h, up to 2 d, and as short as 13 min at 22 °C. Therefore, the half-life period of SARS-CoV-2 on non-porous surfaces is longer than that on porous surfaces, and thehalf-life of the virus decreases with increasing temperature, whereas RH produces a stable negative inhibitory effect only in a specific humidity range. Various disinfection precautions can be implemented in daily life depending on the stability of SARS-CoV-2 on different surfaces to interrupt virus transmission, prevent COVID-19 infections, and avoid over-disinfection. Owing to the more stringent control of conditions in laboratory studies and the lack of evidence of transmission through surfaces in the real world, it is difficult to provide strong evidence for the efficiency of transmission of the contaminant from the surface to the human body. Therefore, we suggest that future research should focus on exploring the systematic study of the entire transmission process of the virus, which will provide a theoretical basis for optimizing global outbreak prevention and control measures.

Analysis of the prevalence and influencing factors of anxiety and depression in the Chinese population: A cross-sectional survey.

To explore the prevalence and influencing factors of anxiety and depression symptoms among Chinese people in 2021. Investigation teams were recruited in 120 cities across the country. Based on the data from "the Seventh National Population Census in 2021″, quota sampling was conducted on the residents of these cities to obtain samples that conformed to population characteristics. Next, baseline information on research objects was collected, and the questionnaire survey was conducted through the online questionnaire Wenjuanxing platform. The Patient Health Questionnaire-9 (PHQ-9) rating scale was used to evaluate the mental state of the subjects. The correlation between baseline information and different PHQ-9 risk intervals was analyzed using the Chi-square test and Logit model. The impact of relevant risk factors on PHQ-9 scores was analyzed using the decision tree. The Chi-square test results revealed that place of residence (p = 0.438) and obesity (p = 0.443) was not significantly correlated with PHQ-9 risk intervals. According to Logit model analysis, age (p = 0.001, 95%CI 0.84-0.96), marital status (p < 0.001, 95%CI 0.71-0.89), drinking (p < 0.001, 95%CI 1.07-1.18), diabetes or hypertension (p = 0.001, 95%CI 1.11-1.47), health care (p < 0.001, 95%CI 0.53-0.66), economic welfare (p = 0.022, 95%CI 0.85-0.99), COVID-19 vaccine (p < 0.001, 95%CI 1.28-1.72), and HPV vaccine (p < 0.001, 95%CI 0.46-0.57) were potential influencing factors of PHQ-9 risk intervals. Decision tree analysis results showed that the grouping strategy in the PHQ-9 two-side groups had a better classification effect on the questionnaire population according to the PHQ-9 score characteristics. The prevalence rate of moderate to severe depression among Chinese people was about 8.29%. Age, marital status, drinking, diabetes or hypertension, health care, economic well, COVID-19 vaccine, and HPV vaccine were potential influencing factors of anxiety and depression symptoms in Chinese people.

Spatiotemporal characteristics and socioeconomic factors of PM2.5 heterogeneity in mainland China during the COVID-19 epidemic.

Spatiotemporal variation of PM2.5 in 2018 and 2020 were compared to analyze the impacts of COVID-19, the spatial heterogeneity of PM2.5, and meteorological and socioeconomic impacts of PM2.5 concentrations heterogeneity in China in 2020 were investigated. The results showed that the annual average PM2.5 concentration in 2020 was 32.73 µg/m3 existing a U-shaped variation pattern, which has decreased by 6.38 µg/m3 compared to 2018. A consistent temporal pattern was found in 2018 and 2020 with significant high values in winter and low in summer. PM2.5 declined dramatically in eastern and central China, where are densely populated and economically developed areas during the COVID-19 epidemic compared with previous years, indicating that the significantly decline of social activities had an important effect on the reduction of PM2.5 concentrations. The lowest PM2.5 was found in August because that precipitation had a certain dilution effect on pollutants. January was the most polluted due to centralized coal burning for heating in North China. Overall, the PM2.5 concentrations in China were spatially agglomerated. The highly polluted contiguous zones were mainly located in northwest China and the central plains city group, while the coastal area and Inner Mongolia were areas with good air quality. Negative correlations were found between natural factors (temperature, precipitation, wind speed and relative humidity) and PM2.5 concentrations, with precipitation has the greatest impact on PM2.5, which are beneficial for reducing PM2.5 concentrations. Among the socio-economic factors, proportion of the secondary industry, number of taxis, per capita GDP, population, and industrial nitrogen oxide emissions have positive correlation effects on PM2.5, while the overall social electricity consumption, industrial sulfur dioxide emissions, green coverage in built-up areas, and total gas and liquefied gas supply have negative correlation effects on the PM2.5.

Prevalence of perinatal anxiety and its determinants in mainland China: A systematic review and meta-analysis.

BACKGROUND: Perinatal anxiety is among the most common mental health conditions that have a huge negative impact both on mothers and their children. This study aimed to establish summary estimates of the prevalence of perinatal anxiety and its influencing factors in Mainland China. METHODS: A systematic search was carried out from nine major English and Chinese electronic databases to identify studies published up to August 20, 2022 with data on the prevalence of perinatal anxiety. Two reviewers conducted data extraction and quality assessment. Meta-analysis was performed using a random-effects model. Subgroup and meta-regression analyses were performed when possible. RESULTS: 271 studies representing 369,477 women were included in the study. Pooled prevalence of perinatal anxiety was 17.4 % (95 % CI: 16.2 % to 18.7 %), with prenatal anxiety 17.4 % (95%CI: 16.1 % to 18.8 %) and postpartum anxiety 17.5 % (95%CI: 13.5 % to 22.4 %). However, the overall estimates presented substantial heterogeneity (I2 = 98.93 %). Qualitative summaries demonstrated some main potential risk factors of perinatal anxiety such as women with abnormal pregnancy-labor history, poor health status, pregnancy complications, and unplanned pregnancies, and some potential protective factors such as high family income, good social support, good interpersonal relationships, and history of multiple deliveries. LIMITATION: Very large heterogeneity among studies was observed in meta-synthesis, and all included studies used self-report scales to identify anxiety rather than diagnostic interviews. CONCLUSION: Varying degrees of perinatal anxiety is prevalent among Chinese women. Screening and evidence-based interventions are urgent and necessary to address this public concern and promote their health and well-being.

The Study on People's Live-Streaming Consumption of Fresh Products and Its Influencing Factors-A Data Model Analysis in the Context of COVID-19 Pandemic

Against the backdrop of the rapid development of e-commerce and the severe blow to fresh food e-commerce shopping caused by the COVID-19 Pandemic, this paper discusses consumers' perceptions of fresh food in the e-commerce live streaming mode using data mining in conjunction with a literature review and a questionnaire survey before presenting research findings that analyze influencing factors and product purchase behaviours. The total consumption and frequency of live-streaming consumption(FLSC) are closely examined in consumer behaviours. We investigate product's cost-performance cognitions(PCC), influencers cognitions(IC), logistics cognitions(LC),discounts cognitions(DC), live-streaming platforms cognitions(LPC), on-line interaction cognitions (OIC), live-streaming disadvantage cognitions(LDC), and impulsive consumption cognitions(ICC) as influencing factors. According to the data model fitting results, merchants can refer to research suggestions and optimize their marketing strategies, improve the problems in the fresh food live streaming marketing strategy, and improve consumer satisfaction, thereby promoting the development of fresh food e-commerce. © 2022 IEEE.

Influenza vaccine hesitancy and influencing factors among university students in China: a multicenter cross-sectional survey.

AIM: Highly mutable and contagious influenza poses a serious health threat to university students and their close contacts. Although annual influenza vaccination is an effective way to prevent influenza, influenza vaccination rates among Chinese university students are still low due to vaccine hesitancy. This study investigated Chinese university students' hesitancy to receive influenza vaccine and its influencing factors during the COVID-19 pandemics based on WHO's vaccine hesitancy matrix. METHODS: A multicenter cross-sectional study of university students in four cities across China was conducted via a web-based questionnaire in June 2022. Binary logistic regression was adopted to determine the factors around contextual influences, individual and group influences, and vaccines/vaccination specific issues. The reliability and validity of the questionnaire were good, with a Kronbach alpha coefficient of 0.892 and a KMO coefficient of 0.957. RESULTS: Of the 2261 Chinese university students surveyed, 44.7% had influenza vaccine hesitancy. Binary logistic regression showed that students considering high severity (OR = 0.946) or probability (OR = 0.942) of getting influenza, trusting vaccine-related advice from medical personnel (OR = 0.495) had lower odds of hesitancy. The odds of influenza vaccine hesitancy were higher if the students believed that vaccination was not necessary (OR = 4.040), had not been recommended by people around (OR = 1.476) and had no previous vaccinations or appointments (OR = 2.685). CONCLUSIONS: Medical staff are suggested to provide health education, improve doctor-patient communication and recommend vaccinations to university students to increase their risk perception and willingness to get an influenza vaccination. Collective vaccination strategies can be implemented to reduce the vaccine hesitancy for students.

Key factors influencing paediatric COVID-19 vaccine hesitancy: a brief overview and Decision-making Trial and Evaluation Laboratory analysis.

OBJECTIVES: The purpose of this study was to examine the current literature on paediatric COVID-19 vaccine hesitancy among parents and identify key influencing factors, thus enabling targeted policy development and implementation. STUDY DESIGN: This was a systematic literature review and Decision-making Trial and Evaluation Laboratory (DEMATEL) analysis. METHODS: A review of the quantitative and qualitative literature focusing on factors influencing paediatric COVID-19 vaccine hesitancy was conducted. Searches were performed in PubMed, ScienceDirect, SpringerLink and Embase. Because of the immediacy of the topic, commentaries were included in addition to research and review articles. Influencing factors were categorised according to the Health Ecology Theory and screened using the DEMATEL method. RESULTS: A total of 44 articles were included in the study, and 44 factors influencing paediatric COVID-19 vaccine hesitancy were identified. Of these, 18 were categorised as key factors using the DEMATEL method, including a history of COVID-19 infection in parents and perceived safety of the paediatric COVID-19 vaccine. CONCLUSIONS: Policymakers and public health personnel should pay more attention to the key factors influencing paediatric COVID-19 vaccine hesitancy. The outcome of this research will benefit and motivate decision-makers to consider strategies to overcome various challenges of COVID-19 vaccine hesitancy.

ICT usage in aphasia rehabilitation-beliefs, biases, and influencing factors from the perspectives of speech and language therapists

Background: The use of digital technology is promoted as an efficient route for the delivery of intensive speech and language therapy in aphasia rehabilitation. Research has begun to explore the views of people with aphasia (PwA) in relation to Information and Communication Technology (ICT) usage in the management of aphasia but there is less consideration of the prescribers' views, i.e., speech and language therapists (SLTs). Aim(s): We aimed to explore SLTs' views of ICT use in aphasia management and identify factors that influence their decisions to accept and integrate ICT in aphasia rehabilitation. In addition, we considered the findings in the context of the Unified Theory of Acceptance and Use of Technology (Venkatesh, Morris, Davis & Davis, 2003). Methods & Procedures: Speech and language therapists (n = 15) from a range of clinical and geographical settings in the Republic of Ireland were invited to participate in one of four focus groups. Focus group discussions were facilitated by an SLT researcher and were audio-recorded and transcribed. Analysis was completed following Braun and Clarke's six phases of thematic analysis (Braun and Clarke, 2006). Outcomes & Results: Four key themes were identified;i. Infrastructure, Resources, and Support, ii. SLT beliefs, biases and influencers, iii. Function & Fit, and iv. ICT and Living Successfully with Aphasia. The SLTs discussed a wide range of factors that influence their decisions to introduce ICT in aphasia rehabilitation, which related to the person with aphasia, the SLT, the broad rehabilitation environment, and the ICT programme features. In addition, several barriers and facilitators associated with ICT-delivered aphasia rehabilitation were highlighted. Conclusion(s): This research highlights a range of issues for SLTs in relation to the use of ICT in aphasia rehabilitation within an Irish context. The potential benefits of using ICT devices in rehabilitation and in functional everyday communication were discussed. However, SLTs also identified many barriers that prevent easy implementation of this mode of rehabilitation.Copyright © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

Analysis of residents' travel mode choice during COVID-19 pandemic

This paper aims to explore the impact of residents'personal attributes, household attributes, travel characteristics, pandemic perception attributes, behavioral intentions, choice attitudes and other factors on travel mode choices in different stages of the COVID-19 pandemic. A mixed Logit model is constructed based on the travel data from the sampling survey of Beijing residents under three stages of the pandemic, the initial phase, the outbreak phase, and the stabilization phase. The results show that travel distance is positively correlated with travel mode choice in all three stages of the pandemic. The maximum predicted marginal values of each stage and their corresponding variables are 3.299 (5~10 km), 2.983 (>10 km), and 3.148 (5~10 km), respectively, and long-distance travel has the greatest impact on the travel mode choice. The perceived attributes of the pandemic and travel distance have obvious moderating effects on the travel mode choice. During the pandemic outbreak period, the perceived pandemic attributes, behavioral intentions, and choice attitude variables have a significant negative correlation with the travel mode choice, and residents'psychological concern of being cross-infected during travel is obvious;only 18.8% of travelers choose to travel by bus or subway, and the travel structure changes significantly. During the stable period of the pandemic, the choice of attitude variable has a positive and significant impact on the choice of transportation mode, and the degree of influence becomes larger, indicating that travelers demand a higher rate of population contact and strictness of pandemic prevention measures for transportation mode. The research results can provide a reference basis for travel decisions of travelers under public health events and the prevention and control of the pandemic by relevant management departments. © 2022 Journal Northern Jiaotong University. All rights reserved.

Analysis of residents' travel mode choice during COVID-19 pandemic

This paper aims to explore the impact of residents'personal attributes, household attributes, travel characteristics, pandemic perception attributes, behavioral intentions, choice attitudes and other factors on travel mode choices in different stages of the COVID-19 pandemic. A mixed Logit model is constructed based on the travel data from the sampling survey of Beijing residents under three stages of the pandemic, the initial phase, the outbreak phase, and the stabilization phase. The results show that travel distance is positively correlated with travel mode choice in all three stages of the pandemic. The maximum predicted marginal values of each stage and their corresponding variables are 3.299 (5~10 km), 2.983 (>10 km), and 3.148 (5~10 km), respectively, and long-distance travel has the greatest impact on the travel mode choice. The perceived attributes of the pandemic and travel distance have obvious moderating effects on the travel mode choice. During the pandemic outbreak period, the perceived pandemic attributes, behavioral intentions, and choice attitude variables have a significant negative correlation with the travel mode choice, and residents'psychological concern of being cross-infected during travel is obvious;only 18.8% of travelers choose to travel by bus or subway, and the travel structure changes significantly. During the stable period of the pandemic, the choice of attitude variable has a positive and significant impact on the choice of transportation mode, and the degree of influence becomes larger, indicating that travelers demand a higher rate of population contact and strictness of pandemic prevention measures for transportation mode. The research results can provide a reference basis for travel decisions of travelers under public health events and the prevention and control of the pandemic by relevant management departments. © 2022 Journal Northern Jiaotong University. All rights reserved.

Does hotel customer satisfaction change during the COVID-19? A perspective from online reviews

The coronavirus disease (COVID-19) has impacted the hotel industry in all aspects. However, the changes in hotel customer satisfaction deserve additional attention. Using online hotel reviews, this study explores the difference between the influencing factors of customer satisfaction before and after the COVID-19 outbreak. By use of Latent Dirichlet Allocation and sentiment analysis, factors that affect customer satisfaction and their emotional strength before and after the COVID-19 outbreak are extracted. Then, multiple regression models are established to compare the differences of the impact of each factor on hotel customer satisfaction in different periods. According to the aforesaid study, hotel customer satisfaction and its influencing factors have changed significantly during the pandemic;hotel customer satisfaction during the pandemic is mainly influenced by service quality. Accordingly, strategies are proposed for hotel managers to improve their customer satisfaction during the COVID-19. (PsycInfo Database Record (c) 2022 APA, all rights reserved)

COVID-19 Patient Psychological Pain Factors.

The level of psychological pain in patients with COVID-19 was investigated in this study by hypothesis testing, one-way ANOVA, multi factor ANOVA, and correlation analysis. The psychological pain thermometer and post-traumatic growth assessment scale were used as research tools. Many factors appear to influence the psychological state of COVID-19 patients including practical problems, communication problems, emotional problems, physical problems, and psychiatric/relative concerns. The severity of the disease, the surrounding environment, family health problems, life perceptions, interpersonal relationships, personal strength, mental changes, new possibilities, and the total post-traumatic growth score are also affected. There is a significant negative correlation between psychological pain and post-traumatic growth. There are significant differences in the degree of psychological pain across the demographic data. Practical problems, communication problems, emotional problems, physical problems, and spiritual/religious concerns show significant effects on the degree of psychological pain.

An investigation into the forces shaping the evolution of global shipping alliances

Global shipping alliances have become an important institution in international seaborne trade. Their raison d'être is higher efficiency and lower costs, to the benefit of the consumer. However, experiences from GSA operations during the COVID-19 supply chain crisis show that GSAs may have considerable market power, not quite aligned with the spirit of the lawmaker who has exempted them from antitrust laws. This raises many questions this paper attempts to answer: What drives the formation, stability and dissolution of GSAs? And have external and internal factors, such as government policies, ship sizes and freight rates, had always the same effect on GSAs over time? We decompose industry concentration (HHI) into seven components. This is done based on the Variational Mode Decomposition model. The components are subsequently reconstructed through gray correlation. Next, a Generalized Additive Model is specified, to analyze the relationships between influencing factors and the evolution of GSAs. We look both at the development (trend) of industry concentration, as well as its fluctuations (cyclicality) over time. We show that effects vary over time, with the same factors having different impacts on GSAs at different times. The paper can assist policymakers in their efforts to regulate and supervise container shipping. © 2023 Informa UK Limited, trading as Taylor & Francis Group.

Study characteristical and regional influences on postpartum depression before vs. during the COVID-19 pandemic: A systematic review and meta-analysis.

Background: While the public is under serious pressure from the coronavirus disease 2019 (COVID-19), the final impact and possible contributing factors to postpartum depression symptoms (PPDS) remain unknown. Therefore, a meta-analysis to investigate the association between PPDS and the COVID-19 pandemic was carried out by comparing the data between pre-pandemic and post-pandemic timeframes and exploring the influencing factors. Methods: This systematic review was prospectively registered and recorded in a study protocol (Prospero CRD42022336820, http://www.crd.york.ac.uk/PROSPERO). A comprehensive search of PubMed, Embase, Web of Science, CINALH, Cochrane and Scopus was cmpleted on June 6, 2022. Studies that compared the prevalence of PPD before and during the COVID-19 pandemic period were included. Results: Of 1766 citations identified, 22 studies were included with 15,098 participates before the COVID-19 pandemic and 11,836 participants during the COVID-19 pandemic. Overall, the analysis showed that the epidemic crisis was associated with an increased prevalence of PPDS (OR: 0.81 [0.68, 0.95], P = 0.009, I 2 = 59%). Subgroup analysis was conducted according to the study characteristics and regions. Within the study characteristics classification, results showed an obvious increase in the prevalence of PPDS during the COVID-19 pandemic if PPDS cutoff was defined as Edinburgh postpartum depression score (EPDS) ≥13 points (OR: 0.72 [0.52, 0.98], P = 0.03, I 2 = 67%) and an increased prevalence in follow-ups that happened after 2 weeks (≥ 2 weeks postpartum) (OR: 0.81 [0.68, 0.97], P = 0.02, I 2 = 43%). Selected studies that were high-quality (OR: 0.79 [0.64, 0.97], P = 0.02, I 2 = 56%) demonstrated an increased prevalence of PPDS during the COVID-19 pandemic period. Sorting by regional factors, studies conducted in Asia (OR: 0.81 [0.70, 0.93], P = 0.003, I 2 = 0%) showed an increase of PPDS prevalence rates during the COVID-19 period, while studies conducted in Europe (OR: 0.82 [0.59, 1.13], P = 0.23, I 2 = 71%) and North America (OR: 0.66 [0.42, 1.02], P = 0.06, I 2 = 65%) showed no significant difference. All studies conducted in the developed (OR: 0.79 [0.64, 0.98], P = 0.03, I 2 = 65%) and developing countries (OR: 0.81 [0.69, 0.94], P = 0.007, I 2 = 0%) showed an increase of PPDS during the COVID-19 period. Conclusions: The COVID-19 pandemic is associated with an increased prevalence of PPDS, especially after long-term follow-up and among the group with a high possibility of depression. The negative influence from the pandemic, causing more PPDS was significant in studies from Asia.