•Under the COVID-19 epidemic situation, the anxiety of medical workers is closely related to the increase of working stress.•Low sense of control and low psychological capital are important risk ...factors for anxiety of medical workers due to working stress.•By enhancing the sense of control and psychological capital of medical workers, it is helpful to alleviate their anxiety and maintain their mental health.
The COVID-19 pandemic has brought a lot of working stress to medical workers and has a certain impact on their mental health. Working stress is closely related to the increase in anxiety, but few studies have explored whether their relationship will be affected by positive psychological factors in the special situation.
798 medical workers were investigated online after the outbreak of the COVID-19 (10 February to 1 March 2020) in China. The relevant questionnaires were used to evaluate working stress, anxiety, sense of control, and psychological capital. The moderated mediation model test was performed using the SPSS software and PROCESS macro program.
Working stress could directly affect anxiety, and indirectly affect anxiety through sense of control. In addition, psychological capital moderated the direct effect of working stress on anxiety, which is more effective at high level of psychological capital. Psychological capital also moderated the second half of the indirect effect of working stress on anxiety, at low level of psychological capital, sense of control was more effective in predicting anxiety.
All the data in this study was collected through online questionnaire. The anxiety response measured in this study cannot be specific to the viral epidemic.
Under the COVID-19 epidemic situation, for medical workers, low sense of control and low level of psychological capital may be important risk factors of anxiety caused by working stress. Thus, strengthening the sense of control and psychological capital of medical workers would be helpful to reduce their anxiety and maintain their mental health.
In this article, we analyze and identify the optimum values for a deeper sense of the mathematical model of the COVID-19 epidemic from the reservoir to humans by using a powerful fractional homotopy ...perturbation transform method with Caputo-Fabrizio fractional derivative. We receive simulations of this propagation under high parameters. Although the results show the efficacy of the theoretic framework considered for the governing structure. The obtained results also provide lighting on the dynamic behavior of the COVID-19 model. We gave a few numerical approximations to explain the efficiency of the proposed method for various values of fractional order, which correspond to the process. Finally, we graphically demonstrate the obtained outcome.
During the COVID-19 epidemic period, people showed a stronger connection to the environment within their communities. Although tree canopy in residential areas has been shown to positively affect ...psychological distress, it is not clear whether the COVID-19 epidemic played a role in this process. Elucidation of the relationship between tree canopy and the impact on psychological distress during the COVID-19 epidemic could provide valuable information as to the best methods to help individuals cope with urban mental stress events.
A total of 15 randomly selected residential areas of Beijing were enrolled in this repeated cross-sectional study. A total of 900 residents were included in the two-waves of the investigation (450 residents per wave) before and during the COVID-19 epidemic (i.e., May 2019 and May 2020). Psychological distress was estimated using the 12-question General Health Questionnaire (GHQ-12). Tree canopy coverage (TCC) was measured through visual interpretation based on the 2013 data sources (World View 2 satellite imagery of Beijing urban areas with a resolution of 0.5 m). The demographic characteristics, distance to the nearest surrounding green or blue space, residential area house price, household density, and construction year were also collected in this study. A multivariate logistic regression, relative risk due to interaction (RERI), and synergy index (SI) were used to explore the relationships among tree canopy, COVID-19, and psychological distress.
The negative impact of the COVID-19 epidemic on mental health was significant, with the prevalence of psychological distress increased 7.84 times (aOR = 7.84, 95% CI = 4.67–13.95) during the COVID-19 epidemic period. Tree canopy coverage in the group without psychological distress was significantly higher than that of the psychologically distressed group (31.07 ± 11.38% vs. 27.87 ± 12.97%, P = 0.005). An increase in 1% of TCC, was related to a 5% decrease in the prevalence of psychological distress (aOR = 0.95, 95% CI = 0.93–0.98). An antagonism joint action between tree canopy and the COVID-19 epidemic existed (RERI = 1.09, 95% CI = 0.72–1.47; SI = 0.16, 95% CI = 0.05–0.52), and persisted enhancing only in medium (26.45%–33.21%) and above TCC level. Correlation of GHQ items and TCC significantly differed between the COVID-19 non-epidemic and epidemic periods, with the effects of tree canopy on GHQ-12 items covering topics, such as social function and depression, presumably absent because of epidemic limitations.
This study indicates that the COVID-19 epidemic harmed mental health and verified the positive effects of residential tree canopy on psychological distress in Beijing. We suggest paying more attention to residents in areas of low TCC and dealing with psychological distress caused by public health stress events based on tree canopy strategies.
•More tree canopy in residential areas was associated with better mental health.•The prevalence of psychological distress increased 7.84 times during the COVID-19 epidemic period.•The antagonism joint action between tree canopy and the COVID-19 epidemic persisted enhancing only in medium (26.45%–33.21%) and above tree canopy coverage level.•The COVID-19 epidemic limitation changed the effects of tree canopy on different GHQ-12 items.
In Argentina, the quality of care that elderly subjects with dementia living in the community received has been deeply affected by COVID-19 epidemic. Our objective was to study to what extend ...mandatory quarantine imposed due to COVID-19 had affected behavioral symptoms in subjects with dementia after the first 8 weeks of quarantine. We invited family members to participate in a questionnaire survey. The sample consisted of family caregivers (n = 119) of persons with AD or related dementia living at home. We designed a visual analog scale to test the level of the burden of care of family members. Items inquired in the survey included type and setting (home or day care center) of rehabilitation services (physical/occupational/cognitive rehabilitation) and change in psychotropic medication and in behavioral symptoms that subjects with dementia experienced before and during the epidemic. Characteristics of people with dementia and their caregivers were analyzed with descriptive statistics using the chi-square tests, p < 0.01 was considered significant. Results: The sample included older adults with dementia. Mean age: 81.16 (±7.03), 35% of the subjects had more than 85 years of age. Diagnosess were 67% Alzheimer´s dementia and 26% mixed Alzheimer´s disease (AD). Stages were 34.5% mild cases, 32% intermediate stage, and 33% severe cases as per Clinical dementia Rating score. In 67% of the sample, a family member was the main caregiver. Important findings were increased anxiety (43% of the sample), insomnia (28% of the subjects), depression (29%), worsening gait disturbance (41%), and increase use of psychotropics to control behavioral symptoms. When we compared the frequency of behavioral symptoms within each dementia group category, we found that anxiety, depression, and insomnia were more prevalent in subjects with mild dementia compared to subjects with severe dementia. We analyzed the type and pattern of use of rehabilitation services before and during the isolation period, and we observed that, as a rule, rehabilitation services had been discontinued in most subjects due to the quarantine. We concluded from our analysis that during COVID-19 epidemic there was a deterioration of behavioral symptoms in our population of elderly dementia subjects living in the community. Perhaps, our findings are related to a combination of social isolation, lack of outpatient rehabilitation services, and increased stress of family caregivers. It is necessary to develop a plan of action to help dementia subjects deal with the increased stress that this epidemic imposed on them.
To investigate changing characteristics of the industrial correlation and economic contribution of air transport in China in different periods, the industry linkage effect and the industry ripple ...effect of air transport were assessed based on an input–output analysis over the period 2007–2020. Taking the air transport sector as an exogenous variable, the production-inducing effect and the supply shortage effect were calculated, and their changing characteristics were analyzed. The result shows that China's air transport industry is gradually changing its close linkages with secondary industries, and is instead strengthening its interaction with some tertiary industries. Before the COVID-19 outbreak in 2020, the production-inducing multiplier of air transport was trending downwards and the supply shortage multiplier was trending upwards. After the COVID-19 outbreak, China's air transport industry was hit hard and both the production-inducing effect and the supply shortage effect decreased significantly. The results of this paper are of great significance in the evaluation of the industrial correlation and economic contribution of air transport and can serve as a reference for formulating policies and improving the management of the air transport industry.
•The industrial correlation of air transport in China in different periods are studied.•The economic contribution of air transport to China's national economy are analyzed.•Policy implications are presented to formulate regulations and improve management.
•SARS-CoV-2 exhibits intra-host small- and large-scale genomic variability.•SNVs are collocalized with probes and primers used in molecular diagnostic assays.•SARS-CoV-2 Spike (S) gene host a ...potential recombination hot-spot.
In December 2019, an outbreak of atypical pneumonia (Coronavirus disease 2019 -COVID-19) associated with a novel coronavirus (SARS-CoV-2) was reported in Wuhan city, Hubei province, China. The outbreak was traced to a seafood wholesale market and human to human transmission was confirmed. The rapid spread and the death toll of the new epidemic warrants immediate intervention. The intra-host genomic variability of SARS-CoV-2 plays a pivotal role in the development of effective antiviral agents and vaccines, as well as in the design of accurate diagnostics.
We analyzed NGS data derived from clinical samples of three Chinese patients infected with SARS-CoV-2, in order to identify small- and large-scale intra-host variations in the viral genome. We identified tens of low- or higher- frequency single nucleotide variations (SNVs) with variable density across the viral genome, affecting 7 out of 10 protein-coding viral genes. The majority of these SNVs (72/104) corresponded to missense changes. The annotation of the identified SNVs but also of all currently circulating strain variations revealed colocalization of intra-host as well as strain specific SNVs with primers and probes currently used in molecular diagnostics assays. Moreover, we de-novo assembled the viral genome, in order to isolate and validate intra-host structural variations and recombination breakpoints. The bioinformatics analysis disclosed genomic rearrangements over poly-A / poly-U regions located in ORF1ab and spike (S) gene, including a potential recombination hot-spot within S gene.
Our results highlight the intra-host genomic diversity and plasticity of SARS-CoV-2, pointing out genomic regions that are prone to alterations. The isolated SNVs and genomic rearrangements reflect the intra-patient capacity of the polymorphic quasispecies, which may arise rapidly during the outbreak, allowing immunological escape of the virus, offering resistance to anti-viral drugs and affecting the sensitivity of the molecular diagnostics assays.
Based on the big data and survey data of online recruitment platform, this paper empirically tests the impact of COVID-19 on the employment status and psychological expectations of college graduates. ...The results show that: under the impact of COVID-19 epidemic, both supply and demand sides of college graduates’ employment market are affected, such as the decline of recruitment demand, the rise of the employment supply, and the obvious decrease of employment market prosperity. The impacts of COVID-19 epidemic on college graduates’ employment status and psychological expectation in different cities are heterogeneous. In the short term, the epidemic has a negative impact on the employment of graduates, but the employment situation is gradually improving with the support of national policies. Under the influence of COVID-19 epidemic, graduates will change their employment location and expected salary, and they tend to choose “temporary non-employment,” and their proportions of getting offers and signing contracts are significantly reduced. This paper suggests: Firstly, we should continue to push forward the action plan of “expanding jobs in graduation season to promote employment,” and strengthen the persistence and permanence of employment promotion policies for college graduates; Secondly, encourage college students to change their employment concept and rationally adjust their employment expectations; Thirdly, to promote the development of flexible employment of college graduates, it is necessary to strengthen the propaganda of flexible employment, so that students can understand relevant policies; Fourthly, strengthen employment guidance services for graduates from poor families to ensure the continuity and stability of employment assistance policies.
In this paper, a new responsive-green-cold vaccine supply chain network during the COVID-19 pandemic is developed for the first time. According to the proposed network, a new multi-objective, ...multi-period, multi-echelon mathematical model for the distribution-allocation-location problem is designed. Another important novelty in this paper is that it considers an Internet-of-Things application in the COVID-19 condition in the suggested model to enhance the accuracy, speed, and justice of vaccine injection with existing priorities. Waste management, environmental effects, coverage demand, and delivery time of COVID-19 vaccine simultaneously are therefore considered for the first time. The LP-metric method and meta-heuristic algorithms called Gray Wolf Optimization (GWO), and Variable Neighborhood Search (VNS) algorithms are then used to solve the developed model. The other significant contribution, based on two presented meta-heuristic algorithms, is a new heuristic method called modified GWO (MGWO), and is developed for the first time to solve the model. Therefore, a set of test problems in different sizes is provided. Hence, to evaluate the proposed algorithms, assessment metrics including (1) percentage of domination, (2) the number of Pareto solutions, (3) data envelopment analysis, and (4) diversification metrics and the performance of the convergence are considered. Moreover, the Taguchi method is used to tune the algorithm’s parameters. Accordingly, to illustrate the efficiency of the model developed, a real case study in Iran is suggested. Finally, the results of this research show MGO offers higher quality and better performance than other proposed algorithms based on assessment metrics, computational time, and convergence.
The outbreak of the coronavirus disease (Covid-19) in January 2020 in Wuhan has had a significant impact on the Chinese economy, and especially on the small and medium-sized enterprises (SMEs). In ...February 2020 an online questionnaire and follow-up interviews were conducted on 4807 SMEs in Sichuan to assess the challenges associated with work resumption and the associated policy requirements. It was found that most SMEs were unable to resume work because of a shortage of epidemic mitigation materials, the inability of employees to return to work, disrupted supply chains, and reduced market demand. Many SMEs were also facing cash flow risks as they had to continue to pay for various fixed expenditures even though they had little or no revenue. As these delays in work resumption have put unprecedented pressures on the survival of many SMEs, recommendations relevant to China and other affected countries regarding cash flow relief, work resumption and consumption stimulation are given to assist SME survival and economic recovery from the disaster situation.
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