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Background Socioeconomic development,lifestyle changes and the COVID-19 pandemic all have an impact on people's mental and physical health,which may affect the prevalence of mental disorders. Currently,there is still no sufficient epidemiological information of mental disorders in Xinjiang. Objective To investigate the prevalence and influencing factors of common mental disorders among people aged 15 and above in northern Xinjiang,then compare the data with those of their counterparts in southern Xinjiang,and summarize the overall prevalence of common mental disorders in Xinjiang,providing a scientific basis for the formulation of corresponding mental health plans. Methods From November 2021 to July 2022,a multistage,stratified,random sampling method was used to select 3 853 residents from northern Xinjiang to attend a survey. General Demographic Questionnaire,and self-assessment scales(the 12-Item General Health Questionnaire,Mood Disorder Questionnaire,Symptom Checklist-90,etc.) and other assessment scales(Hamilton Depression Inventory,Bech-Rafaelsen Mania Rating Scale,Brief Psychiatric Rating Scale,etc.) were used as survey instruments. Mental disorders were diagnosed by the ICD-10 classification of mental and behavioral disorders by two psychiatrists with at least five years' working experience, or by a chief or associate chief psychiatrist when there is an inconsistency between the diagnoses made by the two psychiatrists. Results The point prevalence rate and age-adjusted rate of common mental disorders in northern Xinjiang were 9.71% (374/3 853) and 10.07%,respectively. The point prevalence rate and age-adjusted rate of common mental disorders in the whole Xinjiang were 9.69%(750/7 736)and 9.90%,respectively. The point prevalence rates of mood disorders,anxiety disorders,schizophrenia,organic mental disorders,and mental retardation in northern Xinjiang were 4.83%(374/7 736),3.63% (281/7 736),0.63%(49/7 736),0.23%(18/7 736),and 0.36%(28/7 736),respectively. Multivariate Logistic regression analysis for northern Xinjiang showed that:the risk of mood disorders in females was 1.854 times higher than that in males 〔95%CI(1.325,2.593)〕;The risk of mood disorders increased by 5.210 times in 25-34-year-olds 〔95%CI(1.348, 20.143)〕 and 3.863 times in 35-44-year-olds 〔95%CI(1.030,14.485)〕 compared with that in those aged ≥ 65 years;The risk of mood disorders increased by 0.199 times in those with high school or technical secondary school education 〔95%CI (0.078,0.509)〕 and 0.147 times in those with two- or three-year college and above education 〔95%CI(0.056,0.388)〕 compared with that in illiteracies. The risk of anxiety disorder in females was 1.627 times higher than that in males 〔95%CI (1.144, 2.315)〕;The risk of anxiety disorder increased by 0.257 times in 15-24-year-olds 〔95%CI(0.091,0.729)〕,0.243 times in 45-54-year-olds 〔95%CI(0.101,0.583)〕,and 0.210 times in 55-64-year-olds 〔95%CI(0.067,0.661)〕 compared to that of those aged ≥ 65 years old. The risk of schizophrenia among people living in villages or towns was 4.762 times higher than that of those living in cities 〔95%CI(1.705,13.300)〕;The risk of schizophrenia among people with high school or technical secondary school education was 0.079 times higher than that of illiteracies 〔95%CI(0.015,0.405)〕. Conclusion The prevalence of mood disorders and anxiety disorders is high among all types of mental disorders in Xinjiang. Females,rural people,or low educated people in northern Xinjiang are more prone to various types of mental disorders. © 2023 Chinese General Practice. All rights reserved.
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The necessity for the development and enhancement of teacher commitment to satisfying students' learning needs in response to the COVID crisis is increasingly highlighted. It is not known, however, how to increase commitment in schoolteachers to boost online teaching in light of the fact that they, too, are struggling to cope with the rapid, unexpected change. A total of 601 teachers from primary and secondary schools across China participated in this study, with an average teaching experience of 15.9 years. Structural equation modelling was used to verify the significance of contextual, cognitive, affective and behavioural factors in boosting teachers' commitment to online teaching. The findings demonstrated that teacher agency played a complete mediating role in the predicting power of other factors to teacher commitment. Therefore, it was recommended that attention be paid to the practice and opportunities for teacher agentic actions, which necessitates real encounters with online teaching, allowing teachers to act meaningfully and initiate a new set of teaching strategies. Practitioner notes What is already known about this topic The large-scale transition to emergency online teaching serves as the catalyst for creating a blended or hybrid model of education provision in the long term. How hard teachers work to perform at their best and overcome obstacles to support students' learning needs in new environment relies on the intensity of teacher commitment to change. Online and blended learning requires teachers to not only be prepared for a diverse learning environment but also to build and rebuild their own identity as future teachers. What this paper adds This study adds to our knowledge of how traditional F2F classroom teachers reinvented their roles and responsibilities in response to the pandemic-driven challenges based on real-world experiences. As a result of the COVID-19 lockdown school closures, schoolteachers' commitment to enhancing online teaching efforts has increased. The study highlights the complete mediating role of teacher agency in the predicting power of cognitive and affective factors to teacher commitment. Implications for practice and/or policy To learn more about how to be a good online teacher, future teachers need greater deliberate effort in diverse online teaching activities. Future teachers should be equipped with not only new technological and remote instructional strategies and skills, but also with confidence in, value for, and actual experiences with online teaching in a technology-rich environment. For teachers to obtain hands-on experience in integrating technology with distance teaching pedagogy at a time of rapid change, schools should have some days online and offer blended learning opportunities wherever possible. © 2023 British Educational Research Association.
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The long-term impact of the COVID-19 pandemic has persisted for several years. After a period of prolonged social isolation, people may be especially vulnerable to developing issues, such as social withdrawal. Theatre has been utilised in some instances to inspire individuals to foster critical thinking and encourage them to lead a positive life. This study applies a community-based theatre test case to examine theatre practices within the framework of critical pedagogy to address emerging issues in the post-pandemic era. It aims to deliberate upon the ongoing process of the theatre workshop as well as the efficacy of theatrical approaches on an individual's personal, interpersonal and sociological difficulties. This is meant to gain a better understanding of theatre practices that operate on the edge between critical pedagogy and sociocultural intervention. The findings suggest that community-based theatres effectively inspire participants to reflect on and take action to escape oppression. Therefore, it is an innovative strategy for promoting social connectedness while supporting post-pandemic responses. This study contributes to the theoretical, practical, and experiential development of critical pedagogy by providing support for individuals, groups, and the society. © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
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To evaluate the predictive value of early warning scores for intensive care unit (ICU) admission in patients with coronavirus disease 2019 (COVID-19). For COVID-19 patients who were admitted to Shijiazhuang People's Hospital from January 2021 to February 2021, national early warning score (NEWS), national early warning score 2 (NEWS2), rapid emergency medicine score (REMS), quick sepsis-related organ failure (qSOFA), altered consciousness, blood urea nitrogen, respiratory rate, blood pressure, and age-65 (CURB-65) were used to evaluate the inpatient condition and the predictive value for ICU admission. A total of 368 patients were included, and 32 patients (8.7%) were transferred to the ICU. The median age was 49.0 (34.0,61.0) years. The scores of NEWS, NEWS2, REMS, and CURB-65 were 1 (0, 2), 1 (0, 2), 4 (2, 6) and 0 (0, 1), respectively. The receiver operating characteristic (ROC) cure (AUC) was used to evaluate the predictive value in detecting patients who are at risk of being transferred to the ICU. Area under the ROC AUC of NEWS was 0.756, sensitivity 65.6%, and specificity 71.3%. ROC AUC of NEWS2 was 0.732, sensitivity 62.5%, and specificity 61.3%. ROC AUC of REMS was 0.787, sensitivity 84.4%, and specificity 64.6%. ROC AUC of CURB-65 was 0.814, sensitivity 81.3%, and specificity 76.8%. The predictive value of NEWS and NEWS2 combined with age were significantly improved. The ROC AUC of NEWS combined with age was 0.885, sensitivity 85.1%, and specificity 75.0%. The ROC AUC of NEWS2 combined with age was 0.883, sensitivity 84.2%, and specificity 75.0%. NEWS and NEWS2 combined with age can be used as a predictive tool for whether COVID-19 patients will be admitted to the ICU.
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COVID-19 , Humans , Middle Aged , Aged , Retrospective Studies , Hospitalization , Intensive Care Units , ROC Curve , Prognosis , Hospital MortalityABSTRACT
The years since 2000 have been a golden age in in situ ocean observing with the proliferation and organization of autonomous platforms such as surface drogued buoys and subsurface Argo profiling floats augmenting ship-based observations. Global time series of mean sea surface temperature and ocean heat content are routinely calculated based on data from these platforms, enhancing our understanding of the ocean's role in Earth's climate system. Individual measurements of meteorological, sea surface, and subsurface variables directly improve our understanding of the Earth system, weather forecasting, and climate projections. They also provide the data necessary for validating and calibrating satellite observations. Maintaining this ocean observing system has been a technological, logistical, and funding challenge. The global COVID-19 pandemic, which took hold in 2020, added strain to the maintenance of the observing system. A survey of the contributing components of the observing system illustrates the impacts of the pandemic from January 2020 through December 2021. The pandemic did not reduce the short-term geographic coverage (days to months) capabilities mainly due to the continuation of autonomous platform observations. In contrast, the pandemic caused critical loss to longer-term (years to decades) observations, greatly impairing the monitoring of such crucial variables as ocean carbon and the state of the deep ocean. So, while the observing system has held under the stress of the pandemic, work must be done to restore the interrupted replenishment of the autonomous components and plan for more resilient methods to support components of the system that rely on cruise-based measurements. © 2023 American Meteorological Society.
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The COVID-19 pandemic has caused severe health problems worldwide and unprecedented decimation of the global economy. Moreover, after more than 2 years, many populations are still under pressure of infection. Thus, a broader perspective in developing antiviral strategies is still of great importance. Inspired by the observed multiple benefits of heparin in the treatment of thrombosis, the potential of low molecular weight heparin (LMWH) for the treatment of COVID-19 have been explored. Clinical applications found that LMWH decreased the level of inflammatory cytokines in COVID-19 patients, accordingly reducing lethality. Furthermore, several in vitro studies have demonstrated the important roles of heparan sulfate in SARS-CoV-2 infection and the inhibitory effects of heparin and heparin mimetics in viral infection. These clinical observations and designed studies argue for the potential to develop heparin mimetics as anti-SARS-CoV-2 drug candidates. In this review, we summarize the properties of heparin as an anticoagulant and the pharmaceutical possibilities for the treatment of virus infection, focusing on the perspectives of developing heparin mimetics via chemical synthesis, chemoenzymatic synthesis, and bioengineered production by microbial cell factories. The ultimate goal is to pave the eminent need for exploring novel compounds to treat coronavirus infection-caused diseases.
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During the COVID-19 pandemic, psychological problems have increased due to social distancing under lockdown. Theatre in the digital space, as a healing approach for mental health, is playing a role in helping people adapt to a new environment and confront mental issues, such as isolation and oppression. The nature of theatre online provides a safe environment for individuals to play, act and express themselves. Online meeting platforms allow people to connect and interact through video and audio calls. Based on the theatre workshop online sessions through electronic devices, such as internet-connected smartphones and computers, the researcher, as the facilitator with theatre acting and directing background, carried out theatre training in the digital space in partnership with the Cultural Affairs Bureau. The workshop provided a safe space for theatre education, communication, self-development, challenge acceptance and coping with life in the pandemic. Being aware of the strengths and weaknesses of the theatre online, this study investigated it in the digital space as a viable tool for enhancing individuals' capacity to accept the challenge and satisfy the need for mental health during the pandemic and post-pandemic period.
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Covid19 remains the world's greatest public health emergency. It has become indispensable to measure the temperature of people entering or leaving croweded places to ease the identification of potentially infected and to isolate them from spreading and preventing the spread of the ongoing global pandemic of coronavirus disease. This research work is focusing on thermal screening for an automated scanner using Artificial Intelligence (AI) for instinctive temperature measurement on human faces. The framework used for facial detection is known as YOLOv5 which is a family of compound-scaled object detection models trained on the COCO, a large-scale object detection, segmentation, and captioning dataset. YOLOv5 is able to detect several different objects simultaneously by using its available pre-trained models and robustness of detecting faces even at the vicinity of face masks. The research presents the application, training procedure and capability of the Yolov5. This system is not only used for the human face detection, but also for the detection of some commonly-used objects as an extension to its overall application and performance. Yolov5 is readily available to be implemented in Python, the core programming language working under an Ubuntu-based Operating System providing users the best experience. One of the important outcomes of this research work is the development of a Graphical User Interface (GUI) to work alongside the main programme flow. © 2022 IEEE.
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A new wave of the Covid-19 pandemic struck Hong Kong in February 2022. It led to construction of a temporary 1000-bed hospital and 10 000-bed isolation and treatment facility on an island site in just 51 days using factory-made modules. To achieve such rapid construction, module assembly was carried out at a separate site between the factories and site. Several new modular construction technologies were also developed, including adjustable base supports, large-span roof modules, universal safety barriers and an intelligent cloud platform for construction management. But to enable sustainable construction of such emergency buildings in future, further studies on demolition, recycling and relocation of modular buildings need to be carried out in the post-pandemic era. © 2022 ICE Publishing: All rights reserved.
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Background. Macrophages, including lung alveolar macrophages (AM), and monocytes are the first lines of defense against SARS-CoV-2. Several reports have suggested that SARS-CoV-2 can hijack AM and monocytes for replication and viral spread, which may, in turn, drive the cytokine storm associated with severe COVID-19. Herein, we describe one of many advantageous features that EDP-235, a novel and potent SARS-CoV-2 3C-like protease (3CLpro) inhibitor under development as a once-daily oral antiviral therapy for COVID-19, displays - excellent penetration into macrophages and monocytes. Methods. Intracellular uptake of EDP-235 was tested side-by-side with nirmatrelvir in rat lung AM, human monocytes and human macrophages. To determine the in vivo drug distribution into lung AM, rats were dosed orally with 25 mg/kg of EDP-235 or nirmatrelvir and plasma andAMdrug levels were analyzed by LC/MS/MS. Results. The ratios of intracellular to extracellular concentrations of EDP-235 in rat lung AM, human monocytes and human macrophages were 22.8, 22.7 and 30.5, respectively. In contrast, nirmatrelvir had ratios of 1.2 to 1.5 in these cells. Consistent with the in vitro observations, EDP-235 showed favorable rat AM penetration with an AUC0-24 ratio of 28.4 (AM over plasma), and nirmatrelvir had much less rat AM penetration with an AUC0-24 ratio of 0.5 (AM over plasma). EDP-235 had respective AUC0-24 values of 9.6 and 271.9 h*mug/mL in rat plasma and AM, while the AUC0-24 values of nirmatrelvir in rat plasma and AM were 2.7 and 1.2 h*mug/mL, respectively. Conclusion. EDP-235, a novel and potent SARS-CoV-2 3CL protease inhibitor, demonstrated excellent penetration into monocytes and macrophages, including lung AM. EDP-235 has the potential to eliminate the viral replication of SARS-CoV-2 in these critical immune cells, thus mitigating macrophage-mediated cytokine storm in high-risk COVID-19 patients. Clinical trials with EDP-235 for COVID-19 treatment and prevention are ongoing.
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As the COVID-19 pandemic evolves and new variants emerge, the development of more efficient identification approaches of variants is urgent to prevent continuous outbreaks of SARS-CoV-2. Field-effect transistors (FETs) with two-dimensional (2D) materials are viable platforms for the detection of virus nucleic acids (NAs) but cannot yet provide accurate information on NA variations. Herein, 2D Indium selenide (InSe) FETs were used to identify SARS-CoV-2 variants. The device's mobility and stability were ensured by atomic layer deposition (ALD) of Al2O3. The resulting FETs exhibited sub-fM detection limits ranging from 10(-14) M to 10(-)(8) M. The recognition of single-nucleotide variations was achieved within 15 min to enable the fast and direct identification of two core mutations (L452R, R203M) in Delta genomes (p < .01). Such capability originated from the trap states in oxidized InSe (InSe1-xOx) after ALD, resulting in traps-involved carrier transport responsive to the negative charges of NAs. In sum, the proposed approach might highly provide epidemiological information for timely surveillance of the COVID pandemic.
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Objectives: Ganoderic acid Me [GA-Me], a major bioactive triterpene extracted from Ganoderma lucidum, is often used to treat immune system diseases caused by viral infections. Although triterpenes have been widely employed in traditional medicine, the comprehensive mechanisms by which GA-Me acts against viral infections have not been reported. Sendai virus [SeV]-infected host cells have been widely employed as an RNA viral model to elucidate the mechanisms of viral infection. Method(s): In this study, SeV-and mock-infected [Control] cells were treated with or without 54.3 muM GA-Me. RNA-Seq was performed to identify differentially expressed mRNAs, followed by qRT-PCR validation for selected genes. GO and KEGG analyses were applied to investigate potential mechanisms and critical pathways associated with these genes. Result(s): GA-Me altered the levels of certain genes' mRNA, these genes revealed are associated pathways related to immune processes, including antigen processing and presentation in SeV-infected cells. Multiple signaling pathways, such as the mTOR pathway, chemokine signaling pathway, and the p53 pathways, significantly correlate with GA-Me activity against the SeV infection process. qRT-PCR results were consistent with the trend of RNA-Seq findings. Moreover, PPI network analysis identified 20 crucial target proteins, including MTOR, CDKN2A, MDM2, RPL4, RPS6, CREBBP, UBC, UBB, and NEDD8. GA-Me significantly changed transcriptome-wide mRNA profiles of RNA polymerase II/III, protein posttranslational and immune signaling pathways. Conclusion(s): These results should be further assessed to determine the innate immune response against SeV infection, which might help in elucidating the functions of these genes affected by GA-Me treatment in virus-infected cells, including cells infected with SARS-CoV-2. Copyright © 2022 Bentham Science Publishers.
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As the risk of lung disease increases in people’s daily lives and COVID-19 spreads around the world, lung screening has become critical. Owing to the unique lung tissue, traditional image segmentation methods are difficult to achieve accurate segmentation of lung tissues. In view of the complexity of lung tissue structure, it was found in the experiment that the segmentation accuracy of upper lung and lower lung parenchyma tissue was low. Aiming at this phenomenon, a new network model, new U-NET, was proposed based on the improvement and optimisation of U-NET network model. Experimental data show that the proposed new U-NET network model solves the problem of low segmentation accuracy of the original U-NET network segmentation model at both ends of lung, improves the segmentation accuracy of lung parenchyma on the whole, and verifies that the new U-NET network model is more suitable for parenchyma segmentation. Copyright © 2022 Inderscience Enterprises Ltd.
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In recent years, domestic robot industry is faced with a huge opportunity as well as severe challenges due to the four factors of age of a society, great power competition, COVID-19 and industrial upgrading. From the perspective of three elements of both pricing logic and promotion of industrial robot industry -economy, technology, talent and policy, taking EFORT industrial robots as an example, this paper analyzes the shortcomings and deficiencies in the current situation and the future development trend of industrial robot development, therefore finds the pain points of industrial robot enterprise development and makes a plan for the development of EFORT intelligent industrial robots. This paper summarizes the progress of EFORT intelligent robots and the training of robot application talents from the aspects of technology research and development, new application scenario development, business model innovation and the integration of the industrial chain and the education chain in. This paper has certain reference value for the current strategic decision-making of domestic robot industry enterprises. © 2022 SPIE.
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Macau's urban development model has many unique characteristics, including expansion of the city through sea reclamation, increasing population mainly through immigration, and economic development driven by the gaming industry. Based on data from the Macau Statistics and Census Service, this study uses the Error Correction representation of the Autoregressive Distributed Lag model (ARDL-ECM) to analyze the impact of urban development on the trends of immigration and labor migration in Macau between 1992 and 2019. Results show that both land area and wage level have positive effects on the number of migrant workers and negative effects on the number of immigrants, indicating that Macau is over-dependent on short-term migrant workers. Macau's land and human resources are tilted towards the gaming industry, resulting in a decreasing living environment and resident carrying capacity as the city develops. Therefore, this paper suggests that Macau should reduce the cost of city expansion and improve economic diversity through strengthening cooperation with neighboring mainland cities, hence sparing resources to absorb non-local talent and ensuring sustainable urban development.
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The outbreak of Covid-19 pandemic has caused millions of people infected and dead, resulting in global economy depression. Lessons learned to minimize the damage in an emerging pandemic is that timely tracking and reasonable trend prediction are required to help the society (e.g., municipality, institutions, and industries) with timely planning for efficient resource preparation and allocation. This paper presents a system to monitor the pandemic trends, analyze the correlation and impacts, predict the evolution, and visualize the prediction results to end users as social indicators. The significance lies in the fact that tracing online information collection for pandemic related prediction has less time lag, cheaper cost, and more potential information indicators. © 2022 IEEE.
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In the unsupervised domain adaptive transfer learning process，domain-independent features lead to the degradation of model segmentation performance，but there is no effective feature selection method for transfer learning segmentation model at present. To solve this problem，a general feature selection module for transfer learning was proposed based on optimal transport，which can be applied to various unsupervised domain adaptive image segmentation models. In this module，the optimal sample subsets of two domains are selected by weighted optimal transport of segmentation accuracy，and then the features of sample subsets are subjected to entropy regularized optimal transport，so as to obtain a descending list of similarity between two domains to remove domain-independent features. The universal feature selection module is applied to three unsupervised domain adaptive models to solve the problem of Covid-19 image segmentation，which improves the model performance to a certain extent. © 2022 Editorial Board of Jilin University. All rights reserved.
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Since the outbreak of novel coronavirus pneumonia (COVID-19), many research institutes and enterprises at home and abroad have been accelerating the research of COVID-19 (SARS-CoV-2) antibody drugs. However, the research on effective drugs was limited by the drug polymorphisms. The environment of drug production, storage and use also affected the stability of the drug. As a fast, non-destructive testing method, infrared spectroscopy can reflect the differences in drug structure, crystal form and even manufacturing technique to the vibration spectrum, which greatly improves the efficiency of R&D (research and development). In this paper, three clinical trials were considered effective drugs for the treatment of COVID-19: Chloroquine diphosphate, Ribavirin and Abidol hydrochloride. Their far-infrared spectrum (1~10 THz) and mid-infrared spectrum (400~4 000 cm-1) were measured by Fourier transform infrared spectrometer (FTIR). In the far-infrared spectrum, the characteristic peaks of Ribavirin were around 2.01, 2.68, 3.37, 4.05, 4.83, 5.45, 5.92, 6.42 and 7.14 THz;the characteristic peaks of Chloroquine phosphate were near 1.26, 1.87, 2.37, 3.06, 3.78, 5.09 and 6.06 THz;the characteristic peaks of Abidol hydrochloride were located near 2.24, 3.14, 3.72, 4.25 and 5.38 THz. Based on density functional theory, the B3LYP hybrid functional and 6-311++G (d, p) basis sets were selected to analyze the vibrational modes corresponding to all characteristic peaks in the spectrum using Crystal14 and Gaussian 16 software, and the accurate identification of the vibration spectrum was realized. The vibrational modes originated from the molecules' collective vibration in the far infrared region. In the mid-infrared band, below 2 800 cm-1, the vibrational modes mainly came from the in-plane and out-of-plane bending and rocking of the group;Above 2 800 cm-1, the vibrational modes transited to the in-plane stretching of C-H, O-H and N-H bonds. Taking the crystal structure with periodic boundary conditions as the initial configuration of the theoretical calculation would make the calculated spectrum more consistent with the experimental one, especially in the far-infrared band and the low-frequency band of mid-infrared (400~1 000 cm-1). This study was of great significance to deeply understand the pharmaceutical characteristics, drug interactions, control of drug production process, and guide the storage and use of antiviral drugs such as Chloroquine phosphate, Ribavirin and Abidol hydrochloride. © 2022 Science Press. All rights reserved.
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Coronavirus disease 2019 (COVID-19) continues to be prevalent all over the world and mutant strains are constantly appearing, the application of vaccine is still an important method of epidemic prevention and control. Mucosal immunity plays an important role in preventing severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) invasion. The currently marketed injectable COVID-19 vaccine mainly activates humoral immunity, but it is difficult to induce effective mucosal immunity, and it is unable to prevent pathogen invasion in the early stage of virus infection. Compared with injection vaccination, inoculation of the COVID-19 vaccine through mucosal routes such as nasal or oral can closely imitate the natural infection pathway of the virus and induce a comprehensive immune response. It is an ideal choice for rapid and extensive vaccination because it has the advantages of simple and convenient use, easy to achieve self-management of vaccinators, reduced demand for professional medical personnel and so on. In this paper, we summarized and analyzed the products and technical platforms of COVID-19 vaccine inoculated by oral route, in order to provide reference for related research work. © 2022, Chinese Pharmaceutical Association. All rights reserved.
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The spread of the COVID-19 pandemic has gradually promoted blended teaching based on Small Private Online Course (SPOC) as a common teaching practice in most higher education institutions. Teachers play a critical role in the successful implementation of blended teaching. Questions regarding the factors that influence teachers’ implementation strategies for SPOC-based blended teaching in higher vocational colleges, positively or negatively, are raised. This research investigated 63 English as a foreign language (EFL) teachers from four higher vocational colleges in China who are implementing SPOC-based blended teaching, encoded the obtained data at three levels, explored factors influencing EFL teachers’ implementation of SPOC-based blended teaching, and constructed a theoretical model of the factors influencing teachers’ implementation of SPOC-based blended teaching in which SPOC-based teaching intention is a pre-influencing factor, whereas the school incentive mechanism and curriculum platform satisfaction serve as situational influencing factors. This study can help EFL teachers improve the implementation of SPOC-based blended teaching and further optimise SPOC-based blended teaching policies and measures for stakeholders in practice. © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.