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1.
Asian Journal of University Education ; 18(4):1062-1075, 2022.
Article in English | Scopus | ID: covidwho-2100740

ABSTRACT

The Covid-19 global pandemic witnessed a paradigm shift where remote teaching and learning had to be embraced by both teachers and students alike at all education levels. The overnight rapid transition witnessed the employment of several online tools including G Suite for Education, launched by Google in 2006. Today, educational institutions all around the globe have embraced G Suite tools but one question that raises concern is its potential as a teaching and learning tool in today’s 21st century remote learning classrooms. Therefore, this paper puts forward the findings of an exploratory study that investigated a multidimensional perspective involving both pre-service teachers and lecturers’ perspectives of G Suite for Education based on four dimensions of the Technology Acceptance Model (TAM), namely perceived usefulness, perceived ease of use, behavioural intention to use and actual system use. The study was set in a private university in Malaysia involving 50 preservice teachers and four lecturers. The study employed a sequential explanatory mixed methods research design wherein data were collected via a three-pronged approach involving the use of a test, a questionnaire, and semi-structured interviews. Quantitative data analysis involved both descriptive and inferential statistics whilst qualitative data were thematically analysed. Initial findings indicated that pre-service teachers’ knowledge of G Suite for Education is at the moderate level with both students and lecturers’ having positive perceptions of G Suite based on the four dimensions of TAM. Despite a few issues of concern and challenges, the findings also implied the potential of G Suite for Education as a viable tool in today’s new norm of remote teaching and learning. (248 words) © 2022,Asian Journal of University Education. All Rights Reserved.

2.
10th IEEE Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2022 ; 2022-June:834-837, 2022.
Article in English | Scopus | ID: covidwho-2018925

ABSTRACT

In this paper, we propose a new CT slice segmentation method for patients with COVID-19 based on Transformer and Convolutional Neural Network (CNN), which will speed up the diagnosis of CT slices and improve the diagnostic efficiency. We built a network model called 'TRUNet'. This model combines the advantages of Transformer and CNN, not only can fully utilize the global context extraction of Transformer, but also combine the high resolution features learned by CNN. It improves the segmentation effect of lung CT slices to a certain extent. Experimental result shows that the method proposed in this paper can segment lung CT slices into four classes. On the test set, the mean IoU of the model reaches 0.8467. © 2022 IEEE.

3.
38th IEEE International Conference on Data Engineering, ICDE 2022 ; 2022-May:2845-2858, 2022.
Article in English | Scopus | ID: covidwho-2018817

ABSTRACT

The potential impact of epidemics, e.g., COVID-19, H1N1, and SARS, is severe on public health, the economy, education, and society. Before effective treatments are available and vaccines are fully deployed, combining Non-Pharmaceutical Interventions (NPIs) and vaccination strategies is the main approaches to contain the epidemic or live with the virus. Therefore, research for deciding the best containment operations to contain the epidemic based on various objectives and concerns is much needed. In this paper, we formulate the problem of Containment Operation Optimization Design (COOD) that optimizes the epidemic containment by carefully analyzing contacts between individuals. We prove the hardness of COOD and propose an approximation algorithm, named Multi-Type Action Scheduling (MTAS), with the ideas of Infected Ratio, Contact Risk, and Severity Score to select and schedule appropriate actions that implement NPIs and allocate vaccines for different groups of people. We evaluate MTAS on real epidemic data of a population with real contacts and compare it against existing approaches in epidemic and misinformation containment. Experimental results demonstrate that MTAS improves at least 200% over the baselines in the test case of sustaining public health and the economy. Moreover, the applicability of MTAS to various epidemics of different dynamics is demonstrated, i.e., MTAS can effectively slow down the peak and reduce the number of infected individuals at the peak. © 2022 IEEE.

4.
Nat Commun ; 13(1): 5294, 2022 09 08.
Article in English | MEDLINE | ID: covidwho-2016700

ABSTRACT

Interferon-induced transmembrane protein 3 (IFITM3) is a restriction factor that limits viral pathogenesis and exerts poorly understood immunoregulatory functions. Here, using human and mouse models, we demonstrate that IFITM3 promotes MyD88-dependent, TLR-mediated IL-6 production following exposure to cytomegalovirus (CMV). IFITM3 also restricts IL-6 production in response to influenza and SARS-CoV-2. In dendritic cells, IFITM3 binds to the reticulon 4 isoform Nogo-B and promotes its proteasomal degradation. We reveal that Nogo-B mediates TLR-dependent pro-inflammatory cytokine production and promotes viral pathogenesis in vivo, and in the case of TLR2 responses, this process involves alteration of TLR2 cellular localization. Nogo-B deletion abrogates inflammatory cytokine responses and associated disease in virus-infected IFITM3-deficient mice. Thus, we uncover Nogo-B as a driver of viral pathogenesis and highlight an immunoregulatory pathway in which IFITM3 fine-tunes the responsiveness of myeloid cells to viral stimulation.


Subject(s)
COVID-19 , Interleukin-6 , Nogo Proteins/metabolism , Animals , Cytokines/metabolism , Humans , Interleukin-6/metabolism , Membrane Proteins/genetics , Membrane Proteins/metabolism , Mice , RNA-Binding Proteins/genetics , RNA-Binding Proteins/metabolism , SARS-CoV-2 , Toll-Like Receptor 2/metabolism
5.
China Agricultural Economic Review ; 2022.
Article in English | Web of Science | ID: covidwho-1997097

ABSTRACT

Purpose Given the scarcity of data during the early stages of the COVID-19 pandemic in China, the decision-making for non-pharmaceutical policies was mostly based on insufficient evidence. The purpose of this study is to assess the effectiveness of these policies, such as lockdown and government subsidies, on rural households and identify policy implications for China and other countries in dealing with pandemics. Design/methodology/approach The authors survey 2,408 rural households by telephone from 101 counties across 17 provinces in China during the first stage of the pandemic (March 2020). The authors use the ordered probit model and linear regression model to study the overall impact of policies and then use the quantile regression model and sub-sample regression method to study the heterogeneity of the effects of government policies. Findings The authors find that logistics disruption due to lockdown negatively affected rural households. Obstructed logistics is associated with a more significant loss for high-income households, while its impact on the loss expectation of low-income households is more severe. Breeding and other industries such as transport and sales suffer more from logistics than cultivation. The impact of logistics on intensive agricultural entities is more serious than that on professional farms. The government subsidy is more effective at reducing loss for low-income households. Lockdown and government subsidies have shown heterogeneous impacts on rural households. Practical implications The overall economic losses experienced by rural households in the early stages of the pandemic are controllable. The government policies of logistics and subsidies should target specific groups. Originality/value The authors evaluate the economic impacts of lockdown and government subsidies on rural households and show their heterogeneity among different groups. The authors further demonstrate the policy effectiveness in supporting rural households during the early stages of the pandemic and provide future policy guidance on major public health event.

6.
13th Asian Control Conference, ASCC 2022 ; : 682-687, 2022.
Article in English | Scopus | ID: covidwho-1994838

ABSTRACT

At the beginning of 2020, Coronavirus Disease 2019 (COVID-19) spread widely all over the world, leading to a public health crisis in the world. Automatic COVID-19 CT segmentation can not only assist radiologists in understanding images, but also help physicians to calibrate diagnoses and provide image-guided clinical diagnosis. However, due to the inhomogeneous intensity distribution of COVID-19 in CT scans, the ambiguous and missing boundaries, and highly variable shapes of lesions, it is quite challenging to develop an automatic solution. Therefore, this paper proposes a novel Multi-Attention Guided U-Net++ (MA-UNet++) for COVID-19 segmentation. In this network, we design a novel long-skip channel-wise attention module and introduce a spatial-wise attention module to re-weight the feature representation and capture rich contextual relationships at different scales. The experiment evaluated on the COVID-19 CT Segmentation dataset, demonstrate the MA-UNet++ achieves higher segmentation accuracy than the state-of-art methods. © 2022 ACA.

7.
Natural Product Communications ; 17(8), 2022.
Article in English | EMBASE | ID: covidwho-1986555

ABSTRACT

Objectives: Coronavirus disease 2019 (COVID-19) has had a global impact and is spreading quickly. ChuanKeZhi injection (CKZI) is widely used in asthma patients. In this paper, we aimed to explore active compounds of CKZ and determine potential mechanisms against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) through network pharmacology, molecular docking and dynamic simulation studies. Materials and Methods: We used the Systematic Pharmacology Database and Analysis Platform of Traditional Chinese Medicine (TCMSP) to screen active compounds and potential target proteins of CKZ. COVID-19 target genes were screened via the American National Center for Biotechnology Information (NCBI) gene database and human gene database (GeenCards). The protein interaction network was constructed by the Protein Interaction Network Database (Search Tool for the Retrieval of Interacting Genes/Proteins (STRING)) platform. GO enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were performed by the Metascape database. The main active compounds of CKZ were docked with angiotensin-converting enzyme 2 (ACE2), spike protein S1, and SARS-CoV-2-3CL pro and also docked with hub targets. We performed molecular dynamics (MD) simulation studies for validation. Results: We finally obtained 207 CKZ potential targets and 4681 potential COVID-19 targets. Key targets included mainly AKT1, TNF, IL6, VEGFA, IL1B, TP53, JUN, CASP3, etc. There were 217 Gene Ontology (GO) items in the GO enrichment analysis (p < 0.05). The main KEGG pathways included the advanced glycation end products (AGE)- receptor for AGE (RAGE) signalling pathway in diabetic complications, rheumatoid arthritis, chemical carcinogenesis-receptor activation, alcoholic liver disease, etc. Molecular docking and dynamics simulation studies both exhibited great binding capacity. Conclusions: Network pharmacology, molecular docking and dynamics simulation studies were used to identify the potential and key targets, pharmacological functions, and therapeutic mechanisms of CKZI in the treatment of COVID-19. CKZI may be an effective and safe drug in COVID-19 treatment. However, further work is needed for validation.

9.
Hong Kong Journal of Emergency Medicine ; 29(1):17S, 2022.
Article in English | EMBASE | ID: covidwho-1978665

ABSTRACT

Background and objectives: Travel history has become an indispensable part of emergency department (ED) patient assessment due to the ongoing COVID-19 pandemic. The ability to highlight travel from free text notes may augment travel history that is not completely captured in structured data fields. We explore if named-entity recognition (NER), a natural language processing (NLP) technique, can be used to extract travel history from ED free text triage notes (FTN) using a widely available, off-the-shelf, open-source NLP tool. Methods: The FTN of 10,000 attendances at an ED were reviewed by a team of annotators, and the countries, regions, or cities of travel were extracted. The annotated notes were used to train the native, out-of-the-box NER model in SpaCy 3.0.5, which is based on a deep convolutional neural network. Predictions made by the trained model were evaluated on a previously unseen test set. Results: The NER model achieved F1 score of 97.64%, precision of 98.68%, and recall of 96.6% in capturing travel history. Conclusion: Machine learning can be used to accurately capture travel history from ED FTN.

10.
Lecture Notes on Data Engineering and Communications Technologies ; 145:365-380, 2022.
Article in English | Scopus | ID: covidwho-1971539

ABSTRACT

In recent years, the development of China’s e-commerce live broadcasting industry has been developing rapidly. With the outbreak of COVID-19, Internet users have opened the shopping mode of live broadcast by e-commerce. As a more accurate and rapid way of content dissemination, e-commerce live broadcasting has built a new mode of communication between brands and consumers, narrowed the distance between consumers and goods during online shopping, and greatly improved the sales conversion rate. At this time, the research on the generation mechanism of consumer behavioral intention in e-commerce live broadcasting platform is very key. This paper introduces three dimensions: aesthetic appeal, functional layout and financial security, and constructs a research model of online service scenario on consumer behavioral intention in the context of e-commerce live broadcast. The empirical results show that the three dimensions of aesthetic appeal, functional layout and financial security have a positive impact on consumers’ behavior intention, and have a significant positive impact on consumers’ trust. Consumer trust has a significant positive impact on consumers’ behavior intention. This study takes the multi-dimensional e-commerce live broadcast e-servicescape as the starting point, provides more reliable basis for the study of consumer behavior will, and expands the application scope of e-servicescape. The research results have certain enlightenment to help the e-commerce live broadcasting platform accurately grasp the needs of users in the process of use and realize the conversion from platform use to purchase. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

11.
Chinese Journal of Ultrasonography ; 31(6):490-496, 2022.
Article in Chinese | Scopus | ID: covidwho-1964142

ABSTRACT

Objective To investigate the alteration of right ventricular function after catheter ablation in patients with persistent atrial fibrillation (PAF) and concomitant heart failure with preserved ejection fraction (HFpEF). Methods The prospective observational study was performed in patients with HFpEF-PAF and undergoing first-time radiofrequency ablation procedures in the First Affiliated Hospital of Nanjing University between May to December 2019. Right ventricular functional parameters were measured before and 5 days, 1, 3, 6 and 12 months after the ablation by transthoracic echocardiography, respectively, including the right ventricular fractional area change (RVFAC). tricuspid annular plane systolic excursion(TAPSE), tricuspid annular diameter (TVAD). tricuspid annular peak systolic speed(TDI-S) and longitudinal strain of right ventricular free wall (RVFLS). Meanwhile, routine ECG and Holler recordings were performed at each follow-up time point. Results In this study, atrial fibrillation (AF) recurrence occurred in 4 patients at the 3rd month after ablation, and 7 patients failed to follow up due to the Covid-19. Finally, 19 patients were followed up for the evaluation of cardiac function after catheter ablation. Compared with pre-ablation, right ventricular structural and functional paramters (RVFAC, TAPSE, TVAD, TDI-S. RVFLS) improved significantly at all stages of follow-up(all P <0.05). Patients with atrial fibrillation recurrence had lower RVFLS and TDI-S at the baseline(P =0.039, P =0.019). Conclusions Right ventricular function could improve in HFpEF-PAF patients who maintain sinus rhythm after radiofrequency ablation. © 2022 ChinJUltrasonogr. All rights reserved.

12.
2nd International Conference on Artificial Intelligence and Computer Engineering, ICAICE 2021 ; : 570-574, 2021.
Article in English | Scopus | ID: covidwho-1948774

ABSTRACT

The sudden COVID-19 pandemic made us feel the limitations of offline sales. In order to let consumers fully realize the convenience of the Internet era and highlight the advantages of online sales, a personalized online florist system (OFS) is developed. The website takes JSP (JavaServer Pages) + SSM (Spring + SpringMVC + MyBatis) framework as the development technology and based on B/S (Browser/Server) structure, an online florist system based on JavaWeb is designed and implemented. © 2021 IEEE.

13.
WESTERN PACIFIC SURVEILLANCE AND RESPONSE ; 13(2), 2022.
Article in English | Web of Science | ID: covidwho-1939321

ABSTRACT

Problem: Fieldwork is a vital component of public health emergency response, yet little has been published on undertaking fieldwork safely. Safety is of particular importance with emerging pandemic viruses, which can pose additional risks to public health fieldwork staff. Context: During a pandemic, surge health staff may be drawn from diverse professional backgrounds;they may have limited experience in fieldwork or be unfamiliar with the risks posed by a novel virus. Novel pathogens pose dangers to fieldwork staff, particularly when there are global or local shortages of personal protective equipment. Action: During the coronavirus disease 2019 (COVID-19) pandemic, New South Wales (NSW) Health's Public Health Emergency Operations Centre (PHEOC) deployed staff for fieldwork in a range of settings. The PHEOC developed a protocol to systematize planning, risk assessment and management for COVID-19 fieldwork. The protocol was accompanied by training, discussion exercises and debriefs to support PHEOC fieldwork staff. Lessons learned: Effective fieldwork is an essential component of outbreak investigation and management, including stakeholder management. Here, we share and discuss key elements of the NSW Health protocol to support fieldwork during outbreak responses for emerging communicable diseases across various resource contexts. Limited understanding of novel viruses, particularly in the early phases of a pandemic, must be considered in decisions to deploy fieldwork staff and implement precautionary risk mitigation approaches. Planning is essential to protect staff and ensure ethical allocation of resources. Through appropriate selection of teams and training, surge staff can be supported to effectively conduct fieldwork.

14.
European Stroke Journal ; 7(1 SUPPL):553-554, 2022.
Article in English | EMBASE | ID: covidwho-1928146

ABSTRACT

Background: Prior studies indicated a decrease in the incidences of subarachnoid hemorrhage (SAH) during the early stages of the COVID- 19 pandemic. We evaluated differences in the incidence, severity of SAH presentation, and ruptured aneurysm treatment modality during the 1st year of the COVID-19 pandemic compared to the preceding year. Methods: We conducted a cross-sectional study including 49 countries and 187 centers. We recorded volumes for: COVID-19 hospitalizations, SAH hospitalizations, Hunt-Hess Grade, coiling, clipping, and aneurysmal SAH (aSAH) in-hospital mortality. Diagnoses were identified by ICD-10 codes or stroke databases from January 2019 to May 2021. Results: Over the study period, there were 16,247 aSAH admissions, 344,491 COVID-19 admissions, 8,300 coiling and 4,240 aneurysmal clipping procedures. Declines were observed in aSAH admissions (-6.4% [95%CI -7,-5.8];p=0.0001) during the first year of the pandemic compared to the prior year, most pronounced in high-volume SAH and highvolume COVID-19 hospitals. There was a trend towards a decline in mild and moderate presentation of aSAH (mild: -5%[-5.9,-4.3], p=0.06;moderate: -8.3%[-10.2,-6.7], p=0.06) but no difference in higher SAH severity. The clipping rate remained unchanged (30.7% vs. 31.2%, p=0.58), whereas coiling increased (53.97%vs.56.5%, p=0.009). There was no difference in aSAH in-hospital mortality rate (19.1% vs 20.1%,p=0.12). Conclusion: During the first year of the pandemic, there was a decrease in aSAH admissions volume driven by a decrease in mild to moderate presentation of aSAH. There was an increase in the coiling rate, but no change in clipping rate, nor change in aSAH in-hospital mortality.

15.
American Journal of Respiratory and Critical Care Medicine ; 205(1), 2022.
Article in English | EMBASE | ID: covidwho-1927791

ABSTRACT

Rationale: Patients with chronic obstructive pulmonary disease (COPD) suffer heightened morbidity, mortality, and readmission rates. COPD is co-prevalent with obstructive sleep apnea (OSA) in 20-60% of patients, and patients with COPD/OSA overlap are at higher risk for hospital readmission and mortality compared to COPD alone. Current COPD readmission reduction programs are focused on decreasing COPD readmissions;however, few explore impactful comorbid conditions. No study has identified peri-discharge barriers in the acute care setting from the perspective of patients with COPD/OSA or healthcare workers to identify areas of improvement. Methods: Semi-structured interviews, conducted via telephone (recorded) of hospitalized patients with COPD/OSA and acute care healthcare workers were conducted at an urban academic medical center (11/2020-1/2021) among a convenience sample of recruited participants. All recordings were transcribed and uploaded to NVivo, which facilitated thematic analysis, using an a priori codebook. Coding was conducted in rounds, and meetings were used to resolve differences and update the codebook as needed. This iterative process continued until all transcripts were analyzed. Results: Thirty-five participants were interviewed, 27 healthcare workers (HCW), 4 nurses, 6 respiratory therapists, 5 physicians, 3 case managers, 4 social workers, and 5 pharmacists, and 8 patients. The HCWs interviewed served an average of 7.5 years, were <50 years old (81.5%), and most were female (74.1%), white (81.5%), and non-Hispanic (100%). HCW respondents identified barriers that mapped to four main levels: patient, team, hospital, and the healthcare system. Select barriers HCWs identified included health literacy, patient cognitive impairments, peri-discharge time management, lack of resources for patients post-discharge, cost, and insurance. All patient interviewees were <50 years old, most were male (62.5%), white (62.5%), and non-Hispanic (87.5%). Select barriers patients identified included current SES status, care team discussions, disease burden (visits to ED/hospital), follow-up care (including transportation), and perceptions of healthcare due to COVID-19. Conclusion: Healthcare workers and COPD/OSA patients report multilevel hospital discharge barriers. To improve barriers to care for these complex patients, multilevel interventions addressing noted barriers are needed.

16.
J Hosp Infect ; 127: 91-100, 2022 Sep.
Article in English | MEDLINE | ID: covidwho-1914598

ABSTRACT

BACKGROUND: Aerosol-borne diseases such as COVID-19 may outbreak occasionally in various regions of the world, inevitably resulting in short-term shortage and corresponding reuse of disposable respirators. AIM: To investigate the effective disinfection methods, reusable duration and frequency of N95 respirators. METHODS: Based on the self-built respirator simulation test system, and under combinations of experimental conditions of three N95 respirators × 0-200 nm NaCl aerosols × three simulated breathing flow rates (15, 50 and 85 L/min) × two disinfection methods (dry heating and ultraviolet (UV) radiation), this study continuously measured the changes in filtration efficiency of all respirators during multi-cycles of '8-h simulated donning + disinfection' until the penetration reached ≥5%. FINDINGS: Multi-cycles of dry heating and UV radiation treatments on the reused (i.e., multiple 8-h donning) N95 respirators had a minimal effect (<0.5%) on the respirator filtration efficiency, and even at 85 L/min, all tested N95 respirators were able to maintain filtration efficiencies ≥95% for at least 30 h or four reuse cycles of '8-h donning + disinfection', while a lower breathing flow rate (15 L/min) plus the exhalation valve could further extend the N95 respirator's usability duration up to 140 h or 18 reuse cycles of '8-h donning + disinfection'. As the respirator wearing time extended, aerosol penetration slowly increased in a quadratic function with a negative second-order coefficient, and the penetration increment during each cycle of 8-h donning was less than 0.9%. CONCLUSION: Multi-cycles of N95 respirator reuse in combination with dry heating or UV irradiation disinfection are feasible.


Subject(s)
COVID-19 , Respiratory Protective Devices , COVID-19/prevention & control , Disinfection/methods , Filtration , Humans , N95 Respirators , Respiratory Aerosols and Droplets
17.
Chinese Journal of Laboratory Medicine ; 45(4):360-365, 2022.
Article in Chinese | Scopus | ID: covidwho-1905720

ABSTRACT

Objective To analyze the laboratory detection methods and clinical characteristics of patients with 2019-nCoV Omicron variant infection, to realize the rapid identification and diagnosis of 2019-nCoV Omicron variants. Methods Totally 80 overseas patients in First Hospital of Changsha from December 16 in 2021 to January 5 in 2022 were selected, the nucleic acids and mutant genes were detected by fluorescent PCR and genome sequencing, and the clinical characteristics of patients with 2019-nCoV Omicron variant infection were analyzed. Results The specificity was 100% (58/58) and positive predictive value was 100% (21/21) respectively, the sensitivity was 95.5% (21/22), negative predictive value was 98.3% (58/59) by detected with fluorescent PCR. It was found that there were 45-50 nucleotide displacement sites in the genome and 25-30 amino acid mutation sites in S gene fragment by genome sequencing. Clinical analysis showed that mild cases were 59.1% (13/22) in layouts, without severe and critical cases. Ages were positively associated with the clinical classification (ρ =0.698, P<0.001), foundation infections were positively associated with the clinical classification (ρ =0.636, P<0.001). Conclusions Patients with 2019-nCoV Omicron variant infection had a high viral load and long negative conversion time of nucleic acid. Ages and foundation infections were positively associated with the clinical classification. AST/ALT was higher in the early stage of the disease. Fluorescent PCR method can be used in rapid screening patients with 2019-nCoV Omicron variant infection. © 2022 Chinese Medical Journals Publishing House Co.Ltd. All rights reserved.

18.
2nd International Conference on Bioinformatics and Intelligent Computing, BIC 2022 ; : 381-384, 2022.
Article in English | Scopus | ID: covidwho-1902108

ABSTRACT

SARS-CoV-2, the causative agent of COVID-19 first emerged in Wuhan, China, in 2019. With antigen drift of the RNA beta-coronavirus, a number of variants have appeared, especially, B.1.617 variant, which rapidly spread throughout India and caused a devastating global pandemic. However, the high infectious mechanism is still under discussion. In this paper, the Susceptible-Infectious-Recovered-Deceased (SIRD) model was used for the analysis of B.1.617 variant in India to estimate its higher infectivity than the wild one. With that in mind, animal contact, social network, technology detection and government deals are raised as important drivers of transmission. Furthermore, the paper also revealed that particular special mutations in B.1.617 variant such as T478K, L452R in the S protein might affect viral fitness [1], making it highly infectious, based on the structural and binding affinity comparison to wild-type and B.1.617 variant with human ACE2. © 2022 ACM.

20.
Beijing Da Xue Xue Bao Yi Xue Ban ; 54(3):520-525, 2022.
Article in Chinese | PubMed | ID: covidwho-1887663

ABSTRACT

OBJECTIVE: To explore potential categories of parental social support for young parents under the coronavirus disease 2019 (COVID-19) epidemic, and to examine correlations of different types of parents' social support with parental burnout. METHODS: In April 2020, we conducted an online voluntary survey among young parents across China with scales and a self-designed questionnaire. The latent profile analysis method was used to analyze parents' received social support and perceived social support. The social support categories were taken as independent variables and parental burnout as dependent variables, and multiple regression analysis was carried out to explore the relationship between received social support, perceived social support and parental burnout. Finally, the moderating effect of resilience between social support groups and parental burnout was discussed. RESULTS: The results of latent profile analysis revealed three potential types of received social support, namely isolate, normal, and multi-support and the proportions of the respondents with the three profiles were 14.1%, 78.0%, and 7.9%. Four potential types of perceived social support, namely, indigent, medium, affluent and divergent and the proportions of the respondents with the four profiles were 13.7%, 29.6%, 25.3%, and 31.3%. Among them, the parents with divergent perceived social support had more perception of social support from the couple, family and relatives, but less perception of social support from net-friend, social organizations and the government. Regression analysis showed that there was no statistically significant correlation between different profiles of received social support and parental burnout, and among the groups of perceived social support, there was a statistically significant correlation between indigent and divergent types of social support and parental burnout. The divergent parents had lower levels of parental burnout compared with indigent (β=-0.120, P=0.003). Also, resilience moderated the effect of divergent perceived social support and parental burnout. Compared with the parents with low resilience, the parents with high resilience perceived divergent social support with lower parenting burnout. CONCLUSION: There are prominent latent types of received social support and perceived social support under epidemic. People with divergent perceived social support (more perceived supports from partner, family and friends) are prone to have a relatively lower risk of parental burnout. Parents with higher resilience will be more sensitive to the support of close acquaintances, and can better resist parental burnout.

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