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1.
Aerosol and Air Quality Research ; JOUR(11), 22.
Article in English | Web of Science | ID: covidwho-2090601

ABSTRACT

Many types of microorganisms, including SARS-CoV-2, can spread through aerosols. Indoor medical environments are abundant in bioaerosols, which can cause infections among medical staff members and patients in hospitals. Given the ongoing COVID-19 pandemic, using a steadystate displacement air purification system may reduce the spread of SARS-CoV-2 and other microorganisms. In this study, we analyzed the purification effect of the steady-state displacement air purification system on bioaerosols in the bronchoscopy room of the hospital. In particular, bioaerosols were collected from the bronchoscopy room at different periods from April to May 2021. Among them, the microorganisms contained in the bioaerosol were identified using nextgeneration sequencing (NGS) and culture and strain identification. During the experiment, we took 5 sampling points to collect the bioaerosols. The total purification efficiency was 88.0% (NGS) and 87.5% (microbial culture count and identification). The results were significantly different between the purified and unpurified groups. In an occupant environment in the bronchoscopy room, the steady-state displacement air purification system exerted a favorable removal effect on the bioaerosols. Such purification efficiency may help prevent the in-hospital spread of COVID-19 and various infectious diseases.

2.
World Review of Political Economy ; 13(2):263-290, 2022.
Article in English | Web of Science | ID: covidwho-2072242

ABSTRACT

Organized around the theme "Rethinking Economic Analysis: The Perspective of Political Economy," the 15th Forum of the World Association for Political Economy was hosted by the World Association for Political Economy and the Shanghai International Studies University on December 18 and 19, 2021. Nearly 300 scholars from more than 40 countries discussed in depth the topics of Marxist and capitalist economics;the crisis and criticism of capitalism;envisioning socialism;socialism with Chinese characteristics for a new era;agricultural problems;ecological problems and new economic forms from the perspective of political economy;the plight of developing countries and how to solve it;political and economic considerations related to COVID-19;multipolarization, and geopolitical economy. The scholars attending the forum put forward many scientific theories and policy suggestions, which strengthened the position of Marxist political economy and provided an important ideological weapon helping working people all over the world to unite against the irrational capitalist system and the hegemonic acts of the new imperialism, while promoting the construction of a community with a shared future for mankind and the creation of a new form of human civilization.

3.
38th IEEE International Conference on Data Engineering, ICDE 2022 ; 2022-May:3134-3137, 2022.
Article in English | Scopus | ID: covidwho-2018818

ABSTRACT

Knowledge graphs capture the complex relationships among various entities, which can be found in various real world applications, e.g., Amazon product graph, Freebase, and COVID-19. To facilitate the knowledge graph analytical tasks, a system that supports interactive and efficient query processing is always in demand. In this demonstration, we develop a prototype system, CheetahKG, that embeds with our state-of-the-art query processing engine for the top-k frequent pattern discovery. Such discovered patterns can be used for two purposes, (i) identifying related patterns and (ii) guiding knowledge exploration. In the demonstration sessions, the attendees will be invited to test the efficiency and effectiveness of the query engine and use the discovered patterns to analyze knowledge graphs on CheetahKG. © 2022 IEEE.

4.
Engineering, Construction and Architectural Management ; 2022.
Article in English | Scopus | ID: covidwho-2018452

ABSTRACT

Purpose: This paper aims to analyze Hangzhou Urban Brain in responding to COVID-19, including systematically sorting out the development mode, capabilities, composition and application of Urban Brain and exploring its role and effect. This paper tries to provide a reference for other cities' digital infrastructure construction through case analysis. Design/methodology/approach: The authors took Hangzhou Urban Brain as a typical case in urban digital infrastructure construction, and they conducted thorough research on its practice in facing COVID-19. The authors analyzed the key elements of Urban Brain, the application and the evaluation of Urban Brain through literature review, field investigation, questionnaire and interviews. Findings: Hangzhou Urban Brain has been deeply applied in urban management and has a good foundation. Therefore, when the COVID-19 occurred, the Urban Brain played an important role. The detailed practices facing COVID-19 are mainly in five aspects: information collection and analysis, ensuring material supply by government–enterprise collaboration, using AI and Big Data to “Visualize” COVID-19, etc. Moreover, Urban Brain has won high evaluation. However, Hangzhou Urban Brain still has problems like data privacy and security, technical issues, etc. Originality/value: This case study shows that Hangzhou's experience in Urban Brain construction is worthy of reference and promotion. Firstly, it can strengthen the understanding of digital infrastructure in responding to public health emergencies. Furthermore, it provides a reference for other urban governance worldwide by excavating the role and effect of digital infrastructure in preventing and controlling COVID-19. Thirdly, it explores how to improve the digital infrastructure construction to support public health challenges, which will help the cities grasp the actual value of data and make progress in this field. By this, it can provide references for cities in the world, especially in Asia to achieve sustainable city development. © 2022, Emerald Publishing Limited.

5.
Chinese Journal of Evidence-Based Medicine ; 22(8):932-947, 2022.
Article in Chinese | EMBASE | ID: covidwho-2006473

ABSTRACT

Objective To evaluate the evidence of the experience with medical sewage treatment procedures in medical institutions in China. Methods Databases including CNKI, WanFang Data, PubMed, Web of Science, and EBSCO were electronically searched to collect studies on the medical sewage treatment process, flow, and specifications in medical institutions in China. We used the quality evaluation system to classify and grade the experiences based on the principles and methods of evidence-based science and performed a descriptive analysis. Results After the SARS pandemic in 2003, China systematically established and standardized the technical criteria of medical sewage treatment and discharge. Moreover, a prevention system for the epidemic using medical sewage was constructed, which guaranteed that the quality of medical sewage treatment and discharge would meet the criteria and protect the citizens, and the technical specifications of medical sewage treatment would progress and increase strictly. At present, medical sewage treatment in medical institutions in China was based on mechanical and biological methods, and disinfection was mainly performed using chlorine and its compounds, ozone, and ultraviolet light. Conclusion The COVID-19 pandemic requires a higher quality of medical sewage treatment and discharge criteria for medical institutions in China. To meet these criteria, all medical institutions in China should check, replace, and update their old facilities;strengthen personnel training and effectively ensure the quality of medical sewage treatment.

6.
Chinese Journal of Comparative Law ; 2022.
Article in English | Web of Science | ID: covidwho-1997050

ABSTRACT

The Centre for Chinese and Comparative Law and Asian Business Law Institute jointly organised an academic roundtable entitled 'Insolvency Law and Policy in Times of COVID-19 and Beyond' on 29 March 2022. The event brought together judges, scholars, experts and professionals from world-leading universities and institutions. This note sets out a summary of the proceedings held at the academic roundtable.

7.
Chinese Journal of Disease Control and Prevention ; 26(6):696-702, 2022.
Article in Chinese | EMBASE | ID: covidwho-1928935

ABSTRACT

Objective To analyze the work situation of the personnel in Beijing Centers for Disease Prevention and Control during the novel coronavirns disease 2019 (C0VID-19) epidemic,and to provide references for improving the construction of the capital5 s disease control and prevention system. Methods Cross-sectional survey and cluster sanpling methods were used. A total of 422 municipal-level and 664 district-level professional technicians from CDCs who were mainly involved in epidemic prevention and control in Beijing were included in the study. Self-designed questionnaires were used to collect the basic information, work intensity and satisfaction and other data. The statistical description and test analysis were carried out. Results Among professionals, 64. 36% had nornal workload, and 76. 89% had overload during the epidemic prevention and control period. The proportion of disease control personnel expressing dissatisfaction "with the usual salary level "was 54. 51%, and the satisfaction with the professional title promotion w-as mostly at the average level (45. 58%). The proportions of satisfaction with the prevention and control work arrangements and logistical support during the COVID-19 epidemic were 49. 08% and 54. 42%, respectively. Only 21. 73% professionals were satisfied with the temporar w-ork subsidy. From the perspective of population distribution, staffs at the municipal and district levels and in different job positions were mainly dissatisfied with the salar level (all P<0. 05). Most of staffs who undertook different prevention and control responsibilities were satisfied with the work arrangements and logistics support (all P<0. 05), but they w-ere dissatisfied with the temporar work subsidies (H = 27. 076, P = 0. 012). Among the survey respondents, 44.48% had thoughts of resigning. Regardless of the municipal and district levels, different professional titles or positions, the wdllingness to resign was generally high (all P>0. 05). The primar reason for wanting to leave was the low salary level, followed by difficulty in promotion of professional titles and poor development prospects which were also major considerations. Conclusion It is suggested to improve the stability of CDCs staffs and promote the high-quality and sustainable development of the disease control and prevention system by improving the personnel allocation, strengthening the interdisciplinary talent reserve, improving the salary system and optimizing the professional title appointment mechanism.

8.
American Journal of Respiratory and Critical Care Medicine ; 205(1), 2022.
Article in English | EMBASE | ID: covidwho-1927855

ABSTRACT

Rationale: Recent advancements in sequencing technologies have led to a substantial increase in the scale and resolution of transcriptomic data. Despite this progress, accessibility to this data, particularly among those who are coming from non-computational backgrounds is limited. To facilitate improved access and exploration of our single-cell RNA sequencing data, we generated several data sharing, mining and dissemination portals to accompany our idiopathic pulmonary fibrosis (IPF), chronic obstructive pulmonary disease (COPD), and lung endothelial cells (Lung EC) cell atlases. Descriptions and links of each website can be found here: https://medicine.yale.edu/lab/kaminski/research/atlas/. Methods: Each interactive data mining website is coded in the R language using the Shiny package and is hosted by Shinyapps.io. Percell expression data for each website is stored on a MySQL database hosted by Amazon Web Services (AWS). Time-associated website engagement statistics and gene query information is collected for each website using a combination of Google Analytics and a gene search table stored on our MySQL database. User exploration of available data is facilitated through several easy-touse visualization tools available on each website. Results: Website usage statistics since the publication of each website shows that 9,772 unique users from 56 countries and five continents have accessed at least one of the three websites. At the time of writing, 300,748 total queries have been made for 15,627 unique genes across the websites. The top five searched genes for the IPF Cell Atlas are CD14, ACE2, ACTA2, IL11 and MUC5B while for the COPD Cell Atlas they are FAM13A, MIRLET7BHG, HHIP, ISM1 and DDT. Finally, the top searched genes for the Lung Endothelial Cell Atlas are BMPR2, PECAM1, EDNRB, APLNR and PROX1. Of note, interaction with the IPF Cell Atlas increased dramatically at the start of the COVID-19 pandemic, with queries for the ACE2 gene, the putative binding receptor for the SARS-CoV-2 virus, increasing substantially at the pandemic's onset in the United States. Conclusions: Usage statistics, gene query information and feedback from users, both within academia and industry, have shown broad engagement with our websites by individuals across computational and non-computational backgrounds. We envision widespread adoption of web-based portals similar to ours will facilitate novel discoveries within these complex datasets and new scientific collaborations.

9.
Chinese Journal of Laboratory Medicine ; 45(4):393-398, 2022.
Article in Chinese | Scopus | ID: covidwho-1911767

ABSTRACT

Objective To study the difference in the extraction efficiency of the novel coronavirus (2019-nCoV) nucleic acid by using magnetic beads method, centrifugal column method and one-step method. Methods On March 5, 2021, 10 throat swabs were collected from the staff working in the nucleic acid sampling room in Department of Clinical Laboratory, Affiliated Taikang Xianlin Drum Tower Hospital, Medical School of Nanjing University. The positive quality control samples were mixed into the swabs and used as mock positive samples. The RNA was extracted from simulated positive samples and their diluted samples by using magnetic beads method, centrifugation column method and one-step method. The purity (A260/A280 ratio) and concentration of the nucleic acid obtained were measured by micro-uv photometry, and fluorescence quantitative PCR was performed to compare the CT value and extraction efficiency. The three methods were used to extract the simulated weak positive specimens and to compare the difference of CT values after amplification. The measurement data that followed normal distribution were expressed by x ± s, the t test was used for comparing in the same group, and single factor analysis of variance was used for comparing among multiple groups. A P value smaller than 0.05 indicated a significant difference. Results 2019-nCoV nucleic acid extracted by magnetic bead method, centrifugal column method and one-step method could amplify positive results. There was no significant difference between the CT value of RNA amplification extracted by magnetic bead method and one-step method (t=- 0.995, P=0.376). The CT values of orf1ab gene amplified by centrifugal column method, magnetic bead method and one-step method were 29.28±0.06, 30.82±0.14 and 29.79±0.01 respectively (F=11.196, P=0.041). The CT values of E gene were 28.52±0.40, 27.33±0.78 and 27.38±0.13 respectively (F= 3.407, P=0.169). The CT values of N gene were 28.61±1.02, 27.24±0.20 and 27.25±0.47, respectively (F=2.880, P=0.020). The CT values of human genes extracted by centrifugal column method, magnetic bead method and one-step method were 19.68±0.36, 20.14±0.06 and 20.58±0.49 respectively, which was statistically significant (F=4.904, P=0.048). The CT value of amplified human gene was affected by the dilution of human samples twice. The CT value of undiluted samples was smaller than that of diluted samples twice, with a difference of 2.95±0.22, which was statistically significant (t=-3.025, P=0.039). The extraction time of one-step method, magnetic bead method and centrifugal column method were (15.00±1.50), (20.00±1.50) and (40.00±5.5) min respectively, and the difference was statistically significant (F=688, P=0.027). Conclusions Magnetic bead method, centrifugal column method and one-step method can be used to extract 2019-nCoV nucleic acid, for the centrifugal column method has a higher extraction efficiency than the magnetic bead method and the one-step method. The one-step method is the fastest, followed by the magnetic bead method and the centrifugal column method. A large number of clinical samples can be processed using the magnetic bead method and one-step method. One-step rapid nucleic acid test can also be performed on samples from emergency and fever clinics. It is not recommended to dilute specimens for testing. In order to improve the detection rate, extracting RNA from highly suspected samples with negative initial nucleic acid test by centrifugal column method is suggested. © 2022 Chinese Medical Journals Publishing House Co.Ltd. All rights reserved.

10.
Journal of Geo-Information Science ; 24(6):1019-1033, 2022.
Article in Chinese | Scopus | ID: covidwho-1903896

ABSTRACT

The "Belt and Road" is a major international cooperation initiative proposed by China to adapt to current development needs. It has six economic corridors as its core pillars. The region of interest spans the three continents of Asia, Europe, and Africa, involving a large number of countries with varied regional geographical conditions and complex resources and environment backgrounds. Determination of resources and environmental information along the routes in a systematic and comprehensive manner will play a crucial role in decision-making support for promoting the scientific implementation of the Belt and Road Initiative. Considering the complex background of geographical resources, the environment, and the diverse international cooperation needs, the exploitation and utilization of resources and environmental information along the "Belt and Road" face several opportunities and challenges. This paper proposes a Spatial Information Service System for the Belt and Road Initiative, which is oriented toward collaborative innovation. Two technical routes, top to bottom and bottom to top, are used to demonstrate the overall framework of information acquisition and utilization, and generation of information services for decision support. The progress on resources and environmental information development and services in the six economic corridors is reviewed, including resources and environment patterns and their spatiotemporal evolution, monitoring and evaluation of the United Nations Sustainable Development Goals(SDGs), key technology application in disaster risk reduction knowledge service, resources and environmental information integration and sharing, and the effect of COVID-19 on economic and social development, which can provide a reasonable foundation and reference for the establishment of a comprehensive system for "Belt and Road" resource, environment, and spatial information service. Finally, the development trends and the main directions for potential research and cooperation are highlighted, including strengthening the comprehensive collection and service capabilities of basic resource and environmental data, providing further contributions to data and methods on SDGs target monitoring and evaluation in China, integrating the entire chain of data, information, and knowledge of disaster risk reduction applications, promoting the integration and sharing of resource and environmental data with harmonized standards, and promoting the construction and application of collaborative innovation platforms involving multiple parties. The research would provide a reference for promoting the development and utilization of synchronous data resources, information integration and sharing, and the construction of collaborative innovation application environment of the "Belt and Road" economic corridor, thus, promoting decision-making support for the sustainable development of the "Belt and Road" Initiative. © 2022, Science Press. All right reserved.

11.
Asian Am. J. Psychol. ; : 12, 2022.
Article in English | Web of Science | ID: covidwho-1795837

ABSTRACT

What is the public significance of this article? East Asian Americans confronted with anti-Asian microaggressions during the coronavirus disease (COVID-19) pandemic who engaged with the aggressor had more stress, but better mental health outcomes compared to participants who ignored microaggressions. An unanticipated outcome of coronavirus disease (COVID-19) has been increased Sinophobia directed toward Asian Americans. The present study used a mixed-methods design and investigated how 345 East Asian Americans responded to COVID-19-related microaggressions and how their responses affected stress and well-being. The qualitative data included 196 narratives describing anti-Asian microaggressions experienced by participants during COVID-19. Four themes emerged from narratives including nonverbal rejection responses, verbal rejection, physical assault, and exposure to aggression on the social media. Additionally, quantitative data collected participants' responses to scales measuring microaggressions, personal resilience, social support, coping strategies (engagement and disengagement coping), stress, and psychological well-being. Path analysis showed that participants who reported more microaggressions experienced significantly more stress. Participants with more social support had better psychological well-being. Those with stronger personal resilience were more likely to use engagement coping. Even though engagement coping was associated with more stress, confronting aggressors was also associated with better psychological well-being compared to ignoring the threat (disengagement coping). Implications of these findings are discussed.

12.
Discovery Medicine ; 31(164):121-127, 2021.
Article in English | Web of Science | ID: covidwho-1766877

ABSTRACT

Background. Few studies reported the risk factors of fatal outcome of hospitalized patients with coronavirus disease 2019 (COVID-19). We aimed to identify the independent risk factors associated with fatal outcome of hospitalized COVID-19 patients. Methods. The clinical data of 109 consecutive COVID-19 patients including 40 (36.7%) common cases and 69 (63.3%) severe cases were included and analyzed. Results: Multivariate regression analysis indicated that platelets (PLT, OR, 0.988;95% CI, 0.978-0.998;P=0.017) and C-reactive protein (CRP) (OR, 1.047;95% CI, 1.026-1.068;P<0.001) levels were the independent risk factors of fatal outcome in COVID-19 patients. The optimal cut-off value of PLT counts for predicting fatal outcome was 161x109/L with the area under receiver operating characteristic curve (AUROC) of 0.824 (95% CI, 0.739-0.890). The optimal cut-off value of CRP for the prediction of fatal outcome was 46.2 mg/L with the AUROC of 0.954 (95% CI, 0.896-0.985). The CRP levels had higher predictive values for fatal outcome than PLT (P=0.016). The cumulative survival rate was significantly higher in patients with PLT>161x10(9)/L compared with patients with PLT <= 161x10(9)/L (89.4% vs. 12.5%, log-rank test chi(2)=72.17;P<0.001). Survival rate of COVID-19 patients was prominently higher in CRP <= 46.2 mg/L patients compared with patients with CRP>46.2 mg/L (95.9% vs. 22.9%, log-rank test chi(2)=77.85;P<0.001). Conclusions. PLT counts and CRP levels could predict fatal outcome of hospitalized COVID-19 patients with relatively high accuracy.

13.
Springer Protocol. Handb. ; : 219-234, 2022.
Article in English | EMBASE | ID: covidwho-1718506

ABSTRACT

The COVID-19 pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has become the biggest challenge in public health worldwide. Similarities among viral receptors predict that there are several animal species that could function as reservoirs for the virus. Recent studies have reported that felid animals, including wild and domestic cats, are highly susceptible to SARS-CoV-2 infection. These findings cause great concerns on the potential for human-to-animal and animal-to-human transmission, along with the virus mutations that appear as the virus goes back and forth between species. It is urgently needed to develop novel reagents for control of viral infection and preventing interspecies transmission. In this chapter, we described protocols for generation of a mouse-feline chimeric neutralizing antibody against SARS-CoV-2. This chimeric antibody has potential to be developed as a diagnostic tool and therapeutic agent against SARS-CoV-2 infections in cats.

14.
Discov Med ; 32(165):39-47, 2021.
Article in English | PubMed | ID: covidwho-1711114

ABSTRACT

BACKGROUND: The follow-up data of discharged patients with coronavirus disease 19 (COVID-19) have not yet been fully analyzed and reported. This study aimed to evaluate the clinical features, test results, and outcomes of COVID-19 patients after discharge. METHODS: 149 COVID-19 patients with follow-up data after discharge were included. Post-hospitalization data related to clinical features and outcomes were obtained by following the patients up to 6 weeks. RESULTS: The COVID-19 patients were followed for a median of 28.0 days (range of 22 days to 42 days) after discharge from hospital. At the end of follow-up, four patients (2.7%) still had cough. The proportions of leukopenia and lymphopenia were 7.4% and 4.7%, respectively. The proportions of ALT, AST, and Cr abnormalities were 26.2%, 6.0%, and 0%, respectively. Abnormal chest CT was detected in 94 (63.1%) patients, including 14 (9.4%) unilateral pneumonia and 80 (53.7%) bilateral pneumonia. However, the proportion of chest CT abnormality significantly decreased compared to that at the time of admission. CONCLUSIONS: One month after discharge, few patients with COVID-19 had clinical symptoms;however, a substantial proportion of COVID-19 patients harbored abnormal laboratory and radiological examinations. Moderately long-term medical follow-up would justifiably benefit COVID-19 patients after discharge.

15.
British Food Journal ; ahead-of-print(ahead-of-print):28, 2021.
Article in English | Web of Science | ID: covidwho-1550669

ABSTRACT

Purpose The purpose of this paper is to develop a model to examine how different technological and cognitive cues related to mobile food ordering applications (MFOAs) impact diners' intentions to use MFOAs continuously. The moderating role of national household demographics was also assessed in the online-to-offline (O2O) food delivery services (FDS) context. Design/methodology/approach Drawing insights from the uses and gratification (U&G) theory, an online sample survey of 968 valid respondents who had ordered or purchased food through delivery apps during the COVID-19 outbreak in China was used for the analysis. The proposed model was empirically tested using structural equation modeling. Findings The results revealed that cues in MFOAs (i.e. ease of use, convenience, price saving orientation, the listing of various food choices, exploring restaurant patterns, and compatibility) directly influenced diners' e-satisfaction and that intention to use continuously is triggered by e-satisfaction during the COVID-19 crisis. Moreover, this study found that collectivist household diners emphasized ease of use, convenience, and compatibility. Comparatively, individualistic household diners placed more importance upon price saving orientation and listing of various food choices during the pandemic. Originality/value The authors offer a new insight into customers' dining choices by extending the scope of O2O services in the food industry. The findings contribute to understanding diners' purchase decision-making processes regarding MFOAs' O2O-FDS during the COVID-19 crisis. The multi-group comparison via national household demographics also provides a new perspective regarding different dining preferences toward O2O-FDS.

16.
30th ACM International Conference on Information and Knowledge Management, CIKM 2021 ; : 4273-4282, 2021.
Article in English | Scopus | ID: covidwho-1528565

ABSTRACT

The ability to infer an individual's expertise for a given skill has proven to be crucial in creating economic opportunity for every talent of the global workforce. Applications ranging from recommending relevant job opportunities to talents to providing better candidate suggestions to recruiters, all benefit from deep understanding of the skill "proficiency"of the talent pool. LinkedIn's "Skill"profile section can be leveraged in this expert finding task. Whereas it is easy to incentivize members to put skills on their profile, estimating members' expertise is much more challenging for several reasons. First, the collection of ground-truth data at scale can be expensive and challenging. Second, "being proficient at a certain skill"can have very different meaning in different contexts - a professor in machine learning having deep theoretical knowledge might lack the practical skill for implementing a large-scale recommendation system unlike experienced ML practitioners. We present our proposed framework to infer a member's expertise in a certain skill based upon a multi-view, multi-task learning scheme that incorporates signals from multiple contexts. We show the efficacy of the proposed framework with offline evaluation results as well as online A/B testing in multiple products, from finding experts among friends, to recommending jobs to qualified members. We also show that our estimated proficiency can help alleviate the cold-start problem when applied to a new context (i.e., through transfer learning) where only a small amount of labeled data is needed to achieve reasonable performance. Finally, we share the insights that demonstrate the talent market is shocked disproportionately among members with different skill proficiency levels by COVID-19. © 2021 ACM.

17.
International Journal of Mental Health Promotion ; 23(4):499-511, 2021.
Article in English | Web of Science | ID: covidwho-1513466

ABSTRACT

This study examined the moderating effects of parent-child, same-sex, opposite-sex and teacher-student relationships between sibling status and loneliness during COVID-19. A total of 1,591 adolescents in China completed the study questionnaires which assessed the aforementioned variables. The results showed that same-sex and teacher-student relationships moderated the association between sibling status and loneliness. The results indicated that among participants with good same-sex relationships during COVID-19, compared to non-only-children participants, the only-children participants were more likely to experience a lower level of loneliness. However, participants with poor same-sex relationships experienced similar level of loneliness regardless of whether they had siblings. These findings would be helpful for parents, teachers, and other stakeholders to take effective measures to reduce loneliness feelings among Chinese adolescents.

18.
Transportation Research Part D: Transport and Environment ; 101, 2021.
Article in English | Scopus | ID: covidwho-1510368

ABSTRACT

To address the policy question of how e-scooters interact with existing public mobility options, we conduct a spatiotemporal analysis of e-scooters’ relationships with public transit and station-based bikeshare in Washington DC. Results suggest that e-scooters have both competing and complementary effects on transit and bikeshare. The service areas of the three modes largely overlap, and most e-scooter trips could have been made by transit or bikeshare. A travel-time-based analysis further reveals that when choosing e-scooters over transit, travelers pay a price premium but save some travel time. The price premium was greater during COVID-19 but the associated travel-time savings were smaller. This implies that public health considerations rather than time-cost tradeoffs were the main determinant of travel behavior during COVID-19. In addition, we find that e-scooters enhance mobility services for some underserved neighborhoods. Before COVID-19, about 10% of all e-scooter trips were taken to connect with the Metrorail system. © 2021 Elsevier Ltd

19.
Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology ; 21(5):190-197, 2021.
Article in Chinese | Scopus | ID: covidwho-1502908

ABSTRACT

To investigate the impact of COVID-19 traffic control policies on population flow in Changsha, this paper divided the prevention and traffic control policies into different stages corresponding to the real-time epidemic situation in Changsha. Based on Baidu migration big data, the difference- in- difference model was used to identify different stages of traffic prevention and control policies and quantify the effect of prevention. With the traffic control policy implemented during COVID-19, the average inflow intensity of Changsha City decreased by 83.68%, the average outflow intensity decreased by 69.24% and the internal travel intensity respectively, decreased by 59.74%. After the end of the traffic control policies, the population flow intensity of Changsha City gradually rebounded, and the urban internal travel intensity basically recovered to the same level as in 2019. The results indicated the effectiveness of the traffic control policies on the limitation of population flow and epidemic spread. The results also provide reference for making effective prevention and control policies for the normalized COVID-19 epidemic situations. Copyright © 2021 by Science Press.

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