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2.
BMJ Open ; 12(9):e055945, 2022.
Article in English | PubMed | ID: covidwho-2029501

ABSTRACT

OBJECTIVES: To explore the main factors affecting the knowledge, attitude and practice about influenza and influenza vaccine as well as the intention to receive influenza vaccination among the same group of medical students before (2019) and after (2021) the COVID-19 outbreak. DESIGN: A population-based prospective cohort study. SETTING: A longitudinal cohort study of a selected medical school in Chongqing, China, which ran from 2019 to 2021. PARTICIPANTS: A total of 803 medical students participated in the study in 2019 and only 484 students responded in 2021. The response rate for our survey was only 60.27% due to graduation, emails being abandoned, etc. RESULTS: The influenza vaccination rate of students at this medical school was 6.7% in 2019, compared with 25.8% in 2021. The awareness rate of medical students about influenza and influenza vaccine was 82.8% in 2019 and 86% in 2021, and there was no significantly statistical difference between the 2 years (p=0.134);the number of medical students with supportive attitude towards influenza vaccine was 95.1% in 2019 and 97.1% in 2021, and there was no statistically significant difference between the 2 years (p=0.078);the number of students who actively learnt about knowledge related to influenza vaccine rose from 183 (22.8%) in 2019 to 195 (40.3%) in 2021. CONCLUSIONS: The COVID-19 outbreak prompted an increase in influenza vaccination rates among medical students in Chongqing, with almost all students (96.0%) believing that the spread of COVID-19 promoted their knowledge about influenza and influenza vaccine, and the vast majority (74.8%) believing that the spread of COVID-19 promoted their willingness to receive influenza vaccine.

5.
Comput Biol Med ; 149:106065, 2022.
Article in English | PMC | ID: covidwho-2007625

ABSTRACT

Aiming at detecting COVID-19 effectively, a multiscale class residual attention (MCRA) network is proposed via chest X-ray (CXR) image classification. First, to overcome the data shortage and improve the robustness of our network, a pixel-level image mixing of local regions was introduced to achieve data augmentation and reduce noise. Secondly, multi-scale fusion strategy was adopted to extract global contextual information at different scales and enhance semantic representation. Last but not least, class residual attention was employed to generate spatial attention for each class, which can avoid inter-class interference and enhance related features to further improve the COVID-19 detection. Experimental results show that our network achieves superior diagnostic performance on COVIDx dataset, and its accuracy, PPV, sensitivity, specificity and F1-score are 97.71%, 96.76%, 96.56%, 98.96% and 96.64%, respectively;moreover, the heat maps can endow our deep model with somewhat interpretability.

6.
Mathematical Biosciences and Engineering ; 19(11):11380-11398, 2022.
Article in English | Web of Science | ID: covidwho-2006288

ABSTRACT

A significant distinction between the COVID-19 pandemic and previous pandemics is the significant role of social media platforms in shaping public adherence to non-pharmaceutical interventions and vaccine acceptance. However, with the recurrence of the epidemic, the conflict between epidemic prevention and production recovery has become increasingly prominent on social media. To help design effective communication strategies to guide public opinion, we propose a susceptible-forwarding-immune pseudo-environment (SFI-PE) dynamic model for understanding the environment with direct and indirect propagation behaviors. Then, we introduce a system with external interventions for direct and indirect propagation behaviors, termed the macro-controlled SFI-PE (M-SFI-PE) model. Based on the numerical analyses that were performed using actual data from the Chinese Sina microblogging platform, the data fitting results prove our models' effectiveness. The research grasps the law of the new information propagation paradigm, and our work bridges the gap between reality and theory in information interventions.

7.
Aip Advances ; 12(8), 2022.
Article in English | Web of Science | ID: covidwho-2004829

ABSTRACT

The COVID-19 pandemic imposes a severe challenge to the health care providers and patients in dental clinics as the dental procedures produce abundant airborne materials. Although dental practices use a multi-layered protective procedure to reduce the potential danger from dental aerosols, it is still beneficial to suppress the aerosol generation from the origin as much as possible. Reducing the aerosol generation (especially the droplets of smaller diameters) from the very beginning will ease the burden on all subsequent layers of protection. In this work, we first provide a relatively complete picture of the structure of the spray produced by the air turbine handpiece. We found that the spray consists of two domains: one is the canopy shaped centrifugal zone and the other is a dense ballistic spray core. The droplets from the centrifugal zone are much smaller than those of the spray core and, hence, are more prone to stay in the air. The location of the centrifugal zone also makes it more challenging to be contained by the mouth or rubber dam. To suppress the atomization of the centrifugal zone, we used the food-additive carboxymethylcellulose sodium (CMC-Na) water solutions of different concentrations. The data show that the viscoelastic property of the 0.5 wt. % CMC-Na water solution can effectively suppress the aerosol generation of the centrifugal zone. (C) 2022 Author(s).

8.
Journal of Clinical Gastroenterology ; 19:19, 2022.
Article in English | MEDLINE | ID: covidwho-2001486
10.
JOURNAL OF GLOBAL INFORMATION MANAGEMENT ; 30(10), 2022.
Article in English | Web of Science | ID: covidwho-1939128

ABSTRACT

In view of epidemic prevention costs and social benefits, an evolutionary game model of epidemic prevention and control strategies between government departments and local people was constructed based on evolutionary game theory to explore the influence of strategic behaviors between government departments and local people, and MATLAB was used to conduct systematic simulation of the game model. Studies have shown that local people will cooperate with government departments when they implement surveillance strategies. Reducing the cost of emergency epidemic prevention and improving the social benefits of epidemic prevention are conducive to the development of government departments towards the direction of supervision strategy, and local people towards the direction of active epidemic prevention strategy, so as to achieve effective epidemic prevention and control.

11.
7th International Conference on Cloud Computing and Big Data Analytics, ICCCBDA 2022 ; : 342-347, 2022.
Article in English | Scopus | ID: covidwho-1909211

ABSTRACT

After the outbreak of the COVID-19 pandemic, social media platforms offer an essential channel for the public to obtain and discuss the latest development of the epidemic situation and vaccine research. On the Chinese Sina Microblog, which is one of the most popular social platforms in China, two unique interaction mechanisms promote the change of the intensity and breadth of online information propagation, namely 'commenting' and 'forwarding'. Based on that, we propose a Susceptible-Commenting-Forwarding-Immune (SCFI) dynamic model and use the actual public opinion event on the Chinese Sina Microblog to adopt a data-model dual-drive research approach. We focus on the differences between the influence of 'commenting community' and 'forwarding community' on the promotion of information propagation, which is conducive to grasping the law of public opinion propagation. Our experimental results show that the multiple interactive mechanisms can particularly affect public opinion propagation. Our conclusions can contribute to designing effective communication strategies for governments and related agencies to guide public opinion in response to public health emergencies. © 2022 IEEE.

12.
Cehui Xuebao/Acta Geodaetica et Cartographica Sinica ; 51(3):401-412, 2022.
Article in Chinese | Scopus | ID: covidwho-1811332

ABSTRACT

On-orbit geometric calibration without field site is a key problem for future multi-beam laser altimetry satellites. In view of the linear system full waveform laser altimeter loaded on the GF-7 satellite, a non-field step by step calibration method based on terrain and waveform matching is proposed. Based on the analysis of the characteristics of the GF-7 satellite laser altimeter, a rigorous geometric positioning model is constructed. The field-free on orbit geometric calibration test is carried out by using the open topographic reference data and the basic geographic information of DOM and LiDAR DSM in a certain area, which has greatly improved the accuracy of the laser altimetry data. With this method, during the first half of 2020, the calibration parameter configuration and data processing of GF-7 satellite laser altimeter was not affected, even the field calibration can't be implemented due to the negative impact of the COVID-19. The accuracy is compared with the field calibration results after the COVID-19, and the results show that the plane error of the non-field calibration is 11.597±3.693 m and the minimum value is 7.115 m. The elevation accuracy of flat area is better than 0.3 m, although it is slightly lower than the results of field calibration, it can basically meet the requirements of 1: 10 000 elevation control points. © 2022, Surveying and Mapping Press. All right reserved.

13.
Chin. Lang. Discourse ; 13(1):143-165, 2022.
Article in English | Web of Science | ID: covidwho-1795598

ABSTRACT

This paper investigates intellectual discourse in China during the COVID-19 coronavirus crisis through two discourse analyses, aiming to see the role of intellectuals in leading public discussion and perception on government decisions in times of crisis. Digital ethnography and digital discourse analysis are implemented to do a micro and in-depth analysis of texts and the media engagement of the Chinese intellectuals. In the context in which the presence and reception of public intellectuals in China has been transformed from pro-West gongzhi () to intellectuals in the system (), this study reviews the moral values and norms that promoted governmental policies and social coherence embedded in a new intellectual discourse. It contributes to the analysis of the dynamics and flexibility of China's public communication in times of crisis within the social context in which online activities and offline realities are closely bonded in modern China.

14.
Public Health ; 203: 65-74, 2022 Feb.
Article in English | MEDLINE | ID: covidwho-1629795

ABSTRACT

OBJECTIVES: This study aimed to evaluate the socio-economic burden imposed on the Chinese healthcare system during the coronavirus disease 2019 (COVID-19) pandemic. STUDY DESIGN: A cross-sectional study was used to investigate how COVID-19 impacted health and medical costs in China. Data were derived from a subdivision of the Centers for Disease control and Prevention of China. METHODS: We prospectively collected information from the Centers for Disease Control and Prevention and the designated hospitals to determine the cost of public health care and hospitalisation due to COVID-19. We estimated the resource use and direct medical costs associated with public health. RESULTS: The average costs, per case, for specimen collection and nucleic acid testing (NAT [specifically, polymerase chain reaction {PCR}]) in low-risk populations were $29.49 and $53.44, respectively; however, the average cost of NAT in high-risk populations was $297.94 per capita. The average costs per 1000 population for epidemiological surveys, disinfectant, health education and centralised isolation were $49.54, $247.01, $90.22 and $543.72, respectively. A single hospitalisation for COVID-19 in China cost a median of $2158.06 ($1961.13-$2325.65) in direct medical costs incurred only during hospitalisation, whereas the total costs associated with hospitalisation of patients with COVID-19 were estimated to have reached nearly $373.20 million in China as of 20, May, 2020. The cost of public health care associated with COVID-19 as of 20, May, 2020 ($6.83 billion) was 18.31 times that of hospitalisation. CONCLUSIONS: This study highlights the magnitude of resources needed to treat patients with COVID-19 and control the COVID-19 pandemic. Public health measures implemented by the Chinese government have been valuable in reducing the infection rate and may be cost-effective ways to control emerging infectious diseases.


Subject(s)
COVID-19 , China/epidemiology , Cost of Illness , Cross-Sectional Studies , Financial Stress , Health Care Costs , Hospitalization , Humans , Pandemics , Public Health , SARS-CoV-2
15.
Materials Today Physics ; 22:12, 2022.
Article in English | Web of Science | ID: covidwho-1586955

ABSTRACT

Baicalin, a flavonoid compound extracted from the rhizome of Scutellar iae Baicalensis, plays a vital role in improving liver function after injury, reducing liver disease and treating primary liver cancer, which is also the first SARS-CoV-2 3CLpro virus inhibitor according to the latest research data published in Bio-Rxiv. Therefore, constructing a simple and highly sensitive analytical method for the determination of baicalin is of great significance for the clinical and pharmacy settings. Herein, for the first time, carbon dots are explored for baicalin detection. Using biomass waste grape peels as the organic carbon source, nitrogen-doped fluorescent carbon dots (PT-NCDs) were fabricated, which were synthesized perfectly by a simple, environmentally friendly and one-step solid-phase thermal method without adding any other organic or acid/base reagents. Based on the synergistic effect of photo-induced electron transfer and dynamic quenching, a quenched fluorescence sensor for the determination of baicalin with a good linear range of 0.1-20 mu M and a satisfactory detection limit of 43.8 nM was constructed, which successfully quantified trace amount of baicalin in baicalin capsules, human serum and urine samples. The results indicate that PT-CDs are expected to become potential sensing materials for the real-time monitoring of baicalin in organisms, which is very important for our health. (C) 2021 Elsevier Ltd. All rights reserved.

16.
Iet Communications ; : 13, 2021.
Article in English | Web of Science | ID: covidwho-1537348

ABSTRACT

With the 5G worldwide deployment, the scale of vertical applications is innovated benefit from 5G technologies including MEC (Multi-access Edge Computing), network slicing, etc. Especially for healthcare, 5G had been used for COVID-19 protection and intelligent medical processing. However, limited by the hospital's traditional information infrastructures, those 5G-based healthcare applications are hard to be deployed and most only for demonstration, also isolated from the existing medical systems. So what is the next generation of smart healthcare information infrastructures is the key issue for the long-term development of 5G healthcare applications. Even though the standardized 5G MEC framework has been widely used in many vertical scenarios, it is also hard to satisfy hospital-specific requirements such as hospital-dedicated deployment, medical data security, and various network connections, etc. This paper proposes a 5G-based architecture for smart healthcare information infrastructure, a new network element iGW (industry gateway) is defined, and the smart healthcare dedicated cloud platform iMEP (industry multi-access edge platform) is also introduced here, making it possible to satisfy both the hospital-specific requirements and the long-term evolution. Meanwhile, the implementation methodology and the corresponding field test results are presented, which show the significant network performance gain achieved by the proposed new system structure.

17.
16th IEEE International Conference on Computer Science and Education, ICCSE 2021 ; : 117-120, 2021.
Article in English | Scopus | ID: covidwho-1522579

ABSTRACT

The development trend of public opinion on the Internet plays a very important role in social stability. During the outbreak of the Corona Virus Disease 2019(COVID-19), all kinds of information flooded the cyberspace, increasing social instability. Timely understanding of online public opinion is therefore of great use to the government in easing social tensions. In this paper, we try to analyze the characteristics of hot topics on the Internet and give some advices for the government to effectively guide public opinion. The comment texts of the crisis events reported by mainstream Chinese media People's Daily during the novel coronavirus pneumonia were selected on Microblog first, a total of 40, 241 comments. The collected comment texts were subjected to word frequencies statistics, and then the LDA topic model was used to find out hot topics in the comments by the public, which were divided into six topics. The characteristics of six different hot topics are analyzed at last. © 2021 IEEE.

18.
Mater Today Bio ; 12: 100145, 2021 Sep.
Article in English | MEDLINE | ID: covidwho-1492443

ABSTRACT

Currently, Coronavirus Disease 2019 (COVID-19)-a respiratory contagion spreading through expiratory droplets-has evolved into a global pandemic, severely impacting the public health. Importantly, the emerging of immune evasion SARS-CoV-2 variants and the limited effect of current antivirals against SARS-CoV-2 in clinical trials suggested that alternative strategies in addition to the conventional vaccines and antivirals are required to successfully control the COVID-19 pandemic. Here, we propose to use liquid-repellent coatings to prevent the spread of the disease in the absence of effective vaccines, antimicrobial agents, or therapeutics, wherein the deposition and penetration of pathogen droplets are prohibited. We use SARS-CoV-2 as a model pathogen and find that SARS-CoV-2 remnants are reduced by seven orders of magnitude on coated surfaces, yielding a repelling efficacy far outperforming the inactivation rate of disinfectants. The SARS-CoV-2 remnant scales exponentially with the liquid/solid adhesion, uncovering the mechanism and effective means for minimizing pathogen attachment. The antipathogen coating that both repels and inactivates pathogens is demonstrated by incorporating the super-liquid-repellent coating with antipathogen additives. Together with its versatility over a wide range of substrates and pathogens, the novel antipathogen coating is of considerable value for infection control in everyday life as well as during pandemics.

19.
Journal of Thoracic Oncology ; 16(10):S1022-S1023, 2021.
Article in English | EMBASE | ID: covidwho-1474809

ABSTRACT

Introduction: Background: Our phase single-arm phase 2 study previously showed favorable efficacy of sintilimab plus docetaxel as second line therapy for advanced Chinese NSCLC patients. Here we presented the updated survival and safety data. Methods: Eligible patients were standard platinum doublet failure advanced NSCLC patients, who had not received any ICIs before. EGFR/ALK positive patients must be TKIs failure or intolerable. Participants would receive docetaxel (75mg/m2, day 1) plus sintilimab (200mg, day 3) every 3 weeks for 4-6 cycles followed by sintilimab maintenance until disease progression, unacceptable toxicity, or up to 2 years. The primary end point is progression-free survival (PFS) per RECIST v1.1. Secondary end points included overall response rate (ORR), duration of response (DOR), overall survival (OS), and safety. Results: From 10/2019 to 11/2020, 40 patients were enrolled. Most were male (77.5%) and adenocarcinoma (87.5%). 25% (10/40) patients and 12.5% (5/40) had brain and liver metastasis at baseline, separately. Median follow-up was 9.0 months (range 1.6-16.2) as of data cut-off (2/19/2021). 13 patients temporarily suspended study treatment due to COVID-19, while 11 patients resumed treatment after documented progression-free. Among all, 9 patients were still on study treatment until data cut-off. Median PFS was 5.78 months (95%CI 4.3-8.28), and PFS rates at 6 months and 12 months were 47% and 23%. Median OS was 12.45 months (95%CI 5.82-12.62). 12 months OS rates was 64%. Of the 37 evaluable patients, ORR is 32.43% (95%CI 18.01%, 49.79%), DCR is 89.19% (95%CI 74.58%, 96.97%). Median DOR was 6.46 months (95% 1.28, NA). Median TTR (Time to Response) was 3.89 months (95% 1.61, 4.99). Efficacy of key subgroups are presented in Table 1. [Formula presented] Median treatment duration was 4.4 months (range 0.1-13.9). Overall, 72.5% (29/40) patients had experienced treatment-related adverse events (TRAEs), including 15% (6/40) grade ≥3 TRAEs. No AEs led to treatment discontinuation or death. The most common TRAEs were leukopenia (32.5%), neutropenia (17.5%), alopecia (12.5%), lymphopenia (7.5%), fatigue (7.5%) and diarrhea (7.5%). 27.5% (11/40) patients experienced potential immune related AEs (irAEs), including 1 grade 3 gamma-glutamyltransferase increase, 1 grade 2 hypothyroidism and 3 grade 2 pneumonitis. Conclusion: This is the first study of a PD-1 inhibitor plus chemotherapy in advanced Chinese NSCLC patients who had failed first-line standard therapy. The encouraging efficacy and tolerable safety profile suggest a potential role of this combination in second-line setting. Clinical trial information: ChiCTR1900027634. Keywords: non-small cell lung cancer, combination chemoimmunotherapy, second line

20.
Zhonghua Yu Fang Yi Xue Za Zhi ; 55(9): 1149-1152, 2021 Sep 06.
Article in Chinese | MEDLINE | ID: covidwho-1463876

ABSTRACT

To investigate whether the laboratory specimens preserved in Beijing Hospital Biobank during a specific period had been contaminated by SARS-Cov-2 through a cross-sectional study, and to establish a retrospective biobank safety screening system. Laboratory specimens were collected from the Department of Respiratory and Critical Care Medicine and the Fever Clinic of Beijing Hospital from November 1, 2019 to January 22, 2020, nucleic acid and serological antibody testing were performed for SARS-CoV-2 in these specimens (including 79 serum, 20 urine, 42 feces and 21 bronchoalveolar lavage fluid specimens). The safety of the stored samples during this period was defined by negative and positive results. Both the nucleic acid test and serological antibody test showed negative for SARS-CoV-2, indicating that these specimens were safely stored in the biobank. High-risk specimens collected in our hospital during the early stage of the COVID-19 outbreak are free of SARS-CoV-2, and a safety screening strategy for the clinical biobank is established to ensure the biosafety of these samples.


Subject(s)
Biological Specimen Banks , COVID-19 , Cross-Sectional Studies , Hospitals , Humans , Retrospective Studies , SARS-CoV-2
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