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2.
Journal of Cancer Research & Therapeutics ; 18(7):1835-1844, 2022.
Article in English | MEDLINE | ID: covidwho-2201875

ABSTRACT

The human gut microbiota represents a complex ecosystem that is composed of bacteria, fungi, viruses, and archaea. It affects many physiological functions including metabolism, inflammation, and the immune response. The gut microbiota also plays a role in preventing infection. Chemotherapy disrupts an organism's microbiome, increasing the risk of microbial invasive infection;therefore, restoring the gut microbiota composition is one potential strategy to reduce this risk. The gut microbiome can develop colonization resistance, in which pathogenic bacteria and other competing microorganisms are destroyed through attacks on bacterial cell walls by bacteriocins, antimicrobial peptides, and other proteins produced by symbiotic bacteria. There is also a direct way. For example, Escherichia coli colonized in the human body competes with pathogenic Escherichia coli 0157 for proline, which shows that symbiotic bacteria compete with pathogens for resources and niches, thus improving the host's ability to resist pathogenic bacteria. Increased attention has been given to the impact of microecological changes in the digestive tract on tumor treatment. After 2019, the global pandemic of novel coronavirus disease 2019 (COVID-19), the development of novel tumor-targeting drugs, immune checkpoint inhibitors, and the increased prevalence of antimicrobial resistance have posed serious challenges and threats to public health. Currently, it is becoming increasingly important to manage the adverse effects and complications after chemotherapy. Gastrointestinal reactions are a common clinical presentation in patients with solid and hematologic tumors after chemotherapy, which increases the treatment risks of patients and affects treatment efficacy and prognosis. Gastrointestinal symptoms after chemotherapy range from nausea, vomiting, and anorexia to severe oral and intestinal mucositis, abdominal pain, diarrhea, and constipation, which are often closely associated with the dose and toxicity of chemotherapeutic drugs. It is particularly important to profile the gastrointestinal microecological flora and monitor the impact of antibiotics in older patients, low immune function, neutropenia, and bone marrow suppression, especially in complex clinical situations involving special pathogenic microbial infections (such as clostridioides difficile, multidrug-resistant Escherichia coli, carbapenem-resistant bacteria, and norovirus).

3.
Taiwan Journal of Ophthalmology ; 12(4):465-471, 2022.
Article in English | Web of Science | ID: covidwho-2201620

ABSTRACT

As a continuing demand for booster shots against SARS-CoV-2, ocular adverse events following the coronavirus disease-2019 (COVID-19) vaccines can cause significant visual impairment, and they warrant a high awareness and detailed documentation of possible ocular inflammatory manifestations. We present a case series of 11 patients presenting with ocular manifestations relevant to vaccine-associated autoimmune response within 6 weeks after the vaccination of the Oxford-AstraZeneca, the Moderna, and Pfizer-BioNTech vaccines at the main tertiary referral center in the most populated and most vaccinated city in Taiwan. Their diagnosis included five acute anterior uveitis, two multiple evanescent white dot syndrome, one probable Vogt-Koyanagi-Harada disease, one anterior scleritis, one relapsed idiopathic panuveitis, and one autoantibody-related central retinal artery occlusion. This report presented a broad spectrum of the ocular inflammatory events following the vaccination of COVID-19. Early recognition of the clinical manifestations mentioned herein with prompt management is crucial in recovering the patients' vision.

4.
Front Public Health ; 10, 2022.
Article in English | PubMed Central | ID: covidwho-2199450

ABSTRACT

Aims: The transport of patients suspected of having COVID-19 requires careful consideration. Using paths selected at random and not accounting for person flow along the path are risk factors for infection spread. Intrahospital transportation (IHT) protocols and guidelines should be used to help reduce the risk of secondary virus transmission during transport. This study aimed to propose optimal IHT for patients with an infectious disease presenting in an out-patient area. Design: The map of a West China Hospital was used. We also used field investigation findings and simulated person flow to establish pathway length and transportation time. We identified three optimum pathways and estimated safety boundary marks, including a patient transportation border (PTB) and safety transportation border (STB). Finally, IHT, PTB, and STP formed a virtual transport pipeline (VTP) and a traceable IHT management system, which can generate a virtual isolation space. Results: The three pathways met efficiency, accessibility, and by-stander flow criteria. No facility characteristic modification was required. Conclusions: Using virtual models to identify pathways through out-patient hospital areas may help reduce the risk of infection spread.

5.
Frontiers in Physics ; 10, 2022.
Article in English | Web of Science | ID: covidwho-2199124

ABSTRACT

Introduction: Differential equations governed compartmental models are known for their ability to simulate epidemiological dynamics and provide highly accurate descriptive and predictive results. However, identifying the corresponding parameters of flow from one compartment to another in these models remains a challenging task. These parameters change over time due to the effect of interventions, virus variation and so on, thus time-varying compartmental models are required to reflect the dynamics of the epidemic and provide plausible results.Methods: In this paper, we propose an Euler iteration augmented physics-informed neural networks(called Euler-PINNs) to optimally integrates real-world reported data, epidemic laws and deep neural networks to capture the dynamics of COVID-19. The proposed Euler-PINNs method integrates the differential equations into deep neural networks by discretizing the compartmental model with suitable time-step and expressing the desired parameters as neural networks. We then define a robust and concise loss of the predicted data and the observed data for the epidemic in question and try to minimize it. In addition, a novel activation function based on Fourier theory is introduced for the Euler-PINNs method, which can deal with the inherently stochastic and noisy real-world data, leading to enhanced model performance.Results and Discussion: Furthermore, we verify the effectiveness of the Euler-PINNs method on 2020 COVID-19-related data in Minnesota, the United States, both qualitative and quantitative analyses of the simulation results demonstrate its accuracy and efficiency. Finally, we also perform predictions based on data from the early stages of the outbreak, and the experimental results demonstrate that the Euler-PINNs method remains robust on small dataset.

6.
Front Genet ; 13, 2022.
Article in English | PubMed Central | ID: covidwho-2198790

ABSTRACT

The coronavirus disease 2019 (COVID-19) pandemic, caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has led to more than 6.4 million deaths worldwide. The prevalent comorbidity between hypertension and severe COVID-19 suggests common genetic factors may affect the outcome of both diseases. As both hypertension and severe COVID-19 demonstrate sex-biased prevalence, common genetic factors between the two diseases may display sex-biased differential associations. By evaluating COVID-19 association signals of 172-candidate hypertension single nucleotide polymorphisms (SNPs) derived from more than 1 million European individuals in two sex-stratified severe COVID-19 genome-wide association studies from UK BioBank with European ancestry, we revealed one functional cis expression quantitative trait locus of SPEG (rs12474050) showing sex-biased association with severe COVID-19 in women. The risk allele rs12474050*T associates with higher blood pressure. In our study, we found it is significantly correlated with lower SPEG expression in muscle-skeletal but with higher expression in both brain cerebellum and cerebellar hemisphere. Additionally, nominal significances were detected for the association between rs12474050*T and lower SPEG expression in both heart left ventricle and atrial appendage;among these tissues, the SPEG expression is nominally significantly higher in females than in males. Further analysis revealed SPEG is mainly expressed in cardiomyocytes in heart and is upregulated upon SARS-CoV-2 infection, with significantly higher upregulation of SPEG only observed in female but not in male COVID-19 patients compared to both normal female and male individuals, suggesting upregulation of SPEG is a female-specific protective mechanism against COVID-19 induced heart damage. Taken together, our analyses suggest the involvement of SPEG in both hypertension and severe COVID-19 in women, which provides new insights for sex-biased effect of severe COVID-19 in women.

7.
2022 International Conference on Biomedical and Intelligent Systems, IC-BIS 2022 ; 12458, 2022.
Article in English | Scopus | ID: covidwho-2193338

ABSTRACT

The COVID-19 virus is a rapidly spreading epidemic that threatens the world. Since its discovery, there have been fewer studies on the combination of COVID-19 and diabetes, and the complications of COVID-19 are closely related to diabetes. The findings showed that diabetes, high blood pressure, and cholesterol levels were significantly associated with the severity of COVID-19, i.e. people with diabetes were more likely to contract COVID-19, especially those with severe acute respiratory distress. This comorbidity has been studied to be associated with compromised innate immunity and excessive proinflammatory cytokine responses involving IL-6 and TNF-α in uncontrolled diabetes mellitus (DM). The condition worsens if there are other comorbidities, such as high blood pressure, chronic kidney disease, or coronary artery disease. These comorbidities often coexist with diabetes and are associated with more aggressive COVID-19 infections. This is because the most common complications of the new coronavirus are renal tubular necrosis and pancreatic islet B cell damage, so the treatment and prognosis of diabetes can also cause adverse reactions and worsen the condition of diabetic patients to a certain extent. A search of relevant literature and studies shows that, when treating patients with the disease, medical staff should implement early and aggressive management of diabetes to prevent adverse outcomes. In conclusion, the novel coronavirus worsens diabetes, and elevated blood sugar worsens pneumonia. Therefore, the control of diabetes and its complications should be prioritized for patients with pneumonia complicated by novel coronavirus infection, and then the disease caused by COVID-19 should be controlled and treated. © 2022 SPIE. All rights reserved.

8.
Brief Bioinform ; 2023.
Article in English | PubMed | ID: covidwho-2188256

ABSTRACT

The proliferation of single-cell multimodal sequencing technologies has enabled us to understand cellular heterogeneity with multiple views, providing novel and actionable biological insights into the disease-driving mechanisms. Here, we propose a comprehensive end-to-end single-cell multimodal analysis framework named Deep Parametric Inference (DPI). DPI transforms single-cell multimodal data into a multimodal parameter space by inferring individual modal parameters. Analysis of cord blood mononuclear cells (CBMC) reveals that the multimodal parameter space can characterize the heterogeneity of cells more comprehensively than individual modalities. Furthermore, comparisons with the state-of-the-art methods on multiple datasets show that DPI has superior performance. Additionally, DPI can reference and query cell types without batch effects. As a result, DPI can successfully analyze the progression of COVID-19 disease in peripheral blood mononuclear cells (PBMC). Notably, we further propose a cell state vector field and analyze the transformation pattern of bone marrow cells (BMC) states. In conclusion, DPI is a powerful single-cell multimodal analysis framework that can provide new biological insights into biomedical researchers. The python packages, datasets and user-friendly manuals of DPI are freely available at https://github.com/studentiz/dpi.

9.
Statistical Theory and Related Fields ; 2022.
Article in English | Web of Science | ID: covidwho-2187945

ABSTRACT

The outbreak of COVID-19 on the Diamond Princess cruise ship has attracted much attention. Motivated by the PCR testing data on the Diamond Princess, we propose a novel cure mixture nonparametric model to investigate the detection pattern. It combines a logistic regression for the probability of susceptible subjects with a nonparametric distribution for the detection of infected individuals. Maximum likelihood estimators are proposed. The resulting estimators are shown to be consistent and asymptotically normal. Simulation studies demonstrate that the proposed approach is appropriate for practical use. Finally, we apply the proposed method to PCR testing data on the Diamond Princess to show its practical utility.

10.
Proceedings of the National Academy of Sciences of the United States of America ; 120(4):e2202820120, 2023.
Article in English | MEDLINE | ID: covidwho-2186688

ABSTRACT

Human coronavirus 229E (HCoV-229E) and NL63 (HCoV-NL63) are endemic causes of upper respiratory infections such as the "common cold" but may occasionally cause severe lower respiratory tract disease in the elderly and immunocompromised patients. There are no approved antiviral drugs or vaccines for these common cold coronaviruses (CCCoV). The recent emergence of COVID-19 and the possible cross-reactive antibody and T cell responses between these CCCoV and SARS-CoV-2 emphasize the need to develop experimental animal models for CCCoV. Mice are an ideal experimental animal model for such studies, but are resistant to HCoV-229E and HCoV-NL63 infections. Here, we generated 229E and NL63 mouse models by exogenous delivery of their receptors, human hAPN and hACE2 using replication-deficient adenoviruses (Ad5-hAPN and Ad5-hACE2), respectively. Ad5-hAPN- and Ad5-hACE2-sensitized IFNAR-/- and STAT1-/- mice developed pneumonia characterized by inflammatory cell infiltration with virus clearance occurring 7 d post infection. Ad5-hAPN- and Ad5-hACE2-sensitized mice generated virus-specific T cells and neutralizing antibodies after 229E or NL63 infection, respectively. Remdesivir and a vaccine candidate targeting spike protein of 229E and NL63 accelerated viral clearance of virus in these mice. 229E- and NL63-infected mice were partially protected from SARS-CoV-2 infection, likely mediated by cross-reactive T cell responses. Ad5-hAPN- and Ad5-hACE2-transduced mice are useful for studying pathogenesis and immune responses induced by HCoV-229E and HCoV-NL63 infections and for validation of broadly protective vaccines, antibodies, and therapeutics against human respiratory coronaviruses including SARS-CoV-2.

11.
Chemical Society Reviews ; 52(1):361-382, 2023.
Article in English | Web of Science | ID: covidwho-2186142

ABSTRACT

Rapid and accurate molecular diagnosis is a prerequisite for precision medicine, food safety, and environmental monitoring. The clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated (Cas)-based detection, as a cutting-edged technique, has become an immensely effective tool for molecular diagnosis because of its outstanding advantages including attomolar level sensitivity, sequence-targeted single-base specificity, and rapid turnover time. However, the CRISPR/Cas-based detection methods typically require a pre-amplification step to elevate the concentration of the analyte, which may produce non-specific amplicons, prolong the detection time, and raise the risk of carryover contamination. Hence, various strategies for target amplification-free CRISPR/Cas-based detection have been developed, aiming to minimize the sensitivity loss due to lack of pre-amplification, enable detection for non-nucleic acid targets, and facilitate integration in portable devices. In this review, the current status and challenges of target amplification-free CRISPR/Cas-based detection are first summarized, followed by highlighting the four main strategies to promote the performance of target amplification-free CRISPR/Cas-based technology. Furthermore, we discuss future perspectives that will contribute to developing more efficient amplification-free CRISPR/Cas detection systems.

12.
Nat Commun ; 14(1):138, 2023.
Article in English | PubMed | ID: covidwho-2185830

ABSTRACT

β-Nucleosides and their analogs are dominant clinically-used antiviral and antitumor drugs. α-Nucleosides, the anomers of β-nucleosides, exist in nature and have significant potential as drugs or drug carriers. Currently, the most widely used methods for synthesizing β- and α-nucleosides are via N-glycosylation and pentose aminooxazoline, respectively. However, the stereoselectivities of both methods highly depend on the assisting group at the C2' position. Herein, we report an additive-controlled stereodivergent iodocyclization method for the selective synthesis of α- or β-nucleosides. The stereoselectivity at the anomeric carbon is controlled by the additive (NaI for β-nucleosides;PPh(3)S for α-nucleosides). A series of β- and α-nucleosides are prepared in high yields (up to 95%) and stereoselectivities (β:α up to 66:1, α:β up to 70:1). Notably, the introduced iodine at the C2' position of the nucleoside is readily functionalized, leading to multiple structurally diverse nucleoside analogs, including stavudine, an FDA-approved anti-HIV agent, and molnupiravir, an FDA-approved anti-SARS-CoV-2 agent.

13.
Sensors and Actuators B-Chemical ; 377, 2023.
Article in English | Web of Science | ID: covidwho-2183390

ABSTRACT

Common reference methods for COVID-19 variant diagnosis include viral sequencing and PCR-based methods. However, sequencing is tedious, expensive, and time-consuming, while PCR-based methods have high risk of insensitive detection in variant-prone regions and are susceptible to potential background signal interference in biological samples. Here, we report a loop-mediated interference reduction isothermal nucleic acid amplification (LM-IR-INA) strategy for highly sensitive single-base mutation detection in viral variants. This strategy exploits the advantages of nicking endonuclease-mediated isothermal amplification, luminescent iridium(III) probes, and time-resolved emission spectroscopy (TRES). Using the LM-IR-INA strategy, we established a luminescence platform for diagnosing COVID-19 D796Y single-base substitution detection with a detection limit of 2.01 x 105 copies/mu L in a linear range of 6.01 x 105 to 3.76 x 108 copies/mu L and an excellent specificity with a variant/ wild-type ratio of significantly less than 0.0625%. The developed TRES-based method was also successfully applied to detect D796Y single-base substitution sequence in complicated biological samples, including throat and blood, and was a superior to steady-state technique. LM-IR-INA was also demonstrated for detecting the single-base substitution D614G as well as the multiple-base mutation H69/V70del without mutual interference, indicating that this approach has the potential to be used as a universal viral variant detection strategy.

14.
J Microbiol Immunol Infect ; 2023.
Article in English | PubMed Central | ID: covidwho-2180785

ABSTRACT

Background: COVID-19 and influenza have similar clinical presentations that can range from mild to severe disease. The World Health Organization recommends that countries use existing influenza surveillance to monitor COVID-19 transmission in communities. We aim to describe the surveillance and investigation of COVID-19 at the early stage of the pandemic in Taiwan. Methods: In February 2020, the Taiwan Centers for Disease Control enhanced COVID-19 surveillance through its existing influenza surveillance. We retrospectively tested patients for SARS-CoV-2 who had symptoms of severe complicated influenza but were negative in influenza testing. We conducted an epidemiological investigation and contact tracing for the index patient and secondary cases to prevent virus transmission. Results: We identified the first COVID-19 patient on February 15 through enhanced COVID-19 surveillance. He had no history of traveling abroad and an unclear history of contact with COVID-19 cases. He presented with influenza-like illness on January 27 and was hospitalized from February 3 to 15. We identified 39 close contacts of the index patient, including 11 family members and 28 healthcare workers. In total, four close family contacts of the index patient tested positive for SARS-CoV-2. An additional 84 close contacts of the four secondary cases were identified and traced;none was diagnosed with COVID-19. Conclusions: We recommend enhancing COVID-19 surveillance by testing patients with influenza-like illness. To prevent the spread of COVID-19, we recommend using appropriate personal protective equipment when in close contact with patients who present with influenza-like illness or when caring for patients with pneumonia of unknown etiology.

15.
Clin Drug Investig ; 2022.
Article in English | PubMed | ID: covidwho-2149012

ABSTRACT

The coronavirus disease 2019 (COVID-19) pandemic has swept the whole world and brought about a public health crisis of unprecedented proportions. To combat the rapid transmission and possible deaths due to the disease, researchers and companies around the world are developing all possible strategies. Due to the advantages of safety, specificity, and fewer adverse effects, polypeptide and peptidomimetic drugs are considered promising strategies. This review comprehensively summarizes and discusses the progress in development of peptide drugs for use in the treatment of COVID-19. Based on the latest results in this field, we divided them into clinically approved drugs, clinical trial drugs, and clinically ineffective drugs, and outlined the molecular targets and mechanisms of action one by one to reveal their feasibility as promising therapeutic agents for COVID-19. Notably, monoclonal antibodies have shown beneficial effects in the early stages of infection, while Paxlovid can significantly reduce hospitalization and mortality among non-vaccinated patients. Among clinical experimental drugs, both the interleukin-1 receptor antagonist anakinra and the bradykinin B2 receptor antagonist icatibant are well tolerated and effective in patients with COVID-19, but long-term trials are needed to confirm the durability of efficacy.

16.
25th IEEE International Conference on Intelligent Transportation Systems, ITSC 2022 ; 2022-October:3429-3434, 2022.
Article in English | Scopus | ID: covidwho-2136420

ABSTRACT

People's travel has changed greatly under the impact of COVID-19. However, it is controversial that whether traffic restrictions of COVID-19 have a positive or negative impact on traffic accidents. At present, there are few studies on the variations of traffic accidents under the impact of COVID-19 in China, and quantitative analysis is rare. Therefore, this study explores the traffic accidents characteristics of W city seriously affected COVID-19. Based on wavelet transform, traffic accident prediction model is established using property damage only accidents data to predict accident frequency without the impact of COVID-19. Compared with the actual traffic accidents frequency, this paper quantitatively analyzes the impact of COVID-19 on traffic accident. The results show that traffic accidents show a trend of decline-bottom-recovery;the frequency of accidents after the recovery is more than the previous year's level;compared with other periods in 2020, the proportion of injury accidents increased sharply during the period when traffic restrictions were gradually loose. The result of accident prediction shows that BP neural network has the best prediction effect. After the implementation of traffic restrictions, the frequency of accidents shows three stages: rapid decline, bottom and continuous rise. In the three stages, the frequency of property damage only accidents decreased by 379.06, 654.72 and 288.19 per day on average. © 2022 IEEE.

17.
Applied Mathematical Modelling ; 114:133-146, 2023.
Article in English | Web of Science | ID: covidwho-2121141

ABSTRACT

More than 30 months into the novel coronavirus 2019 (COVID-19) pandemic, effort s to bring this prevalence under control have achieved tentative achievements in China. How-ever, the continuing increase in confirmed cases worldwide and the novel variants imply a severe risk of imported viruses. High-intensity non-pharmaceutical interventions (NPIs) are the mainly used measures of China's early response to COVID-19, which enabled effective control in the first wave of the epidemic. However, their efficiency is relatively low across China at the current stage. Therefore, this study focuses on whether measurable meteoro-logical variables be found through global data to learn more about COVID-19 and explore flexible controls. This study first examines the control measures, such as NPIs and vacci-nation, on COVID-19 transmission across 189 countries, especially in China. Subsequently, we estimate the association between meteorological factors and time-varying reproduction numbers based on the global data by meta-population epidemic model, eliminating the aforementioned anthropogenic factors. According to this study, we find that the basic re-production number of COVID-19 transmission varied wildly among Koppen-Geiger climate classifications, which is of great significance for the flexible adjustment of China's control protocols. We obtain that in southeast China, Koppen-Geiger climate sub-classifications, Cwb, Cfa, and Cfb, are more likely to spread COVID-19. In August, the RSIM of Cwb cli-mate subclassification is about three times that of Dwc in April, which implies that the intensity of control effort s in different sub-regions may differ three times under the same imported risk. However, BSk and BWk, the most widely distributed in northwest China, have smaller basic reproduction numbers than Cfa, distributed in southeast coastal areas. It indicates that northwest China's control intensity could be appropriately weaker than southeast China under the same prevention objectives.(c) 2022 Elsevier Inc. All rights reserved.

18.
Journal of Medical Pest Control ; 38(4):390-393, 2022.
Article in Chinese | Scopus | ID: covidwho-2056264

ABSTRACT

Objective To understand the willingness and factors of children's parents for COVID- 19 inoculation,and to provide the basis for the formulation of COVID- 19 inoculation strategy. Methods Easy sampling was used to conduct questionnaire survey on parents of 215 children from a Grade AAA hospital in Wuhan between December 2020 and January 2021. Results One hundred and fifteen valid questionnaires were collected, and 96.74% of parents had heard of COVID- 19 before this survey. WeChat accounts 43.72%(94/215) and Tiktok accounts 28.37%(61/215) were main sources of COVID- 19 and vaccine- related knowledge. 90.23%(194/215) of the parents of children were willing to be inoculated against COVID- 19, and 9.77%(21/215) of children’s parents weren’ t willing to be inoculated against COVID -19 vaccine, mainly because they believed that the interval between the development and use of the vaccine was short,the necessity of time spending in considering(38.10%, 8/21),concerns about adverse effects and safety(47.62%,10/21). Parents of children with a bachelor's degree(OR=0.034,95% CTJO.002-0.582) and a monthly income of 5 000 to 7 999 Yuan(OR=11.459,95%CI-1.708-76.870) were more likely to inoculate COVID- 19 vaccine. Conclusion Parents of children have high willingness to inoculate COVID- 19 vaccines, while they show concerns about adverse reactions and safety of vaccines. The authorities concerned are recommended to strengthen the publicity of inoculation knowledge of COVID- 19 to thereby ease public doubts and ensure safe and effective promotion of vaccines. © 2022, Editorial Department of Medical Pest Control. All rights reserved.

19.
Chinese Journal of Emergency Medicine ; 31(8):1110-1115, 2022.
Article in Chinese | Scopus | ID: covidwho-2055473

ABSTRACT

Objective To introduce how to quickly set up a doctor team to achieve efficient treatment of batchs COVID-19 patients in Changchun GongTi shelter hospital. Methods A cross-sectional study was conducted to analyze the basic situation of the doctors who supported the Changchun Gongti shelter hospital. The workload is the total number of patients from April 3 to 28, 2022. At the beginning of the task, the first week and the third week of the task, the five point scoring method was used to reflect the doctor's physical and mental state, stress state and rescue achievement. The time phased scheduling and disease grading management were fully implemented after 10 days of operation in the shelter. The doctors' ward round efficiency and self scoring changes before and after the implementation of the plan were compared, and the rescue results were summarized. Results Total of 56 doctors (the Sichuan medical assistance team to Changchun), who undertook the work of Changchun Gongti shelter Hospital, came from 12 professional departments of 14 hospitals. By internal and external linkage-time phased scheduling and information-based patient zoning and grading management, the admission time of batch patients was shortened from (14.64±10.09) min to (6.80±5.10) min per person(P<0.05), the number of patients that each doctor can view per hour ranges from (28.50±12.26) to (68.43±19.95) (P<0.01). A total of 1 293 patients were treated. There were no deaths, no accidents and no mild illness to severe illness in shelter hospital. 35 doctors completed a continuous survey. Before and after the implementation of those measures, the average physical state scores and the psychological state scores of doctors improved (P=0.03), the self-score of stress feeling decreased (P<0.01), and the self-score of professional achievement increased (P<0.01). Conclusions To adapt to the characteristics of emergency treatment for batch COVID-19 patients, the internal and external linkage-time phased scheduling and information-based patient zoning and grading management could help the temporarily convened doctors deal with a large number of patients efficiently, reduce work stress and exposure risk in shelter hospital. © 2022 Chinese Medical Association. All rights reserved.

20.
Journal of Contemporary Chinese Art ; 9(1-2):201-225, 2022.
Article in English | Scopus | ID: covidwho-2054404

ABSTRACT

The mass shooting in Atlanta that killed eight people including six Asian women in March 2021 marked the new peak of the unceasing waves of anti-Asian violence since the outbreak of COVID-19 in the United States. In this context, this article examines how a group of Chinese visual artists in New York perform and remake their Asian identity on social media in response to a surge in hatred towards and violence against Asians in the United States following the outbreak of COVID-19. Based on my analysis of their visual rhetoric and media activism, I identify three approaches that this group of Chinese visual artists use to perform and remake their Asian identity. First, they performed their Asian identity by developing vari-ous visual rhetorics to combat and denounce anti-Asian discourse and hate crime. Second, their Asian identity emerged when they created new visual rhetoric to reimagine what it meant to be Asian in the United States. The new visual rhetoric enriched the understanding of Asian-ness and diversified the experiences of being Asian in the United States by overtly or subtly challenging Asian stereotypes as a product of the western imagination. Lastly, they claimed their Asian identity through seeking racial justice in a larger social context in collaboration with other racial minority groups. © 2022 Intellect Ltd Article.

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