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1.
IEEE Journal on Selected Areas in Communications ; JOUR: 1-1,
Article in English | Scopus | ID: covidwho-2097636

ABSTRACT

Since the outbreak of COVID-19 pandemic in 2020, a dramatic loss of human life has occurred and this trend presents an unprecedented challenge to public health, economic systems and social operations. Hence, it is urgent for us to take some countermeasures to restrain and dispel epidemic diffusion to the uttermost. Data freshness plays an inevitable role in timely infestor determination during this process. However, existing works pay little attention to optimizing this indicator in health monitoring. To make up this research gap, in this paper, we propose a mixed game-based Age of Information (AoI) optimization scheme, where the edge-based wireless technologies and AI-empowered diagnostic bots are adopted. Firstly, we establish the system model for Epidemic Prevention and Control Center (EPCC)-based health state monitoring network, where ultimate biosensing data is transmitted from AI bots via edge servers. Then, upon deriving AoI expression with a closed form, the minimization goal between edge servers and bots is specified. Simultaneously, we reformulate the AoI optimization problem from the mixed game viewpoint (i.e., coalition formation game and ordinary potential game), and then propose two algorithms for cooperative order-based bot deployment and stochastic learning-based channel selection. Finally, compared with the typical baselines, the experiment result shows our scheme can reach the lower AoI value for biosensing data transmission under different parameter settings. IEEE

2.
Pharmacoepidemiology and Drug Safety ; JOUR:196-197, 31.
Article in English | Web of Science | ID: covidwho-2084323
4.
IEEE Electron Device Letters ; : 1-1, 2022.
Article in English | Scopus | ID: covidwho-2078240

ABSTRACT

A stamp-based printing technique was applied to transfer the β-Ga<sub>2</sub>O<sub>3</sub> films grown by pulsed laser deposition (PLD) from Si substrates onto some flexible substrates, such as PET, PEN, and PI. It is demonstrated that the β-Ga<sub>2</sub>O<sub>3</sub>-based flexible solar-blind photodetectors (SBPDs) exhibit brilliant optoelectrical performances with a low dark current of 1.7 pA at 10 V, a I<sub>254nm</sub>/I<sub>dark</sub> ratio of 1.2×103, rise (τ<sub>r1</sub> = 0.079 s and τ<sub>r2</sub> = 0.413 s) and decay (τ<sub>d1</sub> = 0.029 s and τ<sub>d2</sub> = 0.316 s) times. In a further step, flexible imaging sensor arrays based on the β-Ga<sub>2</sub>O<sub>3</sub>/PET were fabricated, which exhibit good imaging capability and resolution. Moreover, wearable UVC-alarms based on the β-Ga<sub>2</sub>O<sub>3</sub>/PET were realized to monitor the UVC radiation in the environment in real time, which can be used in the COVID-19-related area. IEEE

5.
Emergency and Critical Care Medicine ; 2(3):109-115, 2022.
Article in English | Scopus | ID: covidwho-2077920

ABSTRACT

Background The coronavirus disease 2019 (COVID-19) has affected approximately 2 million individuals worldwide;however, data regarding fatal cases have been limited. Objective To report the clinical features of 162 fatal cases of COVID-19 from 5 hospitals in Wuhan between December 30, 2019 and March 12, 2020. Methods The demographic data, signs and symptoms, clinical course, comorbidities, laboratory findings, computed tomographic (CT) scans, treatments, and complications of the patients with fatal cases were retrieved from electronic medical records. Results The median patient age was 69.5 (interquartile range: 63.0-77.25) years, and 80% of the patients were over 61 years. A total of 112 (69.1%) patients were men. Hypertension (45.1%) was the most common comorbidity, while 59 (36.4%) patients had no comorbidity. At admission, 131 (81.9%) patients had severe or critical COVID-19, whereas 39 (18.1%) patients with hypertension or chronic lung disease had moderate COVID-19. In total, 126 (77.8%) patients received antiviral treatment, while 132(81.5%) patients received glucocorticoid treatment. A total of 116 (71.6%) patients were admitted to the intensive care unit (ICU), and 137 (85.1%) patients received mechanical ventilation. Most patients received mechanical ventilation before ICU admission. Approximately 93.2% of the patients developed respiratory failure or acute respiratory distress syndrome. There were no significant differences in the inhospital survival time among the hospitals (P=0.14). Conclusion Young patients with moderate COVID-19 without comorbidity at admission could also develop fatal outcomes. The in-hospital survival time of the fatal cases was similar among the hospitals of different levels in Wuhan. © Wolters Kluwer Health, Inc. All rights reserved.

6.
Huanjing Kexue Xuebao/Acta Scientiae Circumstantiae ; 42(7):53-62, 2022.
Article in Chinese | Scopus | ID: covidwho-2056466

ABSTRACT

In order to study the pollution levels of PM2.5 and water-soluble inorganic ions(WSIIs)in the towns of southern Gansu, PM2.5 samples were collected quarterly in Cheng County of Gansu from April 2019 to February 2020. Their characteristics of variation were analyzed, and the sources were apportioned using correlation and principal component analysis. The results showed that the mean annual mass concentration of PM2.5 was(57.2±26.9)μg·m-3 in Cheng County of Gansu Province. The seasonal variation of PM2.5 concentration was represented by winter>spring>autumn>summer during the sampling period, and the concentrations in winter were about 1.9 times than that in summer. The annually good air quality rate was 81%, of which 100% in summer. The ranking of WSII concentrations was SO42->NO3->Na+>NH4+>Ca2+>K+>Cl->Mg2+.SNA is the highest water-soluble ions, accounting for 70.1% of the concentration of eight main water-soluble ions. The mean ratio of ρ(NO3-)/ρ(SO42-)was 0.6, indicating that fixed sources such as industrial and agricultural production and fossil fuel combustion emissions, was the major source for particulate pollution. During the 2019 coronavirus epidemic, control measures had a significant impact on the concentration of PM2.5 and SNA in water-soluble ions, and the mean concentration of PM2.5 was reduced by 44.2%. Source apportionment showed that WSIIs in PM2.5 were mainly from fossil fuel combustion, biomass combustion, secondary formation and road construction dust, etc. © 2022 Science Press. All rights reserved.

7.
HemaSphere ; 6:1596-1597, 2022.
Article in English | EMBASE | ID: covidwho-2032166

ABSTRACT

Background: The bortezomib, lenalidomide, and dexamethasone (VRd) regimen is a standard of care for newly diagnosed multiple myeloma (NDMM). Belantamab mafodotin (belamaf) is a B-cell maturation antigen-binding antibody-drug conjugate that eliminates myeloma cells by a multimodal mechanism: direct cell kill and anti-myeloma tumor immune response. Belamaf has demonstrated deep and durable responses as a monotherapy in the DREAMM-2 study of patients (pts) with relapsed/refractory multiple myeloma (RRMM). Preclinical evidence of belamaf in combination with bortezomib or lenalidomide suggests enhanced anti-myeloma activity, providing rationale for this treatment combination. Aims: To evaluate the safety and tolerability of this combination in adult pts with transplant-ineligible (TI) NDMM and establish the recommended Phase III dose. Methods: DREAMM-9 (NCT04091126) is an ongoing Phase I, open-label, randomized study of belamaf + VRd. The belamaf dose cohorts currently being evaluated are Cohort 1 (1.9 mg/kg Q3/4W), Cohort 2 (1.4 mg/kg Q6/8W), Cohort 3 (1.9 mg/kg Q6/8W), Cohort 4 (1.0 mg/kg Q3/4W), and Cohort 5 (1.4 mg/kg Q3/4W). Belamaf is given with VRd Q3W until Cycle 8, and with Rd Q4W thereafter. After evaluation of safety data for Cohort 1, Cohorts 2-5 were opened in parallel and enrolled pts were randomized 1:1:1:1. Primary endpoint is safety. Secondary endpoints include efficacy, tolerability, and pharmacokinetics (PK). Results: As of data cutoff (07 Dec 2021), 64 pts were analyzed across all cohorts. Median age (range) was 73.0 (51- 88) years, 55% were male, 80% were white, 8% had extramedullary disease, 59% were International Staging System stage II or III, 20% had amp1q, and 17% had high-risk cytogenetics (≥1 of: t(4;14), t(14;16), del17p). The median duration of follow-up varied: Cohort 1 (17.4 months [mo]), Cohort 2 (5.9 mo), Cohort 3 (6.1 mo), Cohort 4 (4.7 mo), Cohort 5 (5.8 mo). Median number of belamaf cycles were: Cohort 1 (6), Cohort 2 (3), Cohort 3 (3.5), Cohort 4 (4.5), and Cohort 5 (5). Most common adverse events (AEs) across cohorts included thrombocytopenia (49%), constipation (43%), diarrhea (32%), and peripheral sensory neuropathy (30%). AEs related to study treatment were experienced by 61 (97%) pts. Belamaf-related grade 3/4 AEs occurred in 24 (38%) pts. Belamaf dose reductions occurred in 11 (18%) pts, with dose delays in 10 (16%) pts. Three pts experienced a fatal severe AE (unrelated to study treatment);2 due to COVID-19 infection, 1 due to pancreatic adenocarcinoma. Early deep responses were observed;67-92% pts achieved ≥very good partial response (VGPR) (Table), with median time to VGPR of 2.1-2.9 months across cohorts. Of pts with ≥VGPR, 17 were minimal residual disease (MRD) negative, 10 in Cohort 1. As of data cutoff, 8-75% of pts achieved best response of complete response (CR) or stringent CR (sCR). Grade 3 corneal exam findings were reported in 25-58% of pts;grade 3 visual acuity changes were reported in 21-75% of pts. No grade 4 corneal exam findings or visual acuity changes were reported in pts receiving belamaf Q6/8W, compared with 0-17% and 0-8%, respectively, in the Q3/4W cohorts. Belamaf PK profile was similar to that in pts with RRMM, accounting for baseline characteristics. Image: Summary/Conclusion: Belamaf + VRd demonstrated high response rates in pts with TI NDMM, with a high rate of MRD negativity indicating deep responses. No new safety signals were observed relative to DREAMM-2. Study is ongoing to evaluate the safety and efficacy of variable dose intensities of belamaf in combination with VRd.

8.
25th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2021 ; : 839-840, 2021.
Article in English | Scopus | ID: covidwho-2012958

ABSTRACT

In this study, an immuno-wall microdevice was developed to detect the spike protein of SARS-CoV-2 virus in saliva. We performed the immunoassay of the SARS-CoV-2 spike protein in saliva within 30 min without pretreatment. The assay time was about 6-time shorter than commercial ELISA (5 h) and the limit of detection (LOD) was 5 ng/mL, which was close to the commercial ELISA kit. This immuno-wall microdevice has a high promising future to be applied to the massive, low-cost, and rapid test for COVID-19. © 2021 MicroTAS 2021 - 25th International Conference on Miniaturized Systems for Chemistry and Life Sciences. All rights reserved.

9.
25th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2021 ; : 1605-1606, 2021.
Article in English | Scopus | ID: covidwho-2012142

ABSTRACT

The great advances in silicon photonic-sensing technology have made it an attractive platform for wide sensing applications. The small size of chip and detection system makes photonic microring resonator can be used in clinic for quick detection of disease. Here, we employ the high sensitivity of the photonic sensor toward the change of refractive index for the detection of SARS-CoV-2 virus spike proteins and botulinum toxin in water. The system require very small amount of sample 50uL with high sensitivity, in short 1hr without pre-treatment required. The measurement can be automatic with minimum manpower involved. Moreover, the system can be multiplexed to detect a few target analytes at the same time in one sample. © 2021 MicroTAS 2021 - 25th International Conference on Miniaturized Systems for Chemistry and Life Sciences. All rights reserved.

10.
Advanced Therapeutics ; 5(8), 2022.
Article in English | EMBASE | ID: covidwho-2007088

ABSTRACT

Cancer gene therapy based on various gene delivery vectors has some potential but also has obvious disadvantages. In this study, a new M13 phage-based oncolytic virus is constructed that carried the RGD peptides to target tumor cells and the 3C gene of Seneca Valley virus (SVV) preceded by a eukaryotic initial transcriptional region (ITR) to transcribe an oncolytic protein to kill tumor cells. Recombinant virus particles of 1200 nm in length are obtained in large quantities by transfecting the recombinant M13 phage plasmid into the host BL2738 and are investigated in vitro in tumor cells and in vivo in tumor-bearing mice to evaluate their antitumor effect. The experiments using Hela cells confirm that the engineered M13 phage can target and enter Hela cells, and express the SVV 3C protein, resulting in apoptosis of target cells by upregulating the expression of caspase 3. Furthermore, the results of experiments in vivo also show that the recombinant phage significantly inhibits the enhanced tumor volume in nude mice compared to the control groups. The M13 phage may be engineered to fuse with a variety of oncolytic proteins to inhibit the growth of tumor cells in the future, providing a promising phage-based targeted oncolytic reagent.

11.
Science Communication ; 2022.
Article in English | Web of Science | ID: covidwho-2005564

ABSTRACT

This study tested the utility of risk information seeking and processing (RISP) model in understanding college students' information seeking about COVID-19 vaccines and their vaccination behavior. Participants (N = 158) completed a survey measuring the RISP constructs at Time 1 and their COVID-19 vaccination behavior at Time 2. The RISP model explained 71.1% of the variance in COVID-19 vaccine information seeking. Risk information seeking and attitude toward the COVID-19 vaccine positively influenced college students' intentions to get the vaccine, which positively predicted their vaccination behavior. Overall, these variables explained 33.4% of the variance in COVID-19 vaccine intention, and 37.2% of the variance in COVID-19 vaccination behavior.

12.
Journal of NeuroInterventional Surgery ; 14:A112-A113, 2022.
Article in English | EMBASE | ID: covidwho-2005440

ABSTRACT

Objective Admission to the hospital for an acute cerebrovascular condition such as stroke or brain hemorrhage can be a traumatic and disorienting experience for patients and their family members. The COVID-19 pandemic has further intensified this experience in addition to exacerbating clinician and resident burnout. To ameliorate some of these concerns, a team of resident and medical student trainees implemented a virtual shared medical appointment (vSMA) program for inpatients with acute cerebrovascular disorders and their caregivers. This study hypothesized that an early intervention vSMA improves patient and caregiver health literacy and preparedness, simultaneously educates trainees on effective communication skills, and reduces clinician burnout. Methods Patients and caregivers of admitted patients were screened through the neurosurgery, neurocritical care, and neurology electronic medical record census. A weekly 60- minute secure virtual session consisted of introductions, a 10- minute standardized presentation on cerebrovascular disease management, followed by participant-guided discussion. Participants completed pre- and post-surveys. We report data on this feasibility study and present challenges, both expected and unforeseen. Results A total of 170 patients were screened;13 patients and 26 caregivers participated in at least 1 session. A total of 6 different healthcare providers facilitated sessions. The vSMA program received overwhelmingly positive feedback from caregivers. Surveys demonstrated 96.4% of caregivers and 75% of patients were satisfied with the session. 96.4% of caregivers and 87.5% of patients would recommend this type of appointment to a friend or family member. 88.8% of providers felt validated by conducting the session. The participant group had a 20% greater percentage of patients discharged home without home needs compared to the non-participant group. The primary obstacle encountered included technological frustrations with the consent process and the sessions themselves. Conclusions Implementation of a vSMA program at a tertiary care center during a pandemic was feasible. Themes caregivers expressed on the post-survey included better understanding of caring for a stroke patient, and coping with the unpredictability of a patient's prognosis. The pandemic has precipitated shifts towards telehealth, but our study highlights the importance of avoiding marginalization of the elderly and less technologically inclined populations (Table Presented).

13.
International Journal of Advertising ; 2022.
Article in English | Web of Science | ID: covidwho-2004863

ABSTRACT

Many brands have launched pandemic-themed advertising campaigns, aiming to build rapport with their customers in this unprecedented moment. Yet it is challenging for brands to know how to communicate efficiently. To fill this gap, the current research aims to provide a systematic framework that could guide advertisers in designing pandemic-themed advertisements to stimulate consumer engagement on social media by examining the role of values in context-specific brand communications. In particular, we analyze a large corpus of 286 brand YouTube videos posted between the onset of the COVID-19 and the fall of 2020 through a combination of qualitative induction, coding, and big data analytics. The results demonstrate that brands can incorporate various values in their brand communications when the world is combating a victim crisis like the current pandemic. Our findings reveal that hedonism, universalism, conformity, security, and tradition values positively predict consumer engagement (i.e., commenting), whereas stimulation value negatively predicts consumer commenting. We develop a new type of victim crisis - omnipresent victim crisis - and offer a theorization of this sub-type of victim crisis to delineate the pandemic or crises alike (e.g., environmental issues) for future research. We further highlight the role of value embodiment in crisis communication and advertising literature and offer rich theoretical and practical implications.

14.
Chinese Journal of Parasitology and Parasitic Diseases ; 40(3):271-277, 2022.
Article in Chinese | Scopus | ID: covidwho-1988524

ABSTRACT

The pandemic of Corona Virus Disease 2019 (COVID-19) worldwide has prompted the use One Health concept to solve health problems and improve the public health governance system. Using the Superiority Weakness Opportunity Threats (SWOT) analysis method to analyze the opportunities and challenges brought by the current development of One Health in China. The results show that the current advantage is that the Chinese government attaches great importance to One Health, and Chinese scholars are also actively involved in the development of One Health, but there are still disadvantages of weak foundation and low international influence. At the same time, with the opportunity for more recognition of the concept of One Health in the world, China is facing challenges such as insufficient talent competitiveness and unbalanced development in the development of One Health. In this regard, this paper puts forward the strategies and key research contents for developing One Health in China to provide ideas for promoting the development of One Health in China. © 2022, National Institute of Parasitic Diseases. All rights reserved.

15.
Journal of the International Aids Society ; 25:21-21, 2022.
Article in English | Web of Science | ID: covidwho-1981300
16.
6th International Conference on Transportation Information and Safety, ICTIS 2021 ; : 423-428, 2021.
Article in English | Scopus | ID: covidwho-1948784

ABSTRACT

At the beginning of 2020, with the rapid spread of COVID-19 around the world, the passenger flow of subway has suffered from a serious impact. Based on the subway passenger flow data in Chicago, this article analyzes the impact of COVID-19 on rail transit passenger flow. ArcGIS is used to visualize the spatial-temporal distribution of the passenger flow of different stations during different time periods. Based on the fluctuation characteristics of passenger flow before and after the outbreak of COVID-19, one of the deep learning methods, the LSTM (Long-Short Term Memory) neural network model, is constructed to predict the passenger flow of each station in the scenario of no virus. The decline of passenger flow is calculated for each station. Stepwise regression model is constructed to determine factors that explain the decline in passenger flow, and significant factors are obtained: the original passenger flow, number of houses and jobs within 800m buffer zone, number of bus stops within 800m buffer zone, whether the station is a transfer station, distance from the station to the city center, and the number of low-income people. The results of the study show that after the outbreak of COVID-19, the passenger flow of the subway in Chicago experience a 'cliff-like' decline in the short term. The passenger flow in most areas dropped by more than 80%, and the passenger flow of some severely impacted stations dropped by more than 90%. Characteristics of the station and built environment factors of different stations influence the decline of passenger flow. © 2021 IEEE.

17.
6th International Conference on Transportation Information and Safety, ICTIS 2021 ; : 362-367, 2021.
Article in English | Scopus | ID: covidwho-1948782

ABSTRACT

The outbreak of COVID-19 has greatly impacted all industries of many countries in the world. As an important part of people's daily life, transportation is one of the most severely impacted industries. Taking New York City as an example, this paper explores the decline of taxi ridership due to the COVID-19. The decreased ratio of the actual taxi ridership to the taxi ridership predicted for the no COVID-19 scenario based on historical data is calculated as the dependent variable. The fractional response model is used to study the effect of built environment factors including demographic and socioeconomic, land use, and road-related on the decline of ridership. One model is constructed for each of the four periods, to explore the influence of influencing factors on the dependent variables in different periods. The model results show that the percentage of taxi trips decline is associated with the proportion of high-income people living in the area. The reason could be that these people have more flexible working hours and working places. They can choose to telecommute or travel by private cars to avoid contacting other people during transportation. The analysis of the other factors shows that industrial jobs are related to the low percentage of decline. The model results reveal to us the problem of equity exposed in New York City during the pandemic: limited by jobs(race/income), a portion of citizens are not fully free to choose their travel mode during the pandemic. According to the findings, this paper gives traffic management some policy suggestions. As a result, this study could provide an important reference for policymakers to develop appropriate measures to control the epidemic. © 2021 IEEE.

18.
Medical Journal of Chinese People's Liberation Army ; 47(4):359-366, 2022.
Article in Chinese | EMBASE | ID: covidwho-1939421

ABSTRACT

Objective To analyze the epidemiological and clinical features of coronavirus disease 2019 (COVID-19) infected with the Delta variant of SARS-CoV-2. Methods Retrospectively analyze the epidemiological and clinical features of 138 confirmed cases of COVID-19 infected with the Delta variant of SARS-CoV-2 from October 25, 2021 to November 19, 2021 in Yantan Branch of the Second People's Hospital of Lanzhou City. The epidemiological and demographic information, clinical symptoms, laboratory tests, chest CT, treatment and prognosis data were collected, with a final follow-up date of November 27, 2021. Results As of November 19, 2021, a total of 144 confirmed cases of COVID-19 were reported in Gansu Province, of which 138 cases [65 males (47.1%) and 73 females (52.9%), aged 2-87 (42.7±21.0) years old, with the clinical classification of mainly common type (48.6%, 67/138)] were concentrically treated in the Yantan Branch of the Second People's Hospital of Lanzhou City. The transmission mode of the Delta variant of SARS-CoV-2 is mainly in confined spaces, with obvious tour group and family aggregation;screening the close contacts and community investigation are the main approaches of finding the infected persons;86.2% (119/138) of confirmed patients have been vaccinated with the domestic inactivated COVID-19 vaccine. The most common clinical symptoms are cough (57.2%, 79/138), followed by sore throat (28.3%, 39/138), dry throat (24.6%, 34/138), and expectoration (21.0%, 29/138). Only 20.3% (28/138) of patients have fever, and 4 patients (2.9%) have decreased or lost sense of smell and taste. Laboratory tests showed that serum amyloid A and high-density lipoprotein cholesterol increased significantly. The Ct value of SARS-CoV-2 ORF1ab gene is 26.31±7.63, and N gene is 26.35±7.17. Chest CT fined that 71.3% (72/101) of confirmed patients showed bilateral lung lobes involvement, and the lesions are mostly located in the lower lobes of both lungs;the lesions are mainly flaky and patchy ground-glass opacities. All confirmed cases are treated with integrated traditional Chinese and Western medicine, mainly prone position ventilation and traditional Chinese medicine (TCM) treatment. The TCM treatment rate is 100% for severe cases. On the basis of respiratory support, nutritional support and anticoagulation, immunotherapy such as neutralizing antibodies are combined. Conclusions The main clinical features of COVID-19 infected by the Delta variant of SARS-CoV-2 in Gansu Province are low rate of fever, long time for viral nucleic acid turned to negative, low risk of severe illness after vaccination, the good therapeutic effect, no intubation, no extracorporeal membrane oxygenation (ECMO), and no deaths. "One person, one plan" personalized treatment with integrated Chinese and Western medicine can effectively control the progression of the disease and cure the disease.

19.
OPEN CHEMISTRY ; 20(1):570-582, 2022.
Article in English | Web of Science | ID: covidwho-1938472

ABSTRACT

Xinguan No. 3 has been recommended for the treatment of coronavirus disease 2019 (COVID-19);however, its potential mechanisms are unclear. This study aims to explore the mechanisms of Xinguan No. 3 against COVID-19 through network pharmacology and molecular docking. We first searched the ingredients of Xinguan No. 3 in three databases (Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform, Traditional Chinese Medicines Integrated Database, and The Encyclopedia of Traditional Chinese Medicine). The active components and their potential targets were predicted through the SwissTargetPrediction website. The targets of COVID-19 can be found on the GeneCards website. Protein interaction analysis, screening of key targets, functional enrichment of key target genes, and signaling pathway analysis were performed through Search Tool for the Retrieval of Interacting Genes databases, Metascape databases, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway databases. Finally, the affinity of the key active components with the core targets was verified by molecular docking. The results showed that five core targets had been screened, including MAPK1, NF-kappa B1, RELA, AKT1, and MAPK14. Gene ontology enrichment analysis revealed that the key targets were associated with inflammatory responses and responses to external stimuli. KEGG enrichment analysis indicated that the main pathways were influenza A, hepatitis B, Toll-like receptor signaling pathway, NOD-like receptor signaling pathway, and TNF signaling pathway. Therefore, Xinguan No. 3 might play a role in treating COVID-19 through anti-inflammatory, immune responses, and regulatory responses to external stimuli.

20.
Jisuanji Gongcheng/Computer Engineering ; 47(5):1-15, 2021.
Article in Chinese | Scopus | ID: covidwho-1924846

ABSTRACT

The Corona Virus Disease 2019 COVID-19 is highly infectious and pathogenic, posing a serious threat to public safety.  Rapid and accurate detection and diagnosis of COVID-19 is key to the epidemic control. The existing detection and diagnosis methods are mainly based on nucleic acid tests or manual diagnosis using medical images.  However, nucleic acid tests are time-consuming and require special test boxes, while the manual diagnosis relies heavily on professional knowledge, takes longer time for analysis and often fail to detect concealed lesions. Since then, with the development of X-ray and Computer Tomography CT image datasets, researchers have built many deep learning-based COVID-19 detection and diagnosis models which effectively assist medical experts in the efficient diagnosis and treatment of COVID-19. This paper lists the mainstream image datasets for the detection and diagnosis of COVID-19 and related evaluation metrics. Then, it introduces the existing deep learning-based models for COVID-19 diagnosis from the perspectives of the model task and the image data type, and on this basis compares and analyzes the detection performance of the models in six different dimensions: Backbone network, data sets, image types, model performance, classification task types and park opening situation. In addition, this paper introduces the excellent application systems used to fight against COVID-19, and discusses the development trend of the studies in this field. © 2021, Editorial Office of Computer Engineering. All rights reserved.

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