Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 20 de 32
Filter
1.
Progress in Geography ; 42(2):341-352, 2023.
Article in Chinese | Scopus | ID: covidwho-20245367

ABSTRACT

Existing studies show that the outbreak of the COVID-19 pandemic has a significant impact on crime occurrences. However, it remains to be empirically examined whether the regular pandemic prevention and control measures in China can significantly affect the spatial patterns of crimes. To fill this gap, this study chosed the central urban area of Haining City in Zhejiang Province, which had taken the regular pandemic prevention and control measures, as the research area. Using standard deviation ellipse and kernel density estimation methods, this study examined the spatiotemporal patterns of theft crimes between February 2018 and July 2021 in the study area. The results show that: 1) While there were no significant changes in the hourly patterns of theft crimes within a day, the monthly number of thefts in the study area decreased by an average of 53% after the outbreak of the COVID-19 pandemic and fluctuated between 100 to 200 thefts per month. The regular COVID-19 pandemic prevention and control measures had a long-term and stable inhibitory effect on the number of theft crimes in Haining City. 2) The intensity and amount of hotspots for theft crimes in the study area decreased significantly during February 2020 and July 2021 when compared with the pre-pandemic period, and the spatial distribution patterns of theft crimes were relatively stable. 3) For the 12 crime hotspots identified for the pre-pandemic period, the monthly number of crimes decreased between 52% and 78% on average after the outbreak while trajectories of their quarterly temporal changes differed significantly. The average crime drop for the 12 hotspot areas were 63%, which was higher than that for the whole study area. 4) Seven crime-control measures were identified among the regular pandemic prevention and control measures based on the routine activity theory and the crime triangle theory. Functional type of place, geographic location, and pre-pandemic local governance ability all played an important role in affecting the actual crime-control effects of the seven regular COVID-19 pandemic prevention and control measures. The results of this study are important for understanding the spatial evolution of crimes under the influence of major public health emergencies and for formulating scientific strategies for crime prevention and control. © 2023, Editorial office of PROGRESS IN GEOGRAPHY. All rights reserved.

2.
Voprosy Istorii ; 1(1):262-275, 2023.
Article in English | Web of Science | ID: covidwho-2309135

ABSTRACT

The article is devoted to the development of traditional Chinese medicine in modern China as one of the main directions of culture. The author examines the formation of the modern status of traditional medicine, its popularity, effectiveness in the fight against coronavirus. Much attention in this article is also paid to the creation of such a scientific discipline as the discourse of traditional medicine, within which terminological bases should be systematized, as well as a system for teaching Chinese medicine in foreign languages, in particular in Russian, should be formed.

3.
Interactive Learning Environments ; 2023.
Article in English | Web of Science | ID: covidwho-2242704

ABSTRACT

With long-term impact of COVID-19 on education, online interactive live courses have been an effective method to keep learning and teaching from being interrupted, attracting more and more attention due to their synchronous and real-time interaction. However, there is no suitable method for predicting academic performance for students participating in online class. Five machine learning models are employed to predict academic performance of an engineering mechanics course, taking online learning behaviors, comprehensive performance as input and final exam scores (FESs) as output. The analysis shows the gradient boosting regression model achieves the best performance with the highest correlation coefficient (0.7558), and the lowest RMSE (9.3595). Intellectual education score (IES) is the most important factor of comprehensive performance while the number of completed assignment (NOCA), the live viewing rate (LVR) and the replay viewing rate (RVR) of online learning behaviors are the most important factors influencing FESs. Students with higher IES are more likely to achieve better academic performance, and students with lower IES but higher NOCA tend to perform better. Our study can provide effective evidences for teachers to adjust teaching strategies and provide precise assistance for students at risk of academic failure in advance.

4.
Voprosy Istorii ; 1(1):262-275, 2023.
Article in Russian | Web of Science | ID: covidwho-2231553

ABSTRACT

The article is devoted to the development of traditional Chinese medicine in modern China as one of the main directions of culture. The author examines the formation of the modern status of traditional medicine, its popularity, effectiveness in the fight against coronavirus. Much attention in this article is also paid to the creation of such a scientific discipline as the discourse of traditional medicine, within which terminological bases should be systematized, as well as a system for teaching Chinese medicine in foreign languages, in particular in Russian, should be formed.

5.
Frontiers in Environmental Science ; 10, 2023.
Article in English | Scopus | ID: covidwho-2215259

ABSTRACT

Under the constraint of carbon emission, measuring and analyzing the spatial-temporal evolution characteristics of urban land use efficiency in the Yangtze River Economic Belt is the inherent requirement of its ecological protection and sustainable development. In this paper, we calculated the urban land use efficiency of 107 cities in the Yangtze River Economic Belt from 2006 to 2020 by using the SBM-Undesirable model with unexpected output, and analyzed its temporal evolution trend and spatial correlation relationship by using kernel density and spatial autocorrelation method. The results showed that: except in 2020, the urban land use efficiency was generally low due to the COVID-19 epidemic, and the urban land use efficiency in other years was mostly concentrated in the middle levels, and showed a trend of slow fluctuation and rise year by year. The difference of urban land use efficiency level between regions increased, and the dispersion degree in upstream, midstream and downstream increased with each passing year. Urban land use efficiency spatial imbalance was significant, and the urban land use efficiency level of large and medium-sized cities was generally lower than that of cities with low economic development level. The spatial correlation was weak, and the global spatial autocorrelation was basically insignificant, while the local spatial agglomeration areas were mainly distributed in the upstream and downstream regions, with a small distribution range and weak spatial interaction. The distribution areas of the standard deviation ellipse were gradually flattened, and the center of gravity as a whole shift significantly to the southwest. The research results are helpful to understand the development history and future trend of urban land use efficiency in various regions, and propose that cities should consider the impact of public crisis events in advance, reasonably control the scale of land expansion, and lead coordinated development and other reasonable suggestions when formulating land use policies. Copyright © 2023 Yang, Pu, Jiang, Gong, Tan, Wang and He.

6.
Zhonghua Liu Xing Bing Xue Za Zhi ; 43(12): 1881-1886, 2022 Dec 10.
Article in Chinese | MEDLINE | ID: covidwho-2201082

ABSTRACT

Objective: To analyze the epidemiological characteristics and transmission chain of an epidemic of COVID-19 in Haidian district, Beijing. Methods: Descriptive epidemiological method was used to analyze the epidemiological characteristics of the epidemic, and field investigation and big data technology were used to analyze the transmission chain of the epidemic. Results: From April 27 to May 13, 2022, an epidemic of COVID-19 occurred in Haidian district. The strains isolated from the cases were identified by whole genome sequencing as Omicron variant (BA.2.2 evolutionary branch). A total of 38 infection cases were detected, including 34 confirmed cases and 4 asymptomatic cases. Most cases were mild ones (88.2%), no severe, critical or death cases occurred. The early clinical symptoms were mainly sore throat (50.0%) and cough (29.4%). The epidemic lasted for 17 days, resulting in 7 generations of the cases and involving 3 community transmissions, 2 working place transmissions and 8 family transmissions; the main infection routes were co-residence (47.6%) and co-space exposure (31.6%). The intergenerational interval M(Q1, Q3)was 3 (1, 6) days. The overall secondary attack rate was 1.5% (37/2 482), and the family secondary attack rate was 36.7% (18/49). Conclusions: The cases in this COVID-19 epidemic caused by Omicron variant had mild clinical symptoms, but the case clustering in families and communities was obvious, the transmission was rapid, and the risk for co-space exposure was high. It is necessary to use information technology to identify close contacts in the local population for the rapid and effective blocking of the epidemic spread.


Subject(s)
COVID-19 , Epidemics , Humans , COVID-19/epidemiology , Beijing/epidemiology , SARS-CoV-2
7.
Transportation Research Part a-Policy and Practice ; 166:330-353, 2022.
Article in English | Web of Science | ID: covidwho-2126583

ABSTRACT

This paper investigates how a pandemic affects the distribution of traffic between public and private transport and the emissions from the transport sector. By assuming that there exists higher health risk of traveling in public transport than in private transport and using air transport and private cars as examples, we find the following results. First, the effects of a pandemic on the traffic volumes of airline services and private cars depend crucially on, for instance, the willingness-to-pay of travelers, the degree of substitution between transport modes, the demand -side network effect (via schedule delays), and the supply-side network effect (via the economies of traffic density). In particular, heterogeneous effects of the pandemic on the traffic volumes and flight frequencies of different airline services are found. Second, the total transport-related CO2 emissions decrease after the pandemic if the CO2 emissions per air traveler (or per flight) are sufficiently high, or the degree of substitution between airline services and private cars is suffi-ciently low. Third, numerical examples on the change in price of car travel and the introduction of high-speed rail show consistent insights. Finally, several policy implications are discussed.

8.
Emergency and Critical Care Medicine ; 1(1):29-36, 2021.
Article in English | Scopus | ID: covidwho-2097480

ABSTRACT

Background: This study aimed to investigate the clinical characteristics of 21 deaths and evaluate potential factors affecting disease severity and mortality risk in patients with coronavirus disease (COVID-19). Methods: This retrospective analysis assessed clinical data of 21 patients who died owing to COVID-19. Disease severity and mortality risk were assessed using Acute Physiology and Chronic Health Evaluation II (APACHE II);Sepsis-related Organ Failure Assessment (SOFA);multilobular infiltration, hypo-lymphocytosis, bacterial coinfection, smoking history, hypertension and age (MuLBSTA);and pneumonia severity index (PSI) scores. Results: The mean age of the patients was 66 ± 14 years and 15 (71.4%) patients were men. Sixteen (76.2%) patients had chronic medical illnesses. Twelve (57.1%) patients were overweight. Decreased lymphocyte proportions were observed in 17 (81.0%) patients on admission. Elevated D-dimer levels were observed in 11 (52.4%) patients, and the levels significantly increased when pneumonia deteriorated. The initial APACHE II and SOFA scores demonstrated that 18 (85.7%) and 13 (61.9%) patients, respectively, were in the middle-risk level. MuLBSTA and PSI scores after admission were associated with higher risks of mortality in 13 (61.9%) patients. Most patients developed organ failure and subsequently died. Conclusions: Older, overweight, male patients with a history of chronic illnesses and continuously decreased lymphocyte proportions and increased D-dimer levels might have higher risks of death owing to COVID-19. The combination of general scoring (SOFA) and pneumonia-specific scoring (MuLBSTA and PSI) systems after admission might be sensitive in assessing the mortality risk of patients with COVID-19 who are in critical condition. Copyright © 2021 Shandong University, published by Wolters Kluwer, Inc.

9.
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.

10.
Chinese Journal of Microbiology and Immunology (China) ; 42(6):451-455, 2022.
Article in Chinese | EMBASE | ID: covidwho-1969568

ABSTRACT

Objective To evaluate the in vitro cross-neutralization of serum antibodies in human and mice immunized with inactivated SARS-CoV-2 vaccine against Delta and Beta variants. Methods Human serum samples after a second and a third dose of inactivated SARS-CoV-2 vaccine and mouse serum samples after a two-dose vaccination were collected. The neutralizing antibodies in the samples against SARS-CoV-2 strains of prototype, Delta and Beta variants were detected using micro-neutralization assay in biosafety level III laboratory. The seroconversion rates and geometric mean titers (GMTs) of antibodies were calculated. Results The seroconversion rates of antibodies in human serum samples against different SARSCoV-2 strains were all above 95%. After two-dose vaccination, the GMTs of neutralizing antibodies against the prototype, Delta and Beta strains were 109, 41 and 15, respectively. The GMTs decreased by 2. 7 folds and 7. 3 folds for the Delta and Beta variants as compared with the prototype strain. After the booster vaccination, the GMTs of neutralizing antibodies against the prototype, Delta and Beta strains were 446,190 and 86, respectively. The GMTs of neutralizing antibodies against Delta and Beta variants decreased by 2. 3 folds and 5. 2 folds as compared with that against the prototype strain. The seroconversion rates of antibodies against different SARS-CoV-2 strains in mouse serum samples were all 100%. The GMTs of neutralizing antibodies against the prototype, Delta and Beta strains were 2 037, 862 and 408, respectively. The GMTs decreased by 2.4 folds and 5.0 folds for the Delta and Beta variants. Conclusions Inactivated SARS-CoV-2 vaccine could induce a certain level of neutralizing antibodies against Delta and Beta variants in both human and mouse models. Moreover, a third dose of vaccine induced higher levels of neutralizing antibodies against Delta and Beta variants in human. This study provided valuable data for the clinical application and protective evaluation of the inactivated SARS-CoV-2 vaccine.

11.
Micro & Nano Letters ; : 10, 2022.
Article in English | Web of Science | ID: covidwho-1612222

ABSTRACT

With the rapid spread and proliferation of Coronavirus disease 2019 (COVID-19) worldwide, highly pathogenic severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) seriously threatens human life and health. The rapid and accurate abilities to detect SARS-CoV-2 have become the key to prevent and control COVID-19. Electrochemical sensors have shown broad application prospects in biological detection because of the advantages of high sensitivity, specificity, and short time-consuming. This review summarizes the application of electrochemical biosensors in detecting SARS-CoV-2 and discusses prospects for developing direction in this field.

12.
Gastroenterology ; 160(6):S-389, 2021.
Article in English | EMBASE | ID: covidwho-1593850

ABSTRACT

Introduction: Corneal abrasion (CA) is the most common ocular adverse event from nonocular surgery under sedation. CA is a known but rare complication after gastrointestinal endoscopy described in the left eye due to left lateral decubitus positioning for the procedure. Patients undergoing endoscopy after the onset of the COVID-19 pandemic were required to wear surgical masks during all endoscopic procedures (unless per-orum endoscopy) and post-procedurally in the recovery area. The aim of this quality improvement (QI) project was to chronicle the rate of CA in the COVID-19 era and determine the efficacy of a simple intervention for its prevention. Methods: All patients undergoing endoscopy at our academic tertiary referral institution were screened for symptoms of CA in the endoscopy recovery area and via nurse phone call post-procedure. All CA were reported using an adverse event reporting system. Mandatory use of a surgical mask for all patients undergoing endoscopy was instituted on March 1, 2020. CA reporting prompted a QI intervention instituted on September 1, 2020 consisting of taping the surgical mask on the nose bridge to prevent caudal migration as well as bilateral taping of eyes. Adverse event rates of CA (AER-CA) were compared to endoscopy unit baseline for the 14 months prior to COVID-19 (PRECOVID, January 1, 2019 – February 29, 2020), during the COVID-19 era prior to QI intervention (PRE-QI, March 1, 2020 – August 31, 2020), and during the COVID-19 era post QI intervention (POST-QI, September 1, 2020 – November 30, 2020). AER-CA were compared using a Fisher’s exact test. Results: A total of 16,107 patients underwent endoscopic procedures at our institution during the entire study period, of which 5,392 occurred during the PRE-QI and POST-QI periods. The baseline PRE-COVID AER-CA was 0.03% (3/10,715), with a notable increase in the PRE-QI AER-CA to 0.09% (3/3,243;p=0.14) with both left and right eye CA. In the POST-QI period, the AER-CA was 0 (0/2,149 procedures) with no CA reported. Discussion: Changes to patient safety protocols in the COVID-19 era presented new challenges. Exacerbations of prior problems in the intra and peri-endoscopic periods included increased CA now due to a new mechanism of caudal migration of the surgical mask resulting in CA to not only the left eye but now to the right eye as well. There was a marked increase in AER-CA in the PRE-QI era compared to PRE-COVID (p= 0.14), and a clinically substantial decrease in AER-CA in the POST-QI period compared to PRE-QI period with complete prevention post-QI, albeit non-statistically significant due to low overall total numbers of CA. Implementation of a simple QI intervention with taping of the surgical mask to nose bridge and taping bilateral eyes closed is an efficacious method of preventing CA in patients undergoing endoscopy and should be made a routine practice.

13.
Journal of Nutrition Health & Aging ; : 1, 2021.
Article in English | Web of Science | ID: covidwho-1588712

ABSTRACT

The original version of this article contained errors in author affiliations and Figures. The correct information author affiliations and Figures should be as follows. The authors would like to apologize for any inconvenience caused.

14.
Natural Product Communications ; 16(11):10, 2021.
Article in English | Web of Science | ID: covidwho-1560753

ABSTRACT

Before COVID-19, many viruses have infected humans, so what caused COVID-19 to be considered as a pandemic? COVID-19 belongs to the coronavirus family that includes severe acute respiratory syndrome (SARS) and Middle East Respiratory Syndrome (MERS). This family has caused a large number of deaths all over the world. How risky is the novel coronavirus? People and their careers were disrupted, and many businesses all over the world are now closed. From here, it seems to us that this virus is something that can make people feel afraid. In this article, we will try to understand the severity of this virus, and then disclose the available ways to confront it and ways that might improve the ability to face it, either now or in the future. Upon comparing COVID-19 with seasonal flu, we have found that COVID-19 is about 10 times more deadly, although it is not the most infectious virus. In this review, we will discuss how healthy nutrition and lifestyle may help to prevent and treat diseases, and especially COVID-19. We will focus on how to follow healthy nutrition habits and lifestyles to stop the dangers of COVID-19.

15.
29th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, SIGSPATIAL 2021 ; : 516-525, 2021.
Article in English | Scopus | ID: covidwho-1528579

ABSTRACT

Deep learning has assisted modern life in various ways. One example is that accurate economic prediction helps people better allocate and distribute their resources. In the U.S., home prices have been accelerating during the COVID-19 pandemic and climbed 13.3% in March 2021 from the previous year. Real estate market prediction is critical for home buyers and investors to make wise decisions. In some circumstances, accurate predictions on home prices are more important than usual in helping decision-makers to reduce financial mistakes. In this paper, we introduce a large-scale real estate-related dataset for the value prediction task. It consists of numerical real estate price history data from Zillow1 and survey data from Census Bureau public dataset. Our goal is to utilize data from different levels to model the real-estate dynamics with temporal and non-temporal data. We propose to embed sequential temporal features using a transformer and combine them with non-temporal features for subsequent prediction tasks, and evaluate using a different number of classes L ∈ {2, 3, 4, 5}. As an example, when L = 2, we have achieved 93.5% accuracy with our proposed model, and when L = 3, our proposed model has achieved 90.1% prediction accuracy. The results suggest that the proposed model overall outperforms all the baseline models. © 2021 ACM.

16.
Francis, J. M.; Leistritz-Edwards, D.; Dunn, A.; Tarr, C.; Lehman, J.; Dempsey, C.; Hamel, A.; Rayon, V.; Liu, G.; Wang, Y.; Wille, M.; Durkin, M.; Hadley, K.; Sheena, A.; Roscoe, B.; Ng, M.; Rockwell, G.; Manto, M.; Gienger, E.; Nickerson, J.; Moarefi, A.; Noble, M.; Malia, T.; Bardwell, P. D.; Gordon, W.; Swain, J.; Skoberne, M.; Sauer, K.; Harris, T.; Goldrath, A. W.; Shalek, A. K.; Coyle, A. J.; Benoist, C.; Pregibon, D. C.; Jilg, N.; Li, J.; Rosenthal, A.; Wong, C.; Daley, G.; Golan, D.; Heller, H.; Sharpe, A.; Abayneh, B. A.; Allen, P.; Antille, D.; Armstrong, K.; Boyce, S.; Braley, J.; Branch, K.; Broderick, K.; Carney, J.; Chan, A.; Davidson, S.; Dougan, M.; Drew, D.; Elliman, A.; Flaherty, K.; Flannery, J.; Forde, P.; Gettings, E.; Griffin, A.; Grimmel, S.; Grinke, K.; Hall, K.; Healy, M.; Henault, D.; Holland, G.; Kayitesi, C.; LaValle, V.; Lu, Y.; Luthern, S.; Schneider, J. M.; Martino, B.; McNamara, R.; Nambu, C.; Nelson, S.; Noone, M.; Ommerborn, C.; Pacheco, L. C.; Phan, N.; Porto, F. A.; Ryan, E.; Selleck, K.; Slaughenhaupt, S.; Sheppard, K. S.; Suschana, E.; Wilson, V.; Carrington, M.; Martin, M.; Yuki, Y.; Alter, G.; Balazs, A.; Bals, J.; Barbash, M.; Bartsch, Y.; Boucau, J.; Carrington, M.; Chevalier, J.; Chowdhury, F.; DeMers, E.; Einkauf, K.; Fallon, J.; Fedirko, L.; Finn, K.; Garcia-Broncano, P.; Ghebremichael, M. S.; Hartana, C.; Jiang, C.; Judge, K.; Kaplonek, P.; Karpell, M.; Lai, P.; Lam, E. C.; Lefteri, K.; Lian, X.; Lichterfeld, M.; Lingwood, D.; Liu, H.; Liu, J.; Ly, N.; Hill, Z. M.; Michell, A.; Millstrom, I.; Miranda, N.; O'Callaghan, C.; Osborn, M.; Pillai, S.; Rassadkina, Y.; Reissis, A.; Ruzicka, F.; Seiger, K.; Sessa, L.; Sharr, C.; Shin, S.; Singh, N.; Sun, W.; Sun, X.; Ticheli, H.; Trocha-Piechocka, A.; Walker, B.; Worrall, D.; Yu, X. G.; Zhu, A..
Sci Immunol ; : eabk3070, 2021.
Article in English | PubMed | ID: covidwho-1519187

ABSTRACT

[Figure: see text].

17.
Journal of Clinical Oncology ; 39(28 SUPPL), 2021.
Article in English | EMBASE | ID: covidwho-1496281

ABSTRACT

Background: There was rapid adoption of teleoncology at Veterans Health Administration (VHA) during the COVID-19 pandemic. One-third of 9 million VHA-enrolled Veterans live in rural areas. While digital solutions can expand capacity, enhance care access, and reduce financial burden, they may also exacerbate rural-urban health disparities. Careful evaluation of patients' perceptions and policy tradeoffs are necessary to optimize teleoncology post-pandemic. Methods: Patients with ≥1 teleoncology visit with medical, surgical, or radiation oncology between March 2020 and June 2020 identified retrospectively. Validated, Likert-type survey assessing patient satisfaction developed. Follow-up survey conducted on patients with ≥1 teleoncology visit from August 2020 to January 2021. Travel distance, time, cost, and carbon dioxide (CO2) emissions calculated based on zip codes. Results: 100 surveys completed (response rate, 62%). Table with demographics. Patients overall satisfied with teleoncology (83% 'Agree' or 'Strongly Agree') but felt less satisfied than in-person visits (47% 'Agree' or 'Strongly Agree'). Audiovisual component improved patient perception of involvement in care (two-sided, p = 0.0254), ability to self-manage health/medical needs (p = 0.0167), and comparability to in person visits (p = 0.0223). Follow-up survey demonstrated similar satisfaction. Total travel-related savings: 86,470 miles, 84,374 minutes, $49,720, and 35.5 metric tons of CO2).Conclusions: Veterans are broadly satisfied with teleoncology. Audiovisual capabilities are critical to satisfaction. This is challenging for rural populations with lack of technology access. Patients experienced financial and time savings, and society benefitted from reduced carbon emissions. Continued optimization needed to enhance patient experience and address secondary effects.

18.
Pharmaceutical Fronts ; 2021.
Article in English | EMBASE | ID: covidwho-1402158

ABSTRACT

The outbreak of novel coronavirus pneumonia (COVID-19), defined as a worldwide pandemic, has been a public health emergency of international concern. Pudilanxiaoyan oral liquid (PDL), an effective drug of Traditional Chinese Medicine (TCM), is considered to be an effective and alternative means for clinical prevention of COVID-19. The purpose of this study was to identify potential active constituents of PDL, and explore its underlying anti-COVID-19 mechanism using network pharmacology. Integration of target prediction (SwissTargetPrediction and STITCH database) was used to elucidate the active components of PDL. Protein-protein interaction network analyses, gene ontology, Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses, network construction, and molecular docking were applied to analyze the prospective mechanisms of the predicted target genes. Our results showed that the key active ingredients in PDL were luteolin, apigenin, esculetin, chrysin, baicalein, oroxylin A, baicalin, wogonin, cymaroside, and gallic acid. A majority of the predicted targets were mainly involved in the pathways related to viral infection, lung injury, and inflammatory responses. An in vitro study further inferred that inhibiting the activity of nuclear factor (NF)-B signaling pathway was a key mechanism by which PDL exerted anti-COVID-19 effects. This study not only provides chemical basis and pharmacology of PDL but also the rationale for strategies to exploring future TCM for COVID-19 therapy.

19.
Huanjing Kexue Xuebao/Acta Scientiae Circumstantiae ; 41(8):3001-3011, 2021.
Article in Chinese | Scopus | ID: covidwho-1380131

ABSTRACT

The study focuses on the emerging events of ozone formation in Chengdu-Chongqing areas, southwestern China in March-April 2019, investigating the sensitivities of ozone (O3) formation from anthropogenic precursor emissions in the Chengdu-Chongqing region. The study used the CAMx-DDM air quality model by changing scenarios of pollutants emissions due to the prevention and control measures of the "COVID-19" pandemic in 2020. The simulation results show the negative sensitivity of O3 to NOx and the positive sensitivity to VOCs in Chengdu-Chongqing area. The higher sensitivity areas include the main urban area of Chongqing, the west of the main urban area, the southern urban agglomeration of Sichuan and the western part of Chengdu plain, due to their intensive distributions of pollution emission sources. For example, the average sensitivity of O3 hourly concentration to NOx and VOCs from March to April in 2019 is -19.14 μg•m-3and 7.25 μg•m-3 respectively in the main urban area of Chongqing. The result shows opposite diurnal variations because of the emissions from local and surrounding areas. The simulation results showed that under the condition of 25% reduction of VOCs emissions in these regions, the monthly mean ozone maximum 8-hour concentration in March and April decreased by 2.62 μg•m-3 and 3.59 μg•m-3, respectively. Sensitivity simulation results show that in March 2020, NOx emissions in Sichuan Province and Chongqing decreased by 8.00% and 22.40%, VOCs decreased by 1. 00% and 7.92%. In April, NOx emissions increased by 5.00% and 9.50% year on year, VOCs in Sichuan province were flat year on year, and VOCs in Chongqing increased by 3.63%, which was very consistent with the actual emissions caused by the prevention and control of the "COVID-19" epidemic and the recovery of production in the same period. © 2021, Science Press. All right reserved.

20.
IEEE Network ; 35(3):27-33, 2021.
Article in English | Scopus | ID: covidwho-1367259

ABSTRACT

The outbreak of coronavirus COVID-19 not only brings great disaster to the people of the world, but also brings heavy burden to the medical and health network system. Massive network data traffic and resource optimization requests make traditional network architectures unable to calmly deal with the impact of COVID-19. Artificial intelligence (AI) can effectively raise the upper limit of the medical and health network, as evidenced by the ever-increasing restorative clinical data. In addition, the development of next-generation network (NGN) technologies based on machine learning (ML) has created unlimited possibilities for the emergence of emerging medical methods. In order to reflect the effective results of the current application of AI technologies in the fight against the COVID-19 epidemic and provide a reliable guarantee for subsequent diagnosis and treatment of COVID-19 epidemics, a series of AI technologies which can be used in the diagnosis and treatment of COVID-19 are systematically summarized and analyzed. Based on various AI technologies and methods, we try to propose an AI-based medical network architecture. The architecture uses AI technologies to quickly and effectively realize the monitoring, diagnosis and treatment of patients. Finally, we rationally analyzed the technical challenges and practical problems that may be faced in implementing the architecture. The purpose of this article is to inspire scholars and medical researchers to carry out the latest research in response to the COVID-19 epidemic and make breakthrough medical technology progress. © 1986-2012 IEEE.

SELECTION OF CITATIONS
SEARCH DETAIL