Real-time Cheating Detection System Based on Sight Detection

Due to the COVID-19 pandemic, many exams, written tests and interviews are conducted online and remotely, which raises a series of questions such as how to prevent cheating. In this project, the methods commonly used in the existing cheating monitoring system are fully investigated and their shortcomings are improved one by one. Finally, a line of sight detection algorithm based on computer vision technology is designed, and a prototype of auxiliary cheating detection system that can get good results only with a small number of samples is developed. © 2022 SPIE.

Probit-Based Discrete-Continuous Choice Model to Explore the Relationship Between Car Ownership and Commuters' Non-Work Activity Durations in Xiaoshan District of Hangzhou, China

In China, a developing country, the car ownership level is much lower than that in developed countries, but transportation policies have been implemented to discourage car ownership and mitigate traffic congestion. However, car ownership (considered as car availability in this paper, meaning that an individual has access to a household private car) may influence travelers' well-being. To highlight the interrelation between car ownership and travelers' well-being, this paper develops a probit-based discrete-continuous model to analyze the relationship between car ownership and the duration of commuters' three major non-work outdoor activities (Act1: shopping and dining;Act2: leisure and entertainment;and Act3: visiting relatives or friends) in Xiaoshan District, Hangzhou, China. Empirical results indicate strong effects of individual and household socio-demographics, built environment attributes, and work-related characteristics on the car ownership decision and the duration of three non-work activities. The analysis shows positive correlations in unobserved factors between the car ownership decision and the duration of Acts1-3, indicating a mutually promotive relationship. Similarly, negative correlations among the duration of Acts1-3 show that non-work activities' duration is mutually substitutive. These findings will help to better understand commuters' car ownership decisions and non-work outdoor activity behavior restricted by fixed work schedules in developing countries, which can, in turn, better evaluate the impact of transportation policies (such as car ownership restriction) on travel demand as well as well-being, and provide decision support for the formulation of transportation policies.

Bibliometric analysis and system review of vehicle routing optimization for emergency material distribution

Determining the optimal vehicle routing of emergency material distribution (VREMD) is one of the core issues of emergency management, which is strategically important to improve the effectiveness of emergency response and thus reduce the negative impact of large-scale emergency events. To summarize the latest research progress, we collected 511 VREMD-related articles published from 2010 to the present from the Scopus database and conducted a bibliometric analysis using VOSviewer software. Subsequently, we cautiously selected 49 articles from these publications for system review;sorted out the latest research progress in model construction and solution algorithms;and summarized the evolution trend of keywords, research gaps, and future works. The results show that do -mestic scholars and research organizations held an unqualified advantage regarding the number of published papers. However, these organizations with the most publications performed poorly regarding the number of literature citations. China and the US have contributed the vast majority of the literature, and there are close collaborations between researchers from both countries. The optimization model of VREMD can be divided into single-, multi-, and joint-objective models. The shortest travel time is the most common optimization objective in the single-objective optimization model. Several scholars focus on multiobjective optimization models to consider conflicting objectives simultaneously. In recent literature, scholars have focused on the impact of uncertainty and special events (e.g., COVID-19) on VREMD. Moreover, some scholars focus on joint optimization models to optimize vehicle routes and central locations (or material allocation) simultaneously. So-lution algorithms can be divided into two primary categories, i.e., mathematical planning methods and intelligent evolutionary algorithms. The branch and bound algorithm is the most dominant mathematical planning algorithm, while genetic algorithms and their enhancements are the most commonly used intelligent evolutionary algorithms. It is shown that the nondominated sorting genetic algorithm II (NSGA-II) can effectively solve the multiobjective model of VREMD. To further improve the algorithm's performance, re-searchers have proposed improved hybrid intelligent algorithms that combine the ad-vantages of NSGA-II and certain other algorithms. Scholars have also proposed a series of optimization algorithms for specific scenarios. With the development of new technologies and computation methods, it will be exciting to construct optimization models that consider uncertainty, heterogeneity, and temporality for large-scale real-world issues and develop generalized solution approaches rather than those applicable to specific scenarios.(c) 2022 Periodical Offices of Chang'an University. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC -ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Genomic regulatory network of human olfactory neuroepithelial cells infected with novel coronavirus (SARS-COV-2).

Objective To explore the genomic changes of human olfactory neuroepithelial cells after the novel coronavirus (SARS-COV-2) infecting the human body, and establish a protein-protein interaction (PPI) network of differentially expressed genes (DEGs), in order to understand the impact of SARS-COV-2 infection on human olfactory neuroepithelial cells, and provide reference for the prevention and treatment of new coronavirus pneumonia. Methods The public dataset GSE151973 was analyzed by NetworkAnalyst. DEGs were selected by conducting Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) signal pathway analysis. PPI network, DEGs-microRNA regulatory network, transcription factor-DEGs regulatory network, environmental chemicals-DEGs regulatory network, and drug-DEGs regulatory network were created and visualized by using Cytoscape 3.7.2. Results After SAR-COV-2 invading human olfactory neuroepithelial cells, part of the gene expression profile was significantly up-regulated or down-regulated. A total of 568 DEGs were found, including 550 up-regulated genes (96.8%) and 18 down-regulated genes (3.2%). DEGs were mainly involved in biological processes such as endothelial development and angiogenesis of the olfactory epithelium, and the expression of molecular functions such as the binding of the N-terminal myristylation domain. PPI network suggested that RTP1 and RTP2 were core proteins. MAZ was the most influential transcription factor. Hsa-mir-26b-5p had the most obvious interaction with DEGs regulation. Environmental chemical valproic acid and drug ethanol had the most influence on the regulation of DEG. Conclusion The gene expression of olfactory neuroepithelial cells is significantly up-regulated or down-regulated after infection with SAR-COV-2. SARS-CoV-2 may inhibit the proliferation and differentiation of muscle satellite cells by inhibiting the function of PAX7. RTP1 and RTP2 may resist SARS-CoV-2 by promoting the ability of olfactory receptors to coat the membrane and enhancing the ability of olfactory receptors to respond to odorant ligands. MAZ may regulate DEGs by affecting cell growth and proliferation. Micro RNA, environmental chemicals and drugs also play an important role in the anti-SAR-COV-2 infection process of human olfactory neuroepithelial cells.Copyright © 2022 Editorial Department of Journal of Shanghai Second Medical University. All rights reserved.

Analysis of the Influence of the Psychology Changes of Fear Induced by the COVID-19 Epidemic on the Body.

In this paper, the theory of " Fear injury kidney " in traditional Chinese medicine is systematically reviewed, and it is found that long-term or excessive psychological changes of fear are likely to damage kidney qi and kidney essence. On this basis, the psychological studies of patients, medical staff and the public during the COVID-19 epidemic in China were analyzed, and fear psychology was found to be prevalent among all kinds of people. Modern researches on "Fear injury kidney" have also found that long-term or excessive fear could cause changes in the neuro-endocrine-immune system, which can induce diseases or susceptibility to some diseases. Therefore, during or after the prevalence of COVID-19, different groups of people may have emotional reactions such as stress and fear, which should be paid long-term attention, and the influence of fear on the body cannot be ignored. According to the change rule of psychological state under stress reaction, we should actively respond to and take psychological crisis intervention measures in time to reduce the harm of psychological stress to the body.

Genomic regulatory network of human olfactory neuroepithelial cells infected with novel coronavirus (SARS-COV-2)

Objective To explore the genomic changes of human olfactory neuroepithelial cells after the novel coronavirus (SARS-COV-2) infecting the human body, and establish a protein-protein interaction (PPI) network of differentially expressed genes (DEGs), in order to understand the impact of SARS-COV-2 infection on human olfactory neuroepithelial cells, and provide reference for the prevention and treatment of new coronavirus pneumonia. Methods The public dataset GSE151973 was analyzed by NetworkAnalyst. DEGs were selected by conducting Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) signal pathway analysis. PPI network, DEGs-microRNA regulatory network, transcription factor-DEGs regulatory network, environmental chemicals-DEGs regulatory network, and drug-DEGs regulatory network were created and visualized by using Cytoscape 3.7.2. Results After SAR-COV-2 invading human olfactory neuroepithelial cells, part of the gene expression profile was significantly up-regulated or down-regulated. A total of 568 DEGs were found, including 550 up-regulated genes (96.8%) and 18 down-regulated genes (3.2%). DEGs were mainly involved in biological processes such as endothelial development and angiogenesis of the olfactory epithelium, and the expression of molecular functions such as the binding of the N-terminal myristylation domain. PPI network suggested that RTP1 and RTP2 were core proteins. MAZ was the most influential transcription factor. Hsa-mir-26b-5p had the most obvious interaction with DEGs regulation. Environmental chemical valproic acid and drug ethanol had the most influence on the regulation of DEG. Conclusion The gene expression of olfactory neuroepithelial cells is significantly up-regulated or down-regulated after infection with SAR-COV-2. SARS-CoV-2 may inhibit the proliferation and differentiation of muscle satellite cells by inhibiting the function of PAX7. RTP1 and RTP2 may resist SARS-CoV-2 by promoting the ability of olfactory receptors to coat the membrane and enhancing the ability of olfactory receptors to respond to odorant ligands. MAZ may regulate DEGs by affecting cell growth and proliferation. Micro RNA, environmental chemicals and drugs also play an important role in the anti-SAR-COV-2 infection process of human olfactory neuroepithelial cells.

Genomic regulatory network of human olfactory neuroepithelial cells infected with novel coronavirus (SARS-COV-2)

Objective To explore the genomic changes of human olfactory neuroepithelial cells after the novel coronavirus (SARS-COV-2) infecting the human body, and establish a protein-protein interaction (PPI) network of differentially expressed genes (DEGs), in order to understand the impact of SARS-COV-2 infection on human olfactory neuroepithelial cells, and provide reference for the prevention and treatment of new coronavirus pneumonia. Methods The public dataset GSE151973 was analyzed by NetworkAnalyst. DEGs were selected by conducting Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) signal pathway analysis. PPI network, DEGs-microRNA regulatory network, transcription factor-DEGs regulatory network, environmental chemicals-DEGs regulatory network, and drug-DEGs regulatory network were created and visualized by using Cytoscape 3.7.2. Results After SAR-COV-2 invading human olfactory neuroepithelial cells, part of the gene expression profile was significantly up-regulated or down-regulated. A total of 568 DEGs were found, including 550 up-regulated genes (96.8%) and 18 down-regulated genes (3.2%). DEGs were mainly involved in biological processes such as endothelial development and angiogenesis of the olfactory epithelium, and the expression of molecular functions such as the binding of the N-terminal myristylation domain. PPI network suggested that RTP1 and RTP2 were core proteins. MAZ was the most influential transcription factor. Hsa-mir-26b-5p had the most obvious interaction with DEGs regulation. Environmental chemical valproic acid and drug ethanol had the most influence on the regulation of DEG. Conclusion The gene expression of olfactory neuroepithelial cells is significantly up-regulated or down-regulated after infection with SAR-COV-2. SARS-CoV-2 may inhibit the proliferation and differentiation of muscle satellite cells by inhibiting the function of PAX7. RTP1 and RTP2 may resist SARS-CoV-2 by promoting the ability of olfactory receptors to coat the membrane and enhancing the ability of olfactory receptors to respond to odorant ligands. MAZ may regulate DEGs by affecting cell growth and proliferation. Micro RNA, environmental chemicals and drugs also play an important role in the anti-SAR-COV-2 infection process of human olfactory neuroepithelial cells. Copyright © 2022 Editorial Department of Journal of Shanghai Second Medical University. All rights reserved.

Symptoms associated with nucleic acid turning-negative-time in COVID-19 patients?

To explore on the association between nucleic acid turning-negative-time and traditional Chinese medicine (TCM) symptoms in coronavirus disease 2019 (COVID-19) patients with the Omicron variant.Method:: For this retrospective cross-sectional study, we enrolled 189 patients with COVID-19 (age 20–90 years) were included. multiple linear regression models were used to investigate the TCM symptoms affecting the nucleic acid turning-negative-time of COVID-19 patients, during the process of data analysis, taking with nucleic acid turning-negative-time as the dependent variable, and TCM symptoms as independent variables, and at the same time, sex, age, hypertension, diabetes, and coronary heart disease were as confounding variables. Results:: The study found that the most common TCM symptoms of COVID-19 patients with Omicron were cough, dry throat, expectoration, fever, sore throat, pharyngeal itching, running nose, and nasal congestion. Regression analysis showed that the fit regressive equation showed a significant difference (F = 4.286, P < 0.001), R = 0.400, the adjusted R 2 = 0.123, and three variables in the regression equation showed significant difference (P < 0. 05). The results showed that nucleic acid turning-negative-time was mostly related to constipation, fever, and expectoration. If the patients had the symptoms of constipation, fever, and expectoration;that is, if patients showed these symptoms, the turning-negative-time of nucleic acid in patients with Omicron will be prolonged. Conclusions:: Treatment based on symptoms for patients with constipation, fever, and expectoration may have important clinical significance for the COVID-19 patients with Omicron.

POLLINATOR-FLOWER INTERACTIONS IN GARDENS DURING THE COVID-19 PANDEMIC LOCKDOWN OF 2020

During the main COVID-19 global pandemic lockdown period of 2020 an impromptu set of pollination ecologists came together via social media and personal contacts to carry out standardised surveys of the flower visits and plants in gardens. The surveys involved 67 rural, suburban and urban gardens, of various sizes, ranging from 61.18° North in Norway to 37.96° South in Australia, resulting in a data set of 25,174 rows, with each row being a unique interaction record for that date/site/plant species, and comprising almost 47,000 visits to flowers, as well as records of flowers that were not visited by pollinators, for over 1,000 species and varieties belonging to more than 460 genera and 96 plant families. The more than 650 species of flower visitors belong to 12 orders of invertebrates and four of vertebrates. In this first publication from the project, we present a brief description of the data and make it freely available for any researchers to use in the future, the only restriction being that they cite this paper in the first instance. The data generated from these global surveys will provide scientific evidence to help us understand the role that private gardens (in urban, rural and suburban areas) can play in conserving insect pollinators and identify management actions to enhance their potential. © 2022 The authors.

Spatial-temporal characteristics and pollutant assessment in the early stage of COVID-19 outbreak in China

To explore the early stage spatial-temporal characteristics and to assess the factors of atmospheric pollution that may affect the development of coronavirus disease 2019（COVID-19）outbreak in the Chinese Mainland in 2020，we collected the daily new cases of COVID-19 in the Municipalities and Provinces from the websites of National and Provincial Health Commission of China. The spatiotemporal characteristics of COVID-19 epidemic were studied using autocorrelation analysis and trend analysis. The Spearman's correlation coefficient for ranked data and generalized additive model were used for risk assessment of air pollutants affecting the COVID-19 epidemic of Hubei Province. Daily new cases of COVID-19 in the Chinese Mainland totaled 39 877 from January 20th to February 9th of 2020. The global Moran index values of these three weeks were 0.249，0.307 and 0.297（P<0.01），respectively. There was a significant clustering phenomenon. The high incidence regions included Hunan Province，Guangdong Province，Jiangxi Province，Zhejiang Province，Anhui Province and Jiangsu Province. The epidemic hot spots were basically distributed in the area from 108° 47'-123° 10' E to 25° 31'-35° 20' N. Daily new cases of COVID-19 in Hubei Province was positively correlated with daily average concentrations of PM10，NO2 and O3 pollutants（ρ =0.515，0.579 and 0.536，P<0.05）. The lag effects of air pollutions were existed. The relative risk（RR）values of PM2.5and PM10 reached to maximum with lag0，the RR value of NO2 reached to maximum with lag4，and the RR value of O3 reached to maximum with lag 0~1. We estimated that a 10 μg/m3 increase in day-before NO2 daily average concentration was associated with a 32.745% （95% Confidence Interval（CI）：11.586%-57.916%）excess risk（ER）of daily new cases of COVID-19. And NO2 had a significant impact on daily new cases of COVID-19. When NO2 was introduced to PM2.5and PM10 separately，for every 10 μg/m3 rise in NO2 daily average concentration，the ER of daily new cases of COVID-19 was 23.929%（95% CI：4.705%-46.682%）and 24.672%（95% CI：5.379%-47.496%），respectively. The study showed that the southeast was the main spread direction in the early stage of COVID-19 outbreak in the Chinese Mainland in 2020. Reducing the atmospheric concentration of nitrogen dioxide in epidemic hot spots has a positive effect on epidemic prevention and control. © 2022 Journal of Zhongshan University. All rights reserved.

Partner with a Third-Party Delivery Service or Not? A Prediction-and-Decision Tool for Restaurants Facing Takeout Demand Surges During a Pandemic

Amidst the COVID-19 pandemic, restaurants become more reliant on no-contact pick-up or delivery ways for serving customers. As a result, they need to make tactical planning decisions such as whether to partner with online platforms, to form their own delivery team, or both. In this paper, we develop an integrated prediction-decision model to analyze the profit of combining the two approaches and to decide the needed number of drivers under stochastic demand. We first use the susceptible-infected-recovered (SIR) model to forecast future infected cases in a given region and then construct an autoregressive-moving-average (ARMA) regression model to predict food-ordering demand. Using predicted demand samples, we formulate a stochastic integer program to optimize food delivery plans. We conduct numerical studies using COVID-19 data and food-ordering demand data collected from local restaurants in Nuevo Leon, Mexico, from April to October 2020, to show results for helping restaurants build contingency plans under rapid market changes. Our method can be used under unexpected demand surges, various infection/vaccination status, and demand patterns. Our results show that a restaurant can benefit from partnering with third-party delivery platforms when (i) the subscription fee is low, (ii) customers can flexibly decide whether to order from platforms or from restaurants directly, (iii) customers require more efficient delivery, (iv) average delivery distance is long, or (v) demand variance is high.

Research on the Fluctuation Characteristics of Social Media Message Sentiment with Time Before and During the COVID-19 Epidemic

“Tree hole” refers to a social media formed after the death of a social media user, in which other users continue to leave messages due to emotional resonance. This paper focuses on exploring the fluctuation of emotions with time in a “tree hole” of social media such as Microblog, and provides ideas and support for suicide warning, rescue, and user portraits of patients with depression in the “tree hole”. In this paper, the dataset of 2,356,066 messages captured from the “tree hole” Microblog with the “tree hole” agent (i.e., an AI program) and pre-processed. Subsequently, the effective dataset was labeled by a text sentiment analysis model based on BERT and BiLSTM, and accordingly the sentiment was scored. Then the scored data was visualized and analyzed in the time dimension. Finally, it was found that the sentiment of the “tree hole” messages reached a trough at 4:00 am and a peak around 8:00 am. In addition, the overall trend of “tree hole” sentiment has fluctuated downwards from Monday to Sunday. We have concluded that the sentiment of patients with depression fluctuates regularly at some special time points, and special events such as the outbreak of COVID-19 and so on, have a great impact on the emotions of patients with depression. Therefore, it is necessary to strengthen warning and intervention for those who has expressed thoughts of suicide at special points to prevent the spread and fermentation of suicidal emotions in the “tree hole” in time. In addition, the rescue volunteers for patients with depression as Tree Hole Rescue Team should make corresponding adjustments to the rescue strategy when special events occur. This research is of great significance for the emergency response of “tree hole” depressed users in major events such as COVID-19 epidemic. © 2021, Springer Nature Switzerland AG.

441 Cutaneous findings in COVID-19 patients hospitalized at a large urban academic medical center

Background: Cutaneous manifestations have been associated with COVID-19 infection and their clinical significance in hospitalized patients remains unclear. Methods: A retrospective chart review of 1216 patients older than 18 years of age hospitalized with laboratory-confirmed SARS-CoV-2 infection from March 12, 2020 to May 31, 2020 at a large urban academic medical center. A keyword search query of patient records combined with manual chart review by at least two dermatologists identified a study group having cutaneous manifestations concurrent with COVID-19 infection, specifically between 14 days prior to admission and up to discharge. Results: 122 patients with 195 skin lesions concurrent with COVID-19 hospitalization were identified. Dermatology reviewers evaluated clinical photographs for 116 lesions (59.5%) and inpatient dermatology consultations for 42 lesions (21.5%). The most common cutaneous findings in patients with COVID-19 hospitalization were pressure injuries (n=118;60.5%) and morbilliform eruptions (n=33;16.9%). A very small number of patients (0.6%;n=7/1216) had exanthems occurring within 2 weeks of COVID-19 symptom onset. The majority of exanthems developed within 14 days of exposure to possible culprit drugs and beyond the 14-day window of COVID-19 symptom onset, making viral association unlikely. Conclusion: Skin lesions concurrent with COVID-19 hospitalization were most frequently linked to hospitalization-related factors, such as pressure injuries or drug-related exanthems, rather than due to novel pathologies related to SARS-CoV-2 itself.

[Investigation and exploration of online medical education carried out by Oral and Maxillofacial Deformity Group of Shanghai Ninth People's Hospital during the COVID-19 pandemic].

As the national key discipline and the initiator of oral and maxillofacial deformity group, the Department of Oral and Maxillofacial Surgery persisted in teaching, designed a novel teaching form combining theoretical knowledge and online software practice according to the characteristics of our discipline and carried out "cloud training" via the National Oral Telemedicine Education Platform. Ten lecturers, 325 theoretical students and 50 practical students were investigated by questionnaire in the present study with questions focusing on the geographical distribution and composition of personnel, etc. The results showed that the online course covered a wide range of students and achieved high acceptance and satisfaction rate. The first online software operation course was conducted in an orderly manner, with timely interaction between teachers and students. The students were able to master the design process skillfully. This "cloud training" has achieved good results, but there are still a series of problems that have yet to be resolved, such as network stalls and protection of intellectual property rights. Under the new form, the exploration and analysis of the new mode of online telemedicine specialist education will provide some practical reference for the National Clinical Research Center for Oral Diseases to carry out online telemedicine teaching in the future.

Effects of simulation training on COVID-19 control ability and psychological states of nurses in a children's hospital.

OBJECTIVE: This study aims to discuss the effects of simulation training on improving the pre-examination, triage, prevention, and control of coronavirus disease 2019 (COVID-19), explain the psychological states of pre-examination and triage staff in general hospitals during the COVID-19 epidemic, and analyze relevant influencing factors. This study may serve as a reference of psychological consultation services to medical staff. SUBJECTS AND METHODS: This study included 60 nurses assigned in the pre-examination department, fever clinics, and isolation wards of a general hospital from January 26th to February 1st, 2020. Before assuming the posts, the nurses received simulation training on the clinical reception of suspected patients with COVID-19. Operation skills of the nurses before and after the training were assessed. RESULTS: The percent of passing significantly increased from 65% before the training to 98.33% after training (p<0.05). Training also significantly relieved the anxiety and depression of the nurses (p<0.05). CONCLUSIONS: Scenario-simulation training can increase the emergency abilities of pediatric nurses in the prevention and control of the COVID-19 epidemic and relieve the anxiety of nurses.

SARS-Coronavirus Open Reading Frame-8b triggers intracellular stress pathways and activates NLRP3 inflammasomes. LID - 101

The SARS (severe acute respiratory syndrome) outbreak was caused by a coronavirus (CoV) named the SARS-CoV. SARS pathology is propagated both by direct cytotoxic effects of the virus and aberrant activation of the innate immune response. Here, we identify several mechanisms by which a SARS-CoV open reading frame (ORF) activates intracellular stress pathways and targets the innate immune response. We show that ORF8b forms insoluble intracellular aggregates dependent on a valine at residue 77. Aggregated ORF8b induces endoplasmic reticulum (ER) stress, lysosomal damage, and subsequent activation of the master regulator of the autophagy and lysosome machinery, Transcription factor EB (TFEB). ORF8b causes cell death in epithelial cells, which is partially rescued by reducing its ability to aggregate. In macrophages, ORF8b robustly activates the NLRP3 inflammasome by providing a potent signal 2 required for activation. Mechanistically, ORF8b interacts directly with the Leucine Rich Repeat domain of NLRP3 and localizes with NLRP3 and ASC in cytosolic dot-like structures. ORF8b triggers cell death consistent with pyroptotic cell death in macrophages. While in those cells lacking NLRP3 accumulating ORF8b cytosolic aggregates cause ER stress, mitochondrial dysfunction, and caspase-independent cell death. FAU - Shi, Chong-Shan

Research progress on prevention and treatment of cytokine storm with traditional Chinese medicine

Cytokine storm is an excessive immune process when the body is stimulated. The disease progresses rapidly with a high mortality and complicated pathogenesis. In the outbreak of coronavirus disease 2019 (COVID-19), the rapid deterioration of the condition of patient is closely related to the outbreak of cytokine storm in the body. The sixth edition of Diagnosis and Treatment of Novel Coronavirus Pneumonia also provides a traditional Chinese medicine treatment plan. This paper reviewed the pharmacological effects of traditional Chinese medicine in antigen clearance, immune modulation and tissue protection based on the source, process and harm of cytokine storm. Furthermore, traditional Chinese medicine is contributive in prevention and treatment of cytokine storm, which can provide valuable medication guidance for the treatment combining traditional Chinese and Western medicine in clinic. © 2020, Editorial Office of Chinese Traditional and Herbal Drugs. All right reserved.

Epidemiologic and clinical characteristics of 91 hospitalized patients with COVID-19 in Zhejiang, China: a retrospective, multi-centre case series.

BACKGROUND: Recent studies have focused on initial clinical and epidemiological characteristics of the coronavirus disease 2019 (COVID-19), which is the mainly revealing situation in Wuhan, Hubei. AIM: This study aims to reveal more data on the epidemiological and clinical characteristics of COVID-19 patients outside of Wuhan, Zhejiang, China. DESIGN: This study was a retrospective case series. METHODS: Eighty-eight cases of laboratory-confirmed and three cases of clinically confirmed COVID-19 were admitted to five hospitals in Zhejiang province, China. Data were collected from 20 January 2020 to 11 February 2020. RESULTS AND DISCUSSION: Of all 91 patients, 88 (96.70%) were laboratory-confirmed COVID-19 with throat swab samples that tested positive for SARS-Cov-2, three (3.30%) cases were clinically diagnosed. The median age of the patients was 50 (36.5-57) years, and female accounted for 59.34%. In this sample, 40 (43.96%) patients had contracted the disease from local cases, 31 (34.07%) patients had been to Wuhan/Hubei, eight (8.79%) patients had contacted with people from Wuhan, and 11 (12.09%) patients were diagnosed after having flown together in the same flight with no passenger that could later be identified as the source of infection. In particular within the city of Ningbo, 60.52% cases can be traced back to an event held in a temple. The most common symptoms were fever (71.43%), cough (60.44%) and fatigue (43.96%). The median of incubation period was 6 (interquartile range 3-8) days and the median time from the first visit to a doctor to the confirmed diagnosis was 1 (1-2) days. According to the chest computed tomography scans, 67.03% cases had bilateral pneumonia. CONCLUSIONS: Social activity cluster, family cluster and flying alongside with persons already infected with COVID-19 were how people got infected with COVID-19 in Zhejiang.