COVID-19 Virus Prediction Using CNN and Logistic Regression Classification Strategies

COVID-19 virus is certainly considered as one of the harmful viruses amongst all the illnesses in biological science. COVID-19 symptoms are fever, cough, sore throat, and headache. The paper gave a singular function for the prediction of most of the COVID-19 virus diseases and presented with the Convolutional Neural Networks and Logistic Regression which might be the supervised learning and gaining knowledge of strategies for most of COVID-19 virus diseases detection. The proposed system makes use of an 8-fold pass determination to get a correct result. The COVID-19 virus analysis dataset is taken from Microsoft Database, Kaggle, and UCI websites gaining knowledge of the repository. The proposed studies investigate Convolutional Neural Networks (CNN) and Logistic Regression (LR) about the usage of the UCI database, Kaggle, and Google Database Datasets. This paper proposed a hybrid method for COVID-19 virus, most disease analyses through reducing the dimensionality of capabilities the usage of Logistic Regression (LR), after which making use of the brand new decreased function dataset to Convolutional Neural Networks and Logistic regression. The proposed method received the accuracy of 78.82%, sensitiveness of 97.41%, and specialness of 98.73%. The overall performance of the proposed system is appraised thinking about performance, accuracy, error rate, sensitiveness, particularity, correlation and coefficient. The proposed strategies achieved the accuracy of 78.82% and 97.41% respectively through Convolutional Neural Networks and Logistic Regression.

Effects of Different Temperature and Time Durations of Virus Inactivation on Results of Real-time Fluorescence PCR Testing of COVID-19 Viruses

Summary:The novel coronavirus SARS-CoV-2 caused an outbreak of pneumonia in Wuhan,Hubei province of China in January 2020.This study aims to investigate the effects of different temperature and time durations of virus inactivation on the results of PCR testing for SARS-CoV-2.Twelve patients at the Renmin Hospital of Wuhan University suspected of being infected with SARS-CoV-2 were selected on February 13,2020 and throat swabs were taken.The swabs were stored at room tempcrature(20-25℃),then divided into aliquots and subjected to different temperature for different periods in order to inactivate the viruses(56℃for 30,45,60 min;65,70,80℃for 10,15,20 min).Control aliquots were stored at room temperature for 60 min.Then all aliquots were tested in a real-time fluorescence PCR using primers against SARS-CoV-2.Regardless of inactivation temperature and time,7 of 12 cases(58.3%)tested were positive for SARS-CoV-2 by PCR,and cycle threshold values were similar.These results suggest that virus inactivation parameters exert minimal infuence on PCR test results.Inactivation at 65℃for 10 min may be sufficient to ensure safe,reliable testing.

Practical Mitigation Strategies for Countering the Spread of Aerosolized COVID-19 Virus (SARS-CoV-2) Using Ventilation and HEPA Air Purifiers: A Literature Review

This paper assesses, through an extensive literature review, the use of ventilation and High-Efficiency Particulate Air (HEPA) purifiers as practical mitigation strategies for reducing the spread of aerosolized COVID-191 virus. HEPA is a well-defined standard by the U.S. Department of Energy for filters. The focus of the literature review was on indoor air quality (IAQ) and COVID-19, with a particular emphasis on classroom settings. The start of the review, January 2020, was chosen to coincide with the first cases of COVID-19 in North America. Although children under the age of 12 are currently not yet vaccinated, there is mounting pressure for a return to normal by the start of the new school year, 2021. Also, many classrooms lack pre-installed mechanical ventilation systems (Olsiewski et al., 2021);therefore, mitigation in classrooms often falls solely in the hands of teachers and students. Research shows that ventilation and air purification are essential tools to counter aerosolized transmission (<5 μm) of the COVID-19 virus. According to Curtius et al. (2020), the inhaled dose of particles containing virus RNA is six times lower when using air purifiers with an ACH (air changes per hour) of 5.7. However, ventilation and air purifiers are not replacements for masks, which remain vital for countering droplet (>5 μm) transmission. In addition, occupancy (i.e., number and proximity of people present in a given area) and group activity levels (e.g., talking, shouting, singing) play a critical role in viral transmission. Although natural ventilation by opening windows can be an essential strategy to help counter the spread of the virus, the level of ventilation offered by opening windows is largely uncontrollable as it is subject to weather conditions and building design. One must also consider the energy implications (i.e., loss of heat) that this strategy carries. Scientific evidence shows that varying levels of continuous and/or intermittent ventilation, either mechanical or natural, combined with the use of HEPA air purifiers, can provide a higher degree of protection than window access alone (Curtius et al., 2020). Systematic deployment of a hybrid mitigation strategy incorporating both ventilation and HEPA air purification in schools, offices, or other facilities offers a practical way to establish a safe re-opening of society in Canada.

Stochastic Model for the Spread of the COVID-19 Virus

The COVID-19 pandemic has become a great challenge to scientific, biological and medical research as well as to economic and social sciences. Hence, the objective of infectious disease modeling-based data analysis is to recover these dynamics of infectious disease spread and to estimate parameters that govern these dynamics. The random aspect of epidemics leads to the development of stochastic epidemiological models. We establish a stochastic combined model using numerical scheme Euler, Markov chain and Susceptible-Exposed-Infected-Recovery (SEIR) model. The combined SEIR model was used to predict how epidemics will develop and then to act accordingly. These COVID-19 data were analyzed from several countries such as Italy, Russia, USA and Iran.

Synthesis of Novel Virus-Like Mesoporous Silica-ZnO-Ag Nanoparticles and Quercetin Synergize with NIR Laser for Omicron Mutated Covid-19 Virus Infectious Diseases Treatment

This work shows that novel virus-like mesopore silica-zinc oxide/Ag nanoparticles (SZnOAg) synthesized and professionally collected on NIR laser irradiation with quercetin to improve the elimination the mutated virus as a biomedical application. A unique type of silica nanoparticles with a self-in- flating tubular surface has been successfully synthesized using a novel single-micelle epitaxial growth process. The properties of the nanoparticles can be tuned with respect to their core diameter, tubular length, and outer diameter. Due to their biomimetic appearance, they can rapidly transform living cells into virus-like particles, this SZnOAg nanomaterial has specific elimination effect on bacteriophage and Covid-19. Using epitaxial growth, we can construct virus-like structures that can be used for biomedicine applications. These nanomaterials and NIR laser could open the way to a new range of antiviral materials, due to the low-efficiency cellular uptake of current nanoparticles, their applications in the biomedical field are limited. Herein, it clearly shows that novel mesoporous silica nanoparticles can be easily exhibited superior cellular uptake property.

A Comparative Study of Myocardial Damage Caused by Novel Coronavirus Infection and Influenza A Virus Infection in Children during the COVID-19 Epidemic Period

Objective: To explore the comparative study of myocardial damage in children infected with COVID-19 and influenza A virus during the COVID-19 pandemic. Method: Retrospective analysis of myocardial injury caused by COVID-19 infection and influenza A virus infection in children during the COVID-19 from October 2022 to May 2023, including 106 cases of COVID-19 infection, that is, the COVID-19 group;And 164 cases of influenza A virus infection, namely, H1N1 group;Two groups were tested for various indicators of myocardial enzyme spectrum, and the situation of myocardial injury was compared between the two groups. Result: In the enrolled cases, there was no statistically significant difference in the prevalence rate of men and women in the COVID-19 group (P > 0.05);There was no statistically significant difference in the average age between men and women (P > 0.05);The comparison of the incidence rates between males and females in the H1N1 group showed a statistically significant difference (P 0.05);There was no statistically significant difference in the average age between the two groups of girls (P > 0.05). A comparison between two groups of various indicators of myocardial enzyme spectra showed that the results of AST, -HBDH and LDH were statistically significant (P 0.05). Conclusion: Both COVID-19 infection and influenza A virus infection in children have different degrees of myocardial damage, but COVID-19 infection causes more myocardial damage than influenza A virus infection, and influenza A virus is more prone to myocardial infarction, which deserves our attention.

Genetic and pathogenic characterization of new infectious bronchitis virus strains in the GVI-1 and GI-19 lineages isolated in central China

Avian infectious bronchitis(IB)is a highly contagious infectious disease caused by infectious bronchitis virus(IBV),which is prevalent in many countries worldwide and causes serious harm to the poultry industry.At present,many commercial IBV vaccines have been used for the prevention and control of IB;however,IB outbreaks occur frequently.In this study,two new strains of IBV,SX/2106 and SX/2204,were isolated from two flocks which were immunized with IBV H120 vaccine in central China.Phylogenetic and recombination analysis indicated that SX/2106,which was clustered into the GI-19 lineage,may be derived from recombination events of the GI-19 and GI-7 strains and the LDT3-A vaccine.Genetic analysis showed that SX/2204 belongs to the GVI-1 lineage,which may have originated from the recombination of the GI-13 and GVI-1 strains and the H120 vaccine.The virus cross-neutralization test showed that the antigenicity of SX/2106 and SX/2204 was different from H120.Animal experiments found that both SX/2106 and SX/2204 could replicate effectively in the lungs and kidneys of chickens and cause disease and death,and H120 immunization could not provide effective protection against the two IBV isolates.It is noteworthy that the pathogenicity of SX/2204 has significantly increased compared to the GVI-1 strains isolated previously,with a mortality rate up to 60%.Considering the continuous mutation and recombination of the IBV genome to produce new variant strains,it is important to continuously monitor epidemic strains and develop new vaccines for the prevention and control of IBV epidemics.

Etiology and pathogenesis of corona virus disease 2019 on the view of Chinese medicine

Traditional Chinese Medicine has played an important role in the prevention and treatment of the Corona Virus Disease 2019 epidemic.But in views of different TCM scholars there are different opinions about disease name,characteristic of etiology,law of pathogenesis about this epidemic.Based on related literatures,this article overviews of the characteristics of TCM etiology,law of pathogenesis and methods of syndrome differentiation,hoping to find research method that fit in with TCM clinical practice.Prerequisite of treatment is identifying the cause.The clinical manifestations of patients are important to TCM,and the etiological attributes can be inferred from the clinical manifestations.SARS-CoV-2 belongs to exogenous etiological factors,but there are different opinions about its characteristics of six pathogenic factors.Cold,Dampness,Warm,Dry,Toxin,Summer-heat,Wind,are all involved.Thus,different understanding of the pathogenesis and the law of transmission is caused.Such as cold and dampness hurt Yang,furthermore,consumed of Qi;dampness and toxin infected from external environment,turbid dampness produced inside the body;dryness affecting lungs and consume of Yin;warm-heat-turbid-toxin affected lungs,stomach and intestine;and then produced phlegm stagnation or blood stasis,furthermore consumed Qi and Yin.Based on those differences,methods of syndrome differentiation in treatment of COVID-19 are diverse,which contain pattern differentiation of zang-fu organs,pattern differentiation of Wei-defence,Qi,Ying nutrients and blood;pattern differentiation by the eight principles,and pattern differentiation of six meridians.Because of SARS-CoV-2 can spread to the whole country or even the whole world in a short period of time,its pathogenic nature should be roughly the same.So studying the treatment of COVID-19 based on clinical cases,refining the similarities and differences in the clinical presentation of patients with different subtypes during the epidemic,clarification of the etiologic attribution and evolutionary patterns of disease mechanisms,developing a comprehensive understanding of COVID-19 in Chinese medicine is needed.Furthermore,getting a full understanding of COVID-19,and providing reference for the prevention and treatment of unknown infectious diseases.

Risk factors and strategies for prevention of depression, anxiety and eating disorders among adolescents during the coronavirus disease 2019 (COVID-19) pandemic: a review

The purpose of this review is to identify prevalent trends and risk factors in depression,anxiety,and eating disorders in the adolescent population in the post coronavirus disease 2019(COvID-19)scenario.We examined the literature published on adolescent mental health since the COVID-19 pandemic.We chose to summarize studies published from 2019 to 2022,using bibliographic search tools.We developed criteria for selecting articles for our review using diagnostic indicators and keywords.Mental health conditions such as depression,anxiety and eating disorders are commonly prevalent in this population and have shown increasing rates in the past three years.Some risk factors associated with these diagnoses include reduction in social interaction,increased workloads,routine shifts,sleep quality,social media usage and parental involvement.Routines,sleep cycles,physical activity,and social media should all be considered as a part of prevention in this population.Approaches that seem to be successful include maintaining social ties and avoiding negative social media usage with harmful content.Increased global public awareness,as well as parental awareness,through media campaigns,is critical to slowing the spread of mental health challenges in adolescents and teenagers in the post-COvID-19 era.

Efficacy of Vaccine Protection Against COVID-19 Virus Infection in Patients with Chronic Liver Diseases

The outbreak of coronavirus disease 2019 (COVID-19) has resulted in significant morbidity and mortality worldwide. Vaccination against coronavirus disease 2019 is a use-ful weapon to combat the virus. Patients with chronic liver diseases (CLDs), including compensated or decompensated liver cirrhosis and noncirrhotic diseases, have a decreased immunologic response to coronavirus disease 2019 vaccines. At the same time, they have increased mortality if infected. Current data show a reduction in mortality when patients with chronic liver diseases are vaccinated. A suboptimal vac-cine response has been observed in liver transplant recipi-ents, especially those receiving immunosuppressive therapy, so an early booster dose is recommended to achieve a better protective effect. Currently, there are no clinical data com-paring the protective efficacy of different vaccines in patients with chronic liver diseases. Patient preference, availability of the vaccine in the country or area, and adverse effect profiles are factors to consider when choosing a vaccine. There have been reports of immune-mediated hepatitis after coronavi-rus disease 2019 vaccination, and clinicians should be aware of that potential side effect. Most patients who developed hepatitis after vaccination responded well to treatment with prednisolone, but an alternative type of vaccine should be considered for subsequent booster doses. Further prospec-tive studies are required to investigate the duration of immu-nity and protection against different viral variants in patients with chronic liver diseases or liver transplant recipients, as well as the effect of heterologous vaccination.

Hepatobiliary system and intestinal injury in new coronavirus infection(COVID-19):A retrospective study

BACKGROUND An important area of effective control of the coronavirus disease 19(COVID-19)pandemic is the study of the pathogenic features of severe acute respiratory syndrome coronavirus 2 infection,including those based on assessing the state of the intestinal microbiota and permeability.AIM To study the clinical features of the new COVID-19 in patients with mild and moderate severity at the stage of hospitalization,to determine the role of hepatobiliary injury,intestinal permeability disorders,and changes in the qualitative and quantitative composition of the microbiota in the development of systemic inflammation in patients with COVID-19.METHODS The study was performed in 80 patients with COVID-19,with an average age of 45 years,19 of whom had mild disease,and 61 had moderate disease severity.The scope of the examination included traditional clinical,laboratory,biochemical,instrumental,and radiation studies,as well as original methods for studying microbiota and intestinal permeability.RESULTS The clinical course of COVID-19 was studied,and the clinical and biochemical features,manifestations of systemic inflammation,and intestinal microbiome changes in patients with mild and moderate severity were identified.Intestinal permeability characteristics against the background of COVID-19 were evaluated by measuring levels of proinflammatory cytokines,insulin,faecal calprotectin,and zonulin.CONCLUSION This study highlights the role of intestinal permeability and microbiota as the main drivers of gastroenterological manifestations and increased COVID-19 severity.

Prediction System for Diagnosis and Detection of Coronavirus Disease-2019(COVID-19):A Fuzzy-Soft Expert System

In early December 2019,a new virus named“2019 novel coronavirus(2019-nCoV)”appeared in Wuhan,China.The disease quickly spread worldwide,resulting in the COVID-19 pandemic.In the currentwork,we will propose a novel fuzzy softmodal(i.e.,fuzzy-soft expert system)for early detection of COVID-19.Themain construction of the fuzzy-soft expert systemconsists of five portions.The exploratory study includes sixty patients(i.e.,fortymales and twenty females)with symptoms similar to COVID-19 in(Nanjing Chest Hospital,Department of Respiratory,China).The proposed fuzzy-soft expert systemdepended on five symptoms of COVID-19(i.e.,shortness of breath,sore throat,cough,fever,and age).We will use the algorithm proposed by Kong et al.to detect these patients who may suffer from COVID-19.In this way,the present system is beneficial to help the physician decide if there is any patient who has COVID-19 or not.Finally,we present the comparison between the present system and the fuzzy expert system.

May 2022 acute hepatitis outbreak,is there a role for COVID-19 and other viruses?

There has been an increasing number of reported cases of acute hepatitis of unknown origin in previously healthy children since first reported on March 31,2022.This clinical syndrome is identified by jaundice and markedly elevated liver enzymes with increased aspartate transaminase and/or alanine aminotransa-minase(greater than 500 IU/L).We conducted an inclusive literature review with respect to acute hepatitis outbreaks in children using the search terms acute hepatitis,outbreak,children,severe acute respiratory syndrome coronavirus 2(SARS-CoV-2),coronavirus disease 2019(COVID-19),and adenovirus.According to the cumulative data presented in four main studies,the median age is 4 years,with a male predominance(1.3:1).Jaundice was the most common clinical manifestation(69%),followed by vomiting(63%),anorexia(52.9%),diarrhea(47.2%),abdominal pain(39%),pyrexia(33.3%),pale stool(30%),and dark urine(30%).Coryza and lethargy were reported in 16.6%,while pruritus was reported in 2%of cases.Acute liver failure was observed in 25%of cases.The exact mechanism of this acute hepatitis outbreak is still not entirely clear.Adenoviruses and SARS-CoV-2 were detected in a significant number of patients.Coinfection with adenovirus and SARS-CoV-2 could be a possible underlying mechanism.However,other possible infections and mechanisms must be considered in the pathogenesis of this condition.Acute hepatitis of unknown origin in children has been a serious problem since the start of the COVID-19 pandemic but has not yet been sufficiently addressed.Many questions remain regarding the underlying mechanisms leading to acute liver failure in children,and it is likely that extensive future research is needed.

Diabetes Risk Factor and Its Relationship to Increasing Coronavirus (COVID-19) Mortality Rate in United States in 2019-2022: An Epidemiological Study

As an effort to understand the effect of diabetes on the increasing rate of COVID-19 infection, we embarked upon a detailed statistical analysis of various datasets that include COVID-19 infection and mortality rate, diabetes and diseases that may contribute to the severity and risk factor of diabetes in individuals and this impact on COVID-19 and the mortality rate. These diseases include respiratory diseases, cardiovascular diseases, and obesity. Equally significant is the statistical analysis on ethnicity, age, and sex on COVID-19 infection as well as mortality rate. Their possible contributions to increasing the severity and risk factor of diabetes as a risk to mortality to individuals who have COVID-19. Objectives: The ultimate objectives of this investigation are as follow: 1) Is there a risk factor of diabetes on COVID-19 infection and increasing mortality rate? 2) To what extent do other disease conditions that include, obesity, heart failure, and respiratory diseases influence the severity and risk factor of diabetes on increasing COVID-19 infection and mortality rate? 3) To what extent does age, race, and gender increase the mortality of COVID-19 and increase the severity and risk factor of diabetes on COVID-19 mortality rate? 4) How and why COVID-19 virus increases the risk of diabetes in children? 5) Diabetes and COVID-19: Who is most at Risk? Lastly, understanding the misconception of COVID-19 and diabetes.

Global pattern and determinants of coronavirus disease 2019(COVID-19)vaccine coverage and progression:a global ecological study

Background:Understanding and minimizing existing global coronavirus disease 2019(COVID-19)vaccination disparities is critical to global population health and eliminating health inequities.The study aims to investigate the disparities of vaccination coverage and progression and the associated economic and educational determinants to inform global COVID-19 vaccination strategies.Methods:COVID-19 vaccination coverage data from 206 countries used in the study were derived from“Our World in Data”website.After obtaining the vaccination coverage indicators,we fitted the progression indicators for vaccination.Correlation and multiple linear regression analysis were used to examine the effects of gross domestic product(GDP)per capita,Gini index,education,and their interactions on the coverage and progression of the COVID-19 vaccination.Results:The coverage of COVID-19 vaccination ranged from less than 30 doses to more than 150 doses per hun­dred people,from less than 15%to more than 75%for proportion of people vaccinated,from less than 15%to more than 60%for proportion of people fully vaccinated.Similarly,the progression of vaccination ranged from less than 0.1 to more than 0.6 for progression of total number of doses,from less than 0.1 to more than 0.3 for progression of proportion of people vaccinated,and from less than 0.1 to more than 0.4 for progression of propor­tion of people fully vaccinated.GDP per capita and education were positively associated with the coverage and progression,while Gini index was negatively associated with the coverage and progression.Negative interaction between GDP per capita and education was also observed for coverage(0=-0.012 to-0.011,P<0.05)and progression(0=-0.012 to-0.011,P<0.05).Conclusions:Substantial geographic disparities existed for the coverage and progression of COVID-19 vaccination.

Knowledge, Attitude, and Practice toward Coronavirus (Covid-19) among Laboratory & Nursing Students of Hadhramout University, in Mukalla City, Yemen

Background: As future healthcare providers, nursing students must have high-quality knowledge and be able to respond to rapid changes in any situation, such as the pandemic Covid-19. The condition of these students reflects the readiness of nursing students to face the increasing cases in the country. Since December 2019, coronavirus (Covid-19), a novel infectious disease that emerged, has spread worldwide, and the World Health Organization (WHO) has declared that the infection is a “pandemic” and no country or region can be considered safe. The World Health Organization declared the novel coronavirus a global health emergency (pandemic) on January 30, 2020. The novel coronavirus is a highly contagious disease, and the current outbreak has affected a large portion of the population around the world. Public health and social interventions play a critical role in reducing the number of infections and deaths until the vaccine is available to all. Objective: To determine the knowledge, attitude, and practice toward Coronavirus (Covid-19) among Laboratory & Nursing students of Hadhramout University, in Mukalla City, Yemen. Methods: This was a descriptive cross-sectional. Stratified random sampling is used in sample selection to ensure that laboratory and nursing students total of 130 (70, 60) were included in the study. The sample was randomly selected from one hundred students, 50 laboratory students, and 50 nursing students studying at Hadhramout College. Time of study from October to December 2021. Results: The statistical analysis of data collected in this study showed that the awareness of coronavirus knowledge was high, as indicated by the percentage of correct answers. 78% of the nursing students obtained the highest percentage of knowledge about coronavirus, while more than 75% of the laboratory students, relied on social media as their main source of Covid-19 information. The College of Nursing students got the highest percentage of resource information about the Coronavirus 44%. Also we reported negative attitudes in general among nursing students and laboratory students at Hadhramout University, with 31% and 35% of nursing students and laboratory students respectively. On the other hands, we noted that (39%) of nursing students received a greater percentage of practice about Coronavirus than (37%) of laboratory students. So, they had a negative practice in general. Conclusion: The present study shows that knowledge about coronavirus is high, but attitudes and practices toward coronavirus (Covid-19) among laboratory and nursing students at Hadhramout University in Mukalla, Yemen, are generally negative.

Huu S. TIEU’s Predicting Outcome of Severe Acute Respiratory Syndrome (SARS) and Preparing the Treatment for COVID-19 (Coronavirus) and Other Viral Pandemics

This project paper is to give a prediction for the future of other viral pandemics and to provide recommendations for preparing therapies that could help in the success of effective treatments and benefits for patients in life-threatening situations. The theory of prediction was proposed by Huu S. TIEU on March 25, 2019, and he hypothesized that any malfunctioning cell in the body could have a damaging effect. This paper discusses the prediction that Localized Oxygen Deprivation could be a contributing factor for a future epidemic or other viral pandemics that could affect body function. This paper is based on opinion and does not have sufficient evidence to support the claims made. Therefore, further in-depth study is needed to prove the findings. The author cites Hypoxia to support his idea, but he is not claiming that Hypoxia-Inducible Factor (HIF) has worked on his predictions. The author also tested a theory using cow blood curd for body function, but this test was not a structured test and the findings were not supported by other evidence. To further prove the idea or theory, further study into the subject should be conducted.

Current status and future challenges with Coronavirus(COVID-19):an update on vaccines

SARS-COV-2 coronavirus causes COVID-19,which is a respiratory disease.COVID-19,the common cold,seasonal allergies,and the flu have many similar symptoms.COVID-19 is caused by SARS-CoV-2,while rhinoviruses most often cause the common cold.The World Health Organization issued notifications on December 30,2019,and January 30,2020,classifying this viral disease as a Public Health Emergency of International Concern.SARS-CoV-2 was detected in humans and animals in 2019.Several investigations are underway to cure COVID-19 and develop a vaccine to prevent infection with SARS-CoV-2.Several COVID-19 vaccines have now been approved or licensed for human use(SII/Covishield,AstraZeneca/AZD1222,Janssen/Ad26.COV 2.S,Sinopharm,Moderna,Sinovac-CoronaVac,Covaxin).Four issues arise in the research and manufacture of the COVID-19 vaccine:production,affordability,allocation and deployment.The adenovirus-vectored and mRNA-based vaccines for COVID-19 showed the highest efficacy after the first and second doses,respectively.The mRNA-based vaccines had higher side effects.Remarkably few experienced extreme adverse effects and all stimulated robust immune responses.

The pharmacological mechanism and molecular details of Platycodon grandiflorum in the treatment of novel coronavirus Pneumonia(COVID-19)

Background:Novel coronavirus pneumonia(COVID-19)has developed as a pandemic of global concern.There is an urgent need to develop effective and safe therapies.Platycodon grandiflorum(PG),one of the most famous traditional Chinese herbs,may be satisfied.In this study,we explored the pharmacological mechanism of PG in the treatment of COVID-19.Method:The active compounds and potential targets were acquired from public databases.The protein-protein interaction,the Gene Ontology,and the Kyoto Encyclopedia of Genes and Genomes were determined through bioinformatics analysis.Molecular docking and molecular dynamics were performed to further verify the findings.Result:A total of 38 bioactive ingredients and 276 gene targets of PG were identified.There were 78 intersected targets of PG and COVID-19.The network analysis revealed that luteolin,Platycogenic acid A,Platycogenic acid C,Polygalacic acid,and acacetin may be candidate agents.The AKT1,VEGFA,TP53,MAPK3,TNF,IL6,CASP3,EGFR,STAT3,and CCND1 were the important potential drug targets.Gene Ontology terms are involved in biological processes,which are mainly concentrated in inorganic substances and apoptosis,etc.The Kyoto Encyclopedia of Genes and Genomes pathway was involved in several aspects,such as Virus infection and immune regulation-related pathways.Molecular docking results showed that compounds of PG are closely bound to related targets.Molecular dynamics further found that Robin,Flavplatycoside,and dimethyl 3-O-β-D-glucopyranosylplatycogenate A can maintain good stability and flexibility in the composite system.Conclusion:PG has multicomponent,multitarget,and multichannel characteristics,which can provide an important theoretical basis to treat patients with COVID-19.

基于CiteSpace及VOSviewer的COVID-19相关心律失常的文献计量学分析

目的:分析新型冠状病毒感染(COVID-19)相关心律失常的文献,探索该领域的研究现状、热点并预测未来的趋势,为后来的研究者提供借鉴。方法:选择Web of Science的核心合集数据库,每项研究都进行了文献计量和视觉分析,使用CiteSpace和VOSviewer软件生成知识图谱。结果:共鉴定出768篇文章,发文涉及美国、意大利和中国为首的319个国家/地区和4 366个机构,领先的研究机构是梅奥诊所和哈佛医学院。New England Journal of Medicine是该领域最常被引用的期刊。在6 687位作者中,Arbelo Elena撰写的研究最多,Guo T被共同引用的次数最多,心房纤颤是最常见的关键词。结论:随着COVID-19的暴发,对COVID-19所致新发/进行性心律失常事件的研究蓬勃发展,未来的研究者可能会对COVID-19感染后新发或遗留的快速性心律失常/缓慢性心律失常的发生机制进行进一步的探索。