In response to the COVID-19,social media big data has played an important role in epidemic warning,tracking the source of infection,and public opinion monitoring,providing strong technical support for China’s epidemi...In response to the COVID-19,social media big data has played an important role in epidemic warning,tracking the source of infection,and public opinion monitoring,providing strong technical support for China’s epidemic prevention and control work.The paper used Sina Weibo posts related to COVID-19 hashtags as the data source,and built a BERT-CNN deep learning model to perform fine-grained and high-precision topic classificationon massive social media posts.Taking Shenzhen as a region of interest,we mined the“epidemic data bulletin”and“daily life impact”posts during the epidemic for spatial analysis.The results show that the confirmed communities and designated hospitals in Shenzhen as a whole present the characteristics of“sparse east and dense west”,and there is a strong positive spatial correlation between the number of confirmed cases and social media response.Specifically,Nanshan District,Futian District and Luohu District have more confirmed cases due to large population movements and dense transportation networks,and social media has responded more violently,and people’s lives have been greatly affected.However,Yantian District,Pingshan District and Dapeng New District showed opposite characteristics.The case study results further show that using deep learning methods to mine text information in social media is scientifically feasible for improving situational awareness and decision support during the COVID-19.展开更多
Coronavirus disease(COVID-19)is an highly infectious respiratory disease caused by a newly discovered coronavirus.Most people infected by the COVID-19 virus will experience mild to moderate respiratory illness and rec...Coronavirus disease(COVID-19)is an highly infectious respiratory disease caused by a newly discovered coronavirus.Most people infected by the COVID-19 virus will experience mild to moderate respiratory illness and recover without requiring special treatment;a portion of infected people may die.Under coronavirous disease pandemic situation,human normal life,movement and business has been disturbed due to lockdown and closing of shopping malls and business centers in the city.Nowadays,e-commerce is a vigorous tool for diminishing streaming business processes,cycle time,organizational costs,stay at home,maintain social distancing,protect from virus,and enlightening associations with both shoppers and business partners.The research investigated the buying behavior of Bangladeshi shoppers under coronavirus disease(COVID-19)pandemic situation in case of online perspective.The research reconnoitered the impact of five aspects:health aspect,price aspect,product aspect,trust aspect,and place aspect on online buying behavior under coronavirus disease(COVID-19)pandemic situation in Bangladesh.Data were collected through a structured questionnaire by online survey method from 155 samples which encompass online shoppers in country.Simple random sampling technique were used.Data were analyzed using factor analysis,reliability analysis,and multiple regression analysis.Findings revealed that four out of five aspects:health aspect,price aspect,product aspect,and place aspect had a positive and significant influence on online buying behavior under coronavirus disease(COVID-19)pandemic situation in the perspective of Bangladesh.The assessment generates responsiveness among online practicing companies,researchers,managers,shoppers,and prospects online buyers.Online functioning businesses could be a successful leading aspects for explaining online buying behavior under coronavirus disease(COVID-19)pandemic situation in the context of Bangladesh.展开更多
Like rest of the world,the South Asian region is facing enormous challenges with the coronavirus disease 2019(COVID-19)pandemic.The socio-economic context of the eight South Asian countries is averse to any longterm l...Like rest of the world,the South Asian region is facing enormous challenges with the coronavirus disease 2019(COVID-19)pandemic.The socio-economic context of the eight South Asian countries is averse to any longterm lockdown program,but the region still observed stringent lockdown close to two months.This paper analyzed major measures in public health preparedness and responses in those countries in the pandemic.The research was based on a situation analysis to discuss appropriate plan for epidemic preparedness,strategies for prevention and control measures,and adequate response management mechanism.Based on the data from March 21 to June 26,2020,it appeared lockdown program along with other control measures were not as effective to arrest the exponential growth of fortnightly COVID-19 cases in Afghanistan,Bangladesh,India,Nepal and Pakistan.However,Bhutan,Maldives and Sri Lanka have been successfully limiting the spread of the disease.The in-depth analysis of prevention and control measures espoused densely populated context of South Asia needs community-led intervention strategy,such as case containment,in order to reverse the growing trend,and adopt the policy of mitigation instead of suppression to formulate COVID-19 action plan.On the other hand,mechanism for response management encompassed a four-tier approach of governance to weave community-led local bodies with state,national and international governance actors for enhancing the countries’emergency operation system.It is concluded resource-crunch countries in South Asia are unable to cope with the disproportionate demand of capital and skilled health care workforce at the time of the pandemic.Hence,response management needs an approach of governance maximization instead of resource maximization.The epidemiologic management of population coupled with suitable public health prevention and control measures may be a more appropriate strategy to strike a balance between economy and population health during the time of pandemic.展开更多
As the COVID-19 pandemic swept the globe,social media plat-forms became an essential source of information and communication for many.International students,particularly,turned to Twitter to express their struggles an...As the COVID-19 pandemic swept the globe,social media plat-forms became an essential source of information and communication for many.International students,particularly,turned to Twitter to express their struggles and hardships during this difficult time.To better understand the sentiments and experiences of these international students,we developed the Situational Aspect-Based Annotation and Classification(SABAC)text mining framework.This framework uses a three-layer approach,combining baseline Deep Learning(DL)models with Machine Learning(ML)models as meta-classifiers to accurately predict the sentiments and aspects expressed in tweets from our collected Student-COVID-19 dataset.Using the pro-posed aspect2class annotation algorithm,we labeled bulk unlabeled tweets according to their contained aspect terms.However,we also recognized the challenges of reducing data’s high dimensionality and sparsity to improve performance and annotation on unlabeled datasets.To address this issue,we proposed the Volatile Stopwords Filtering(VSF)technique to reduce sparsity and enhance classifier performance.The resulting Student-COVID Twitter dataset achieved a sophisticated accuracy of 93.21%when using the random forest as a meta-classifier.Through testing on three benchmark datasets,we found that the SABAC ensemble framework performed exceptionally well.Our findings showed that international students during the pandemic faced various issues,including stress,uncertainty,health concerns,financial stress,and difficulties with online classes and returning to school.By analyzing and summarizing these annotated tweets,decision-makers can better understand and address the real-time problems international students face during the ongoing pandemic.展开更多
Looking back on the U.S.epidemic situation the past two and a half years.The Trump administration’s previous policy of"non-resistance to the novel coronavirus disease 2019(COVID-19)"resulted in the loss of ...Looking back on the U.S.epidemic situation the past two and a half years.The Trump administration’s previous policy of"non-resistance to the novel coronavirus disease 2019(COVID-19)"resulted in the loss of control of the COVID-19(coronavirus disease 2019)epidemic,rising deaths,and economic shrinking.Behaviors such as racism and xenophobia against Asian descent have become increasingly apparent in the United States and globally.When people are struggling to cope with the raging epidemic of the COVID-19 epidemic and are eager to return to normal life and work as soon as possible,the recognition of human universal values and mutual respect among various races are particularly important.Racism and xenophobia have caused a series of inequalities.The COVID-19 epidemic pandemic requires special attention and vigilance.On February 12,2021,the new U.S.President Biden,in his video congratulating the traditional Chinese New Year,addressed racism,harassment and hatred.U.S.President Joe Biden said,"This is completely wrong.Everyone,regardless of their race.Whatever the language,background,religion,or language they speak,they all deserve equal treatment and due dignity."It is hoped that the new US President(Joseph Robinette Biden)can eliminate the"white supremacy"racism and promote equality and harmony among all races.This paper analyzes the historical roots of racial discrimination in the United States,especially the suffering of Chinese Americans.展开更多
Objective:To understand the status of nursing students'professional attitudes,professional identity,and employment intention under the new coronary pneumonia pandemic,and to analyze the factors influencing nursing...Objective:To understand the status of nursing students'professional attitudes,professional identity,and employment intention under the new coronary pneumonia pandemic,and to analyze the factors influencing nursing students'employment intention.Methods:A cross-sectional survey was conducted on 689 nursing students using a questionnaire,and the results were analyzed by multiple unordered and ordered regressions.Results:47.17%of the nursing students chose to work in clinical nursing in the future;95.5%of the nursing students preferred to work in Grade III class hospital hospitals;0.73%of the nursing students actively chose to work in the infectious disease unit in the background of COVID-19 pandemic.In the analysis of professional attitudes,female nursing students scored higher than male nursing students;Senior students and above scored significantly higher than junior nursing students;nursing students who had internship experience scored higher than those who had not;nursing students who had someone close to them who was involved in the rescue work of the COVID-19 pandemic scored higher in professional attitudes.Regression analysis showed that the higher the professional identity score,the more likely the nursing students were to choose a nursing-related job and expect a higher salary;nursing students who chose nursing because it was easy to find a job,followed the advice of others,or had a family income of less than 3000 yuan per capita also expected a higher salary.In the context of the pandemic,nursing students with high career attitude scores were less likely to choose clinical nursing jobs;students without nursing practitioners at home were less likely to choose hospitals and health management organizations;nursing students with high career identity were more likely to choose Grade III class hospitals.Conclusion:The outbreak of COVID-19 has influenced the employment intention of nursing students,in the background of pandemic,about half of them still choose to engage in clinical nursing work;most of them recognize the outstanding contribution and professional value of nurses in the fight against epidemic.Meanwhile,through this research,it is believed that nursing students at school have insufficient awareness of infectious diseases and other public health emergencies.It is recommended that relevant colleges and universities strengthen knowledge and related courses on the prevention and control of infectious diseases and public health emergency events.展开更多
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VOSvie...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。展开更多
目的分析COVID-19疫情暴发前后不同国家经季节和日历调整后的生育率(seasonally and calendar adjusted fertility rate,SAFR)趋势的变化及其影响因素。方法使用国际人类生育力数据库(Human Fertility Database,HFD)中28个国家自2012年...目的分析COVID-19疫情暴发前后不同国家经季节和日历调整后的生育率(seasonally and calendar adjusted fertility rate,SAFR)趋势的变化及其影响因素。方法使用国际人类生育力数据库(Human Fertility Database,HFD)中28个国家自2012年1月至2022年12月的月度SAFR数据,以2020年12月(2020年3月疫情暴发起点加9个月妊娠过程)为节点划分为疫情前(2012.1-2020.11)和疫情后(2020.12-2022.12)进行比较,使用中断时间序列方法分析各国疫情前后的SAFR趋势(短期波动和长期趋势)是否发生变化,使用秩和检验分析疫情前SAFR、人均GDP、公共卫生和社会措施(public health and social measures,PHSM)和失业率是否与SAFR趋势变化有关。结果疫情后28个国家中19个国家的SAFR出现短期下降,随后反弹。对于长期趋势,2个国家由下降趋势转为上升趋势,8个国家由上升趋势转为下降趋势,6个国家的SAFR保持不变。SAFR变化率下降主要集中在部分中欧国家以及地中海西岸的国家,而SAFR变化率增加的国家主要分布在北欧以及西欧地区。SAFR无短期波动的国家疫情前的SAFR低于有短期波动的国家(P=0.041),SAFR变化率下降国家的疫情前SAFR(P=0.005)与人均GDP(P=0.027)均低于SAFR变化率上升国家。未发现SAFR短期波动或长期趋势与PHSM严重程度指数或失业率存在关联。结论COVID-19疫情对28个国家的SAFR造成了不同的短期和长期影响,特别是经济水平和疫情前SAFR相对较低的国家可能更易遭到进一步打击。COVID-19疫情对各国人口的更长期影响值得进一步关注。展开更多
BACKGROUND Psychological assessment after intensive care unit(ICU)discharge is increasingly used to assess patients'cognitive and psychological well-being.However,few studies have examined those who recovered from...BACKGROUND Psychological assessment after intensive care unit(ICU)discharge is increasingly used to assess patients'cognitive and psychological well-being.However,few studies have examined those who recovered from coronavirus disease 2019(COVID-19).There is a paucity of data from the Middle East assessing the post-ICU discharge mental health status of patients who had COVID-19.AIM To evaluate anxiety and depression among patients who had severe COVID-19.METHODS This is a prospective single-center follow-up questionnaire-based study of adults who were admitted to the ICU or under ICU consultation for>24 h for COVID-19.Eligible patients were contacted via telephone.The patient’s anxiety and depression six months after ICU discharge were assessed using the Hospital Anxiety and Depression Scale(HADS).The primary outcome was the mean HADS score.The secondary outcomes were risk factors of anxiety and/or depression.RESULTS Patients who were admitted to the ICU because of COVID-19 were screened(n=518).Of these,48 completed the questionnaires.The mean age was 56.3±17.2 years.Thirty patients(62.5%)were male.The main comorbidities were endocrine(n=24,50%)and cardiovascular(n=21,43.8%)diseases.The mean overall HADS score for anxiety and depression at 6 months post-ICU discharge was 11.4(SD±8.5).A HADS score of>7 for anxiety and depression was detected in 15 patients(30%)and 18 patients(36%),respectively.Results from the multivariable ordered logistic regression demonstrated that vasopressor use was associated with the development of anxiety and depression[odds ratio(OR)39.06,95% confidence interval:1.309-1165.8;P<0.05].CONCLUSION Six months after ICU discharge,30% of patients who had COVID-19 demonstrated a HADS score that confirmed anxiety and depression.To compare the psychological status of patients following an ICU admission(with vs without COVID-19),further studies are warranted.展开更多
BACKGROUND Metabolic dysfunction-associated steatotic liver disease(MASLD),characterised by hepatic lipid accumulation,causes inflammation and oxidative stress accompanied by cell damage and fibrosis.Liver injury(LI)i...BACKGROUND Metabolic dysfunction-associated steatotic liver disease(MASLD),characterised by hepatic lipid accumulation,causes inflammation and oxidative stress accompanied by cell damage and fibrosis.Liver injury(LI)is also frequently reported in patients hospitalised with coronavirus disease 2019(COVID-19),while preexisting MASLD increases the risk of LI and the development of COVID-19-associated cholangiopathy.Mechanisms of injury at the cellular level remain unclear,but it may be significant that severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)which causes COVID-19,uses angiotensin-converting expression enzyme 2(ACE2),a key regulator of the‘anti-inflammatory’arm of the renin-angiotensin system,for viral attachment and host cell invasion.AIM To determine if hepatic ACE2 levels are altered during progression of MASLD and in patients who died with severe COVID-19.METHODS ACE2 protein levels and localisation,and histological fibrosis and lipid droplet accumulation as markers of MASLD were determined in formalin-fixed liver tissue sections across the MASLD pathological spectrum(isolated hepatocellular steatosis,metabolic dysfunction-associated steatohepatitis(MASH)+/-fibrosis,end-stage cirrhosis)and in post-mortem tissues from patients who had died with severe COVID-19,using ACE2 immunohistochemistry and haematoxylin and eosin and picrosirius red staining of total collagen and lipid droplet areas,followed by quantification using machine learning-based image pixel classifiers.RESULTS ACE2 staining is primarily intracellular and concentrated in the cytoplasm of centrilobular hepatocytes and apical membranes of bile duct cholangiocytes.Strikingly,ACE2 protein levels are elevated in non-fibrotic MASH compared to healthy controls but not in the progression to MASH with fibrosis and in cirrhosis.ACE2 protein levels and histological fibrosis are not associated,but ACE2 and liver lipid droplet content are significantly correlated across the MASLD spectrum.Hepatic ACE2 levels are also increased in COVID-19 patients,especially those showing evidence of LI,but are not correlated with the presence of SARS-CoV-2 virus in the liver.However,there is a clear association between the hepatic lipid droplet content and the presence of the virus,suggesting a possible functional link.CONCLUSION Hepatic ACE2 levels were elevated in nonfibrotic MASH and COVID-19 patients with LI,while lipid accumulation may promote intra-hepatic SARS-CoV-2 replication,accelerating MASLD progression and COVID-19-mediated liver damage.展开更多
Background:Solid organ transplant(SOT)activities,such as liver transplant,have been greatly influenced by the pandemic of coronavirus disease 2019(COVID-19),a disease caused by severe acute respiratory syndrome corona...Background:Solid organ transplant(SOT)activities,such as liver transplant,have been greatly influenced by the pandemic of coronavirus disease 2019(COVID-19),a disease caused by severe acute respiratory syndrome coronavirus 2(SARS-CoV-2).Immunosuppressed individuals of liver transplant recipients(LTRs)tend to have a high risk of COVID-19 infection and related complications.Therefore,COVID-19 vaccination has been recommended to be administered as early as possible in LTRs.Data sources:The keywords“liver transplant”,“SARS-CoV-2”,and“vaccine”were used to retrieve articles published in PubMed.Results:The antibody response following the 1st and 2nd doses of vaccination was disappointingly low,and the immune responses among LTRs remarkably improved after the 3rd or 4th dose of vaccination.Although the 3rd or 4th dose of COVID-19 vaccine increased the antibody titer,a proportion of patients remained unresponsive.Furthermore,recent studies showed that SARS-CoV-2 vaccine could trigger adverse events in LTRs,including allograft rejection and liver injury.Conclusions:This review provides the recently reported data on the antibody response of LTRs following various doses of vaccine,risk factors for poor serological response and adverse events after vaccination.展开更多
The distribution of the immune system throughout the body complicates in vitro assessments of coronavirus disease 2019(COVID-19)immunobiology,often resulting in a lack of reproducibility when extrapolated to the whole...The distribution of the immune system throughout the body complicates in vitro assessments of coronavirus disease 2019(COVID-19)immunobiology,often resulting in a lack of reproducibility when extrapolated to the whole organism.Consequently,developing animal models is imperative for a comprehensive understanding of the pathology and immunology of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)infection.This review summarizes current progress related to COVID-19 animal models,including non-human primates(NHPs),mice,and hamsters,with a focus on their roles in exploring the mechanisms of immunopathology,immune protection,and long-term effects of SARS-CoV-2 infection,as well as their application in immunoprevention and immunotherapy of SARS-CoV-2 infection.Differences among these animal models and their specific applications are also highlighted,as no single model can fully encapsulate all aspects of COVID-19.To effectively address the challenges posed by COVID-19,it is essential to select appropriate animal models that can accurately replicate both fatal and non-fatal infections with varying courses and severities.Optimizing animal model libraries and associated research tools is key to resolving the global COVID-19 pandemic,serving as a robust resource for future emerging infectious diseases.展开更多
基金Science&Technology Department of Sichuan Province(No.21ZDYF2090)。
文摘In response to the COVID-19,social media big data has played an important role in epidemic warning,tracking the source of infection,and public opinion monitoring,providing strong technical support for China’s epidemic prevention and control work.The paper used Sina Weibo posts related to COVID-19 hashtags as the data source,and built a BERT-CNN deep learning model to perform fine-grained and high-precision topic classificationon massive social media posts.Taking Shenzhen as a region of interest,we mined the“epidemic data bulletin”and“daily life impact”posts during the epidemic for spatial analysis.The results show that the confirmed communities and designated hospitals in Shenzhen as a whole present the characteristics of“sparse east and dense west”,and there is a strong positive spatial correlation between the number of confirmed cases and social media response.Specifically,Nanshan District,Futian District and Luohu District have more confirmed cases due to large population movements and dense transportation networks,and social media has responded more violently,and people’s lives have been greatly affected.However,Yantian District,Pingshan District and Dapeng New District showed opposite characteristics.The case study results further show that using deep learning methods to mine text information in social media is scientifically feasible for improving situational awareness and decision support during the COVID-19.
文摘Coronavirus disease(COVID-19)is an highly infectious respiratory disease caused by a newly discovered coronavirus.Most people infected by the COVID-19 virus will experience mild to moderate respiratory illness and recover without requiring special treatment;a portion of infected people may die.Under coronavirous disease pandemic situation,human normal life,movement and business has been disturbed due to lockdown and closing of shopping malls and business centers in the city.Nowadays,e-commerce is a vigorous tool for diminishing streaming business processes,cycle time,organizational costs,stay at home,maintain social distancing,protect from virus,and enlightening associations with both shoppers and business partners.The research investigated the buying behavior of Bangladeshi shoppers under coronavirus disease(COVID-19)pandemic situation in case of online perspective.The research reconnoitered the impact of five aspects:health aspect,price aspect,product aspect,trust aspect,and place aspect on online buying behavior under coronavirus disease(COVID-19)pandemic situation in Bangladesh.Data were collected through a structured questionnaire by online survey method from 155 samples which encompass online shoppers in country.Simple random sampling technique were used.Data were analyzed using factor analysis,reliability analysis,and multiple regression analysis.Findings revealed that four out of five aspects:health aspect,price aspect,product aspect,and place aspect had a positive and significant influence on online buying behavior under coronavirus disease(COVID-19)pandemic situation in the perspective of Bangladesh.The assessment generates responsiveness among online practicing companies,researchers,managers,shoppers,and prospects online buyers.Online functioning businesses could be a successful leading aspects for explaining online buying behavior under coronavirus disease(COVID-19)pandemic situation in the context of Bangladesh.
基金supported by the National Natural Science Foundation of China(No.72042014).
文摘Like rest of the world,the South Asian region is facing enormous challenges with the coronavirus disease 2019(COVID-19)pandemic.The socio-economic context of the eight South Asian countries is averse to any longterm lockdown program,but the region still observed stringent lockdown close to two months.This paper analyzed major measures in public health preparedness and responses in those countries in the pandemic.The research was based on a situation analysis to discuss appropriate plan for epidemic preparedness,strategies for prevention and control measures,and adequate response management mechanism.Based on the data from March 21 to June 26,2020,it appeared lockdown program along with other control measures were not as effective to arrest the exponential growth of fortnightly COVID-19 cases in Afghanistan,Bangladesh,India,Nepal and Pakistan.However,Bhutan,Maldives and Sri Lanka have been successfully limiting the spread of the disease.The in-depth analysis of prevention and control measures espoused densely populated context of South Asia needs community-led intervention strategy,such as case containment,in order to reverse the growing trend,and adopt the policy of mitigation instead of suppression to formulate COVID-19 action plan.On the other hand,mechanism for response management encompassed a four-tier approach of governance to weave community-led local bodies with state,national and international governance actors for enhancing the countries’emergency operation system.It is concluded resource-crunch countries in South Asia are unable to cope with the disproportionate demand of capital and skilled health care workforce at the time of the pandemic.Hence,response management needs an approach of governance maximization instead of resource maximization.The epidemiologic management of population coupled with suitable public health prevention and control measures may be a more appropriate strategy to strike a balance between economy and population health during the time of pandemic.
基金supported by the National Natural Science Foundation of China[Grant Number:92067106]the Ministry of Education of the People’s Republic of China[Grant Number:E-GCCRC20200309].
文摘As the COVID-19 pandemic swept the globe,social media plat-forms became an essential source of information and communication for many.International students,particularly,turned to Twitter to express their struggles and hardships during this difficult time.To better understand the sentiments and experiences of these international students,we developed the Situational Aspect-Based Annotation and Classification(SABAC)text mining framework.This framework uses a three-layer approach,combining baseline Deep Learning(DL)models with Machine Learning(ML)models as meta-classifiers to accurately predict the sentiments and aspects expressed in tweets from our collected Student-COVID-19 dataset.Using the pro-posed aspect2class annotation algorithm,we labeled bulk unlabeled tweets according to their contained aspect terms.However,we also recognized the challenges of reducing data’s high dimensionality and sparsity to improve performance and annotation on unlabeled datasets.To address this issue,we proposed the Volatile Stopwords Filtering(VSF)technique to reduce sparsity and enhance classifier performance.The resulting Student-COVID Twitter dataset achieved a sophisticated accuracy of 93.21%when using the random forest as a meta-classifier.Through testing on three benchmark datasets,we found that the SABAC ensemble framework performed exceptionally well.Our findings showed that international students during the pandemic faced various issues,including stress,uncertainty,health concerns,financial stress,and difficulties with online classes and returning to school.By analyzing and summarizing these annotated tweets,decision-makers can better understand and address the real-time problems international students face during the ongoing pandemic.
文摘Looking back on the U.S.epidemic situation the past two and a half years.The Trump administration’s previous policy of"non-resistance to the novel coronavirus disease 2019(COVID-19)"resulted in the loss of control of the COVID-19(coronavirus disease 2019)epidemic,rising deaths,and economic shrinking.Behaviors such as racism and xenophobia against Asian descent have become increasingly apparent in the United States and globally.When people are struggling to cope with the raging epidemic of the COVID-19 epidemic and are eager to return to normal life and work as soon as possible,the recognition of human universal values and mutual respect among various races are particularly important.Racism and xenophobia have caused a series of inequalities.The COVID-19 epidemic pandemic requires special attention and vigilance.On February 12,2021,the new U.S.President Biden,in his video congratulating the traditional Chinese New Year,addressed racism,harassment and hatred.U.S.President Joe Biden said,"This is completely wrong.Everyone,regardless of their race.Whatever the language,background,religion,or language they speak,they all deserve equal treatment and due dignity."It is hoped that the new US President(Joseph Robinette Biden)can eliminate the"white supremacy"racism and promote equality and harmony among all races.This paper analyzes the historical roots of racial discrimination in the United States,especially the suffering of Chinese Americans.
文摘Objective:To understand the status of nursing students'professional attitudes,professional identity,and employment intention under the new coronary pneumonia pandemic,and to analyze the factors influencing nursing students'employment intention.Methods:A cross-sectional survey was conducted on 689 nursing students using a questionnaire,and the results were analyzed by multiple unordered and ordered regressions.Results:47.17%of the nursing students chose to work in clinical nursing in the future;95.5%of the nursing students preferred to work in Grade III class hospital hospitals;0.73%of the nursing students actively chose to work in the infectious disease unit in the background of COVID-19 pandemic.In the analysis of professional attitudes,female nursing students scored higher than male nursing students;Senior students and above scored significantly higher than junior nursing students;nursing students who had internship experience scored higher than those who had not;nursing students who had someone close to them who was involved in the rescue work of the COVID-19 pandemic scored higher in professional attitudes.Regression analysis showed that the higher the professional identity score,the more likely the nursing students were to choose a nursing-related job and expect a higher salary;nursing students who chose nursing because it was easy to find a job,followed the advice of others,or had a family income of less than 3000 yuan per capita also expected a higher salary.In the context of the pandemic,nursing students with high career attitude scores were less likely to choose clinical nursing jobs;students without nursing practitioners at home were less likely to choose hospitals and health management organizations;nursing students with high career identity were more likely to choose Grade III class hospitals.Conclusion:The outbreak of COVID-19 has influenced the employment intention of nursing students,in the background of pandemic,about half of them still choose to engage in clinical nursing work;most of them recognize the outstanding contribution and professional value of nurses in the fight against epidemic.Meanwhile,through this research,it is believed that nursing students at school have insufficient awareness of infectious diseases and other public health emergencies.It is recommended that relevant colleges and universities strengthen knowledge and related courses on the prevention and control of infectious diseases and public health emergency events.
文摘目的: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。
文摘目的分析COVID-19疫情暴发前后不同国家经季节和日历调整后的生育率(seasonally and calendar adjusted fertility rate,SAFR)趋势的变化及其影响因素。方法使用国际人类生育力数据库(Human Fertility Database,HFD)中28个国家自2012年1月至2022年12月的月度SAFR数据,以2020年12月(2020年3月疫情暴发起点加9个月妊娠过程)为节点划分为疫情前(2012.1-2020.11)和疫情后(2020.12-2022.12)进行比较,使用中断时间序列方法分析各国疫情前后的SAFR趋势(短期波动和长期趋势)是否发生变化,使用秩和检验分析疫情前SAFR、人均GDP、公共卫生和社会措施(public health and social measures,PHSM)和失业率是否与SAFR趋势变化有关。结果疫情后28个国家中19个国家的SAFR出现短期下降,随后反弹。对于长期趋势,2个国家由下降趋势转为上升趋势,8个国家由上升趋势转为下降趋势,6个国家的SAFR保持不变。SAFR变化率下降主要集中在部分中欧国家以及地中海西岸的国家,而SAFR变化率增加的国家主要分布在北欧以及西欧地区。SAFR无短期波动的国家疫情前的SAFR低于有短期波动的国家(P=0.041),SAFR变化率下降国家的疫情前SAFR(P=0.005)与人均GDP(P=0.027)均低于SAFR变化率上升国家。未发现SAFR短期波动或长期趋势与PHSM严重程度指数或失业率存在关联。结论COVID-19疫情对28个国家的SAFR造成了不同的短期和长期影响,特别是经济水平和疫情前SAFR相对较低的国家可能更易遭到进一步打击。COVID-19疫情对各国人口的更长期影响值得进一步关注。
基金the Researchers Supporting Project number,King Saud University,Riyadh,Saudi Arabia,No.RSPD2024R919.
文摘BACKGROUND Psychological assessment after intensive care unit(ICU)discharge is increasingly used to assess patients'cognitive and psychological well-being.However,few studies have examined those who recovered from coronavirus disease 2019(COVID-19).There is a paucity of data from the Middle East assessing the post-ICU discharge mental health status of patients who had COVID-19.AIM To evaluate anxiety and depression among patients who had severe COVID-19.METHODS This is a prospective single-center follow-up questionnaire-based study of adults who were admitted to the ICU or under ICU consultation for>24 h for COVID-19.Eligible patients were contacted via telephone.The patient’s anxiety and depression six months after ICU discharge were assessed using the Hospital Anxiety and Depression Scale(HADS).The primary outcome was the mean HADS score.The secondary outcomes were risk factors of anxiety and/or depression.RESULTS Patients who were admitted to the ICU because of COVID-19 were screened(n=518).Of these,48 completed the questionnaires.The mean age was 56.3±17.2 years.Thirty patients(62.5%)were male.The main comorbidities were endocrine(n=24,50%)and cardiovascular(n=21,43.8%)diseases.The mean overall HADS score for anxiety and depression at 6 months post-ICU discharge was 11.4(SD±8.5).A HADS score of>7 for anxiety and depression was detected in 15 patients(30%)and 18 patients(36%),respectively.Results from the multivariable ordered logistic regression demonstrated that vasopressor use was associated with the development of anxiety and depression[odds ratio(OR)39.06,95% confidence interval:1.309-1165.8;P<0.05].CONCLUSION Six months after ICU discharge,30% of patients who had COVID-19 demonstrated a HADS score that confirmed anxiety and depression.To compare the psychological status of patients following an ICU admission(with vs without COVID-19),further studies are warranted.
基金Supported by University of Edinburgh Hepatology Laboratory Internal Fundingthe Liver Endowment Funds of the Edinburgh&Lothian Health Foundation.
文摘BACKGROUND Metabolic dysfunction-associated steatotic liver disease(MASLD),characterised by hepatic lipid accumulation,causes inflammation and oxidative stress accompanied by cell damage and fibrosis.Liver injury(LI)is also frequently reported in patients hospitalised with coronavirus disease 2019(COVID-19),while preexisting MASLD increases the risk of LI and the development of COVID-19-associated cholangiopathy.Mechanisms of injury at the cellular level remain unclear,but it may be significant that severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)which causes COVID-19,uses angiotensin-converting expression enzyme 2(ACE2),a key regulator of the‘anti-inflammatory’arm of the renin-angiotensin system,for viral attachment and host cell invasion.AIM To determine if hepatic ACE2 levels are altered during progression of MASLD and in patients who died with severe COVID-19.METHODS ACE2 protein levels and localisation,and histological fibrosis and lipid droplet accumulation as markers of MASLD were determined in formalin-fixed liver tissue sections across the MASLD pathological spectrum(isolated hepatocellular steatosis,metabolic dysfunction-associated steatohepatitis(MASH)+/-fibrosis,end-stage cirrhosis)and in post-mortem tissues from patients who had died with severe COVID-19,using ACE2 immunohistochemistry and haematoxylin and eosin and picrosirius red staining of total collagen and lipid droplet areas,followed by quantification using machine learning-based image pixel classifiers.RESULTS ACE2 staining is primarily intracellular and concentrated in the cytoplasm of centrilobular hepatocytes and apical membranes of bile duct cholangiocytes.Strikingly,ACE2 protein levels are elevated in non-fibrotic MASH compared to healthy controls but not in the progression to MASH with fibrosis and in cirrhosis.ACE2 protein levels and histological fibrosis are not associated,but ACE2 and liver lipid droplet content are significantly correlated across the MASLD spectrum.Hepatic ACE2 levels are also increased in COVID-19 patients,especially those showing evidence of LI,but are not correlated with the presence of SARS-CoV-2 virus in the liver.However,there is a clear association between the hepatic lipid droplet content and the presence of the virus,suggesting a possible functional link.CONCLUSION Hepatic ACE2 levels were elevated in nonfibrotic MASH and COVID-19 patients with LI,while lipid accumulation may promote intra-hepatic SARS-CoV-2 replication,accelerating MASLD progression and COVID-19-mediated liver damage.
基金the National Natural Science Foundation of China(82103662).
文摘Background:Solid organ transplant(SOT)activities,such as liver transplant,have been greatly influenced by the pandemic of coronavirus disease 2019(COVID-19),a disease caused by severe acute respiratory syndrome coronavirus 2(SARS-CoV-2).Immunosuppressed individuals of liver transplant recipients(LTRs)tend to have a high risk of COVID-19 infection and related complications.Therefore,COVID-19 vaccination has been recommended to be administered as early as possible in LTRs.Data sources:The keywords“liver transplant”,“SARS-CoV-2”,and“vaccine”were used to retrieve articles published in PubMed.Results:The antibody response following the 1st and 2nd doses of vaccination was disappointingly low,and the immune responses among LTRs remarkably improved after the 3rd or 4th dose of vaccination.Although the 3rd or 4th dose of COVID-19 vaccine increased the antibody titer,a proportion of patients remained unresponsive.Furthermore,recent studies showed that SARS-CoV-2 vaccine could trigger adverse events in LTRs,including allograft rejection and liver injury.Conclusions:This review provides the recently reported data on the antibody response of LTRs following various doses of vaccine,risk factors for poor serological response and adverse events after vaccination.
基金National Key Research and Development Program of China(2022YFC2303700,2021YFC2301300)Yunnan Key Research and Development Program(202303AC100026)+2 种基金National Natural Science Foundation of China(82302002,82341069)Yunnan Fundamental Research Project(202201AS070047)Strategic Priority Research Program of the Chinese Academy of Sciences(XDB0490000)。
文摘The distribution of the immune system throughout the body complicates in vitro assessments of coronavirus disease 2019(COVID-19)immunobiology,often resulting in a lack of reproducibility when extrapolated to the whole organism.Consequently,developing animal models is imperative for a comprehensive understanding of the pathology and immunology of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)infection.This review summarizes current progress related to COVID-19 animal models,including non-human primates(NHPs),mice,and hamsters,with a focus on their roles in exploring the mechanisms of immunopathology,immune protection,and long-term effects of SARS-CoV-2 infection,as well as their application in immunoprevention and immunotherapy of SARS-CoV-2 infection.Differences among these animal models and their specific applications are also highlighted,as no single model can fully encapsulate all aspects of COVID-19.To effectively address the challenges posed by COVID-19,it is essential to select appropriate animal models that can accurately replicate both fatal and non-fatal infections with varying courses and severities.Optimizing animal model libraries and associated research tools is key to resolving the global COVID-19 pandemic,serving as a robust resource for future emerging infectious diseases.
