In December 2019, a new type viral pneumonia cases occurred in Wuhan, Hubei Province;and then named "2019 novel coronavirus(2019-nCoV)" by the World Health Organization(WHO) on 12 January 2020. For it is a n...In December 2019, a new type viral pneumonia cases occurred in Wuhan, Hubei Province;and then named "2019 novel coronavirus(2019-nCoV)" by the World Health Organization(WHO) on 12 January 2020. For it is a never been experienced respiratory disease before and with infection ability widely and quickly, it attracted the world’s attention but without treatment and control manual. For the request from frontline clinicians and public health professionals of 2019-nCoV infected pneumonia management, an evidence-based guideline urgently needs to be developed. Therefore, we drafted this guideline according to the rapid advice guidelines methodology and general rules of WHO guideline development;we also added the first-hand management data of Zhongnan Hospital of Wuhan University. This guideline includes the guideline methodology, epidemiological characteristics, disease screening and population prevention, diagnosis, treatment and control(including traditional Chinese Medicine), nosocomial infection prevention and control, and disease nursing of the 2019-nCoV. Moreover, we also provide a whole process of a successful treatment case of the severe 2019-nCoV infected pneumonia and experience and lessons of hospital rescue for 2019-nCoV infections. This rapid advice guideline is suitable for the first frontline doctors and nurses, managers of hospitals and healthcare sections, community residents, public health persons, relevant researchers, and all person who are interested in the 2019-nCoV.展开更多
In this manuscript,the mathematical analysis of corona virus model with time delay effect is studied.Mathematical modelling of infectious diseases has substantial role in the different disciplines such as biological,e...In this manuscript,the mathematical analysis of corona virus model with time delay effect is studied.Mathematical modelling of infectious diseases has substantial role in the different disciplines such as biological,engineering,physical,social,behavioural problems and many more.Most of infectious diseases are dreadful such as HIV/AIDS,Hepatitis and 2019-nCov.Unfortunately,due to the non-availability of vaccine for 2019-nCov around the world,the delay factors like,social distancing,quarantine,travel restrictions,holidays extension,hospitalization and isolation are used as key tools to control the pandemic of 2019-nCov.We have analysed the reproduction number𝐑𝐑𝐧𝐧𝐧𝐧𝐧𝐧𝐧𝐧of delayed model.Two key strategies from the reproduction number of 2019-nCov model,may be followed,according to the nature of the disease as if it is diminished or present in the community.The more delaying tactics eventually,led to the control of pandemic.Local and global stability of 2019-nCov model is presented for the strategies.We have also investigated the effect of delay factor on reproduction number𝐑R_(nCov).Finally,some very useful numerical results are presented to support the theoretical analysis of the model.展开更多
Recently,the world is facing the terror of the novel corona-virus,termed as COVID-19.Various health institutes and researchers are continuously striving to control this pandemic.In this article,the SEIAR(susceptible,e...Recently,the world is facing the terror of the novel corona-virus,termed as COVID-19.Various health institutes and researchers are continuously striving to control this pandemic.In this article,the SEIAR(susceptible,exposed,infected,symptomatically infected,asymptomatically infected and recovered)infection model of COVID-19 with a constant rate of advection is studied for the disease propagation.A simple model of the disease is extended to an advection model by accommodating the advection process and some appropriate parameters in the system.The continuous model is transposed into a discrete numerical model by discretizing the domains,finitely.To analyze the disease dynamics,a structure preserving non-standard finite difference scheme is designed.Two steady states of the continuous system are described i.e.,virus free steady state and virus existing steady state.Graphical results show that both the steady states of the numerical design coincide with the fixed points of the continuous SEIAR model.Positivity of the state variables is ensured by applying the M-matrix theory.A result for the positivity property is established.For the proposed numerical design,two different types of the stability are investigated.Nonlinear stability and linear stability for the projected scheme is examined by applying some standard results.Von Neuman stability test is applied to ensure linear stability.The reproductive number is described and its pivotal role in stability analysis is also discussed.Consistency and convergence of the numerical model is also studied.Numerical graphs are presented via computer simulations to prove the worth and efficiency of the quarantine factor is explored graphically,which is helpful in controlling the disease dynamics.In the end,the conclusion of the study is also rendered.展开更多
<strong>Objective: </strong>To explore those differences and relationships of the initial diagnostic clinical data between confirmed cases of 2019-nCoV and suspected cases of COVID-19, and then to establis...<strong>Objective: </strong>To explore those differences and relationships of the initial diagnostic clinical data between confirmed cases of 2019-nCoV and suspected cases of COVID-19, and then to establish prediction models for predicting the probability of the first diagnosis of 2019-nCoV. <strong>Methods:</strong> A total of 81 suspected cases and 87 confirmed cases of moderate 2019-nCoV diagnosed initially in the isolation wards of the First People’s Hospital of Wuhu and the People’s Hospital of Wuwei and Wuhan Caidian Module Hospital with the help of our hospital doctors were gathered, and retrospectively analyzed. <strong>Results:</strong> The most common symptoms were fever (76.79%) and cough (64.29%) in the total of 168 cases. The median age was 45 (35 - 56) years old in the 87 confirmed cases of moderate 2019-nCoV, older than the median age 36 (29 - 50) in the 81 suspected cases. There were significant more in the former than in the latter in the incidence of myalgia, ground-glass opacity (GGO), invasions of lesion in the peripheral lobes, vascular thickening and bronchial wall thickening, interlobular septal thicking, and small pulmonary nodules. On the contrary, there were less in the former than in the latter in the total number of leukocytes and neutrophils in blood routine examination and the levels of procalcitonin (PCT). Two groups were statistically significantly different (<em>P</em> < 0.05). Multivariate logistic regression analysis showed that age, fever, myalgia, GGO, vascular thickening and bronchial wall thickening, invasions of lesion in the peripheral lobes were independent factors for identification of 2019-nCoV, and the total number of leukocytes, cough, pharyngalgia and headache were negatively related. The established mathematical equation for predicting model for predicting the probability of the first diagnosis of 2019-nCoV is: <em>P</em> = e<sup><em>x</em></sup>/(1 + e<sup><em>x</em></sup>), <em>x</em> = <span style="white-space:nowrap;">−</span>6.226 + (0.071 × ages) + (1.720 × fever) + (2.858 × myalgia) + (2.131 × GGO) + (3.000 × vascular thickening and bron-chial wall thickening) + (3.438 × invasions of lesion in the peripheral lobes) + (<span style="white-space:nowrap;">−</span>0.304 × the number of leukocytes) + (<span style="white-space:nowrap;">−</span>1.478 × cough) + (<span style="white-space:nowrap;">−</span>1.830 × pharyngalgia) + (<span style="white-space:nowrap;">−</span>2.413 × headache), where e is a natural logarithm. The area under the ROC curve (AUC) of this model was calculated to be 0.945 (0.915 - 0.976). The sensitivity is 0.920 and the specificity is 0.827 when the appropriate critical point is 0.360.<strong> Conclusions: </strong>A mathematical equation prediction model for predicting the probability of the first diagnosis of 2019-nCoV can be established based on the initial diagnostic clinical data of moderate 2019-nCoV. The prediction model is a good assistant diagnostic method for its high accurateness.展开更多
Based on the characteristics of the epidemic situation and the authors’understanding of the related ancient books and documents,this paper explores the etiology and pathogenesis of Corona Virus Disease 2019(COVID-19)...Based on the characteristics of the epidemic situation and the authors’understanding of the related ancient books and documents,this paper explores the etiology and pathogenesis of Corona Virus Disease 2019(COVID-19)from 5 aspects:abnormal climate in"warm winter",unique geographical location,pathogenesis evolution of cold and dampness mixed with insidious dryness,transmission and change of"triple energizer"of toxic pathogens,and game between healthy Qi and toxic pathogens.Combined with the special treatment of traditional Chinese medicine(TCM),the purpose is to make a modest contribution to curbing the epidemic situation with TCM.展开更多
Objective:To analyze the general situation and clinical characteristics of coronavirus disease 2019(COVID-2019)in Yongzhou city and provide reference for COVID-2019 control.Methods:44 patients with COVID-2019 admitted...Objective:To analyze the general situation and clinical characteristics of coronavirus disease 2019(COVID-2019)in Yongzhou city and provide reference for COVID-2019 control.Methods:44 patients with COVID-2019 admitted in Yongzhou central hospital were included in the study.According to the clinical classification,the patients were divided into two groups:mild and moderate group(MM group,32 cases),severe and critical group(SC group,12 cases).The general situation,epidemiology,clinical symptoms,medical history and complications,laboratory examination,imaging characteristics and treatment plan of the two groups were compared and analyzed,and the clinical characteristics,treatment process and prognosis were summarized.Results:There was no significant difference between mild and moderate group and severe and critical group in age,gender,definite incubation period or definite infection transmission generations(P=0.072,0.543,0.108,0.067).Compared with MM group,SC group needs longer hospitalization time(16.5±6.0 vs 12.4±4.5,P=0.019).There was no significant difference between the two groups in clinical symptoms of fever,cough,fatigue,pharyngeal pain,nasal obstruction,runny nose,diarrhea,history of hypertension or diabetes(each P>0.05),Compared with MM group,SC group had higher proportion of hypokalemia and AST increase(58.3%vs 15.6%,P=0.014;41.7%vs 9.4%,P=0.042).There was no significant difference in hypoproteinemia,elevated ALT,respiratory failure or heart failure(each P>0.05).Compared with MM group,SC group had higher WBC count,higher neutrophil count,lower lymphocyte count and more multileaf lesions in the laboratory and CT results(91.7%vs 37.5%,P=0.010;91.7%vs 46.9%,P=0.019;91.7%vs 18.8%,P=0.000;100.00%vs 59.4%,P=0.024).There was no significant difference between the two groups in decrease of leukocyte count,neutrophil count,eosinophil count,increase of C-reactive protein,ESR,LDH,ground glass or subpleural or extrapulmonary zone were the main pathological changes of CT(each P>0.05).Compared with MM group,SC group were different in the use rate of antibiotics,glucocorticoids,immunoglobulin and noninvasive ventilator in the treatment plan(91.7%vs 53.1%,P=0.044;100.00%vs 59.4%,P=0.024;83.3%vs 28.1%,P=0.001;41.7%vs 0,P=0.001).44 cases(100%)were cured without death.Conclusion:Compared with MM group,SC group is more likely to have increased leukocyte count,increased neutrophil count,decreased lymphocyte count and CT lesions with multileaf focus,more likely to have hypokalemia and increased AST,more likely to use antibiotics,glucocorticoids,immunoglobulins and non-invasive ventilator.展开更多
Coronavirus disease 2019(COVID-19)that broke out at the end of December 2019 has been raging for 3 years,bringing unpredictable harm to the physical and mental health of all mankind and global economic development.The...Coronavirus disease 2019(COVID-19)that broke out at the end of December 2019 has been raging for 3 years,bringing unpredictable harm to the physical and mental health of all mankind and global economic development.The new type of coronavirus pneumonia is a new type of respiratory infectious disease with a high incidence and fatality rate caused by SARS-CoV-2.Up to now,hundreds of millions of people have been infected with new coronary pneumonia worldwide,and millions of people have died.Due to the specificity of the new coronavirus itself and its high mutation rate,a series of different new coronavirus variants have appeared,which has caused the new crown pneumonia epidemic to repeat.Recently,the World Health Organization(WHO)announced a new variant"omicron"(omicron,B.1.1.529),and declared that the mutant strain may be highly infectious,antibody tolerant and highly resistant to vaccines.This article briefly reviews the latest research progress of the"omicron"variants.展开更多
The corona virus disease 2019(COVID-19)pandemic has created a global health and economic crisis.Our studies uncovered that in addition to respiratory symptoms,liver damage is also common in COVID-19 patients;however,t...The corona virus disease 2019(COVID-19)pandemic has created a global health and economic crisis.Our studies uncovered that in addition to respiratory symptoms,liver damage is also common in COVID-19 patients;however,the cause of liver damage has not been fully elucidated.In this article,we summarize the clinical manifestations and pathological features of COVID-19 reported in published relevant studies and delineate the etiology and pathogenesis of COVID-19-related liver injury.We speculate that cold stimulation may be associated with COVID-19-related liver injury,which should be considered in clinical decision-making and treatment of COVID-19 in cold regions.展开更多
Objective:To analysis the current status and research focus of Corona Virus Disease 2019(COVID-19)nursing research in China.Methods:China National Knowledge Infrastructure(CNKI),WanFang,Chinese Scientific Journals Dat...Objective:To analysis the current status and research focus of Corona Virus Disease 2019(COVID-19)nursing research in China.Methods:China National Knowledge Infrastructure(CNKI),WanFang,Chinese Scientific Journals Database(VIP)and Chinese Biomedical Literature Service System(SinoMed)databases were searched for the literatures on COVID-19 nursing published from January 1,2020,to May 15,2020.The Bibliographic Items Co-occurrence Matrix Builder was used to perform bibliometric analysis on journals,authors,keywords,etc.of the articles,and SPSS 23.0 was utilized to cluster analysis of high-frequency keywords.Results:A total of 458 related articles and 429 first authors were extracted.There articles were published most in the journal of Chinese General Practice Nursing(12.25%).33 high-frequency keywords were extracted such as“COVID-19”,“nurse”,etc.,accounting for 50.19%of the total frequency.Co-word cluster analysis obtained four research hotspots:the psychological status and psychological care of medical staff fighting COVID-19;the nursing strategy of critically ill patients with COVID-19 and the psychological experience of nurses against COVID-19;operating room emergency management and infection prevention during epidemic;the triage management of novel coronavirus infection in fever clinic.Conclusion:The psychological status,the nursing strategy on critically ill patients,the psychological experience of nurses,operating room emergency management and infection prevention,the triage management of novel coronavirus infection in fever clinic had become hot topics when facing the COVID-19 epidemic.展开更多
基金supported(in part)by the Entrusted Project of National Center for Medical Service Administration,National Health and Family Planning Commission China(No.[2019]099)the First Level Funding of the Second Medical Leading Talent Project in Hubei Provincethe Special Project for Emergency of the Ministry of Science and Technology(2020YFC0841300)。
文摘In December 2019, a new type viral pneumonia cases occurred in Wuhan, Hubei Province;and then named "2019 novel coronavirus(2019-nCoV)" by the World Health Organization(WHO) on 12 January 2020. For it is a never been experienced respiratory disease before and with infection ability widely and quickly, it attracted the world’s attention but without treatment and control manual. For the request from frontline clinicians and public health professionals of 2019-nCoV infected pneumonia management, an evidence-based guideline urgently needs to be developed. Therefore, we drafted this guideline according to the rapid advice guidelines methodology and general rules of WHO guideline development;we also added the first-hand management data of Zhongnan Hospital of Wuhan University. This guideline includes the guideline methodology, epidemiological characteristics, disease screening and population prevention, diagnosis, treatment and control(including traditional Chinese Medicine), nosocomial infection prevention and control, and disease nursing of the 2019-nCoV. Moreover, we also provide a whole process of a successful treatment case of the severe 2019-nCoV infected pneumonia and experience and lessons of hospital rescue for 2019-nCoV infections. This rapid advice guideline is suitable for the first frontline doctors and nurses, managers of hospitals and healthcare sections, community residents, public health persons, relevant researchers, and all person who are interested in the 2019-nCoV.
文摘In this manuscript,the mathematical analysis of corona virus model with time delay effect is studied.Mathematical modelling of infectious diseases has substantial role in the different disciplines such as biological,engineering,physical,social,behavioural problems and many more.Most of infectious diseases are dreadful such as HIV/AIDS,Hepatitis and 2019-nCov.Unfortunately,due to the non-availability of vaccine for 2019-nCov around the world,the delay factors like,social distancing,quarantine,travel restrictions,holidays extension,hospitalization and isolation are used as key tools to control the pandemic of 2019-nCov.We have analysed the reproduction number𝐑𝐑𝐧𝐧𝐧𝐧𝐧𝐧𝐧𝐧of delayed model.Two key strategies from the reproduction number of 2019-nCov model,may be followed,according to the nature of the disease as if it is diminished or present in the community.The more delaying tactics eventually,led to the control of pandemic.Local and global stability of 2019-nCov model is presented for the strategies.We have also investigated the effect of delay factor on reproduction number𝐑R_(nCov).Finally,some very useful numerical results are presented to support the theoretical analysis of the model.
文摘Recently,the world is facing the terror of the novel corona-virus,termed as COVID-19.Various health institutes and researchers are continuously striving to control this pandemic.In this article,the SEIAR(susceptible,exposed,infected,symptomatically infected,asymptomatically infected and recovered)infection model of COVID-19 with a constant rate of advection is studied for the disease propagation.A simple model of the disease is extended to an advection model by accommodating the advection process and some appropriate parameters in the system.The continuous model is transposed into a discrete numerical model by discretizing the domains,finitely.To analyze the disease dynamics,a structure preserving non-standard finite difference scheme is designed.Two steady states of the continuous system are described i.e.,virus free steady state and virus existing steady state.Graphical results show that both the steady states of the numerical design coincide with the fixed points of the continuous SEIAR model.Positivity of the state variables is ensured by applying the M-matrix theory.A result for the positivity property is established.For the proposed numerical design,two different types of the stability are investigated.Nonlinear stability and linear stability for the projected scheme is examined by applying some standard results.Von Neuman stability test is applied to ensure linear stability.The reproductive number is described and its pivotal role in stability analysis is also discussed.Consistency and convergence of the numerical model is also studied.Numerical graphs are presented via computer simulations to prove the worth and efficiency of the quarantine factor is explored graphically,which is helpful in controlling the disease dynamics.In the end,the conclusion of the study is also rendered.
文摘<strong>Objective: </strong>To explore those differences and relationships of the initial diagnostic clinical data between confirmed cases of 2019-nCoV and suspected cases of COVID-19, and then to establish prediction models for predicting the probability of the first diagnosis of 2019-nCoV. <strong>Methods:</strong> A total of 81 suspected cases and 87 confirmed cases of moderate 2019-nCoV diagnosed initially in the isolation wards of the First People’s Hospital of Wuhu and the People’s Hospital of Wuwei and Wuhan Caidian Module Hospital with the help of our hospital doctors were gathered, and retrospectively analyzed. <strong>Results:</strong> The most common symptoms were fever (76.79%) and cough (64.29%) in the total of 168 cases. The median age was 45 (35 - 56) years old in the 87 confirmed cases of moderate 2019-nCoV, older than the median age 36 (29 - 50) in the 81 suspected cases. There were significant more in the former than in the latter in the incidence of myalgia, ground-glass opacity (GGO), invasions of lesion in the peripheral lobes, vascular thickening and bronchial wall thickening, interlobular septal thicking, and small pulmonary nodules. On the contrary, there were less in the former than in the latter in the total number of leukocytes and neutrophils in blood routine examination and the levels of procalcitonin (PCT). Two groups were statistically significantly different (<em>P</em> < 0.05). Multivariate logistic regression analysis showed that age, fever, myalgia, GGO, vascular thickening and bronchial wall thickening, invasions of lesion in the peripheral lobes were independent factors for identification of 2019-nCoV, and the total number of leukocytes, cough, pharyngalgia and headache were negatively related. The established mathematical equation for predicting model for predicting the probability of the first diagnosis of 2019-nCoV is: <em>P</em> = e<sup><em>x</em></sup>/(1 + e<sup><em>x</em></sup>), <em>x</em> = <span style="white-space:nowrap;">−</span>6.226 + (0.071 × ages) + (1.720 × fever) + (2.858 × myalgia) + (2.131 × GGO) + (3.000 × vascular thickening and bron-chial wall thickening) + (3.438 × invasions of lesion in the peripheral lobes) + (<span style="white-space:nowrap;">−</span>0.304 × the number of leukocytes) + (<span style="white-space:nowrap;">−</span>1.478 × cough) + (<span style="white-space:nowrap;">−</span>1.830 × pharyngalgia) + (<span style="white-space:nowrap;">−</span>2.413 × headache), where e is a natural logarithm. The area under the ROC curve (AUC) of this model was calculated to be 0.945 (0.915 - 0.976). The sensitivity is 0.920 and the specificity is 0.827 when the appropriate critical point is 0.360.<strong> Conclusions: </strong>A mathematical equation prediction model for predicting the probability of the first diagnosis of 2019-nCoV can be established based on the initial diagnostic clinical data of moderate 2019-nCoV. The prediction model is a good assistant diagnostic method for its high accurateness.
基金the funding support from the National Natural Science Foundation of China(No.81774126)Hunan Provincial Innovation Foundation for Postgraduate(No.CX2018B481)Program for First-class Disciplines of Hunan Province in the Direction of Traditional Chinese and Western Medicine(No.2018ZXYJH20).
文摘Based on the characteristics of the epidemic situation and the authors’understanding of the related ancient books and documents,this paper explores the etiology and pathogenesis of Corona Virus Disease 2019(COVID-19)from 5 aspects:abnormal climate in"warm winter",unique geographical location,pathogenesis evolution of cold and dampness mixed with insidious dryness,transmission and change of"triple energizer"of toxic pathogens,and game between healthy Qi and toxic pathogens.Combined with the special treatment of traditional Chinese medicine(TCM),the purpose is to make a modest contribution to curbing the epidemic situation with TCM.
文摘Objective:To analyze the general situation and clinical characteristics of coronavirus disease 2019(COVID-2019)in Yongzhou city and provide reference for COVID-2019 control.Methods:44 patients with COVID-2019 admitted in Yongzhou central hospital were included in the study.According to the clinical classification,the patients were divided into two groups:mild and moderate group(MM group,32 cases),severe and critical group(SC group,12 cases).The general situation,epidemiology,clinical symptoms,medical history and complications,laboratory examination,imaging characteristics and treatment plan of the two groups were compared and analyzed,and the clinical characteristics,treatment process and prognosis were summarized.Results:There was no significant difference between mild and moderate group and severe and critical group in age,gender,definite incubation period or definite infection transmission generations(P=0.072,0.543,0.108,0.067).Compared with MM group,SC group needs longer hospitalization time(16.5±6.0 vs 12.4±4.5,P=0.019).There was no significant difference between the two groups in clinical symptoms of fever,cough,fatigue,pharyngeal pain,nasal obstruction,runny nose,diarrhea,history of hypertension or diabetes(each P>0.05),Compared with MM group,SC group had higher proportion of hypokalemia and AST increase(58.3%vs 15.6%,P=0.014;41.7%vs 9.4%,P=0.042).There was no significant difference in hypoproteinemia,elevated ALT,respiratory failure or heart failure(each P>0.05).Compared with MM group,SC group had higher WBC count,higher neutrophil count,lower lymphocyte count and more multileaf lesions in the laboratory and CT results(91.7%vs 37.5%,P=0.010;91.7%vs 46.9%,P=0.019;91.7%vs 18.8%,P=0.000;100.00%vs 59.4%,P=0.024).There was no significant difference between the two groups in decrease of leukocyte count,neutrophil count,eosinophil count,increase of C-reactive protein,ESR,LDH,ground glass or subpleural or extrapulmonary zone were the main pathological changes of CT(each P>0.05).Compared with MM group,SC group were different in the use rate of antibiotics,glucocorticoids,immunoglobulin and noninvasive ventilator in the treatment plan(91.7%vs 53.1%,P=0.044;100.00%vs 59.4%,P=0.024;83.3%vs 28.1%,P=0.001;41.7%vs 0,P=0.001).44 cases(100%)were cured without death.Conclusion:Compared with MM group,SC group is more likely to have increased leukocyte count,increased neutrophil count,decreased lymphocyte count and CT lesions with multileaf focus,more likely to have hypokalemia and increased AST,more likely to use antibiotics,glucocorticoids,immunoglobulins and non-invasive ventilator.
基金940 Hospital COVID-19 Emergency Medical Research Project(No.20yjky020)Huoshenshan Hospital Research Fund General Project(No.HSS-217)。
文摘Coronavirus disease 2019(COVID-19)that broke out at the end of December 2019 has been raging for 3 years,bringing unpredictable harm to the physical and mental health of all mankind and global economic development.The new type of coronavirus pneumonia is a new type of respiratory infectious disease with a high incidence and fatality rate caused by SARS-CoV-2.Up to now,hundreds of millions of people have been infected with new coronary pneumonia worldwide,and millions of people have died.Due to the specificity of the new coronavirus itself and its high mutation rate,a series of different new coronavirus variants have appeared,which has caused the new crown pneumonia epidemic to repeat.Recently,the World Health Organization(WHO)announced a new variant"omicron"(omicron,B.1.1.529),and declared that the mutant strain may be highly infectious,antibody tolerant and highly resistant to vaccines.This article briefly reviews the latest research progress of the"omicron"variants.
文摘The corona virus disease 2019(COVID-19)pandemic has created a global health and economic crisis.Our studies uncovered that in addition to respiratory symptoms,liver damage is also common in COVID-19 patients;however,the cause of liver damage has not been fully elucidated.In this article,we summarize the clinical manifestations and pathological features of COVID-19 reported in published relevant studies and delineate the etiology and pathogenesis of COVID-19-related liver injury.We speculate that cold stimulation may be associated with COVID-19-related liver injury,which should be considered in clinical decision-making and treatment of COVID-19 in cold regions.
文摘Objective:To analysis the current status and research focus of Corona Virus Disease 2019(COVID-19)nursing research in China.Methods:China National Knowledge Infrastructure(CNKI),WanFang,Chinese Scientific Journals Database(VIP)and Chinese Biomedical Literature Service System(SinoMed)databases were searched for the literatures on COVID-19 nursing published from January 1,2020,to May 15,2020.The Bibliographic Items Co-occurrence Matrix Builder was used to perform bibliometric analysis on journals,authors,keywords,etc.of the articles,and SPSS 23.0 was utilized to cluster analysis of high-frequency keywords.Results:A total of 458 related articles and 429 first authors were extracted.There articles were published most in the journal of Chinese General Practice Nursing(12.25%).33 high-frequency keywords were extracted such as“COVID-19”,“nurse”,etc.,accounting for 50.19%of the total frequency.Co-word cluster analysis obtained four research hotspots:the psychological status and psychological care of medical staff fighting COVID-19;the nursing strategy of critically ill patients with COVID-19 and the psychological experience of nurses against COVID-19;operating room emergency management and infection prevention during epidemic;the triage management of novel coronavirus infection in fever clinic.Conclusion:The psychological status,the nursing strategy on critically ill patients,the psychological experience of nurses,operating room emergency management and infection prevention,the triage management of novel coronavirus infection in fever clinic had become hot topics when facing the COVID-19 epidemic.
