BACKGROUND: Over 65 million people have long COVID. Evidence for using Chinese herbal medicine (CHM) to treat long COVID is growing. A systematic review of evidence for guiding clinical decision is warranted. OBJECTIVE: To examine the effects and safety of CHM in alleviating the severity of dyspnea, fatigue, exercise intolerance, depression, anxiety and insomnia in long COVID adults based on registered randomized clinical trials (RCT). SEARCH STRATEGY: World Health Organization International Clinical Trials Registry Platform and Chinese Clinical Trial Registry were searched for registered trial protocols from database inception to February 10, 2023. English (PubMed, Embase, AMED and CINAHL) and Chinese databases (CNKI, Wanfang Data and CQVIP) were then searched to identify relevant publications from December 2019 through April 6, 2023. INCLUSION CRITERIA: Registered RCTs that compared the effects of Chinese herbal medicines or Chinese herbal formulas against a control treatment (i.e., the placebo or usual care) in adults with persistent symptoms of long COVID. The primary outcome of dyspnea, and secondary outcomes of fatigue, exercise intolerance, depression, anxiety and insomnia were measured using validated tools at the end of the treatment. DATA EXTRACTION AND ANALYSIS: Data were extracted, and eligible RCTs were evaluated using version 2 of the Cochrane risk-of-bias tool for randomized trials and Grading of Recommendations, Assessment, Development and Evaluations independently by two researchers. Effect sizes were estimated by random-effects modelling and mean difference (MD). Heterogeneity between trials was quantified by I². RESULTS: Among the 38 registered clinical trials we identified, seven RCTs (1,519 patients) were included in the systematic review. One RCT had a low overall risk of bias. Compared to the control, CHM reduces dyspnea on the Borg Dyspnea Scale score (MD = -0.2, 95% confidence interval [CI] = -0.65 to 0.25) with moderate certainty, and reduces fatigue on the Borg Scale (MD = -0.48, 95% CI = -0.74 to -0.22) with low certainty. CHM clinically reduces depression on Hamilton Depression Rating Scale score (MD = -6.00, 95% CI = -7.56 to -4.44) and anxiety on Hamilton Anxiety Rating Scale score (MD = -6.10, 95% CI = -7.67 to -4.53), and reduces insomnia on the Insomnia Severity Index (MD = -4.86, 95% CI = -12.50 to 2.79) with moderate certainty. Meta-analysis of two RCTs (517 patients) showed that CHM clinically improves exercise intolerance by increasing 6-minute walking distance (MD = -15.92, 95% CI = -10.20 to 42.05) with substantial heterogeneity (I² = 68%) and low certainty. CONCLUSION CHM is associated with a post-treatment clinical reduction in depression and anxiety in long COVID adults, compared to the control, but it does not have a strong treatment effect on dyspnea and insomnia. Effects of CHM on exercise intolerance and fatigue are uncertain, and the safety of using CHM remains questionable. Please cite this article as: Tsang MS, Zhou IW, Zhang AL, Xue CC. Chinese herbal medicine for dyspnea and persistent symptoms of long COVID: A systematic review and meta-analysis of randomized controlled trials. J Integr Med. 2025; 23(2): 126-137.
Humans ; Dyspnea/etiology* ; Drugs, Chinese Herbal/therapeutic use* ; Randomized Controlled Trials as Topic ; COVID-19/complications* ; Fatigue/drug therapy* ; SARS-CoV-2 ; Anxiety/drug therapy* ; Depression/drug therapy* ; Sleep Initiation and Maintenance Disorders/drug therapy* ; Betacoronavirus

Since the emergence of novel coronavirus pneumonia in late 2019, it has quickly spread to many countries and regions around the world, causing a significant impact on human beings and society, posing a great threat to the global public health system. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was highly infectious, and some complications emerged rapidly in some patients, including acute respiratory distress syndrome, and multiple organ failure. The virus could trigger a series of immune responses, which might lead to excessive immune activation, thereby bringing about the immune system imbalance of the body. Up to now, there was no specific antiviral drug, and we conjectured that immunomodulatory therapy might play an essential part in the treatment of coronavirus disease 2019 (COVID-19) as adjuvant therapy. Therefore, we analyzed the possible mechanism of immune imbalance caused by the new coronavirus, and summarized the immunotherapeutic means of COVID-19 based on the mechanisms, to provide some reference for follow-up research and clinical prevention and treatment of COVID-19.
Betacoronavirus ; Coronavirus Infections ; Humans ; Pandemics ; Pneumonia, Viral

The coronavirus disease 2019 (COVID-19) epidemic has had a serious impact in the world. In the absence of vaccines and therapeutic drugs, disinfection has become an important technical means to block the spread of the virus. By analyzing the characteristics of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), we studied a series of disinfection technologies for COVID-19. During the outbreak of COVID-19, Jinan Second Center for Disease Control and Prevention disinfected the houses of the cases to be investigated in a community. The effectiveness of the disinfection technology was verified through the process of disinfection preparation, sampling before disinfection, field disinfection, sampling after disinfection and evaluation of disinfection effect. Compared the data before and after disinfection, the killing rate of the total bacterial colonies in the air and on the surface of the object was more than or equal to 90%, and no SARS-CoV-2 was detected after disinfection. The results show that the disinfection effect of the disinfection technology meets the standard. Finally, through the analysis of the wrong way of disinfection and the harm of over disinfection, the importance of scientific disinfection and precise disinfection are emphasized, and the research has a good guiding value for prevention and control of the epidemic.
Betacoronavirus ; Coronavirus Infections ; Disinfection ; Humans ; Pandemics ; Pneumonia, Viral

Coronavirus disease 2019 (COVID-19) has spread rapidly around the world. In order to diagnose COVID-19 more quickly, in this paper, a depthwise separable DenseNet was proposed. The paper constructed a deep learning model with 2 905 chest X-ray images as experimental dataset. In order to enhance the contrast, the contrast limited adaptive histogram equalization (CLAHE) algorithm was used to preprocess the X-ray image before network training, then the images were put into the training network and the parameters of the network were adjusted to the optimal. Meanwhile, Leaky ReLU was selected as the activation function. VGG16, ResNet18, ResNet34, DenseNet121 and SDenseNet models were used to compare with the model proposed in this paper. Compared with ResNet34, the proposed classification model of pneumonia had improved 2.0%, 2.3% and 1.5% in accuracy, sensitivity and specificity respectively. Compared with the SDenseNet network without depthwise separable convolution, number of parameters of the proposed model was reduced by 43.9%, but the classification effect did not decrease. It can be found that the proposed DWSDenseNet has a good classification effect on the COVID-19 chest X-ray images dataset. Under the condition of ensuring the accuracy as much as possible, the depthwise separable convolution can effectively reduce number of parameters of the model.
Betacoronavirus ; Coronavirus Infections ; diagnostic imaging ; Deep Learning ; Humans ; Pandemics ; Pneumonia, Viral ; diagnostic imaging ; X-Rays

As the COVID-19 pandemic is intensifying globally, more and more people are pinning their hopes on the development of vaccines. At present, there are many research teams who have adopted different vaccine technology routes to develop 2019-nCoV vaccines. This article reviews and analyzes the current development and research status of 2019-nCoV vaccines in different routes, and explores their possible development in the future.
Betacoronavirus ; Coronavirus Infections ; prevention & control ; Humans ; Pandemics ; prevention & control ; Pneumonia, Viral ; prevention & control ; Viral Vaccines ; therapeutic use

The outbreak of pneumonia caused by novel coronavirus (COVID-19) at the end of 2019 was a major public health emergency in human history. In a short period of time, Chinese medical workers have experienced the gradual understanding, evidence accumulation and clinical practice of the unknown virus. So far, National Health Commission of the People's Republic of China has issued seven trial versions of the "Guidelines for the Diagnosis and Treatment of COVID-19". However, it is difficult for clinicians and laymen to quickly and accurately distinguish the similarities and differences among the different versions and locate the key points of the new version. This paper reports a computer-aided intelligent analysis method based on machine learning, which can automatically analyze the similarities and differences of different treatment plans, present the focus of the new version to doctors, reduce the difficulty in interpreting the "diagnosis and treatment plan" for the professional, and help the general public better understand the professional knowledge of medicine. Experimental results show that this method can achieve the topic prediction and matching of the new version of the program text through unsupervised learning of the previous versions of the program topic with an accuracy of 100%. It enables the computer interpretation of "diagnosis and treatment plan" automatically and intelligently.
Betacoronavirus ; China ; Coronavirus Infections ; diagnosis ; therapy ; Humans ; Machine Learning ; Pandemics ; Pneumonia, Viral ; diagnosis ; therapy ; Practice Guidelines as Topic

Recently a COVID-19 pneumonia pandemic caused by a novel coronavirus 2019-nCoV has broken out over the world. In order to better control the spread of the pandemic, there's an urgent need to extensively study the virus' origin and the mechanisms for its infectivity and pathogenicity. Spike protein is a special structural protein on the surface of coronavirus. It contains important information about the evolution of the virus and plays critical roles in the processes of cellular recognition and entry. In the past decades, spike protein has always been one of the most important objects in research works on coronaviruses closely related to human life. In this review we introduce these research works related to spike proteins, hoping it will provide reasonable ideas for the control of the current pandemic, as well as for the diagnosis and treatment of COVID-19.
Betacoronavirus ; Coronavirus Infections ; diagnosis ; therapy ; Evolution, Molecular ; Humans ; Pandemics ; Pneumonia, Viral ; diagnosis ; therapy ; Spike Glycoprotein, Coronavirus ; analysis

The SARS-CoV-2 has been spread to 26 countries around the world since its outbreak. By February 16, 2020, more than 68 000 people had been diagnosed with COVID-19. Researchers from all over the world have carried out timely studies on this public health emergency and produced a number of scientific publications. This review aims to re-analyze and summarize the current research findings in a timely manner to guide scholars in relevant fields to further SARS-CoV-2 research and assist healthcare professionals in their work and decision-making. The SARS-CoV-2 related terms were selected in both English and Chinese and were searched in several major databases, including Pubmed, Web of Science, CNKI, Wanfang, and VIP databases. The reference list of each search result was screened for relevance, which was further supplemented to the search results. The included studies were categorized by topics with key characteristics extracted, re-analyzed, and summarized. A total of 301 articles were finally included with 136 in Chinese and 165 in English. The number of publications has rapidly increased since mid-January, 2020, and a peak day was 6th February on which 50 articles were published. The top three countries publishing articles were China, the United States and the United Kingdom. The and its specialty journals have published the most articles, with contribution also from journals such as ( ), ( ), and . All articles were categorized into epidemiology, clinical diagnosis and treatment, basic research, pregnant women and children, mental health, epidemic prevention & control, and others. The literatures related to SARS-CoV-2 are emerging rapidly. It is necessary to sort out and summarize the research topic in time, which has a good reference value for staff in different positions. At the same time, it is necessary to strengthen the judgment of the quality of literatures.
Betacoronavirus ; Bibliometrics ; Biomedical Research ; trends ; China ; Coronavirus Infections ; Humans ; Pandemics ; Periodicals as Topic ; Pneumonia, Viral ; United Kingdom ; United States

Compared with normal medical consumables, the management of epidemic prevention consumables in response to COVID-19 is special. Based on the practical management experience of a hospital in Shanghai, this article expounds through various aspects such as classified protection requirements, interpretation of domestic and foreign standards for epidemic prevention consumables, targeted use countermeasures, material supply of Hubei medical teams, and the management of inbound and outbound of epidemic prevention consumables, covering the whole process of epidemic prevention consumables management. The purpose of this paper is to provide ideas and references for the management of epidemic prevention materials.
Betacoronavirus ; China ; Coronavirus Infections ; epidemiology ; prevention & control ; therapy ; Epidemics ; Hospitals ; Humans ; Pandemics ; prevention & control ; Pneumonia, Viral ; epidemiology ; prevention & control ; therapy

This study summarized the determination methods and principles of 2019 novel coronavirus(severe acute respiratory syndrome coronavirus 2,SARS-CoV-2). The advantages and limitations of several methods was compared, which can provide a basis for the selection of 2019 novel coronavirus clinical diagnosis methods.
Betacoronavirus ; Clinical Laboratory Techniques ; Coronavirus Infections ; diagnosis ; Humans ; Pandemics ; Pneumonia, Viral ; diagnosis