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1.
Traditional Medicine Research ; 5(2):65-73, 2020.
Article in English | GIM | ID: covidwho-1374810

ABSTRACT

Since late December in 2019, the coronavirus disease 2019 has received extensive attention for its widespread prevalence. A number of clinical workers and researchers have made great efforts to understand the pathogenesis and clinical characteristics and develop effective drugs for treatment. However, no effective drugs with antiviral effects on severe acute respiratory syndrome coronavirus 2 have been discovered currently. Traditional Chinese medicine (TCM) has gained abundant experience in the treatment of infectious diseases for thousands of years. In this review, the authors summarized the clinical outcome, pathogensis and current application of TCM on coronavirus disease 2019. Further, we discussed the potential mechanisms and the future research directions of TCM against severe acute respiratory syndrome coronavirus 2.

2.
R Soc Open Sci ; 8(8): 211065, 2021 Aug.
Article in English | MEDLINE | ID: covidwho-1367103

ABSTRACT

Epidemiological forecasts are beset by uncertainties about the underlying epidemiological processes, and the surveillance process through which data are acquired. We present a Bayesian inference methodology that quantifies these uncertainties, for epidemics that are modelled by (possibly) non-stationary, continuous-time, Markov population processes. The efficiency of the method derives from a functional central limit theorem approximation of the likelihood, valid for large populations. We demonstrate the methodology by analysing the early stages of the COVID-19 pandemic in the UK, based on age-structured data for the number of deaths. This includes maximum a posteriori estimates, Markov chain Monte Carlo sampling of the posterior, computation of the model evidence, and the determination of parameter sensitivities via the Fisher information matrix. Our methodology is implemented in PyRoss, an open-source platform for analysis of epidemiological compartment models.

3.
Traditional Medicine Research ; 5(3):145-159, 2020.
Article in English | CAB Abstracts | ID: covidwho-1366018

ABSTRACT

Background: Chai-Ling decoction (CLD), derived from a modification of Xiao-Chai-Hu (XCH) decoction and Wu-Ling-San (WLS) decoction, has been used to treat the early-stage of coronavirus disease 2019 (COVID-19). However, the mechanisms of CLD in COVID-19 remain unknown. In this study, the potential mechanisms of CLD in COVID-19 were preliminarily investigated based on network pharmacology and molecular docking method.

4.
J Int Med Res ; 49(2): 300060520972658, 2021 Feb.
Article in English | MEDLINE | ID: covidwho-1061043

ABSTRACT

BACKGROUND: In December 2019, an outbreak of coronavirus disease 2019 (COVID-19) began in Wuhan, China, and led to a global epidemic. We aimed to compare the clinical and serological features of COVID-19 patients with positive and negative reverse transcriptase polymerase chain reaction (RT-PCR) tests. METHODS: This was a retrospective cohort study conducted from 9 February to 4 April 2020. COVID-19 patients at Leishenshan Hospital in Wuhan, China (125 total cases; 87 RT-PCR positive and 38 RT-PCR negative) were included. COVID-19 serology was assessed by colloidal gold assay. All cases were analyzed for demographic, clinical, and serological features. RESULTS: There were no significant differences in most demographic features, clinical symptoms, complications or treatments of RT-PCR positive and negative COVID-19 patients. Serum IgM/IgG was positive in 82 (94%) and 33 (87%) RT-PCR positive and negative cases, respectively. IgM was detectable as early as 3 days after symptom onset and was undetectable 60 days after symptom onset. By contrast, IgG could be detected only 10 days after symptom onset and reached its peak 60 days after symptom onset. CONCLUSIONS: Serological tests performed during the appropriate time window of disease progression could be valuable auxiliary methods to RT-PCR in COVID-19 patients.


Subject(s)
COVID-19/pathology , Adult , COVID-19/virology , Female , Humans , Male , Middle Aged , Retrospective Studies , Reverse Transcriptase Polymerase Chain Reaction/methods
5.
Front Psychol ; 11: 616723, 2020.
Article in English | MEDLINE | ID: covidwho-1021912

ABSTRACT

Background: The coronavirus disease 2019 (COVID-19) has been rapidly transmitted worldwide, which contributed to various psychological problems (such as fear, depression, and anxiety) among the general population in China. The purpose of this study is to investigate the prevalence and associated factors of depressive symptoms among Chinese adults. Methods: A cross-sectional study of Chinese adults was conducted during 17-29 February 2020. Symptoms of depression were assessed using the Center for Epidemiologic Studies Depression scale (CES-D). Results: A total of 3,399 respondents were included in the analysis. It was observed that 14.2% (481/3,399) of the participants were screened positive for depressive symptoms. In a multivariate logistic regression analysis, older age (OR = 0.98; 95% CI, 0.97-0.99), smoking (OR = 1.57; 95% CI, 1.10-2.26), self-rated health (good: OR = 0.49; 95% CI, 0.37-0.66; fairly: OR = 0.60; 95% CI, 0.45-0.80), having greater support scores (OR = 0.95; 95% CI, 0.94-0.96), knowledge about the main symptom of COVID-19 (very clearly: OR = 0.58; 95% CI, 0.42-0.79; relatively clearly: OR = 0.59; 95% CI, 0.44-0.79), and staying in Wuhan within 3 months before the outbreak of epidemic (OR = 1.78; 95% CI, 1.34-2.38) were associated with depressive symptoms. Conclusion: A considerable proportion of the general population in China had depressive symptoms during the COVID-19 epidemic. Routine screening and targeted interventions for depression are needed among high-risk depressed individuals during the COVID-19 epidemic.

6.
J Immunother Cancer ; 8(2)2020 12.
Article in English | MEDLINE | ID: covidwho-971586

ABSTRACT

The COVID-19 outbreak caused by SARS-CoV-2 challenges the medical system by interfering with routine therapies for many patients with chronic diseases. In patients with cancer receiving immune checkpoint inhibitors (ICIs), difficulties also arise from the incomplete understanding of the intricate interplay between their routine treatment and pathogenesis of the novel virus. By referring to previous ICI-based investigations, we speculate that ICIs themselves are not linked to high-infection risks of respiratory diseases or inflammation-related adverse effects in patients with cancer. Moreover, ICI treatment may even enhance coronavirus clearance in some patients with malignant tumor by boosting antiviral T-cell responsiveness. However, the 'explosive' inflammation during COVID-19 in some ICI-treated patients with cancer was illustrated as exuberant immunopathological damage or even death. In case of the COVID-19 immunopathogenesis fueled by ICIs, we propose a regular monitor of pathogenic T-cell subsets and their exhaustion marker expression (eg, Th17 and interleukin (IL)-6-producing Th1 subsets with surface programmed death 1 expression) to guide the usage of ICI. Here we aimed to address these considerations, based on available literature and experience from our practice, that may assist with the decision-making of ICI administration during the pandemic.


Subject(s)
Antineoplastic Agents, Immunological/pharmacology , COVID-19/immunology , Cytokine Release Syndrome/prevention & control , Neoplasms/drug therapy , SARS-CoV-2/immunology , Antineoplastic Agents, Immunological/therapeutic use , COVID-19/complications , COVID-19/diagnosis , COVID-19/epidemiology , Clinical Decision-Making , Cytokine Release Syndrome/blood , Cytokine Release Syndrome/immunology , Drug Monitoring , Humans , Lung/diagnostic imaging , Neoplasms/blood , Neoplasms/immunology , Pandemics , Patient Selection , Programmed Cell Death 1 Receptor/antagonists & inhibitors , Programmed Cell Death 1 Receptor/metabolism , SARS-CoV-2/isolation & purification , Th1 Cells/drug effects , Th1 Cells/immunology , Th1 Cells/metabolism , Th17 Cells/drug effects , Th17 Cells/immunology , Th17 Cells/metabolism , Tomography, X-Ray Computed
7.
Int J Soc Psychiatry ; : 20764020980779, 2020 Dec 10.
Article in English | MEDLINE | ID: covidwho-969308

ABSTRACT

BACKGROUND: Since December 2019, over 4,600 deaths and 84,000 confirmed cases were reported in China because of the coronavirus disease 2019 (COVID-19) pandemic. However, there is a dearth of studies on the psychological resilience in residents. AIMS: This study aims to measure the psychological resilience of Chinese residents to reflect their psychological status as well as influencing factors during the pandemic. METHOD: We conducted a combination of stratified sampling and snowball sampling to select survey subjects. We employed the psychological resilience and influencing factor questionnaire based on the 10-item Connor and Davidson Resilience Scale (CD-RISC10) for survey. We collected data from 3,398 residents in China between 31 January and 29 February 2020. Multivariable linear stepwise regression analysis was used to determine factors associated with psychological resilience in residents. RESULTS: The mean score of psychological resilience among Chinese residents was 27.11 ± 8.45 (SD = 7.98). There were some factors significantly associated with psychological status among the Chinese residents during the COVID-19 outbreak. Residents with lower financial status, living in rural areas, unmarried, lacking fixed employment or retirement guarantees, and lacking knowledge of policies were more likely to report a lower level of psychological resilience. CONCLUSION: Health service policy makers in many countries should adopt relevant measures to improve the psychological resilience of residents during the pandemic. This includes short-term aggressive treatment, strengthening health education, and improving the awareness of residents with respect to emergency health policies. In addition, the financial status, health levels, and risk management capabilities of residents should be increased over the long term.

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