Dataset Information

Prediction and analysis of Corona Virus Disease 2019.

ABSTRACT: The outbreak of Corona Virus Disease 2019 (COVID-19) in Wuhan has significantly impacted the economy and society globally. Countries are in a strict state of prevention and control of this pandemic. In this study, the development trend analysis of the cumulative confirmed cases, cumulative deaths, and cumulative cured cases was conducted based on data from Wuhan, Hubei Province, China from January 23, 2020 to April 6, 2020 using an Elman neural network, long short-term memory (LSTM), and support vector machine (SVM). A SVM with fuzzy granulation was used to predict the growth range of confirmed new cases, new deaths, and new cured cases. The experimental results showed that the Elman neural network and SVM used in this study can predict the development trend of cumulative confirmed cases, deaths, and cured cases, whereas LSTM is more suitable for the prediction of the cumulative confirmed cases. The SVM with fuzzy granulation can successfully predict the growth range of confirmed new cases and new cured cases, although the average predicted values are slightly large. Currently, the United States is the epicenter of the COVID-19 pandemic. We also used data modeling from the United States to further verify the validity of the proposed models.

SUBMITTER: Hao Y

PROVIDER: S-EPMC7535054 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Prediction and analysis of Corona Virus Disease 2019.

Hao Yan Y Xu Ting T Hu Hongping H Wang Peng P Bai Yanping Y

PloS one 20201005 10

The outbreak of Corona Virus Disease 2019 (COVID-19) in Wuhan has significantly impacted the economy and society globally. Countries are in a strict state of prevention and control of this pandemic. In this study, the development trend analysis of the cumulative confirmed cases, cumulative deaths, and cumulative cured cases was conducted based on data from Wuhan, Hubei Province, China from January 23, 2020 to April 6, 2020 using an Elman neural network, long short-term memory (LSTM), and support ...[more]

PMID: 33017421

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Project description:INTRODUCTION:As the global epidemic continues to spread, countries have tapped effective drugs to treat new coronavirus pneumonia. The therapeutic effect of the traditional Chinese medicine Lianhua Qingwen in this new coronary pneumonia epidemic has attracted attention from all walks of life, and relevant research reports continue to appear. Therefore, we conducted a systematic review of the clinical efficacy and safety of the traditional Chinese medicine Lianhua Qingwen in the treatment of new coronavirus pneumonia (COVID-19) (referred to as "new coronary pneumonia"), and evaluated the overall level of research quality. METHODS:We searched seven databases and retrieved the Chinese Journal Full-text Database (CNKI), Vip Database (VIP), China Biomedicine (SinoMed), Wanfang Database and PubMed, Cochrane Central, EMBASE from October 2019 to May 2020 Literature references. We included randomized controlled trials (RCTs) that tested the efficacy of the traditional Chinese medicine lotus clearing plague in the treatment of new coronavirus pneumonia. The authors extracted data and independently assessed quality. We used Stata15.1 software to analyze the data of randomized trials. RESULTS:A total of 2 articles were identified, including 154 patients. All the participating patients were diagnosed with new coronavirus pneumonia (COVID-19). The meta-analysis results showed that the disappearance rate of the main clinical symptoms of Chinese medicine Lianhua Qingwen in the treatment of new coronavirus pneumonia was significantly higher than that of the control group [OR = 3.34, 95% CI (2.06, 5.44), P <0.001]; the disappearance rate of other clinical secondary symptoms is significantly higher than the control group [OR = 6.54, 95% CI (3.59, 11.90), P <0.001]. The duration of fever was significantly lower than that of the control group [OR = -1.04, 95% CI (-1.60, -0.49), P <0.001]. It is confirmed that the traditional Chinese medicine Lianhua Qingwen treatment improves the clinical effectiveness, and also has certain advantages in relieving cough and fever. CONCLUSION:The treatment of new pneumonia with traditional Chinese medicine lotus clearing plague can be used as an effective therapy to improve the clinical symptoms of new coronary pneumonia. More rigorous design, multi-center, and prospective RCTs are necessary to further determine the effectiveness and safety of the traditional Chinese medicine lotus decoction in the treatment of new pneumonia.

Project description:The corona virus disease 2019 (COVID-19) pandemic has had a wide-ranging impact on the clinical practice of medicine and emotional well-being of providers. Our aim was to determine the impact of the COVID-19 pandemic on practice and burnout among hepatology providers. From February to March 2021, we conducted an electronic survey of American Association for the Study of Liver Diseases (AASLD) members who were hepatologists, gastroenterologists, and advanced practice providers (APPs). The survey included 26 questions on clinical practice and emotional well-being derived from validated instruments. A total of 230 eligible members completed the survey as follows: 107 (47%) were adult transplant hepatologists, 43 (19%) were adult general hepatologists, 14 (6%) were adult gastroenterologists, 11 (5%) were pediatric hepatologists, 45 (19%) were APPs, and 9 (4%) were other providers. We found that 69 (30%) experienced a reduction in compensation, 92 (40%) experienced a reduction in staff, and 9 (4%) closed their practice; 100 (43%) respondents reported experiencing burnout. In univariate analysis, burnout was more frequently reported in those ≤55 years old (odds ratio [OR], 2.2; 95% confidence interval [CI], 1.2-4.2), women (OR, 2.2; 95% CI, 1.3-3.7), nontransplant hepatology (OR, 2.0; 95% CI, 1.1-3.3), APPs (OR, 2.7; 95% CI, 1.4-5.1), and those less than 10 years in practice (OR, 1.9; 95% CI, 1.1-3.3). In multivariable analysis, only age ≤55 years was associated with burnout (OR, 2.3; 95% CI, 1.1-4.8). The most common ways the respondents suggested the AASLD could help was through virtual platforms for networking, mentoring, and coping with the changes in practice due to the COVID-19 pandemic. Conclusion: The COVID-19 pandemic has had a substantial impact on the clinical practice of hepatology as well as burnout and emotional well-being. Women, APPs, and early and mid-career clinicians more frequently reported burnout. Identified strategies to cope with burnout include virtual platforms to facilitate networking and mentoring.

Project description:The association of liver biochemistry with clinical outcomes of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is currently unclear, and the utility of longitudinally measured liver biochemistry as prognostic markers for mortality is unknown. We aimed to determine whether abnormal liver biochemistry, assessed at baseline and at repeat measures over time, was associated with death in hospitalized patients with COVID-19 compared to those without COVID-19, in a United Kingdom population. We extracted routinely collected clinical data from a large teaching hospital in the United Kingdom, matching 585 hospitalized patients who were SARS-CoV-2 real-time reverse transcription-polymerase chain reaction (RT-PCR) positive to 1,165 hospitalized patients who were RT-PCR negative for age, sex, ethnicity, and preexisting comorbidities. A total of 26.8% (157/585) of patients with COVID-19 died compared to 11.9% (139/1,165) in the group without COVID-19 (P < 0.001). At presentation, a significantly higher proportion of the group with COVID-19 had elevated alanine aminotransferase (20.7% vs. 14.6%, P = 0.004) and hypoalbuminemia (58.7% vs. 35.0%, P < 0.001) compared to the group without COVID-19. Within the group with COVID-19, those with hypoalbuminemia at presentation had 1.83-fold increased hazards of death compared to those with normal albumin (adjusted hazard ratio [HR], 1.83; 95% confidence interval [CI], 1.25-2.67), while the hazard of death was ~4-fold higher in those aged ≥75 years (adjusted HR, 3.96; 95% CI, 2.59-6.04) and ~3-fold higher in those with preexisting liver disease (adjusted HR, 3.37; 95% CI, 1.58-7.16). In the group with COVID-19, alkaline phosphatase (ALP) increased (R = 0.192, P < 0.0001) and albumin declined (R = -0.123, P = 0.0004) over time in patients who died. Conclusion: In this United Kingdom population, liver biochemistry is commonly deranged in patients with COVID-19. Baseline hypoalbuminemia and rising ALP over time could be prognostic markers for death, but investigation of larger cohorts is required to develop a better understanding of the relationship between liver biochemistry and disease outcome.

Dataset Information

Prediction and analysis of Corona Virus Disease 2019.

Publications

Prediction and analysis of Corona Virus Disease 2019.

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