Corpus overview


MeSH Disease

Cough (507)

Fever (414)

Disease (249)

Infections (246)

Coronavirus Infections (168)

Human Phenotype

Cough (507)

Fever (414)

Fatigue (145)

Pneumonia (130)

Dyspnea (81)


    displaying 21 - 30 records in total 507
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    Analysis of Clinical Imaging Characteristics of Patients with 2019-nCoV

    Authors: Hao Jiang; WEI GUO; Huijie Jiang; Ruoshui Zheng; Ziao Wang; Ru Yi; Baomin Su; Li Sun

    doi:10.21203/ Date: 2020-07-17 Source: ResearchSquare

    Background: This article retrospectively analyzed the clinical characteristics and CT characteristics of chest CT of 10 patients with coronavirus disease MESHD 2019 (COVID-19) diagnosed in Heilongjiang Province. Methods: A retrospective analysis of 10 COVID-19 patients confirmed by designated hospitals in Heilongjiang Province. Results: The clinical manifestations were mainly fever MESHD fever HP (80%) and cough MESHD cough HP (50%). Laboratory tests showed elevated C-reactive protein (70%) and serum SERO amyloid A (80%). CT mainly manifests as ground-glass opacity (100%) in the lung, more than two lung lobes (90%), and the lesions are mostly located in the right upper lobe (80%), and lobular septum thickening (60%) is common.Conclusions: In this group of patients with COVID-19, the typical CT manifestations are double lung sheet ground-glass opacity, which are mainly distributed in the subpleural area, and the range of involvement is more than or equal to two lung lobes, “paving stones” changes; pulmonary lesions were absorbed and fibrous cord foci were formed during the transition period. It is worth noting that hilum, mediastinal lymphadenopathy HP lymphadenopathy MESHD, and pleural effusion MESHD pleural effusion HP are less common. During the study period, follow-up imaging performed by some patients showed mild / moderate disease progression MESHD and gradually dissipating.

    Clinical Characteristics of 107 Patients with COVID-19 in Ningbo, China: Single Center Experience Outside Hubei

    Authors: Boming Wu; Junjie Li; Hongping Xuan; Nanhong Zheng; Honghua Ye; Yaoren Hu; Tong’en Chen; Hao Ying; Lingyan Fan; Qing Xie; Zike Sheng; Yin Ying

    doi:10.21203/ Date: 2020-07-17 Source: ResearchSquare

    Background Since December 2019, there has be an outbreak of coronavirus disease MESHD 2019 (COVID-19) caused by severe acute respiratory syndrome MESHD coronavirus 2 (SARS-CoV-2) in Wuhan, China. Nowadays, it rapidly spread across the country and then the worldwide. We aimed to investigate the clinical characteristics of patients with COVID-19.Methods The patients with confirmed COVID-19 admitted between January 25 and February 10, 2020, were enrolled. Epidemiological, demographic, clinical, laboratory, radiological data, and antivirus therapies, were retrospectively collected and analyzed. The 90-day follow-up of these patients was also performed.Results A total of 107 patients were included. The median age TRANS was 55.0 years (range from 18.0 to 85.0 years), and 72 (67.3%) were female TRANS. Ninety-three (86.9%) of the patients had a history of contacting with residents from Wuhan (n=31), or contacting with confirmed COVID-19 patients (n=62) within 2 weeks. Fifty-eight (54.2%) had a family cluster onset. Fever MESHD Fever HP and cough MESHD cough HP were the most common symptoms. Only two patients had diarrhea MESHD diarrhea HP. The most common underlying disease MESHD was hypertension MESHD hypertension HP. Lymphopenia MESHD Lymphopenia HP was observed in 26 patients. Fifty-two patients with an elevated level of IL-6. On admission, bilateral patchy shadowing and ground-glass opacity were the typical radiological findings on chest computed tomography. Six patients had an intensive care unit (ICU) stay. Antivirus therapy was performed to all patients. 105 patients discharged with an improved condition, and no death MESHD was occurred during our 90-day follow-up for these patients.Conclusions Patients with COVID-19 in our hospital had relatively mild symptoms, and good prognosis. This study also highlights the importance of human-to-human transmission TRANS in COVID-19.

    Impact of Meteorological factors and population size on the transmission TRANS of Micro-size respiratory droplets based Coronavirus: A brief study of highly infected cities in Pakistan

    Authors: Iram Shahzadi; Anum Shahzadi; Junaid Haider; Sadia Naz; Rai M Aamir; Ali Haider; Hafiz Rizwan Sharif; Imran Mahmood Khan; Muhammad Ikram

    doi:10.1101/2020.07.14.20153544 Date: 2020-07-17 Source: medRxiv

    Ongoing Coronavirus epidemic (COVID-19) identified first in Wuhan, China posed huge impact on public health and economy around the globe. Both cough MESHD cough HP and sneeze MESHD sneeze HP based droplets or aerosols encapsulated COVID-19 particles are responsible for air borne transmission TRANS of this virus and caused unexpected escalation and high mortality worldwide. Current study intends to investigate correlation of COVID-19 epidemic with meteorological parameters particularly, temperature, rainfall, humidity, and wind speed along with population size. Data set of COVID-19 for highly infected cities of Pakistan was collected from the official website of National Institute of health (NIH). Spearman rank (rs) correlation coefficient test employed for data analysis revealed significant correlation between temperature minimum (TM), temperature average (TA), wind speed (WS) and population size (PS) with COVID-19 pandemic. Furthermore, receiver operating characteristics (ROC) curve was used to analyze the sensitivity SERO of TA, WS, and PS on transmission TRANS rate of COVID-19 in selected cities of Pakistan. The results obtained for sensitivity SERO and specificity analysis for all selected parameters signifies sensitivity SERO and direct correlation of COVID-19 transmission TRANS with temperature variation, WS and PS. Positive correlation and strong association of PS parameter with COVID-19 pandemic suggested need of more strict actions and control measures for highly populated cities. These findings will be helpful for health regulatory authorities and policymakers to take specific measures to combat COVID-19 epidemic in Pakistan.

    Anesthesia for an emergency MESHD gastrorrhagia operation in a patient suspected with COVID-19: a case report

    Authors: Yu Chen; Hao Lv

    doi:10.21203/ Date: 2020-07-17 Source: ResearchSquare

    BackgroundThe spread of the Coronavirus Disease MESHD 2019 (COVID-19) in China since December 2019 was very grave. According to Chinese govenment's guidelines, patients can be divided into confirmed cases TRANS and suspected cases. The protective measures for both are the same.Case summaryWe report a case of an emergency MESHD gastrorrhagia operation for a patient suspected to have contracted COVID-19. A 54-year-old man with massive gastric hemorrhage MESHD was scheduled for an emergency MESHD operation for exploratory hemostasis. COVID-19 infection MESHD, however, could not be ruled out, and the patient was treated as a suspected case. All the protective measures were based on patients infected or suspected to be infected with COVID-19. Before the operation, we carried out a series of protective measures, such as preparing the operating room and wearing personal protective gear. We increased the dose of neuromuscular blocking agents during the induction of anesthesia to prevent the splashing of secretions by coughing MESHD coughing HP. The operation went smoothly, and the patient was transferred to an intensive care unit (ICU) in the isolation ward for extubation. Seven days later, the patient was ruled out for COVID-19 infection MESHD. ConclusionThe patient recovered successfully from the massive gastric hemorrhage MESHD, and the medical staff were not infected.

    Acute Demyelinating Encephalomyelitis MESHD (ADEM) in COVID-19 infection MESHD: A Case Series.

    Authors: Michaela McCuddy; Praful Kelkar; Yu Zhao; David Wicklund

    doi:10.1101/2020.07.15.20126730 Date: 2020-07-17 Source: medRxiv

    Objective: To report three patients infected with COVID-19 with severe respiratory syndrome MESHD requiring intubation, who developed acute demyelinating encephalomyelitis MESHD (ADEM). Method: Patient data were obtained from medical records from the North Memorial Health Hospital, Robbinsdale, MN, USA Results: Three patients (two men and one woman, aged TRANS 38 - 63) presented with fatigue MESHD fatigue HP, cough MESHD cough HP and fever MESHD fever HP leading to development of acute respiratory distress HP syndrome MESHD secondary to COVID-19 infection MESHD requiring intubation and ventilatory support. Two patients were unresponsive, one with strong eye deviation to the left and the third patient had severe diffuse weakness. MRI in all patients showed findings consistent with ADEM. CSF showed elevated protein in all patients with normal cell count and no evidence of infection MESHD, including negative COVID-19 PCR. All three of the patients received Convalescent plasma SERO therapy for COVID-19. All patients were treated with intravenous corticosteroids and improved, although two responded minimally. Two patients treated with IVIG showed no further improvement. Conclusion: Neurological complications from COVID-19 are being rapidly recognized. Our three cases highlight the occurrence of ADEM as a postinfectious/immune mediated complication of COVID-19 infection MESHD, which may be responsive to corticosteroid treatment. Early recognition of this complication and treatment is important to avoid long term complications.

    Early detection of COVID-19 pandemic: evidence from Baidu Index

    Authors: Bizhi Tu; Laifu Wei; Yaya Jia; Jun Qian

    doi:10.21203/ Date: 2020-07-16 Source: ResearchSquare

    Background: New coronavirus disease MESHD 2019 (COVID-19) poses a severe threat to human life, and causes a global pandemic. The purpose of current research is to explore the onset and progress of the pandemic with a novel perspective using Baidu Index.Methods: We collected the confirmed data of COVID-19 infection MESHD between January 11, 2020, and April 22, 2020, from the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU). Based on known literature, we obtained the search index values of the most common symptoms of COVID-19, including fever MESHD fever HP, cough MESHD cough HP, fatigue MESHD fatigue HP, sputum production, and shortness of breath. Spearman's correlation analysis was used to analyze the association between the Baidu index values for each COVID-19-related symptoms and the number of confirmed cases TRANS. Regional differences among 34 provinces/ regions were also analyzed. Results: Daily growth of confirmed cases TRANS and Baidu index values for each symptoms presented a robust positive correlation during the outbreak ( fever MESHD fever HP: rs=0.705, p=9.623×10-6; cough MESHD cough HP: rs=0.592, p=4.485×10-4; fatigue MESHD fatigue HP: rs=0.629, p=1.494×10-4; sputum production: rs=0.648, p=8.206×10-5; shortness of breath: rs=0.656, p=6.182×10-5). The average search-to-confirmed interval is 19.8 days in China ( fever MESHD fever HP: 22 days, cough MESHD cough HP: 19 days, fatigue MESHD fatigue HP: 20 days, sputum production: 19 days, and shortness of breath: 19 days). We discovered similar results in the top 10 provinces/regions, which had the highest cumulative cases. Conclusion: Search terms of COVID-19- related symptoms on the Baidu search engine can be used to early warn the outbreak of the epidemic. Relevant departments need to pay more attention to areas with high search index and take precautionary measures to prevent these potentially infected persons from spreading further. Baidu search engine can reflect the public's attention to the pandemic and regional epidemics of viruses. Based on changes in the Baidu index value, we can predict the arrival of the peak confirmed cases TRANS. The clinical characteristics related to COVID-19- including fever MESHD fever HP, cough MESHD cough HP, fatigue MESHD fatigue HP, shortness of breath, deserve more attention during the pandemic.

    An Efficient Mixture of Deep and Machine Learning Models for COVID-19 and Tuberculosis MESHD Detection Using X-Ray Images in Resource Limited Settings

    Authors: Ali H. Al-Timemy; Rami N. Khushaba; Zahraa M. Mosa; Javier Escudero

    id:2007.08223v1 Date: 2020-07-16 Source: arXiv

    Clinicians in the frontline need to assess quickly whether a patient with symptoms indeed has COVID-19 or not. The difficulty of this task is exacerbated in low resource settings that may not have access to biotechnology tests. Furthermore, Tuberculosis MESHD (TB) remains a major health problem in several low- and middle-income countries and its common symptoms include fever MESHD fever HP, cough MESHD cough HP and tiredness, similarly to COVID-19. In order to help in the detection of COVID-19, we propose the extraction of deep features (DF) from chest X-ray images, a technology available in most hospitals, and their subsequent classification using machine learning methods that do not require large computational resources. We compiled a five-class dataset of X-ray chest images including a balanced number of COVID-19, viral pneumonia MESHD pneumonia HP, bacterial pneumonia MESHD pneumonia HP, TB, and healthy cases. We compared the performance SERO of pipelines combining 14 individual state-of-the-art pre-trained deep networks for DF extraction with traditional machine learning classifiers. A pipeline consisting of ResNet-50 for DF computation and ensemble of subspace discriminant classifier was the best performer in the classification of the five classes, achieving a detection accuracy of 91.6+ 2.6% (accuracy + 95% Confidence Interval). Furthermore, the same pipeline achieved accuracies of 98.6+1.4% and 99.9+0.5% in simpler three-class and two-class classification problems focused on distinguishing COVID-19, TB and healthy cases; and COVID-19 and healthy images, respectively. The pipeline was computationally efficient requiring just 0.19 second to extract DF per X-ray image and 2 minutes for training a traditional classifier with more than 2000 images on a CPU machine. The results suggest the potential benefits of using our pipeline in the detection of COVID-19, particularly in resource-limited settings and it can run with limited computational resources.

    Epidemiological and clinical characteristics of COVID-19 pneumonia MESHD pneumonia HP in Zhejiang province, China: a description of early stage

    Authors: Caixia Gong; Cheng Ma; Shumin Li; Yunmei Yang; Qin Zhang

    doi:10.21203/ Date: 2020-07-16 Source: ResearchSquare

    BackgroundThe outbreak of the 2019 novel coronavirus since December, 2019, has now causing nearly 75 thousand confirmed cases TRANS in China (until paper preparing). This epidemic has posed significant threats to international health and the economy. Zhejiang province, which once had the 2nd most accumulative cases among all provinces, has now dropped to top No.5 (until paper preparing). It had a high discharge rates (43.86%) from hospital and the lowest death MESHD rate among all top 5 epidemic provinces, this drew our attention to the epidemiological, clinical characteristics and local government engagement of this region.MethodsIn this study, we included all confirmed cases TRANS of COVID-19 pneumonia MESHD pneumonia HP in Zhejiang province from Jan 21 to Feb 11, 2020. All data come from cases issued by Zhejiang provincial health commission.ResultsUntil Feb 11, 2020, 1143 cases were confirmed TRANS in Zhejiang province. We analysed the cases growth information in Zhejiang province and age TRANS, gender TRANS, severe cases percent, the source of the patients, the time of disease MESHD onset to confirm and the clinical symptoms of the patients. We also compared the clinical symptoms of elders and the young.ConclusionsThe patients in Zhejiang province had no age TRANS and gender TRANS preference, and the average time of disease MESHD onset to confirm was 5.9 days. The clinical symptoms were mainly fever MESHD fever HP, cough MESHD cough HP and weakness, similarly with before reported. The difference between elders and younger are not significant. Until paper preparing, Zhejiang province has very high discharge rate and low death MESHD rate, low cases increase rate in China.

    Baidu Jieduan Granule in the Treatment of Coronavirus Disease MESHD-2019 (COVID-19): Study Protocol for an Open-Label Randomized Controlled Clinical Trial

    Authors: Wen Zhang; Qin Xie; Xiaoming Xu; Shuting Sun; Tian Fan; Xinxin Wu; Yao Qu; Jinhua Che; Chao Jiang; Bangjiang Fang; Shuang Zhou; Ting-rong Huang; Hua-cheng Li; You Zheng

    doi:10.21203/ Date: 2020-07-16 Source: ResearchSquare

    Background: Currently, coronavirus disease MESHD-2019 (COVID-19) is continuously and rapidly circulating, resulting in serious and extensive impact on human health. Due to the absence of antiviral medicine for COVID-19 thus far, it is desperately need to develop the effective medicine. Traditional Chinese medicine (TCM) has been widely applied in the treatment of epidemic diseases MESHD in China, hoping to produce clinical efficacy and decrease the use of antibiotics and glucocorticoid. The aim of this study is to evaluate the efficacy and safety of Baidu Jieduan Granule in curing COVID-19. Methods/design: This multicenter, open-label randomized controlled trial is conducted 300 cases with COVID-19. The patients will be randomly (1:1) divided into treatment group or control group. All cases will receive standard therapy at the same time. The experiment group will receive Baidu Jieduan Granule treatment twice a day for 14 days. The outcomes are assessed at baseline and at 3, 5, 7, 14 days after treatment initiation. The primary outcome is the rate of symptom ( fever MESHD fever HP, fatigue MESHD fatigue HP, and coughing MESHD coughing HP) recovery. Adverse events will be monitored throughout the trial.Discussion: The study will provide a high-quality clinical evidence to support the efficacy and safety of Baidu Jieduan Granule in treatment of severe COVID-19, and also enrich the theory and practice of TCM in treating COVID-19. Trial registration: Chinese Clinical Trial Registry, ChiCTR2000029869. Registered on 15 February 2020

    Sex Differences in an Italian Pediatric Population Covid-19 Positive

    Authors: Elisabetta Straface; Isabella Tarissi De Jacobis; Rosa Vona; Camilla Cittadini; Alessandra Marchesi; Laura Cursi; Lucrezia Gambardella; Alberto Villani

    doi:10.21203/ Date: 2020-07-16 Source: ResearchSquare

    Background: Since December 2019 coronavirus disease MESHD (COVID-19) emerged in Wuhan and spread rapidly worldwide. Despite the high number of people affected, data on clinical features and prognostic factors in children TRANS and adolescents are limited. We propose a retrospective study aimed to identify sex differences in a pediatric population with COVI-19.Methods: A pediatric population admitted with COVID-19 to Bambino Gesù Children TRANS's Hospital of Rome (Italy) in the period from March to May 2020 has been studied taking into account sex differences. Medical history, comorbidities, symptoms and laboratory findings were obtained from patients' electronic medical records. Results: In 37 patients (19 males TRANS and 18 females TRANS) we found that: i) fever MESHD fever HP and cough MESHD cough HP were the dominant symptoms, while gastrointestinal symptoms were rare; and ii) all ages TRANS of childhood were susceptible to COVID-19. Moreover, we found that females TRANS with COVID-19 were older than males TRANS (p < 0.01); required more days of hospitalization (p < 0.04); needed of treatment with multiple drugs; and had higher serum SERO lactate dehydrogenase values (p < 0.04) than males TRANS. Conversely, males TRANS had, although not significant, higher values of C reactive protein and erythrocyte sedimentation rate than females TRANS.Conclusions: Based on the data listed above sex differences were detected in an Italian pediatric population. Compared to the adults TRANS we found that COVID-19 infection MESHD in children TRANS is a non-severe inflammatory disease MESHD in both males TRANS and females TRANS. In any case, many detailed studies should be conducted. 

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MeSH Disease
Human Phenotype

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