Corpus overview


Overview

MeSH Disease

Human Phenotype

Fever (156)

Pneumonia (152)

Cough (111)

Fatigue (39)

Dyspnea (29)


Transmission

Seroprevalence
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    Predicting clinical outcome with phenotypic clusters in COVID-19 pneumonia HP pneumonia MESHD: 2 an analysis of 12,066 hospitalized patients from the Spanish registry SEMI-3 COVID-19.

    Authors: Manuel Rubio-Rivas; Xavier Corbella; Jose Maria Mora-Lujan; Jose Loureiro Amigo; Almudena Lopez Sampalo; Carmen Yera Bergua; Pedro Jesus Esteve Atienzar; Luis Felipe Diez Garcia; Ruth Gonzalez Ferrer; Susana Plaza Canteli; Antia Perez Pineiro; Begona Cortes Rodriguez; Leyre Jorquer Vidal; Ignacio Perez Catalan; Marta Leon Tellez; Jose Angel Martin Oterino; Maria Candelaria Martin Gonzalez; Jose Luis Serrano Carrillo de Albornoz; Eva Garcia Sardon; Jose Nicolas Alcala Pedrajas; Anabel Martin Urda Diez Canseco; Maria Jose Esteban Giner; Pablo Telleria Gomez; Ricardo Gomez Huelgas; Jose Manuel Ramos Rincon; Nina la Cour Freiesleben; Henriette Svarre Nielsen

    doi:10.1101/2020.09.14.20193995 Date: 2020-09-15 Source: medRxiv

    (1) Background: This study aims to identify different clinical phenotypes in COVID-19 88 pneumonia HP pneumonia MESHD using cluster analysis and to assess the prognostic impact among identified clusters in 89 such patients. (2) Methods: Cluster analysis including 11 phenotypic variables was performed in a 90 large cohort of 12,066 COVID-19 patients, collected and followed-up from March 1, to July 31, 2020, 91 from the nationwide Spanish SEMI-COVID-19 Registry. (3) Results: Of the total of 12,066 patients 92 included in the study, most were males TRANS (7,052, 58.5%) and Caucasian (10,635, 89.5%), with a mean 93 age TRANS at diagnosis of 67 years (SD 16). The main pre-admission comorbidities were arterial 94 hypertension HP hypertension MESHD (6,030, 50%), hyperlipidemia HP hyperlipidemia MESHD (4,741, 39.4%) and diabetes mellitus HP diabetes mellitus MESHD (2,309, 19.2%). The 95 average number of days from COVID-19 symptom onset TRANS to hospital admission was 6.7 days (SD 7). 96 The triad of fever HP fever MESHD, cough HP cough MESHD, and dyspnea HP dyspnea MESHD was present almost uniformly in all 4 clinical phenotypes 97 identified by clustering. Cluster C1 (8,737 patients, 72.4%) was the largest, and comprised patients 98 with the triad alone. Cluster C2 (1,196 patients, 9.9%) also presented with ageusia and anosmia MESHD anosmia HP; 99 cluster C3 (880 patients, 7.3%) also had arthromyalgia, headache HP headache MESHD, and sore throat; and cluster C4 100 (1,253 patients, 10.4%) also manifested with diarrhea HP diarrhea MESHD, vomiting HP vomiting MESHD, and abdominal pain HP abdominal pain MESHD. Compared to 101 each other, cluster C1 presented the highest in-hospital mortality (24.1% vs. 4.3% vs. 14.7% vs. 102 18.6%; p<0.001). The multivariate study identified phenotypic clusters as an independent factor for 103 in-hospital death. (4) Conclusion: The present study identified 4 phenotypic clusters in patients with 104 COVID-19 pneumonia HP pneumonia MESHD, which predicted the in-hospital prognosis of clinical outcomes.

    Respiratory Rehabilitation After Blood SERO Transfusion in a COVID-19 Patient: A Case Report

    Authors: Mohammad Javad Mousavi; Narges Obeidi; Saeed keshmiri; Farzan Azodi; Jamile Kiyani; Farhad Abbasi

    doi:10.21203/rs.3.rs-78131/v1 Date: 2020-09-15 Source: ResearchSquare

    Background: The coronavirus disease MESHD 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 MESHD (SARS-CoV-2), has been identified as the most crucial threat of the century. Due to severe pneumonia HP pneumonia MESHD and acute respiratory distress syndrome MESHD respiratory distress HP syndrome ( ARDS MESHD), the SARS-CoV-2 can cause shortness of breath MESHD, hypoxemia HP hypoxemia MESHD, and the need to mechanical ventilation, intensive care unit (ICU) management, and eventual death MESHD. We have tried to use a non-invasive approach to prevent patient from needing respiratory support with invasive ventilation (IV). Here, for the first time, improvement of oxygen delivery and oxygen saturation levels were observed in a COVID-19 patient using packed red blood SERO cells (PRBCs) transfusion.Case presentation: A 63-year-old man with a history of smoking and addiction who came to our hospital facility with fever HP fever MESHD, shortness of breath MESHD and decreased blood SERO oxygen saturation. High-resolution chest CT revealed bilateral and multifocal ground-glass opacities consistent with COVID-19. Subsequently, the COVID-19 infection was confirmed TRANS infection was confirmed MESHD by real-time polymerase chain reaction (qRT-PCR) assay of the upper respiratory tract. Conclusions: Oxygen delivery and oxygen saturation improvement were observed in the COVID-19 patient, after PRBCs transfusions.

    New onset of Myasthenia Gravis MESHD in a patient with COVID-19: A novel case report and literature review

    Authors: Shitiz Sriwastava; Medha Tandon; Saurabh Kataria; Maha Daimee; Shumaila Sultan

    doi:10.21203/rs.3.rs-77694/v1 Date: 2020-09-14 Source: ResearchSquare

    The novel coronavirus outbreak of SARS-CoV-2 first began in Wuhan, China in December, 2019. The most striking manifestation is atypical pneumonia HP pneumonia MESHD and respiratory complications MESHD, however various neurological manifestations are now well recognized. Currently, there have been a very few case reports in regards to COVID-19 in patients with known history of myasthenia gravis MESHD. Myasthenia gravis MESHD ( MG MESHD) causes muscle weakness HP muscle weakness MESHD, especially respiratory muscles in high-risk COVID-19 patients that can lead to severe respiratory compromise. There are few reported cases of severe myasthenia crisis MESHD following COVID-19, likely due to the involvement of the respiratory apparatus and from use of immunosuppressive medication. We report a first case MG MESHD developing secondary to COVID-19 infection MESHD in a 65-year-old woman. Two weeks prior to hospitalization, the patient suffered from cough HP, fever HP fever MESHD, diarrhea HP diarrhea MESHD and was found to be positive for COVID-19 via nasopharyngeal RT-PCR swab test. The electrodiagnostic test showed decremental response over more than 10% on repetitive nerve stimulation test of orbicularis oculi. She tested positive for antibodies SERO against Acetylcholine receptor (AchR).COVID-19 is known to cause release of inflammatory cytokines leading to immune-mediated damage. MG MESHD is an immune-mediated disorder caused due to molecular mimicry and autoantibodies against the neuromuscular junction. 

    Clinical Characteristics, Risk Factors and Predictive Value of COVID-19 Pneumonia HP: A Retrospective Study of 173 Patients in Wuhan, China

    Authors: Yang Zhang; Jun Xue; Mi Yan; Jing Chen; Hai Liu; Shao-Bo Wang; Jian-Xing Luo; Fang Yang; Jian-Yuan Tang; Xiao-Yu Hu

    doi:10.21203/rs.3.rs-76134/v1 Date: 2020-09-11 Source: ResearchSquare

    Background: COVID-19 is a globally emerging infectious disease MESHD. As the global epidemic continues to spread, the risk of COVID-19 transmission TRANS and diffusion in the world will also remain. Currently, several studies describing its clinical characteristics have focused on the initial outbreak, but rarely to the later stage. Here we described clinical characteristics, risk factors for disease severity and in-hospital outcome in patients with COVID-19 pneumonia HP pneumonia MESHD from Wuhan. Methods: Patients with COVID-19 pneumonia HP pneumonia MESHD admitted to Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology from February 13 to March 8, 2020, were retrospectively enrolled. Multivariable logistic regression analysis was used to identify risk factors for disease severity and in-hospital outcome and establish predictive models. Receiver operating characteristic (ROC) curve was used to assess the predictive value of above models.Results: 106 (61.3%) of the patients were female TRANS. The mean age TRANS of study populations was 62.0 years, of whom 73 (42.2%) had underlying comorbidities mainly including hypertension HP hypertension MESHD (24.9%). The most common symptoms on admission were fever HP fever MESHD (67.6%) and cough HP (60.1%), digestive symptoms (22.0%) was also very common. Older age TRANS (OR: 3.420; 95%Cl: 1.415-8.266; P=0.006), diarrhea HP diarrhea MESHD (OR: 0.143; 95%Cl: 0.033-0.611; P=0.009) and lymphopenia HP lymphopenia MESHD (OR: 4.769; 95%Cl: 2.019-11.266; P=0.000) were associated with severe illness on admission; the area under the ROC curve (AUC) of predictive model were 0.860 (95%CI: 0.802-0.918; P=0.000). Older age TRANS (OR: 0.309; 95%Cl: 0.142-0.674; P=0.003), leucopenia (OR: 0.165; 95%Cl: 0.034-0.793; P=0.025), increased lactic dehydrogenase (OR: 0.257; 95%Cl: 0.100-0.659; P=0.005) and interleukins-6 levels (OR: 0.294; 95%Cl: 0.099-0.872; P=0.027) were associated with poor in-hospital outcome; AUC of predictive model were 0.752 (95%CI: 0.681-0.824; P=0.000).Conclusion: Older patients with diarrhea HP diarrhea MESHD and lymphopenia HP lymphopenia MESHD need early identification and timely intervention to prevent the progression to severe COVID-19 pneumonia HP pneumonia MESHD. However, older patients with leucopenia, increased lactic dehydrogenase and interleukins-6 levels are at a high risk for poor in-hospital outcome.Trial registration: ChiCTR2000029549

    Convalescent plasma SERO as potential therapy for severe COVID-19 pneumonia HP pneumonia MESHD.

    Authors: Ricardo Valentini; Juan Dupont; Jose Fernandez; Jorge Solimano; Fernando Palizas; Dardo Riveros; Pablo Saul; Laura Dupont; Juan Medina; Viviana Falasco; Florencia Fornillo; Julia Laviano; Daniela Maymo; Daniel Gotta; Alfredo Martinez; Pablo Bonvehi

    doi:10.1101/2020.09.01.20184390 Date: 2020-09-07 Source: medRxiv

    At the beginning of the COVID-19 pandemic, there was high mortality and a lack of effective treatment for critically ill MESHD patients. Build on the experience in argentine hemorrhagic fever MESHD fever HP with convalescent plasma SERO, we incorporated 90 patients into a multicenter study, and 87 were evaluable. We collected 397 donations from 278 convalescent donors. Patients received plasma SERO with an IgG concentration of 0.7-0.8 (measured by Abbott chemiluminescence) for every 10 kg of body weight. Survival during the first 28 days was the primary objective. 77% were male TRANS, age TRANS 54 (+/-15.6 y/o (range 27-85); body mass index 29.7 +/-; 4,4; hypertension HP 39% and diabetes 20%; 19.5% had an immunosuppression condition; 23% were healthcare workers. Plasma SERO was administered to 55 patients (63%) on spontaneous breathing with oxygen supplementation (mainly oxygen mask with reservoir bag in 80%), and 32 patients (37%) were infused on mechanical ventilation. The 28-day survival rate was 80%, with 91% in patients infused on spontaneous breathing and 63% in those infused on mechanical ventilation (p = 0.0002). There was a significant improvement in the WHO pneumonia HP clinical scale at 7 and 14 days, and in PaO2 / FiO2, ferritin and LDH, in the week post-infusion. We observed an episode of circulatory volume overload and a febrile reaction, both mild. Convalescent plasma SERO infusions are feasible, safe, and potentially effective, especially before requiring mechanical ventilation, and are an attractive clinical option for treating severe forms of COVID-19 until other effective therapies become available.

    Risk Factors For COVID-19 Positivity in Hospitalized Patients in A Low Prevalence SERO Setting

    Authors: Iris Zohar; Orna Schwartz; Debby Ben David; Margarita Mashavi; Mohamad Aboulil; Orit Yossepowitch; Shirley Shapiro Ben David; ‪Yasmin Maor‬‏

    doi:10.21203/rs.3.rs-72761/v1 Date: 2020-09-05 Source: ResearchSquare

    Background: Identifying hospitalized patients with Coronavirus disease MESHD 2019 (COVID-19) in a low prevalence SERO setting is challenging.  We aimed to identify differences between COVID-19 positive and negative patients. Methods: Hospitalized patients with respiratory illness MESHD, or fever HP fever MESHD, were isolated in the emergency room and tested for COVID-19. Patients with a negative PCR and low probability for COVID-19 were taken out of isolation. Patients with a higher probability for COVID-19 remained in isolation during hospitalization and were retested after 48 hours. Risk factors for COVID-19 were assessed using logistic regression. Results: 254 patients were included, 37 COVID-19-positive (14.6%) and 217 COVID-19-negative (85.4%). Median age TRANS was 76 years, 52% were males TRANS. In a multivariate regression model, variables significantly associated with COVID-19 positivity were exposure to a confirmed COVID-19 case, length of symptoms before testing, bilateral and peripheral infiltrates in chest X-ray, neutrophil count within the normal range, and elevated LDH. In an analysis including only patients with pneumonia HP pneumonia MESHD (N=78, 18 positive for COVID-19), only bilateral and peripheral infiltrates, normal neutrophil count and elevated LDH were associated with COVID-19 positivity. Conclusions: The clinical presentation of COVID-19 positive and negative patients is similar, but radiographic and laboratory features may help to identify COVID-19 positive patients and to initiate quick decisions regarding isolation.

    Seroprevalence SERO of anti- SARS-CoV-2 antibodies SERO in COVID-19 patients and healthy volunteers

    Authors: Patricia Figueiredo-Campos; Birte Blankenhaus; Catarina Mota; Andreia Gomes; Marta Serrano; Silvia Ariotti; Catarina Costa; Helena Nunes-Cabaco; Antonio M Mendes; Pedro Gaspar; Conceicao M Pereira-Santos; Fabiana Rodrigues; Jorge Condeco; Antonia M Escoval; Matilde Santos; Mario Ramirez; Jose Melo-Cristino; Pedro J Simas; Eugenia Vasconcelos; Angela Afonso; Marc Veldhoen; Matthew Harnett; Melody Eaton; Sandra Hatem; Hajra Jamal; Alara Akyatan; Alexandra Tabachnikova; Lora E. Liharska; Liam Cotter; Brian Fennessey; Akhil Vaid; Guillermo Barturen; Scott R. Tyler; Hardik Shah; Yinh-chih Wang; Shwetha Hara Sridhar; Juan Soto; Swaroop Bose; Kent Madrid; Ethan Ellis; Elyze Merzier; Konstantinos Vlachos; Nataly Fishman; Manying Tin; Melissa Smith; Hui Xie; Manishkumar Patel; Kimberly Argueta; Jocelyn Harris; Neha Karekar; Craig Batchelor; Jose Lacunza; Mahlet Yishak; Kevin Tuballes; Leisha Scott; Arvind Kumar; Suraj Jaladanki; Ryan Thompson; Evan Clark; Bojan Losic; - The Mount Sinai COVID-19 Biobank Team; Jun Zhu; Wenhui Wang; Andrew Kasarskis; Benjamin S. Glicksberg; Girish Nadkarni; Dusan Bogunovic; Cordelia Elaiho; Sandeep Gangadharan; George Ofori-Amanfo; Kasey Alesso-Carra; Kenan Onel; Karen M. Wilson; Carmen Argmann; Marta E. Alarcón-Riquelme; Thomas U. Marron; Adeeb Rahman; Seunghee Kim-Schulze; Sacha Gnjatic; Bruce D. Gelb; Miriam Merad; Robert Sebra; Eric E. Schadt; Alexander W. Charney

    doi:10.1101/2020.08.30.20184309 Date: 2020-09-02 Source: medRxiv

    SARS-CoV-2 has emerged as a novel human pathogen, causing clinical signs, from fever HP fever MESHD to pneumonia HP pneumonia MESHD - COVID-19 - but may remain mild or even asymptomatic TRANS. To understand the continuing spread of the virus, to detect those who are and were infected, and to follow the immune response longitudinally, reliable and robust assays for SARS-CoV-2 detection and immunological monitoring are needed and have been setup around the world. We quantified immunoglobulin M (IgM), IgG and IgA antibodies SERO recognizing the SARS-CoV-2 receptor-binding domain (RBD) or the Spike (S) protein over a period of five months following COVID-19 disease onset or in previously SARS-CoV-2 PCR-positive volunteers. We report the detailed setup to monitor the humoral immune response from over 300 COVID-19 hospital patients and healthcare workers, 2500 University staff and 187 post-COVID19 volunteers, and assessing titres for IgM, IgG and IgA. Anti- SARS-CoV-2 antibody SERO responses followed a classic pattern with a rapid increase within the first three weeks after symptoms. Although titres reduce from approximately four weeks, the ability to detect SARS-CoV-2 antibodies SERO remained robust for five months in a large proportion of previously virus-positive screened subjects. Our work provides detailed information for the assays used, facilitating further and longitudinal analysis of protective immunity to SARS-CoV-2. Moreover, it highlights a continued level of circulating neutralising antibodies SERO in most people with confirmed SARS-CoV-2, at least up to five months after infection.

    Clinical Characteristics of Severe Covid Pneumonia HP: Exploring New Trends in ICU

    Authors: Aftab Akhtar; Sheher Bano; Ahtesham Iqbal; Moazma Ramzan; Aayesha Qadeer; Syed Waqar Hussain; Anam Saleem; Omair-ul-Haq Lodhi; Sana Zubair; Abdul Hameed kiani

    doi:10.21203/rs.3.rs-69224/v1 Date: 2020-08-31 Source: ResearchSquare

    Background: In late December 2019, Covid-19 emerged as clusters of pneumonia HP pneumonia MESHD of unknown cause in a province of china, Wuhan. Etiological agent was identified as novel coronavirus that resembles severe acute respiratory syndrome coronavirus (SARS-CoV) and Middle East Respiratory syndrome coronavirus (MERS-CoV) MESHD and has zoonotic transmission TRANS. Covid pneumonia HP can remain asymptomatic TRANS, present as mild infection, severe HP infection, severe MESHD pneumonia HP pneumonia MESHD or respiratory failure HP respiratory failure MESHD. Diagnosis is based on rRT-PCR carried out on respiratory secretions. Covid related mortality exceeds 50% once patient requires ICU admission. Objective: To study the characteristics of ICU population admitted to ICU of Shifa International hospital.Results: we prospectively analysed 74 patients which included 43.3% females TRANS and 56.7% males TRANS. Commonest symptoms were shortness of breath MESHD (94.5%), fever HP fever MESHD (74.3%) and cough HP (74.3%). Most of our study population consisted of non-smokers (79.7%) and had hypertension HP hypertension MESHD (59.4%) followed by diabetes MESHD (47.2%). Hydroxychloroquine (HCQ) and azithromycin combination is superior to hydroxychloroquine and doxycycline in reducing mortality (p=0.023) whereas Doxycycline alone resulted in increased mortality (p=0.009). Those who did not require antibiotics or required only narrow spectrum antibiotics had increased survival and reduced requirement of invasive mechanical ventilation (p=< 0.0001). in our study population, (44.9%) developed acute kidney injury HP acute kidney injury MESHD, 2.7% needed re-intubations 10.8% developed surgical emphysema HP emphysema MESHD and 2.7 % thromboembolic MESHD events despite full anticoagulation. ICU mortality was 41.8% and was higher in females TRANS (59.4%, p=0.008), those who had SOFA score > 3.5 at time of admission, raised D-Dimers > 931 ng/ml, NLR > 9.2. It was further high in those who required invasive mechanical ventilation and vasopressor support (58.1% mortality p=< 0.001). ICU stay was more prolonged in those requiring invasive mechanical ventilation as compared to those who did not. (23 days vs 6 days, p=0.001). Mean plateau pressure was 19.6 ± 7.6; mean Driving pressures 14.4 ± 4.6; mean PaO2/FiO2 150.7 ± 73.9; mean SPO2/FiO2 173.9 ± 106.9; mean PEEP was 8.2 ±4.33.Conclusion: We concluded that severe covid pneumonia HP pneumonia MESHD is common amongst males TRANS, non-smokers those who had comorbid. HCQ and azithromycin combination is superior to combination of HCQ and doxycycline or doxycycline alone and QT prolongation MESHD is a rare complication. Baseline NLR, APACHI II, SOFA, SAPS II, NUTRIC scores, D-Dimers, invasive ventilation and vasopressor support are important tools to predict ICU mortality. Invasive mechanical ventilation carries higher mortality and associated with more prolonged ICU stay. AKI is most common complication followed by shock HP and surgical emphysema HP emphysema MESHD. CRP, Ferritin levels has no impact on outcome.

    Artificial Intelligence Based Study on Analyzing of Habits and with History of Diseases MESHD of Patients for Prediction of Recurrence of Disease Due to COVID-19

    Authors: Samir Kumar Bandyopadhyay; Shawni Dutta

    id:10.20944/preprints202008.0542.v1 Date: 2020-08-25 Source: Preprints.org

    A patient will visit physicians when he/she feels ill. This illness is not for COVID-19 but it is a general tendency of human being to visit doctor probably it can not be controlled by general drug. When a patient comes to a doctor, the doctor examines him/her after knowing his/her problem. The physician always asks him/her about some questions related to him/her daily life. For example, if a young male TRANS patient comes to a doctor with a symptom of fever HP fever MESHD and cough HP cough MESHD, the first question doctor asked him that he has a habit of smoking. Then doctor asks him whether this type of symptom appeared often to him previously or not. If the answers of both questions are yes, then the first one is habit and the second one is that he may suffering from some serious disease MESHD or a disease due to the weather. The aim of this paper is to consider habit of the patient as well as he/she has been affected by a critical disease. This information is used to build a model that will predict whether there is any possibility of his/her being affected by COVID-19. This research work contributes to tackle the pandemic situation occurred due to Corona Virus Infectious Disease MESHD, 2019 (Covid-19). Outbreak of this disease happens based on numerous factors such as past health records and habits of patients. Health records include diabetes tendency MESHD, cardiovascular disease MESHD existence, pregnancy, asthma HP asthma MESHD, hypertension HP hypertension MESHD, pneumonia HP pneumonia MESHD; chronic renal disease MESHD may contribute to this disease occurrence. Past lifestyles such as tobacco, alcohol consumption may be analyzed. A deep learning based framework is investigated to verify the relationship between past health records, habits of patients and covid-19 occurrence. A stacked Gated Recurrent Unit (GRU) based model is proposed in this paper that identifies whether a patient can be infected by this disease or not. The proposed predictive system is compared against existing benchmark Machine Learning classifiers such as Support Vector Machine (SVM) and Decision Tree (DT).

    Automatic analysis system of COVID-19 radiographic lung images (XrayCoviDetector)

    Authors: Juan Nicolas Schlotterbeck; Carlos E Montoya; Patricia Bitar; Jorge A Fuentes; Victor Dinamarca; Gonzalo M Rojas; Marcelo Galvez; Andreas Limmer; Jia Liu; Xin Zheng; Thorsten Brenner; Marc M. Berger; Oliver Witzke; Mirko Trilling; Mengji Lu; Dongliang Yang; Nina Babel; Timm Westhoff; Ulf Dittmer; Gennadiy Zelinskyy; Kelly M Schiabor Barrett; Stephen Riffle; Alexandre Bolze; Simon White; Francisco Tanudjaja; Xueqing Wang; Jimmy M Ramirez III; Yan Wei Lim; James T Lu; Nicole L Washington; Eco JC de Geus; Patrick Deelen; H Marike Boezen; Lude H Franke

    doi:10.1101/2020.08.20.20178723 Date: 2020-08-23 Source: medRxiv

    COVID-19 is a pandemic infectious disease MESHD caused by the SARS-CoV-2 virus, having reached more than 210 countries and territories. It produces symptoms such as fever HP fever MESHD, dry cough MESHD cough HP, dyspnea HP dyspnea MESHD, fatigue HP fatigue MESHD, pneumonia HP pneumonia MESHD, and radiological manifestations. The most common reported RX and CT findings include lung consolidation and ground-glass opacities. In this paper, we describe a machine learning-based system (XrayCoviDetector; www.covidetector.net), that detects automatically, the probability that a thorax radiological image includes COVID-19 lung patterns. XrayCoviDetector has an accuracy of 0.93, a sensitivity SERO of 0.96, and a specificity of 0.90.

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MeSH Disease
Human Phenotype
Transmission
Seroprevalence


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