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MeSH Disease

Human Phenotype

Transmission

Seroprevalence
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    A New Screening Method for COVID-19 based on Ocular Feature Recognition by Machine Learning Tools MESHD

    Authors: Yanwei Fu; Feng Li; Wenxuan Wang; Haicheng Tang; Xuelin Qian; Mengwei Gu; Xiangyang Xue; Evangelos Terpos; Ioannis P. Trougakos; Andreas Mentis; Markos Marangos; George Panayiotakopoulos; Meletios A. Dimopoulos; Charalampos Gogos; Alexandros Spyridonidis; Leonidas G. Alexopoulos

    doi:10.1101/2020.09.03.20184226 Date: 2020-09-10 Source: medRxiv

    The Coronavirus disease 2019 (COVID-19) has affected several million people. With the outbreak of the epidemic, many researchers are devoting themselves to the COVID-19 screening system. The standard practices for rapid risk screening of COVID-19 are the CT imaging or RT-PCR (real-time polymerase chain reaction). However, these methods demand professional efforts of the acquisition of CT images and saliva samples, a certain amount of waiting time, and most importantly prohibitive examination fee in some countries. Recently, some literatures have shown that the COVID-19 patients usually accompanied by ocular manifestations consistent with the conjunctivitis HP conjunctivitis MESHD, including conjunctival hyperemia HP hyperemia MESHD, chemosis HP chemosis MESHD, epiphora HP, or increased secretions. After more than four months study, we found that the confirmed cases TRANS of COVID-19 present the consistent ocular pathological symbols; and we propose a new screening method of analyzing the eye-region images, captured by common CCD and CMOS cameras, could reliably make a rapid risk screening of COVID-19 with very high accuracy. We believe a system implementing such an algorithm should assist the triage management or the clinical diagnosis. To further evaluate our algorithm and approved by the Ethics Committee of Shanghai public health clinic center of Fudan University, we conduct a study of analyzing the eye-region images of 303 patients (104 COVID-19, 131 pulmonary, and 68 ocular patients), as well as 136 healthy people. Remarkably, our results of COVID-19 patients in testing set consistently present similar ocular pathological symbols; and very high testing results have been achieved in terms of sensitivity SERO and specificity. We hope this study can be inspiring and helpful for encouraging more researches in this topic.

    A New Screening Method for COVID-19 based on Ocular Feature Recognition by Machine Learning Tools MESHD

    Authors: Yanwei Fu; Feng Li; Wenxuan Wang; Haicheng Tang; Xuelin Qian; Mengwei Gu; Xiangyang Xue

    id:2009.03184v1 Date: 2020-09-04 Source: arXiv

    The Coronavirus disease 2019 (COVID-19) has affected several million people. With the outbreak of the epidemic, many researchers are devoting themselves to the COVID-19 screening system. The standard practices for rapid risk screening of COVID-19 are the CT imaging or RT-PCR (real-time polymerase chain reaction). However, these methods demand professional efforts of the acquisition of CT images and saliva samples, a certain amount of waiting time, and most importantly prohibitive examination fee in some countries. Recently, some literatures have shown that the COVID-19 patients usually accompanied by ocular manifestations consistent with the conjunctivitis HP conjunctivitis MESHD, including conjunctival hyperemia HP hyperemia MESHD, chemosis HP chemosis MESHD, epiphora HP, or increased secretions. After more than four months study, we found that the confirmed cases TRANS of COVID-19 present the consistent ocular pathological symbols; and we propose a new screening method of analyzing the eye-region images, captured by common CCD and CMOS cameras, could reliably make a rapid risk screening of COVID-19 with very high accuracy. We believe a system implementing such an algorithm should assist the triage management or the clinical diagnosis. To further evaluate our algorithm and approved by the Ethics Committee of Shanghai public health clinic center of Fudan University, we conduct a study of analyzing the eye-region images of 303 patients (104 COVID-19, 131 pulmonary, and 68 ocular patients), as well as 136 healthy people. Remarkably, our results of COVID-19 patients in testing set consistently present similar ocular pathological symbols; and very high testing results have been achieved in terms of sensitivity SERO and specificity. We hope this study can be inspiring and helpful for encouraging more researches in this topic.

    Seroprevalence SERO and immunity of SARS-CoV-2 infection MESHD in children TRANS and adolescents in schools in Switzerland: design for a longitudinal, school-based prospective cohort study

    Authors: Agne Ulyte; Thomas Radtke; Irene Abela; Sarah H Haile; Julia Braun; Ruedi Jung; Christoph Berger; Alexandra Trkola; Jan Fehr; Milo A Puhan; Susi Kriemler; Anel Nurtay; Lucie Abeler-Dörner; David G Bonsall; Michael V McConnell; Shawn O'Banion; Christophe Fraser; Scott Roberts; Jose A. Gonzalez; Marciano Sablad; Rodrigo Yelin; Wendy Taylor; Kiyoshi Tachikawa; Suezanne Parker; Priya Karmali; Jared Davis; Sean M Sullivan; Steve G. Hughes; Pad Chivukula; Eng Eong Ooi

    doi:10.1101/2020.08.30.20184671 Date: 2020-09-02 Source: medRxiv

    Introduction Seroprevalence SERO and transmission TRANS routes of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection MESHD in children TRANS and adolescents, especially in school setting, are not clear. Resulting uncertainty is reflected in very different decisions on school closures and reopenings across countries. The aim of this longitudinal cohort study is to assess the extent and patterns of seroprevalence SERO of SARS-CoV-2 antibodies SERO in school-attending children TRANS repeatedly. It will examine risk factors for infection MESHD, relationship between seropositivity and symptoms, and temporal persistence of antibodies SERO. Additionally, it will include testing of school personnel and parents TRANS. Methods and analysis The study (Ciao Corona) will enroll a regionally representative, random sample of schools in the canton of Zurich, where 18% of the Swiss population live. Children TRANS aged TRANS 5 to 16 years, attending classes in primary and secondary schools are invited. Venous blood MESHD blood SERO and saliva samples are collected for SARS-CoV-2 serological testing SERO after the first wave of infections (June/July 2020), in fall HP (October/November 2020), and after winter (March/April 2021). Venous blood MESHD blood SERO is also collected for serological testing SERO of parents TRANS and school personnel. Bi-monthly questionnaires to children TRANS, parents TRANS and school personnel cover SARS-CoV-2 symptoms MESHD and tests, health, preventive behavior, lifestyle and quality of life information. Total seroprevalence SERO and cumulative incidence will be calculated. Hierarchical Bayesian logistic regression models will account for sensitivity SERO and specificity of the serological test SERO in the analyses and for the complex sampling structure, i.e., clustering within classes and schools. Ethics and dissemination The study was approved by the Ethics Committee of the Canton of Zurich, Switzerland (2020-01336). The results of this study will be published in peer-reviewed journals and will be made available to study participants and participating schools, the Federal Office of Public Health, and the Educational Department of the canton of Zurich. Trial registration number NCT04448717.

    Ocular surface manifestation of COVID-19 and tear film analysis

    Authors: Alessandro Meduri; Giovanni William Oliverio; Giuseppe Mancuso; Angela Giuffrida; Claudio Guarneri; Emmanuele Venanzi Rullo; Giuseppe Nunnari; Pasquale Aragona

    doi:10.21203/rs.3.rs-35389/v1 Date: 2020-06-14 Source: ResearchSquare

    Purpose: To evaluate the ocular manifestation in patients hospitalized with coronavirus disease MESHD 2019 (COVID-19) and to search for the presence of severe acute respiratory syndrome coronavirus 2 MESHD (SARS-CoV-2) in tears.Methods: This study was conducted in 29 hospitalized patients who were admitted to the COVID center at the Policlinic Hospital of the University of Messina, Italy.All patients underwent an ophthalmologic assessment comprising a Standardized Patient Evaluation of Eye Dryness (SPEED) questionnaire, anterior segment, and the ocular surface examination of both eyes using a portable slit lamp.The Schirmer I test was performed, and the filter paper strip was used to search for the presence of SARS-CoV-2 on the ocular surface by real-time quantitative polymerase chain reaction (RT-qPCR).Results: A total of 10 patients reported ocular symptoms; in particular, four reported eye burning, three reported foreign body sensation, and three reported tearing. Moreover, seven patients presented conjunctival hyperemia HP conjunctival hyperemia MESHD and/or chemosis HP, eleven patients presented blepharitis HP blepharitis MESHD signs such as lid margin hyperemia MESHD and/or telangiectasia HP telangiectasia MESHD, crusted eyelashes, and meibomian orifices alterations. Tear analysis did not reveal the presence of SARS-CoV-2.Conclusion: Ocular symptoms are common in patients with COVID-19; although, tear analysis did not reveal the presence of SARS-CoV-2.

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MeSH Disease
Human Phenotype
Transmission
Seroprevalence


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