Corpus overview


Overview

MeSH Disease

Human Phenotype

Transmission

fomite (2)


Seroprevalence
    displaying 1 - 3 records in total 3
    records per page




    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.

    The Prevalence SERO of ocular manifestations and ocular samples polymerase chain reaction positivity in patients with COVID 19 - a systematic review and meta-analysis

    Authors: Soumen Sadhu; Sushmitha Arcot Dandapani; Deepmala Mazumdar; Sangeetha Srinivasan; Jyotirmay Biswas

    doi:10.1101/2020.06.29.20142414 Date: 2020-06-30 Source: medRxiv

    Objective: To estimate the prevalence SERO of ocular manifestations and ocular samples polymerase chain reaction (PCR) positivity among COVID 19 patients. Methods: A systematic literature review was performed using search engines (PubMed, Google Scholar, Medrixv and BioRixv) with keywords SARS CoV MESHD 2, novel coronavirus, COVID 19, ocular manifestations, conjunctival congestion, Ocular detection, Polymerase chain reaction, and conjunctivitis HP conjunctivitis MESHD. The measure of heterogeneity was evaluated with the I2 statistic. The pooled proportion of patients presenting with symptoms and ocular samples PCR positivity was estimated. Results: A total of 20 studies (14 studies and 6 case reports) were included in the systematic review and 14 studies were included in the metaanalysis. The pooled prevalence SERO of conjunctivitis HP conjunctivitis MESHD was 5.17% (95% CI: 2.90 to 8.04). Conjunctivitis HP Conjunctivitis MESHD was reported as an initial symptom of the disease in 0.858 % (95% CI: 0.31 to 1.67). Common associated features include itching, chemosis HP chemosis MESHD, epiphora HP. Seven patients (29 %) with conjunctivitis HP conjunctivitis MESHD showed positive results in ocular samples, whereas 13 patients (54%) showed positive only in their nasopharyngeal samples (NPs) or sputum samples and 4 patients (16 %) were negative for both NPs and Sputum as well as ocular samples. The pooled prevalence SERO of ocular PCR positivity was 2.90 % (95% CI: 1.77 to 4.46) vs. NPs 89.8% (95% CI: 78.80 to 79.0). Conclusion: The prevalence SERO of conjunctivitis HP conjunctivitis MESHD and ocular samples PCR positivity among COVID 19 patients was low indicating that the eye is a less affected organ. However, conjunctivitis HP conjunctivitis MESHD may present as the first symptom of the disease making the patient seek medical care at the earliest.

The ZB MED preprint Viewer preVIEW includes all COVID-19 related preprints from medRxiv and bioRxiv, from ChemRxiv, from ResearchSquare, from arXiv and from Preprints.org and is updated on a daily basis (7am CET/CEST).
The web page can also be accessed via API.

Sources


Annotations

All
None
MeSH Disease
Human Phenotype
Transmission
Seroprevalence


Export subcorpus as...

This service is developed in the project nfdi4health task force covid-19 which is a part of nfdi4health.

nfdi4health is one of the funded consortia of the National Research Data Infrastructure programme of the DFG.