covid detection 2021




COVID-19 virus has been detected in blood and stool, as had the coronaviruses responsible for SARS and MERS (14,16,19-21). The duration and frequency of shedding of COVID-19 virus in stool and potentially in urine is unknown

Along with laboratory testing, chest CT scans may be helpful to diagnose COVID-19 in individuals with a high clinical suspicion of infection.

The incubation period of COVID-19, which is the time between exposure to the virus and symptom onset, is on average 5-6 days, but can be as long as 14 days. Thus, quarantine should be in place for 14 days from the last exposure to a confirmed case

The outbreak of COVID19 that started late December 201 has spread to 184 countries on March 2 20 with 26 013 confirmed cases and 1 201 deaths according to the WHO reports . China has accumulated huge clinical experience and reported about

A protocol for detection of COVID19 using CRISPR diagnostics
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IMPORTANT NOTE:​ This protocol should not be used for clinical purposes​.​ We do not have access to patient samples and as a result have not been able to validate this assay using real patient samples. We welcome researchers working with COVID19 samples to

Deep learning-based detection for COVID19 from chest CT using weak label
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Accurate and rapid diagnosis of COVID19 suspected cases plays a crucial role in timely quarantine and medical treatment. Developing a deep learning-based model for automatic COVID19 detection on chest CT is helpful to counter the outbreak of SARS-CoV-2. A weakly

Deep learning COVID19 detection bias: accuracy through artificial intelligence
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Background Detection of COVID19 cases accuracy is posing a conundrum for scientists, physicians, and policy-makers. As of April 2 20 2.7 million cases have been confirmed, over 190,000 people are dead, and about 750,000 people are reported recovered. Yet

IL-6 be a good biomarker for earlier detection of COVID19 progression
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The global outbreak of COVID19 has seriously endangered healthcare systems in China and worldwide. 15.7% of cases of COVID19 were severe, and 5% were critical according to guidelines on the diagnosis and treatment of new coronavirus pneumonia (version 6)Public health interventions have been implemented to mitigate the spread of coronavirus disease ( COVID19) in Ontario, Canada; however, the quantification of their effectiveness remains to be done and is important to determine if some of the social

Automated detection of COVID19 cases using deep neural networks with X-ray images
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Abstract The novel coronavirus ( COVID2019), which first appeared in Wuhan city of China in December 201 spread rapidly around the world and became a pandemic. It has caused a devastating effect on both daily lives, public health, and the global economy. It is

Time course quantitative detection of SARS-CoV-2 in Parisian wastewaters correlates with COVID19 confirmed cases
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Since many SARS-CoV-2 carriers are assumed to exhibit no or few non-specific symptoms, SARS-CoV-2 circulation among human populations be detected too lately and only when massive human testing is available or when clinal COVID19 cases are reported. This

Evaluation of the Panbio Covid19 rapid antigen detection test device for the screening of patients with Covid19
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Page 1. 1 Evaluation of the Panbio Covid19 rapid antigen detection test device for the screening of 1 patients with Covid19 2 3 Florence Fenollar A Bouam Mehdi Ballouche L a Fuster Elsa Prudent Philippe 4 Colson Herv Tissot-Dupont Matthieu Million Michel

Deep net model for detection of covid19 using radiographs based on roc analysis
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There is a rapid spread of the novel corona virus ( Covid19) among millions of people and causing the death of hundreds of thousands of people according to the analytical data provided by the European Centre for Disease Prevention and Control. However, the numberThe novel coronavirus disease ( COVID19) outbreak started in December in Wuhan, China, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The CT image is used to assess the disease progress, whereas the continued two times of negativeThe World Health Organization (WHO) has officially declared the pandemic of coronavirus disease ( COVID19) on March 1 . The current pandemic COVID19 causes suspicious cases flocking into hospitals. The detection of COVID19 by traditional reverse

Novel COVID19 detection and diagnosis system using IOT based smart helmet
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Coronavirus is the new virus that has not been identified in humans before which it causes the coronavirus disease called COVID19. This disease was firstly discovered in Wuhan, China, on December and spread to the world until now. The virus can easily pass from

Clinical findings of 6 children with COVID1 risks factors associated with COVID19 death, and detection of SARS-CoV-2 in different clinical specimens
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NEW YORK–March 1 2020–Todays DG Alert covers clinical findings of 6 children hospitalised in Wuhan, China, with coronavirus disease ( COVID19), risk factors associated with death in adults hospitalised with COVID1 and detection of SARS-CoV-2

COVID19 prediction and detection using deep learning
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( COVID19) is one of the main challenges in the world, given the rapid spread of the disease. Recent statistics indicate that the number of people diagnosed with COVID19 is increasing exponentially, with more than 1.6 million confirmed cases; the disease is

A systematic review on COVID19: urological manifestations, viral RNA detection and special considerations in urological conditions
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Purpose and objective We performed a systematic review on COVID19 and its potential urological manifestations. Methods A literature search was performed using combination of keywords (MeSH terms and free text words) relating to COVID1 urology, faeces and stool

Automatic detection of COVID19 using X-ray images with deep convolutional neural networks and machine learning
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The COVID19 pandemic continues to have a devastating effect on the health and well- being of the global population. A vital step in the combat towards COVID19 is a successful screening of contaminated patients, with one of the key screening approaches being

A Study on Epidemiological Characteristics and ML Based Detection of novel COVID19
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The novel coronavirus disease known as COVID19 has turned into a global outbreak. This disease is caused by a new coronavirus called SARS-CoV-2. COVID19 has raised serious concern due to the rapid spread of coronavirus strain through human interactions

Radiological role in the detection diagnosis and monitoring for the coronavirus disease ( COVID19)
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OBJECTIVE: Coronavirus disease ( COVID19) has officially been declared a pandemic by the World Health Organization (WHO). Radiological examinations, especially computed tomography (CT), play an important role in the fight against COVID19. A

A vision-based social distancing and critical density detection system for covid19
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Social distancing has been proven as an effective measure against the spread of the infectious COronaVIrus Disease ( COVID19). However, individuals are not used to tracking the required 6-feet (2-meters) distance between themselves and their surroundings

Label-free electrochemical detection of DNA hybridization: a method for COVID19 diagnosis
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This paper presents label-free electrochemical transduction as a suitable scheme for COVID 19-specific viral RNA/c-DNA detection with an aim to facilitate point of care diagnosis. In lieu of this, we discuss the proposed electrochemical biosensing scheme, based on

Detection and isolation of asymptomatic individuals can make the difference in COVID19 epidemic management
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Mathematical modeling of infectious diseases is a powerful tool for the design of management policies and a fundamental part of the arsenal currently deployed to deal with the COVID19 pandemic. Here we present a compartmental model for the disease that can

Covid19 detection using cnn transfer learning from x-ray images
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The Covid19 first occurs in Wuhan, China in December 2019. After that the virus spread all around the world and at the time of writing this paper the total number of confirmed cases are above 4.7 million with over 315000 deaths. Machine learning algorithms built on

Advice on the use of point-of-care immunodiagnostic tests for COVID19: scientific brief, 8 April 2020
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Antibody detection tests targeting COVID19 also cross-react with other pathogens, including other human Page 2 WHO guidance documents for detection of COVID19 have been published: WHO Guidance on Laboratory testing for COVID19 in suspected human cases

Artificial Intelligence: A tool for COVID19 surface detection
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Accepted: 20/July/20 Online: 31/July/2020 Abstract This paper provides an alternative to detect microorganisms using Artificial Intelligence (AI). The limitation of the human eye can be equipped with magnifying tools to see microorganisms like viruses. The

Impact of the COVID19 pandemic on the detection of TB in Shanghai, China
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Dear Editor, TB remains a major public health threat globally, but the TB epidemic be exacerbated by the COVID19 pandemic. 2 Reports have suggested that TB detection and health care has declined during lockdown. 4 To contain the spread of COVID19

COVID19 detection in chest X-ray images using a deep learning approach
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Abstract The Corona Virus Disease ( COVID19) is an infectious disease caused by a new virus that has not been detected in humans before. The virus causes a respiratory illness like the flu with various symptoms such as cough or fever that, in severe cases, cause

Automated Systems for Detection of COVID19 using chest X-ray images and lightweight convolutional neural networks
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Since December 201 the appearance of an outbreak of a novel coronavirus disease namely COVID19 and which is previously known as 2019-nCoV. COVID19 is a type of coronavirus that leads to the general destruction of respiratory systems and a severe

Diagnostic performance of COVID19 serology assays
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Two immunochromatography using nasopharyngeal or throat swab for detection of COVID19 specific antigen are also reviewed. Conclusions: There is much to determine regarding the value of serological testing in COVID19 diagnosis and monitoring

Recommendation of fecal specimen for routine molecular detection of SARS-CoV-2 and for COVID19 discharge criteria
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SARS-CoV-2 causing COVID19 is now affecting 210 countries and territories around the world, since it first emerged in China . While the death rate is increasing with time, the world is still grappling to develop a vaccine or specific treatments for SARS-CoV-2. So, WHO

Machine learning for COVID19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review
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Background: Machine learning methods offer great potential for fast and accurate detection and prognostication of COVID19 from standard-of-care chest radiographs (CXR) and computed tomography (CT) images. In this systematic review we critically evaluate the

Detection of coronavirus disease ( COVID19) using radiological examinations
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An outbreak of Coronavirus disease ( COVID19) occurred in China. The causative agent of COVID19 is Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). The disease rapidly spreads from China to the world by trading and traveling. Until April 24

Value of PET/CT and MATLAB in Detection of COVID19 in an Oncology Patient-Case Report
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The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes the infectious disease COVID1 was declared a global pandemic in March 2020. The SARS- CoV-2 infection has polymorphic clinical presentations. The real time PCR is the reference

A Review of Salivary Diagnostics and Its Potential Implication in Detection of Covid19
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Copyright Sri Santosh et al. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are

Non-specific Primers Reveal False-negative Risk in Detection of COVID19 Infections
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Background: A novel coronavirus disease ( COVID19) broke out in Wuhan of Hubei province and had spread throughout the world since December 2019. Because the clinically diagnosed cases in Hubei province were reported for the first time on February 1 20 a

Detection of SARS-CoV-2 in raw and treated wastewater in Germany suitability for COVID19 surveillance and potential transmission risks
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The current SARS-CoV-2 pandemic has far-reaching global consequences on public health, economic activities, and societies as a whole, which are unprecedented in many respects and cannot be fully assessed yet (WHO). The number and proportion of personsThe person is difficult essence which unites a body, reason, soul and spirit. The spirit is the highest beginning in the person. It is connected with conscience an internal criterion of justice, honesty, kindness, a righteousness. Thin material soul is connected with feelings

Aidcov: An interpretable artificial intelligence model for detection of covid19 from chest radiography images
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As the Coronavirus Disease ( COVID19) pandemic continues to grow globally, testing to detect COVID19 and isolating individuals who test positive remains to be the primary strategy for preventing community spread of the disease. The current gold standard methodCOVID19 leads to severe respiratory symptoms that are associated with highly intensive care unit (ICU) admissions and deaths. Early diagnosis of coronavirus limits its wide spreading. Real-time reverse transcription-polymerase chain reaction (RT-PCR) is the

COVID2019 detection using X-ray images and artificial intelligence hybrid systems
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ABSTRACT COVID19 leads to a severe respiratory symptom and it is associated with highly Intensive Care Unit (ICU) admissions and death. Early diagnosis with coronavirus leads to limit its wide-spreading. Real-time reverse transcription-polymerase chain reaction (RT

Accuracy of Low-Dose Chest CT Scan in Detection of COVID19
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We read the informative article published by Dangis et al in the journal about the accuracy of low-dose chest CT in the diagnosis of COVID19 disease (1). Considering that in many settings chest CT scan is used widely for detection of COVID19 pneumonia, using a low

Clinical significance of IgM and IgG test for diagnosis of highly suspected COVID19 infection
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IgM and IgG single detection for COVID19 According to the nucleic acid test results, we performed IgM and IgG detection by the Diagreat company Combination of IgM and IgG detection for COVID19 As shown in Figure 3A, combination of IgM and IgG detection for

Biodetection dogs for COVID19: an alternative diagnostic screening strategy
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Page 4. Bio- detection dogs for COVID19 2 28 Grandjean D, Sarkis R, Tourtier JP, Julien C, Desquilbet L. Detection dogs as a help in the 155 detection of COVID19: Can the dog alert on COVID19 positive persons by sniffing axillary 156 sweat samples Proof-of-concept study

Saliva as a non-invasive specimen for detection of SARS-CoV-2
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E Williams, K Bond, B Zhang, M Putland Journal of clinical Am Soc Microbiol 2020. Consistent detection of novel coronavirus in saliva. Clin Infect Dis 78 doi:10.1093/cid/ciaa149. 79 80 5. Ranney ML, Griffeth V, Jha AK. 2020. Critical Supply Shortages The Need for Ventilators and 81 Personal Protective Equipment during the Covid19 Pandemic

Current practice and potential strategy in diagnosing COVID19
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Nevertheless, containing COVID19 demands detection meth- ods with large scale screening and field detection ability, neither of which is satisfied by etiological detection or medical imaging technology. Fortunately, a qualified method was success- fully developed31

Dldroid: feature selection based malware detection framework for android apps developed during covid19
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COVID19 acted as a window of opportunity for cyber criminals to develop malware-infected apps. During this lockdown period, everyone is sitting at homes and interacting with others mostly through smartphones. With an exponential increase in Android apps and hence in

Extracting possibly representative COVID19 biomarkers from X-ray images with deep learning approach and image data related to pulmonary diseases
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Besides, to focus on the performance of COVID19 detection the following values are recorded: (a) Correctly predicted COVID19 cases (True Positives), (b) Correctly predicted non- COVID19 cases (True Negatives), (c) Incor- rectly predicted COVID19 cases (False PositivesBackground The novel coronavirus disease ( COVID19) outbreak started in Wuhan, Hubei, China since and cases of infection have been continuously reported in various countries. It is now clear that the SARS-COV-2 coronavirus is transmissible from

Seeding COVID19 across sub-Saharan Africa: an analysis of reported importation events across 40 countries
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Reporting on COVID detection and response efforts, as well as on trends in non- COVID illness and care-seeking behavior, is critical to assessing direct and indirect consequences and capacity needs in resource- constrained settings

Viral and Bacterial Pneumonia Detection using Artificial Intelligence in the Era of COVID19
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Background: The outbreak of COVID19 on the eve of January has led to global crisis around the world. The disease was declared pandemic by World Health Organization (WHO) in mid-March. Currently the outbreak has affected more than 150 countries with more

Clinical Features and Detection Methods of Covid19 Asymptomatic Patients
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It needs find the patients and cut off its transmission routes to effectively control the novel coronavirus disease ( COVID19), while the COVID19 asymptomatic patients bring a great challenge to control the epidemic. It is essential for controlling epidemic to effectively screen

A deep learning framework for coronavirus disease ( covid19) detection in x-ray images
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Coronavirus, a large family of viruses, causes illness in both humans and animals. The novel coronavirus ( COVID19) came up in Wuhan in December 2019. This deadly COVID 19 pandemic has become very fast-spreading and currently present in several countries

Estimating underdetection of internationally imported COVID19 cases
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Singapore has historically had very strong epidemiological surveillance and contact-tracing capacity and has shown in the COVID19 epidemic evidence of a high sensitivity of case detection . We therefore used a Bayesian modeling approach toThis paper presents a new method of detection Covid19 fever symptoms depending on IoT cloud services to solve the higher time delay of checking the crowded clients that enter public or private agencies which can lead to a dangerous field to spread the disease. An

Lung ultrasonography versus chest CT in COVID19 pneumonia: a two-centered retrospective comparison study from China
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rapid spread and fast progression of coronavirus disease ( COVID19) call for early screening, detection and timely monitoring by imaging modalities

The role of imaging in the detection and management of COVID19: a review
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Coronavirus disease ( COVID19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is spreading rapidly around the world, resulting in a massive death toll. Lung infection or pneumonia is the common complication of COVID1 and

Modes of transmission of virus causing COVID19: implications for IPC precaution recommendations: scientific brief, 27 March 2020
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Implications of recent findings of detection of COVID19 virus from air sampling To date, some scientific publications provide initial evidence on whether the COVID19 virus can be detected in the air and thus, potentially involve airborne transmission

COVID19 and Indonesia
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The access is crucial for doctors and scientists, so that statistical analysis of the data bring about suggestion and recommendation for the prevention of COVID1 early detection as well as the patient-centred treatment

Chest CT for detecting COVID19: a systematic review and meta-analysis of diagnostic accuracy
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We included studies providing information regarding diagnostic test accuracy of chest CT for COVID19 detection Chest CT plays an important role in detection of COVID 1 especially in the initial and peak periods of epidemic, in China

Chest X-ray scanning based detection of COVID19 using deepconvolutional neural network
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Everyones life on earth influenced by a global coronavirus outbreak COVID19. Two regular practices, pathology tests, and Computer Tomography (CT) scan used to diagnose COVID 19. Pathology tests produce a considerable amount of false-positives are time-consuming