| Title | Detection Principle | DOI | Testing Method Category | Peer Reviewed | Navigate |
|---|---|---|---|---|---|
| Title: COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios | Detection principle: Imaging-X-ray | DOI: 10.1016/j.cmpb.2020.105532 | Testing method category: In_silico | Peer reviewed: No | Go to details |
| Title: COVID-19 in Children: Clinical Approach and Management | Detection principle: NucleicAcid-PCR based | DOI: 10.1007/s12098-020-03292-1 | Testing method category: PCR_KIT | Peer reviewed: No | Go to details |
| Title: COVID-19 paraclinical diagnostic tools: Updates and future trends | Detection principle: review | DOI: 10.1016/j.retram.2020.06.001 | Testing method category: Mixed | Peer reviewed: No | Go to details |
| Title: COVID-19 pneumonia diagnosis using a simple 2d deep learning framework with a single chest CT image: Model development and validation | Detection principle: Imaging-CT scan | DOI: 10.2196/19569 | Testing method category: Mixed | Peer reviewed: No | Go to details |
| Title: COVID-19 pneumonia: high diagnostic accuracy of chest CT in patients with intermediate clinical probability | Detection principle: Imaging-CT scan | DOI: 10.1007/s00330-020-07346-y | Testing method category: Other | Peer reviewed: No | Go to details |
| Title: COVID-19 prediction and detection using deep learning | Detection principle: Others | DOI: / | Testing method category: In_silico | Peer reviewed: No | Go to details |
| Title: Covid-19 s: A new proposal for diagnosis and structured reporting of covid-19 on computed tomography imaging | Detection principle: Imaging-CT scan | DOI: 10.5152/dir.2020.20351 | Testing method category: Mixed | Peer reviewed: No | Go to details |
| Title: COVID-19 Screening with Chest CT in Acute Stroke Imaging: A Clinical Decision Model | Detection principle: Imaging-CT scan | DOI: 10.1111/jon.12746 | Testing method category: In_silico | Peer reviewed: No | Go to details |
| Title: COVID-19 Serological Tests: How Well Do They Actually Perform? | Detection principle: Review | DOI: 10.3390/diagnostics10070453 | Testing method category: | Peer reviewed: No | Go to details |
| Title: COVID-19 Special Column: Principles Behind the Technology for Detecting SARS-CoV-2, the Cause of COVID-19 | Detection principle: Others | DOI: / | Testing method category: Mixed | Peer reviewed: No | Go to details |
| Title: COVID-19 symptoms predictive of healthcare workers' SARS-CoV-2 PCR results | Detection principle: Mixed | DOI: 10.1371/journal.pone.0235460 | Testing method category: Mixed | Peer reviewed: No | Go to details |
| Title: COVID-19 target: A specific target for novel coronavirus detection | Detection principle: NucleicAcid-PCR based | DOI: 10.1016/j.genrep.2020.100740 | Testing method category: RT-PCR | Peer reviewed: No | Go to details |
| Title: COVID-19 Testing | Detection principle: review | DOI: 10.1093/ajcp/aqaa141 | Testing method category: In_silico | Peer reviewed: No | Go to details |
| Title: COVID-19: a meta-analysis of diagnostic test accuracy of commercial assays registered in Brazil | Detection principle: Others | DOI: 10.1016/j.bjid.2020.04.003 | Testing method category: In_silico | Peer reviewed: No | Go to details |
| Title: Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks | Detection principle: Imaging-CT scan | DOI: 10.1007/s13246-020-00865-4 | Testing method category: In_silico | Peer reviewed: No | Go to details |
| Title: COVID-19: Progress in diagnostics, therapy and vaccination | Detection principle: Review | DOI: 10.7150/thno.47987 | Testing method category: Mixed | Peer reviewed: No | Go to details |
| Title: COVID19 antibody detection using lateral flow assay tests in a cohort of convalescent plasma donors | Detection principle: ImmunoAssay-Antibody | DOI: 10.1186/s13104-020-05212-0 | Testing method category: | Peer reviewed: No | Go to details |
| Title: CovidGAN: Data Augmentation Using Auxiliary Classifier GAN for Improved Covid-19 Detection | Detection principle: Imaging-CT scan | DOI: 10.1109/ACCESS.2020.2994762 | Testing method category: In_silico | Peer reviewed: No | Go to details |
| Title: COVIDiag: a clinical CAD system to diagnose COVID-19 pneumonia based on CT findings | Detection principle: Imaging-CT scan | DOI: 10.1007/s00330-020-07087-y | Testing method category: In_silico | Peer reviewed: No | Go to details |
| Title: COVIDiagnosis-Net: Deep Bayes-SqueezeNet based diagnosis of the coronavirus disease 2019 (COVID-19) from X-ray images | Detection principle: Imaging-X-ray | DOI: 10.1016/j.mehy.2020.109761 | Testing method category: | Peer reviewed: No | Go to details |
| Title: COVIDier: A Deep-learning Tool For Coronaviruses Genome And Virulence Proteins Classification | Detection principle: Others | DOI: 10.1101/2020.05.03.075549 | Testing method category: In_silico | Peer reviewed: No | Go to details |
| Title: CovidNLP: A Web Application for Distilling Systemic Implications of COVID-19 Pandemic with Natural Language Processing | Detection principle: Others | DOI: 10.1101/2020.04.25.20079129 | Testing method category: In_silico | Peer reviewed: No | Go to details |
| Title: CovXNet: A multi-dilation convolutional neural network for automatic COVID-19 and other pneumonia detection from chest X-ray images with transferable multi-receptive feature optimization | Detection principle: Imaging-X-ray | DOI: 10.1016/j.compbiomed.2020.103869 | Testing method category: | Peer reviewed: No | Go to details |
| Title: CRISPR-based COVID-19 surveillance using a genomically-comprehensive machine learning approach | Detection principle: NucleicAcid-Others | DOI: 10.1101/2020.02.26.967026 | Testing method category: CRISPR | Peer reviewed: No | Go to details |
| Title: CRISPR-Cas12-based detection of SARS-CoV-2. | Detection principle: NucleicAcid-Others | DOI: 10.1038/s41587-020-0513-4 | Testing method category: CRISPR | Peer reviewed: No | Go to details |
The database contains available information from scientific literature that is being updated periodically. Please note that the provided information (as retrieved from analysed papers) is provided only for devices commercially available with CE-IVD mark. Acknowledgements