| Title | Detection Principle | DOI | Testing Method Category | Peer Reviewed | Navigate |
|---|---|---|---|---|---|
| Title: Correlation of ELISA based with random access serologic immunoassays for identifying adaptive immune response to SARS-CoV-2 | Detection principle: ImmunoAssay-Antibody | DOI: 10.1101/2020.07.06.20145938 | Testing method category: | Peer reviewed: No | Go to details |
| Title: Cotton tipped plastic swabs for SARS-CoV-2 RT-qPCR diagnosis to prevent supplies shortage | Detection principle: NucleicAcid-PCR based | DOI: 10.1101/2020.04.28.20079947 | Testing method category: PCR_KIT | Peer reviewed: No | Go to details |
| Title: CoV2ID: Detection and Therapeutics Oligo Database for SARS-CoV-2 | Detection principle: NucleicAcid-PCR based | DOI: 10.1101/2020.04.19.048991 | Testing method category: In_silico | Peer reviewed: No | Go to details |
| Title: COVID 19 diagnostic multiplicity and its role in community surveillance and control | Detection principle: Others | DOI: 10.14293/S2199-1006.1.SOR-.PPA94RC.v1 | Testing method category: Mixed | Peer reviewed: No | Go to details |
| Title: COVID faster R-CNN: A novel framework to Diagnose Novel Coronavirus Disease (COVID-19) in X-Ray images | Detection principle: Imaging-X-ray | DOI: 10.1016/j.imu.2020.100405 | Testing method category: Other | Peer reviewed: No | Go to details |
| Title: COVID-19 Antibody Seroprevalence in Santa Clara County, California | Detection principle: ImmunoAssay-Antibody | DOI: 10.1101/2020.04.14.20062463 | Testing method category: | Peer reviewed: No | Go to details |
| Title: COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches | Detection principle: Imaging-CT scan | DOI: 10.1016/j.compbiomed.2020.103805 | Testing method category: In_silico | Peer reviewed: No | Go to details |
| Title: COVID-19 diagnosis and study of serum SARS-CoV-2 specific IgA, IgM and IgG by a quantitative and sensitive immunoassay | Detection principle: ImmunoAssay-Antibody | DOI: 10.1101/2020.04.17.20064907 | Testing method category: | Peer reviewed: No | Go to details |
| Title: COVID-19 diagnosis prediction in emergency care patients: a machine learning approach | Detection principle: Others | DOI: 10.1101/2020.04.04.20052092 | Testing method category: In_silico | Peer reviewed: No | Go to details |
| Title: COVID-19 diagnostics for resource-limited settings: Evaluation of unextracted qRT-PCR | Detection principle: NucleicAcid-PCR based | DOI: 10.1002/jmv.26328 | Testing method category: RT-PCR | Peer reviewed: No | Go to details |
| Title: COVID-19 Experience: First Italian Survey on Healthcare Staff Members from a Mother-Child Research Hospital Using Combined Molecular and Rapid Immunoassay Tests | Detection principle: mixed | DOI: 10.2139/ssrn.3592658 | Testing method category: Mixed | Peer reviewed: No | Go to details |
| Title: COVID-19 Fatality and Comorbidity Risk Factors among Confirmed Patients in Mexico | Detection principle: Others | DOI: 10.1101/2020.04.21.20074591 | Testing method category: In_silico | Peer reviewed: No | Go to details |
| 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 |
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