| Title | Detection Principle | DOI | Testing Method Category | Peer Reviewed | Navigate |
|---|---|---|---|---|---|
| Title: Current diagnostic tools for coronaviruses-From laboratory diagnosis to POC diagnosis for COVID-19 | Detection principle: Review | DOI: 10.1002/btm2.10177 | Testing method category: | Peer reviewed: No | Go to details |
| Title: Data science and the role of Artificial Intelligence in achieving the fast diagnosis of Covid-19 | Detection principle: Imaging-Others | DOI: 10.1016/j.chaos.2020.110182 | Testing method category: Mixed | Peer reviewed: No | Go to details |
| Title: ddPCR: a more accurate tool for SARS-CoV-2 detection in low viral load specimens | Detection principle: NucleicAcid-PCR based | DOI: 10.1080/22221751.2020.1772678 | Testing method category: | Peer reviewed: No | Go to details |
| Title: ddPCR: a more sensitive and accurate tool for SARS-CoV-2 detection in low viral load specimens | Detection principle: NucleicAcid-PCR based | DOI: 10.1101/2020.02.29.20029439 | Testing method category: WHO method(s) | Peer reviewed: No | Go to details |
| Title: Deep learning applications in pulmonary medical imaging: recent updates and insights on COVID-19 | Detection principle: Review | DOI: 10.1007/s00138-020-01101-5 | Testing method category: | Peer reviewed: No | Go to details |
| Title: Deep learning COVID-19 detection bias: accuracy through artificial intelligence | Detection principle: Imaging-X-ray | DOI: 10.1007/s00264-020-04609-7 | Testing method category: Other | Peer reviewed: No | Go to details |
| Title: Deep learning system to screen coronavirus disease 2019 pneumonia | Detection principle: Others | DOI: 10.1007/s10489-020-01714-3 | Testing method category: | Peer reviewed: No | Go to details |
| Title: Deep Learning-Based Decision-Tree Classifier for COVID-19 Diagnosis From Chest X-ray Imaging | Detection principle: Imaging-X-ray | DOI: 10.3389/fmed.2020.00427 | Testing method category: | Peer reviewed: No | Go to details |
| Title: Deep throat saliva as an alternative diagnostic specimen type for the detection of SARS-CoV-2 | Detection principle: NucleicAcid-PCR based | DOI: 10.1002/jmv.26258 | Testing method category: PCR_KIT | Peer reviewed: No | Go to details |
| Title: Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning | Detection principle: Imaging-X-ray | DOI: 10.1016/j.media.2020.101794 | Testing method category: | Peer reviewed: No | Go to details |
| Title: Delayed specific IgM antibody responses observed among COVID-19 patients with severe progression | Detection principle: ImmunoAssay-Antibody | DOI: 10.1080/22221751.2020.1766382 | Testing method category: GICA | Peer reviewed: No | Go to details |
| Title: Deploying Machine and Deep Learning Models for Efficient Data-Augmented Detection of COVID-19 Infections | Detection principle: Imaging-Others | DOI: 10.3390/v12070769 | Testing method category: | Peer reviewed: No | Go to details |
| Title: Detection and analysis of nucleic acid in various biological samples of COVID-19 patients | Detection principle: NucleicAcid-PCR based | DOI: 10.1016/j.tmaid.2020.101673 | Testing method category: PCR_KIT | Peer reviewed: No | Go to details |
| Title: Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR | Detection principle: NucleicAcid-PCR based | DOI: 10.2807/1560-7917.ES.2020.25.3.2000045 | Testing method category: WHO method(s) | Peer reviewed: No | Go to details |
| Title: Detection of coronavirus disease (COVID-19) based on deep features and support vector machine | Detection principle: Imaging-X-ray | DOI: 10.33889/IJMEMS.2020.5.4.052 | Testing method category: | Peer reviewed: No | Go to details |
| Title: Detection of COVID-19 Infection from Routine Blood Exams with Machine Learning: a Feasibility Study | Detection principle: Others | DOI: 10.1101/2020.04.22.20075143 | Testing method category: In_silico | Peer reviewed: No | Go to details |
| Title: Detection of COVID-19 Infection from Routine Blood Exams with Machine Learning: A Feasibility Study | Detection principle: Others | DOI: 10.1007/s10916-020-01597-4 | Testing method category: In_silico | Peer reviewed: No | Go to details |
| Title: Detection of COVID-19: A review of the current literature and future perspectives | Detection principle: Others | DOI: 10.1016/j.bios.2020.112455 | Testing method category: Mixed | Peer reviewed: No | Go to details |
| Title: Detection of IgM and IgG antibodies against SARS-CoV-2 in patients with autoimmune diseases | Detection principle: ImmunoAssay-Antibody | DOI: 10.1016/S2665-9913(20)30128-4 | Testing method category: | Peer reviewed: No | Go to details |
| Title: Detection of IgM and IgG antibodies in patients with coronavirus disease 2019 | Detection principle: ImmunoAssay-Antibody | DOI: 10.1002/cti2.1136 | Testing method category: | Peer reviewed: No | Go to details |
| Title: Detection of low levels of SARS-CoV-2 RNA from nasopharyngeal swabs using three commercial molecular assays | Detection principle: NucleicAcid-PCR based | DOI: 10.1016/j.jcv.2020.104387 | Testing method category: PCR_KIT | Peer reviewed: No | Go to details |
| Title: Detection of novel coronaviruses in bats in Myanmar | Detection principle: NucleicAcid-PCR based | DOI: 10.1371/journal.pone.0230802 | Testing method category: Other PCR method(s) | Peer reviewed: No | Go to details |
| Title: Detection of Nucleocapsid Antibody to SARS-CoV-2 is More Sensitive than Antibody to Spike Protein in COVID-19 Patients | Detection principle: ImmunoAssay-Antibody | DOI: 10.1101/2020.04.20.20071423 | Testing method category: | Peer reviewed: No | Go to details |
| Title: Detection of SARS-CoV-2 antibodies using commercial assays and seroconversion patterns in hospitalized patients | Detection principle: ImmunoAssay-Antibody | DOI: 10.1016/j.jinf.2020.05.077 | Testing method category: Mixed | Peer reviewed: No | Go to details |
| Title: Detection of SARS-CoV-2 by RT-PCR in anal from patients who have recovered from coronavirus disease 2019 | Detection principle: NucleicAcid-PCR based | DOI: 10.1002/jmv.25875 | Testing method category: PCR_KIT | 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