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COVID-19 In Vitro Diagnostic Devices and Test Methods Database

Scientific literature on COVID-19 Test Methods and Devices

Title Detection Principle DOI Testing Method Category Peer Reviewed Navigate
Title: Molecular, serological, and biochemical diagnosis and monitoring of COVID-19: IFCC taskforce evaluation of the latest evidence Detection principle: Review DOI: 10.1515/cclm-2020-0722 Testing method category: Mixed Peer reviewed: No Go to details
Title: Antibody tests in detecting SARS-CoV-2 infection: A meta-analysis Detection principle: Review DOI: 10.3390/diagnostics10050319 Testing method category:   Peer reviewed: No Go to details
Title: Diagnostic performance of serological assays in the detection of SARS-CoV-2: A review Detection principle: Review DOI: 10.3390/app10134506 Testing method category:   Peer reviewed: No Go to details
Title: The diagnosis of pandemic coronavirus pneumonia: A review of radiology examination and laboratory test. Detection principle: review DOI: 10.1016/j.jcv.2020.104396 Testing method category: Mixed Peer reviewed: No Go to details
Title: Sampling and detection of corona viruses in air: A mini review Detection principle: Review DOI: 10.1016/j.scitotenv.2020.140207 Testing method category: Other PCR method(s) Peer reviewed: No Go to details
Title: Chest CT for detecting COVID-19: a systematic review and meta-analysis of diagnostic accuracy Detection principle: review DOI: 10.1007/s00330-020-06934-2 Testing method category: Other Peer reviewed: No Go to details
Title: Overcoming the bottleneck to widespread testing: A rapid review of nucleic acid testing approaches for COVID-19 detection Detection principle: Review DOI: 10.1261/rna.076232.120 Testing method category: Peer reviewed: No Go to details
Title: Review of Current Advances in Serologic Testing for COVID-19 Detection principle: review DOI: 10.1093/ajcp/aqaa112 Testing method category: Mixed Peer reviewed: No Go to details
Title: Development of machine learning models to predict RT-PCR results for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in patients Detection principle: Others DOI: 10.1186/s13049-020-00808-8 Testing method category: In_silico Peer reviewed: No Go to details
Title: Accurate Identification of SARS-CoV-2 from Viral Genome Sequences using Deep Learning Detection principle: Others DOI: 10.1101/2020.03.13.990242 Testing method category: In_silico Peer reviewed: No Go to details
Title: Timely Diagnosis and Treatment Shortens the Time to Resolution of Coronavirus Disease (COVID-19) Pneumonia and Lowers the Highest and Last CT Scores From Sequential Chest CT Detection principle: Others DOI: 10.2214/AJR.20.23078 Testing method category: In_silico Peer reviewed: No Go to details
Title: Chest computed tomography for the diagnosis of patients with coronavirus disease 2019 (COVID-19): a rapid review and meta-analysis Detection principle: Others DOI: 10.21037/atm-20-3311 Testing method category: In_silico Peer reviewed: No Go to details
Title: Detection of SARS-CoV-2 in nasal swabs using MALDI-MS Detection principle: Others DOI: 10.1038/s41587-020-0644-7 Testing method category: Other Peer reviewed: No Go to details
Title: CT differential diagnosis of COVID-19 and non-COVID-19 in symptomatic suspects: a practical scoring method Detection principle: Others DOI: 10.1186/s12890-020-1170-6 Testing method category: In_silico Peer reviewed: No Go to details
Title: Development and utilization of an intelligent application for aiding COVID-19 diagnosis Detection principle: Others DOI: 10.1101/2020.03.18.20035816 Testing method category: In_silico Peer reviewed: No Go to details
Title: The role of procalcitonin in early differential diagnosis of suspected children with COVID-19 Detection principle: Others DOI: 10.1101/2020.04.07.20057315 Testing method category: Other Peer reviewed: No Go to details
Title: In silico approach to accelerate the development of mass spectrometry-based proteomics methods for detection of viral proteins: Application to COVID-19 Detection principle: Others DOI: 10.1101/2020.03.08.980383 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: Prediction models for diagnosis and prognosis of covid-19 infection: systematic review and critical appraisal Detection principle: Others DOI: 10.1136/bmj.m1328 Testing method category: In_silico Peer reviewed: No Go to details
Title: Genetic diversity among sars-cov2 strains in South America may impact performance of molecular detection Detection principle: Others DOI: 10.3390/pathogens9070580 Testing method category: In_silico Peer reviewed: No Go to details
Title: Rapid surveillance of COVID-19 in the United States using a prospective space-time scan statistic: Detecting and evaluating emerging clusters Detection principle: Others DOI: 10.1016/j.apgeog.2020.102202 Testing method category: In_silico Peer reviewed: No Go to details
Title: Use of Machine Learning and Artificial Intelligence to predict SARS-CoV-2 infection from Full Blood Counts in a population Detection principle: Others DOI: 10.1016/j.intimp.2020.106705 Testing method category: In_silico Peer reviewed: No Go to details
Title: The Utility of rRT-PCR in Diagnosis and Assessment of Case-fatality rates of COVID-19 In the Iranian Population. Positive Test Results are a Marker for Illness Severity Detection principle: Others DOI: 10.1101/2020.04.29.20085233 Testing method category:   Peer reviewed: No Go to details
Title: A Novel Scoring System for Prediction of Disease Severity in COVID-19 Detection principle: Others DOI: 10.3389/fcimb.2020.00318 Testing method category: In_silico Peer reviewed: No Go to details
Title: Development and validation of an automated radiomic CT signature for detecting COVID-19 Detection principle: Others DOI: 10.1101/2020.04.28.20082966 Testing method category:   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