https://www.socictopen.socict.org/files/original/3799fbbc0643b8eba20bd133c4ca7783.pdf a089802de48262220eadfb50b411ca18 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Novel rapid identification of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) by real-time RT-PCR using BD Max Open System in Taiwan Creator An entity primarily responsible for making the resource Cherng-Lih Perng, Chien-Wen Chen, Feng-Yee Chang, Chih-Kai Chang, Shih-Hung Tsai, Kuo-Ming Yeh, Jung-Chung Lin, Sheng-Kang Chiu, Hung-Sheng Shang, Yihui Wang, Ming-Jr Jian, Hsing-Yi Chung, Shu-Jung Liao, Shih-Yi Li, Shan-Shan Hsieh Description An account of the resource Coronavirus disease 2019 has become a worldwide pandemic. By April 7, 2020, approximately 1,279,722 confirmed cases were reported worldwide including those in Asia, European Region, African Region and Region of the Americas. Rapid and accurate detection of Severe Acute Respiratory Syndrome Virus 2 (SARS-CoV-2) is critical for patient care and implementing public health measures to control the spread of infection. In this study, we developed and validated a rapid total nucleic acid extraction method based on real‐time RT-PCR for reliable, high‐throughput identification of SARS-CoV-2 using the BD MAX platform. For clinical validation, 300 throat swab and 100 sputum clinical samples were examined by both the BD MAX platform and in-house real-time RT-PCR methods, which showed 100% concordant results. This BD MAX protocol is fully automated and the turnaround time from sample to results is approximately 2.5 h for 24 samples compared to 4.8 h by in-house real-time RT-PCR. Our developed BD MAX RT-PCR assay can accurately identify SARS-CoV-2 infection and shorten the turnaround time to increase the effectiveness of control and prevention measures for this emerging infectious disease. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Real-time RT-PCR, SARS-CoV-2, BD Max platform Identifier An unambiguous reference to the resource within a given context DOI: 10.7717/peerj.9318 Source A related resource from which the described resource is derived PeerJ Publisher An entity responsible for making the resource available PeerJ Inc. Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Medicine