https://www.socictopen.socict.org/files/original/0c18a130ce704497e49adab54b4d43b1.pdf 023857cc2a777c91a369b3341bc2f718 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 Rapid Identification of Emerging Pathogens: Coronavirus Creator An entity primarily responsible for making the resource Yun Jiang, Thomas A. Hall, Rangarajan Sampath, Michael J. Buchmeier, John A. McNeil, David J Ecker, Mark W Eshoo, Raymond Ranken, Steven A Hofstadler, Lawrence B Blyn, Christian Massire, Stanley T Crooke, Patina M Harrell, Benjamin Neuman, Harold M. Levene, James C. Hannis, Jared J. Drader, Vivek Samant, Richard H. Griffey Description An account of the resource We describe a new approach for infectious disease surveillance that facilitates rapid identification of known and emerging pathogens. The process uses broad-range polymerase chain reaction (PCR) to amplify nucleic acid targets from large groupings of organisms, electrospray ionization mass spectrometry for accurate mass measurements of PCR products, and base composition signature analysis to identify organisms in a sample. We demonstrate this principle by using 14 isolates of 9 diverse Coronavirus spp., including the severe acute respiratory syndrome–associated coronavirus (SARS-CoV). We show that this method could identify and distinguish between SARS and other known CoV, including the human CoV 229E and OC43, individually and in a mixture of all 3 human viruses. The sensitivity of detection, measured by using titered SARS-CoV spiked into human serum, was ≈1 PFU/mL. This approach, applicable to the surveillance of bacterial, viral, fungal, or protozoal pathogens, is capable of automated analysis of >900 PCR reactions per day. Date A point or period of time associated with an event in the lifecycle of the resource 2005 Subject The topic of the resource PCR, molecular epidemiology, emerging pathogens, Infectious disease surveillance, SARS virus, ESI mass spectrometry Identifier An unambiguous reference to the resource within a given context DOI: 10.3201/eid1103.040629 Source A related resource from which the described resource is derived Emerging Infectious Diseases Publisher An entity responsible for making the resource available Centers for Disease Control and Prevention Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Infectious and parasitic diseases, Medicine