A Bayesian approach for detecting a disease that is not being modeled.
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| Title: | A Bayesian approach for detecting a disease that is not being modeled. |
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| Authors: | Aronis JM; Real-time Outbreak and Disease Surveillance (RODS) Laboratory, Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America., Ferraro JP; Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, United States of America., Gesteland PH; Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, United States of America., Tsui F; Real-time Outbreak and Disease Surveillance (RODS) Laboratory, Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America., Ye Y; Real-time Outbreak and Disease Surveillance (RODS) Laboratory, Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America., Wagner MM; Real-time Outbreak and Disease Surveillance (RODS) Laboratory, Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America., Cooper GF; Real-time Outbreak and Disease Surveillance (RODS) Laboratory, Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America. |
| Source: | PloS one [PLoS One] 2020 Feb 28; Vol. 15 (2), pp. e0229658. Date of Electronic Publication: 2020 Feb 28 (Print Publication: 2020). |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0229658 |
