Predictive intelligence for future vibriosis risk in the eastern United States employing Bayesian spatial modeling.
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| Title: | Predictive intelligence for future vibriosis risk in the eastern United States employing Bayesian spatial modeling. |
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| Authors: | Magers BM; Geohealth and Hydrology Laboratory, Department of Environmental Engineering Sciences, University of Florida, Gainesville, Florida, USA., Kumar S; Geohealth and Hydrology Laboratory, Department of Environmental Engineering Sciences, University of Florida, Gainesville, Florida, USA., Brumfield KD; Maryland Pathogen Research Institute, University of Maryland, College Park, Maryland, USA.; University of Maryland Institute for Advanced Computer Studies, University of Maryland, College Park, Maryland, USA.; Cell Biology and Molecular Genetics, University of Maryland, College Park, Maryland, USA., Deliz Quiñones K; Department of Environmental Engineering Sciences, University of Florida, Gainesville, Florida, USA., Colwell RR; Maryland Pathogen Research Institute, University of Maryland, College Park, Maryland, USA.; University of Maryland Institute for Advanced Computer Studies, University of Maryland, College Park, Maryland, USA.; Cell Biology and Molecular Genetics, University of Maryland, College Park, Maryland, USA., Jutla AS; Geohealth and Hydrology Laboratory, Department of Environmental Engineering Sciences, University of Florida, Gainesville, Florida, USA. |
| Source: | Applied and environmental microbiology [Appl Environ Microbiol] 2026 Apr 22; Vol. 92 (4), pp. e0213525. Date of Electronic Publication: 2026 Mar 11. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: American Society for Microbiology Country of Publication: United States NLM ID: 7605801 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1098-5336 (Electronic) Linking ISSN: 00992240 NLM ISO Abbreviation: Appl Environ Microbiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41810964 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Predictive intelligence for future vibriosis risk in the eastern United States employing Bayesian spatial modeling. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Magers+BM%22">Magers BM</searchLink>; Geohealth and Hydrology Laboratory, Department of Environmental Engineering Sciences, University of Florida, Gainesville, Florida, USA.<br /><searchLink fieldCode="AU" term="%22Kumar+S%22">Kumar S</searchLink>; Geohealth and Hydrology Laboratory, Department of Environmental Engineering Sciences, University of Florida, Gainesville, Florida, USA.<br /><searchLink fieldCode="AU" term="%22Brumfield+KD%22">Brumfield KD</searchLink>; Maryland Pathogen Research Institute, University of Maryland, College Park, Maryland, USA.; University of Maryland Institute for Advanced Computer Studies, University of Maryland, College Park, Maryland, USA.; Cell Biology and Molecular Genetics, University of Maryland, College Park, Maryland, USA.<br /><searchLink fieldCode="AU" term="%22Deliz+Quiñones+K%22">Deliz Quiñones K</searchLink>; Department of Environmental Engineering Sciences, University of Florida, Gainesville, Florida, USA.<br /><searchLink fieldCode="AU" term="%22Colwell+RR%22">Colwell RR</searchLink>; Maryland Pathogen Research Institute, University of Maryland, College Park, Maryland, USA.; University of Maryland Institute for Advanced Computer Studies, University of Maryland, College Park, Maryland, USA.; Cell Biology and Molecular Genetics, University of Maryland, College Park, Maryland, USA.<br /><searchLink fieldCode="AU" term="%22Jutla+AS%22">Jutla AS</searchLink>; Geohealth and Hydrology Laboratory, Department of Environmental Engineering Sciences, University of Florida, Gainesville, Florida, USA. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%227605801%22">Applied and environmental microbiology</searchLink> [Appl Environ Microbiol] 2026 Apr 22; Vol. 92 (4), pp. e0213525. <i>Date of Electronic Publication: </i>2026 Mar 11. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22American+Society+for+Microbiology%22">American Society for Microbiology </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>7605801 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1098-5336 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200992240%22">00992240 </searchLink><i>NLM ISO Abbreviation: </i>Appl Environ Microbiol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41810964 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1128/aem.02135-25 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: e0213525 Titles: – TitleFull: Predictive intelligence for future vibriosis risk in the eastern United States employing Bayesian spatial modeling. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Magers BM – PersonEntity: Name: NameFull: Kumar S – PersonEntity: Name: NameFull: Brumfield KD – PersonEntity: Name: NameFull: Deliz Quiñones K – PersonEntity: Name: NameFull: Colwell RR – PersonEntity: Name: NameFull: Jutla AS IsPartOfRelationships: – BibEntity: Dates: – D: 22 M: 04 Text: 2026 Apr 22 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1098-5336 Numbering: – Type: volume Value: 92 – Type: issue Value: 4 Titles: – TitleFull: Applied and environmental microbiology Type: main |
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