Improving mathematical modeling of interventions to prevent healthcare-associated infections by interrupting transmission or pathogens: How common modeling assumptions about colonized individuals impact intervention effectiveness estimates.
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| Title: | Improving mathematical modeling of interventions to prevent healthcare-associated infections by interrupting transmission or pathogens: How common modeling assumptions about colonized individuals impact intervention effectiveness estimates. |
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| Authors: | Gowler CD; Division of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.; Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, Michigan, United States of America., Slayton RB; Division of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America., Reddy SC; Division of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America., O'Hagan JJ; Division of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America. |
| Source: | PloS one [PLoS One] 2022 Feb 28; Vol. 17 (2), pp. e0264344. Date of Electronic Publication: 2022 Feb 28 (Print Publication: 2022). |
| Publication Type: | Journal Article |
| 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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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 35226689 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Improving mathematical modeling of interventions to prevent healthcare-associated infections by interrupting transmission or pathogens: How common modeling assumptions about colonized individuals impact intervention effectiveness estimates. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Gowler+CD%22">Gowler CD</searchLink>; Division of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.; Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, Michigan, United States of America.<br /><searchLink fieldCode="AU" term="%22Slayton+RB%22">Slayton RB</searchLink>; Division of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.<br /><searchLink fieldCode="AU" term="%22Reddy+SC%22">Reddy SC</searchLink>; Division of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.<br /><searchLink fieldCode="AU" term="%22O'Hagan+JJ%22">O'Hagan JJ</searchLink>; Division of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101285081%22">PloS one</searchLink> [PLoS One] 2022 Feb 28; Vol. 17 (2), pp. e0264344. <i>Date of Electronic Publication: </i>2022 Feb 28 (<i>Print Publication: </i>2022). – 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="%22Public+Library+of+Science%22">Public Library of Science </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101285081 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>1932-6203 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2219326203%22">19326203 </searchLink><i>NLM ISO Abbreviation: </i>PLoS One <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=35226689 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pone.0264344 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: e0264344 Titles: – TitleFull: Improving mathematical modeling of interventions to prevent healthcare-associated infections by interrupting transmission or pathogens: How common modeling assumptions about colonized individuals impact intervention effectiveness estimates. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Gowler CD – PersonEntity: Name: NameFull: Slayton RB – PersonEntity: Name: NameFull: Reddy SC – PersonEntity: Name: NameFull: O'Hagan JJ IsPartOfRelationships: – BibEntity: Dates: – D: 28 M: 02 Text: 2022 Feb 28 Type: published Y: 2022 Identifiers: – Type: issn-electronic Value: 1932-6203 Numbering: – Type: volume Value: 17 – Type: issue Value: 2 Titles: – TitleFull: PloS one Type: main |
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