Modeling Nosocomial Transmission of Rotavirus in Pediatric Wards
Identifieur interne : 001F73 ( Istex/Corpus ); précédent : 001F72; suivant : 001F74Modeling Nosocomial Transmission of Rotavirus in Pediatric Wards
Auteurs : Christopher M. Kribs-Zaleta ; Jean-François Jusot ; Philippe Vanhems ; Sandrine CharlesSource :
- Bulletin of Mathematical Biology [ 0092-8240 ] ; 2011-07-01.
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Abstract
Abstract: Nosocomial transmission of viral and bacterial infections is a major problem worldwide, affecting millions of patients (and causing hundreds of thousands of deaths) per year. Rotavirus infections affect most children worldwide at least once before age five. We present here deterministic and stochastic models for the transmission of rotavirus in a pediatric hospital ward and draw on published data to compare the efficacy of several possible control measures in reducing the number of infections during a 90-day outbreak, including cohorting, changes in healthcare worker-patient ratio, improving compliance with preventive hygiene measures, and vaccination. Although recently approved vaccines have potential to curtail most nosocomial rotavirus transmission in the future, even short-term improvement in preventive hygiene compliance following contact with symptomatic patients may significantly limit transmission as well, and remains an important control measure, especially where resources are limited.
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DOI: 10.1007/s11538-010-9570-z
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ISTEX:E56989C884BB714FA6C1A7EE607CE748B03E6D44Le document en format XML
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Rotavirus infections affect most children worldwide at least once before age five. We present here deterministic and stochastic models for the transmission of rotavirus in a pediatric hospital ward and draw on published data to compare the efficacy of several possible control measures in reducing the number of infections during a 90-day outbreak, including cohorting, changes in healthcare worker-patient ratio, improving compliance with preventive hygiene measures, and vaccination. Although recently approved vaccines have potential to curtail most nosocomial rotavirus transmission in the future, even short-term improvement in preventive hygiene compliance following contact with symptomatic patients may significantly limit transmission as well, and remains an important control measure, especially where resources are limited.</div></front></TEI><istex><corpusName>springer-journals</corpusName><author><json:item><name>Christopher M. 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Rotavirus infections affect most children worldwide at least once before age five. We present here deterministic and stochastic models for the transmission of rotavirus in a pediatric hospital ward and draw on published data to compare the efficacy of several possible control measures in reducing the number of infections during a 90-day outbreak, including cohorting, changes in healthcare worker-patient ratio, improving compliance with preventive hygiene measures, and vaccination. Although recently approved vaccines have potential to curtail most nosocomial rotavirus transmission in the future, even short-term improvement in preventive hygiene compliance following contact with symptomatic patients may significantly limit transmission as well, and remains an important control measure, especially where resources are limited.</Para></Abstract><KeywordGroup Language="En"><Heading>Keywords</Heading><Keyword>Rotavirus</Keyword><Keyword>Nosocomial infections</Keyword><Keyword>Dynamical systems</Keyword><Keyword>Stochastic model</Keyword><Keyword>Preventive measures</Keyword></KeywordGroup></ArticleHeader><NoBody></NoBody></Article></Issue></Volume></Journal></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Modeling Nosocomial Transmission of Rotavirus in Pediatric Wards</title></titleInfo><titleInfo type="alternative" contentType="CDATA"><title>Modeling Nosocomial Transmission of Rotavirus in Pediatric Wards</title></titleInfo><name type="personal" displayLabel="corresp"><namePart type="given">Christopher</namePart><namePart type="given">M.</namePart><namePart type="family">Kribs-Zaleta</namePart><affiliation>CNRS, UMR5558, Laboratoire de Biométrie et Biologie Évolutive, Université Lyon 1, Université de Lyon, 69622, Villeurbanne, France</affiliation><affiliation>Departments of Mathematics and Curriculum & Instruction, University of Texas at Arlington, 76019-0408, Arlington, TX, USA</affiliation><affiliation>E-mail: kribs@uta.edu</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Jean-François</namePart><namePart type="family">Jusot</namePart><affiliation>Epidemiology Unit, Cermes, BP 10887, Niamey, Niger</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Philippe</namePart><namePart type="family">Vanhems</namePart><affiliation>CNRS, UMR5558, Laboratoire de Biométrie et Biologie Évolutive, Université Lyon 1, Université de Lyon, 69622, Villeurbanne, France</affiliation><affiliation>Hôpital Edouard Herriot, Service d’Hygiène, Epidémiologie et Prévention, Hospices Civils de Lyon, Lyon, France</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Sandrine</namePart><namePart type="family">Charles</namePart><affiliation>CNRS, UMR5558, Laboratoire de Biométrie et Biologie Évolutive, Université Lyon 1, Université de Lyon, 69622, Villeurbanne, France</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="research-article" displayLabel="OriginalPaper" authority="ISTEX" authorityURI="https://content-type.data.istex.fr" valueURI="https://content-type.data.istex.fr/ark:/67375/XTP-1JC4F85T-7">research-article</genre><originInfo><publisher>Springer-Verlag</publisher><place><placeTerm type="text">New York</placeTerm></place><dateCreated encoding="w3cdtf">2010-03-23</dateCreated><dateIssued encoding="w3cdtf">2011-07-01</dateIssued><copyrightDate encoding="w3cdtf">2010</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><abstract lang="en">Abstract: Nosocomial transmission of viral and bacterial infections is a major problem worldwide, affecting millions of patients (and causing hundreds of thousands of deaths) per year. Rotavirus infections affect most children worldwide at least once before age five. We present here deterministic and stochastic models for the transmission of rotavirus in a pediatric hospital ward and draw on published data to compare the efficacy of several possible control measures in reducing the number of infections during a 90-day outbreak, including cohorting, changes in healthcare worker-patient ratio, improving compliance with preventive hygiene measures, and vaccination. Although recently approved vaccines have potential to curtail most nosocomial rotavirus transmission in the future, even short-term improvement in preventive hygiene compliance following contact with symptomatic patients may significantly limit transmission as well, and remains an important control measure, especially where resources are limited.</abstract><note>Original Article</note><subject lang="en"><genre>Keywords</genre><topic>Rotavirus</topic><topic>Nosocomial infections</topic><topic>Dynamical systems</topic><topic>Stochastic model</topic><topic>Preventive measures</topic></subject><relatedItem type="host"><titleInfo><title>Bulletin of Mathematical Biology</title><subTitle>A Journal Devoted to Research at the Junction of Computational, Theoretical and Experimental BiologyOfficial Journal of The Society for Mathematical Biology</subTitle></titleInfo><titleInfo type="abbreviated"><title>Bull Math Biol</title></titleInfo><genre type="journal" authority="ISTEX" authorityURI="https://publication-type.data.istex.fr" valueURI="https://publication-type.data.istex.fr/ark:/67375/JMC-0GLKJH51-B">journal</genre><originInfo><publisher>Springer</publisher><dateIssued encoding="w3cdtf">2011-05-17</dateIssued><copyrightDate encoding="w3cdtf">2011</copyrightDate></originInfo><subject><genre>Mathematics</genre><topic>Cell Biology</topic><topic>Life Sciences, general</topic><topic>Mathematical and Computational Biology</topic></subject><identifier type="ISSN">0092-8240</identifier><identifier type="eISSN">1522-9602</identifier><identifier type="JournalID">11538</identifier><identifier type="IssueArticleCount">12</identifier><identifier type="VolumeIssueCount">12</identifier><part><date>2011</date><detail type="volume"><number>73</number><caption>vol.</caption></detail><detail type="issue"><number>7</number><caption>no.</caption></detail><extent unit="pages"><start>1413</start><end>1442</end></extent></part><recordInfo><recordOrigin>Society for Mathematical Biology, 2011</recordOrigin></recordInfo></relatedItem><identifier type="istex">E56989C884BB714FA6C1A7EE607CE748B03E6D44</identifier><identifier type="ark">ark:/67375/VQC-X4296FJS-J</identifier><identifier type="DOI">10.1007/s11538-010-9570-z</identifier><identifier type="ArticleID">9570</identifier><identifier type="ArticleID">s11538-010-9570-z</identifier><accessCondition type="use and reproduction" contentType="copyright">Society for Mathematical Biology, 2010</accessCondition><recordInfo><recordContentSource authority="ISTEX" authorityURI="https://loaded-corpus.data.istex.fr" valueURI="https://loaded-corpus.data.istex.fr/ark:/67375/XBH-3XSW68JL-F">springer</recordContentSource><recordOrigin>Society for Mathematical Biology, 2010</recordOrigin></recordInfo></mods><json:item><extension>json</extension><original>false</original><mimetype>application/json</mimetype><uri>https://api.istex.fr/ark:/67375/VQC-X4296FJS-J/record.json</uri></json:item></metadata><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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