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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">A model of antibiotic-resistant bacterial epidemics in hospitals</title><author><name sortKey="Webb, Glenn F" sort="Webb, Glenn F" uniqKey="Webb G" first="Glenn F." last="Webb">Glenn F. Webb</name><affiliation><nlm:aff id="N0x8bcd758.0x979f208">Department of Mathematics, Vanderbilt University, Nashville, TN 37240;</nlm:aff></affiliation></author><author><name sortKey="D Agata, Erika M C" sort="D Agata, Erika M C" uniqKey="D Agata E" first="Erika M. C." last="D'Agata">Erika M. C. D'Agata</name><affiliation><nlm:aff id="N0x8bcd758.0x979f208">Beth Israel Deaconess Medical Center, Harvard University, Boston, MA 02215;</nlm:aff></affiliation></author><author><name sortKey="Magal, Pierre" sort="Magal, Pierre" uniqKey="Magal P" first="Pierre" last="Magal">Pierre Magal</name><affiliation><nlm:aff wicri:cut="; and" id="N0x8bcd758.0x979f208">Faculté des Sciences et Techniques, Université du Havre, 76058 Le Havre, France</nlm:aff></affiliation></author><author><name sortKey="Ruan, Shigui" sort="Ruan, Shigui" uniqKey="Ruan S" first="Shigui" last="Ruan">Shigui Ruan</name><affiliation><nlm:aff id="N0x8bcd758.0x979f208">Department of Mathematics, University of Miami, Coral Gables, FL 33124-4250</nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">16141326</idno><idno type="pmc">1201589</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1201589</idno><idno type="RBID">PMC:1201589</idno><idno type="doi">10.1073/pnas.0504053102</idno><date when="2005">2005</date><idno type="wicri:Area/Pmc/Corpus">000124</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">A model of antibiotic-resistant bacterial epidemics in hospitals</title><author><name sortKey="Webb, Glenn F" sort="Webb, Glenn F" uniqKey="Webb G" first="Glenn F." last="Webb">Glenn F. Webb</name><affiliation><nlm:aff id="N0x8bcd758.0x979f208">Department of Mathematics, Vanderbilt University, Nashville, TN 37240;</nlm:aff></affiliation></author><author><name sortKey="D Agata, Erika M C" sort="D Agata, Erika M C" uniqKey="D Agata E" first="Erika M. C." last="D'Agata">Erika M. C. D'Agata</name><affiliation><nlm:aff id="N0x8bcd758.0x979f208">Beth Israel Deaconess Medical Center, Harvard University, Boston, MA 02215;</nlm:aff></affiliation></author><author><name sortKey="Magal, Pierre" sort="Magal, Pierre" uniqKey="Magal P" first="Pierre" last="Magal">Pierre Magal</name><affiliation><nlm:aff wicri:cut="; and" id="N0x8bcd758.0x979f208">Faculté des Sciences et Techniques, Université du Havre, 76058 Le Havre, France</nlm:aff></affiliation></author><author><name sortKey="Ruan, Shigui" sort="Ruan, Shigui" uniqKey="Ruan S" first="Shigui" last="Ruan">Shigui Ruan</name><affiliation><nlm:aff id="N0x8bcd758.0x979f208">Department of Mathematics, University of Miami, Coral Gables, FL 33124-4250</nlm:aff></affiliation></author></analytic><series><title level="j">Proceedings of the National Academy of Sciences of the United States of America</title><idno type="ISSN">0027-8424</idno><idno type="eISSN">1091-6490</idno><imprint><date when="2005">2005</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>The emergence of drug-resistant strains of bacteria is an increasing threat to society, especially in hospital settings. Many antibiotics that were formerly effective in combating bacterial infections in hospital patients are no longer effective because of the evolution of resistant strains, which compromises medical care worldwide. In this article, we formulate a two-level population model to quantify key elements in nosocomial (hospital-acquired) infections. At the bacteria level, patients infected with these strains generate both nonresistant and resistant bacteria. At the patient level, susceptible patients are infected by infected patients at rates proportional to the total bacteria load of each strain present in the hospital. The objectives of this paper are to analyze the dynamic elements of nonresistant and resistant bacteria strains in epidemic populations in hospital environments and to provide understanding of measures to avoid the endemicity of resistant antibiotic strains.</p></div></front></TEI><pmc article-type="research-article"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<front><journal-meta><journal-id journal-id-type="nlm-ta">Proc Natl Acad Sci U S A</journal-id><journal-id journal-id-type="publisher-id">pnas</journal-id><journal-title>Proceedings of the National Academy of Sciences of the United States of America</journal-title><issn pub-type="ppub">0027-8424</issn><issn pub-type="epub">1091-6490</issn><publisher><publisher-name>National Academy of Sciences</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">16141326</article-id><article-id pub-id-type="pmc">1201589</article-id><article-id pub-id-type="publisher-id">010213343</article-id><article-id pub-id-type="doi">10.1073/pnas.0504053102</article-id><article-categories><subj-group subj-group-type="heading"><subject>Biological Sciences</subject><subj-group><subject>Population Biology</subject></subj-group></subj-group></article-categories><title-group><article-title>A model of antibiotic-resistant bacterial epidemics in hospitals</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Webb</surname><given-names>Glenn F.</given-names></name><xref ref-type="aff" rid="N0x8bcd758.0x979f208">†</xref></contrib><contrib contrib-type="author"><name><surname>D'Agata</surname><given-names>Erika M. C.</given-names></name><xref ref-type="aff" rid="N0x8bcd758.0x979f208">‡</xref></contrib><contrib contrib-type="author"><name><surname>Magal</surname><given-names>Pierre</given-names></name><xref ref-type="aff" rid="N0x8bcd758.0x979f208">§</xref></contrib><contrib contrib-type="author"><name><surname>Ruan</surname><given-names>Shigui</given-names></name><xref ref-type="aff" rid="N0x8bcd758.0x979f208">¶</xref><xref ref-type="corresp" rid="cor1">∥</xref></contrib></contrib-group><aff id="N0x8bcd758.0x979f208"><label>†</label>Department of Mathematics, Vanderbilt University, Nashville, TN 37240;<label>‡</label>Beth Israel Deaconess Medical Center, Harvard University, Boston, MA 02215;<label>§</label>Faculté des Sciences et Techniques, Université du Havre, 76058 Le Havre, France; and<label>¶</label>Department of Mathematics, University of Miami, Coral Gables, FL 33124-4250</aff><author-notes><fn id="cor1"><label>∥</label><p> To whom correspondence should be addressed. E-mail: <email>ruan@math.miami.edu</email>. </p></fn><fn><p>Edited by Stanley Falkow, Stanford University, Stanford, CA</p></fn></author-notes><pub-date pub-type="ppub"><day>13</day><month>9</month><year>2005</year></pub-date><pub-date pub-type="epub"><day>2</day><month>9</month><year>2005</year></pub-date><volume>102</volume><issue>37</issue><fpage>13343</fpage><lpage>13348</lpage><history><date date-type="received"><day>18</day><month>5</month><year>2005</year></date><date date-type="accepted"><day>30</day><month>6</month><year>2005</year></date></history><copyright-statement>Copyright © 2005, The National Academy of Sciences</copyright-statement><copyright-year>2005</copyright-year><abstract><p>The emergence of drug-resistant strains of bacteria is an increasing threat to society, especially in hospital settings. Many antibiotics that were formerly effective in combating bacterial infections in hospital patients are no longer effective because of the evolution of resistant strains, which compromises medical care worldwide. In this article, we formulate a two-level population model to quantify key elements in nosocomial (hospital-acquired) infections. At the bacteria level, patients infected with these strains generate both nonresistant and resistant bacteria. At the patient level, susceptible patients are infected by infected patients at rates proportional to the total bacteria load of each strain present in the hospital. The objectives of this paper are to analyze the dynamic elements of nonresistant and resistant bacteria strains in epidemic populations in hospital environments and to provide understanding of measures to avoid the endemicity of resistant antibiotic strains.</p></abstract><kwd-group><kwd>mathematical populaton dynamics</kwd><kwd>nosocomial infection</kwd></kwd-group></article-meta><notes><fn-group><fn><p>Author contributions: G.F.W., E.M.C.D., P.M., and S.R. designed research, performed research, contributed new reagents/analytic tools, and wrote the paper.</p></fn><fn><p>This paper was submitted directly (Track II) to the PNAS office.</p></fn></fn-group></notes></front></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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