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Applying Network Theory to Epidemics: Control Measures for Mycoplasma pneumoniae Outbreaks
We introduce a novel mathematical approach to investigating the spread and control of communicable infections in closed communities. Mycoplasma pneumoniae is a major cause of bacterial pneumonia in the United States. Outbreaks of illness attributable to mycoplasma commonly occur in closed or semi-cl...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Centers for Disease Control and Prevention
2003
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3369603/ https://www.ncbi.nlm.nih.gov/pubmed/12603991 http://dx.doi.org/10.3201/eid0902.020188 |
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author | Meyers, Lauren Ancel Newman, M.E.J. Martin, Michael Schrag, Stephanie |
author_facet | Meyers, Lauren Ancel Newman, M.E.J. Martin, Michael Schrag, Stephanie |
author_sort | Meyers, Lauren Ancel |
collection | PubMed |
description | We introduce a novel mathematical approach to investigating the spread and control of communicable infections in closed communities. Mycoplasma pneumoniae is a major cause of bacterial pneumonia in the United States. Outbreaks of illness attributable to mycoplasma commonly occur in closed or semi-closed communities. These outbreaks are difficult to contain because of delays in outbreak detection, the long incubation period of the bacterium, and an incomplete understanding of the effectiveness of infection control strategies. Our model explicitly captures the patterns of interactions among patients and caregivers in an institution with multiple wards. Analysis of this contact network predicts that, despite the relatively low prevalence of mycoplasma pneumonia found among caregivers, the patterns of caregiver activity and the extent to which they are protected against infection may be fundamental to the control and prevention of mycoplasma outbreaks. In particular, the most effective interventions are those that reduce the diversity of interactions between caregivers and patients. |
format | Online Article Text |
id | pubmed-3369603 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2003 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-33696032012-06-15 Applying Network Theory to Epidemics: Control Measures for Mycoplasma pneumoniae Outbreaks Meyers, Lauren Ancel Newman, M.E.J. Martin, Michael Schrag, Stephanie Emerg Infect Dis Research We introduce a novel mathematical approach to investigating the spread and control of communicable infections in closed communities. Mycoplasma pneumoniae is a major cause of bacterial pneumonia in the United States. Outbreaks of illness attributable to mycoplasma commonly occur in closed or semi-closed communities. These outbreaks are difficult to contain because of delays in outbreak detection, the long incubation period of the bacterium, and an incomplete understanding of the effectiveness of infection control strategies. Our model explicitly captures the patterns of interactions among patients and caregivers in an institution with multiple wards. Analysis of this contact network predicts that, despite the relatively low prevalence of mycoplasma pneumonia found among caregivers, the patterns of caregiver activity and the extent to which they are protected against infection may be fundamental to the control and prevention of mycoplasma outbreaks. In particular, the most effective interventions are those that reduce the diversity of interactions between caregivers and patients. Centers for Disease Control and Prevention 2003-02 /pmc/articles/PMC3369603/ /pubmed/12603991 http://dx.doi.org/10.3201/eid0902.020188 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited. |
spellingShingle | Research Meyers, Lauren Ancel Newman, M.E.J. Martin, Michael Schrag, Stephanie Applying Network Theory to Epidemics: Control Measures for Mycoplasma pneumoniae Outbreaks |
title | Applying Network Theory to Epidemics: Control Measures for Mycoplasma pneumoniae Outbreaks |
title_full | Applying Network Theory to Epidemics: Control Measures for Mycoplasma pneumoniae Outbreaks |
title_fullStr | Applying Network Theory to Epidemics: Control Measures for Mycoplasma pneumoniae Outbreaks |
title_full_unstemmed | Applying Network Theory to Epidemics: Control Measures for Mycoplasma pneumoniae Outbreaks |
title_short | Applying Network Theory to Epidemics: Control Measures for Mycoplasma pneumoniae Outbreaks |
title_sort | applying network theory to epidemics: control measures for mycoplasma pneumoniae outbreaks |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3369603/ https://www.ncbi.nlm.nih.gov/pubmed/12603991 http://dx.doi.org/10.3201/eid0902.020188 |
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