Fine-scale Identification of the Most Likely Source of a Human Plague Infection

We describe an analytic approach to provide fine-scale discrimination among multiple infection source hypotheses. This approach uses mutation-rate data for rapidly evolving multiple locus variable-number tandem repeat loci in probabilistic models to identify the most likely source. We illustrate the...

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Detalles Bibliográficos
Autores principales: Colman, Rebecca E., Vogler, Amy J., Lowell, Jennifer L., Gage, Kenneth L., Morway, Christina, Reynolds, Pamela J., Ettestad, Paul, Keim, Paul, Kosoy, Michael Y., Wagner, David M.
Formato: Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2009
Materias:
Dispatch
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2866393/
https://www.ncbi.nlm.nih.gov/pubmed/19861057
http://dx.doi.org/10.3201/eid1510.090188
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author Colman, Rebecca E.
Vogler, Amy J.
Lowell, Jennifer L.
Gage, Kenneth L.
Morway, Christina
Reynolds, Pamela J.
Ettestad, Paul
Keim, Paul
Kosoy, Michael Y.
Wagner, David M.
author_facet Colman, Rebecca E.
Vogler, Amy J.
Lowell, Jennifer L.
Gage, Kenneth L.
Morway, Christina
Reynolds, Pamela J.
Ettestad, Paul
Keim, Paul
Kosoy, Michael Y.
Wagner, David M.
author_sort Colman, Rebecca E.
collection PubMed
description We describe an analytic approach to provide fine-scale discrimination among multiple infection source hypotheses. This approach uses mutation-rate data for rapidly evolving multiple locus variable-number tandem repeat loci in probabilistic models to identify the most likely source. We illustrate the utility of this approach using data from a North American human plague investigation.
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spelling pubmed-28663932010-05-11 Fine-scale Identification of the Most Likely Source of a Human Plague Infection Colman, Rebecca E. Vogler, Amy J. Lowell, Jennifer L. Gage, Kenneth L. Morway, Christina Reynolds, Pamela J. Ettestad, Paul Keim, Paul Kosoy, Michael Y. Wagner, David M. Emerg Infect Dis Dispatch We describe an analytic approach to provide fine-scale discrimination among multiple infection source hypotheses. This approach uses mutation-rate data for rapidly evolving multiple locus variable-number tandem repeat loci in probabilistic models to identify the most likely source. We illustrate the utility of this approach using data from a North American human plague investigation. Centers for Disease Control and Prevention 2009-10 /pmc/articles/PMC2866393/ /pubmed/19861057 http://dx.doi.org/10.3201/eid1510.090188 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 Dispatch
Colman, Rebecca E.
Vogler, Amy J.
Lowell, Jennifer L.
Gage, Kenneth L.
Morway, Christina
Reynolds, Pamela J.
Ettestad, Paul
Keim, Paul
Kosoy, Michael Y.
Wagner, David M.
Fine-scale Identification of the Most Likely Source of a Human Plague Infection
title Fine-scale Identification of the Most Likely Source of a Human Plague Infection
title_full Fine-scale Identification of the Most Likely Source of a Human Plague Infection
title_fullStr Fine-scale Identification of the Most Likely Source of a Human Plague Infection
title_full_unstemmed Fine-scale Identification of the Most Likely Source of a Human Plague Infection
title_short Fine-scale Identification of the Most Likely Source of a Human Plague Infection
title_sort fine-scale identification of the most likely source of a human plague infection
topic Dispatch
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2866393/
https://www.ncbi.nlm.nih.gov/pubmed/19861057
http://dx.doi.org/10.3201/eid1510.090188
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