Use of Spatial Information to Predict Multidrug Resistance in Tuberculosis Patients, Peru

To determine whether spatiotemporal information could help predict multidrug resistance at the time of tuberculosis diagnosis, we investigated tuberculosis patients who underwent drug susceptibility testing in Lima, Peru, during 2005–2007. We found that crude representation of spatial location at th...

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Detalles Bibliográficos
Autores principales: Lin, Hsien-Ho, Shin, Sonya S., Contreras, Carmen, Asencios, Luis, Paciorek, Christopher J., Cohen, Ted
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2012
Materias:
Dispatch
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3358052/
https://www.ncbi.nlm.nih.gov/pubmed/22516236
http://dx.doi.org/10.3201/eid1805.111467
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author Lin, Hsien-Ho
Shin, Sonya S.
Contreras, Carmen
Asencios, Luis
Paciorek, Christopher J.
Cohen, Ted
author_facet Lin, Hsien-Ho
Shin, Sonya S.
Contreras, Carmen
Asencios, Luis
Paciorek, Christopher J.
Cohen, Ted
author_sort Lin, Hsien-Ho
collection PubMed
description To determine whether spatiotemporal information could help predict multidrug resistance at the time of tuberculosis diagnosis, we investigated tuberculosis patients who underwent drug susceptibility testing in Lima, Peru, during 2005–2007. We found that crude representation of spatial location at the level of the health center improved prediction of multidrug resistance.
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spelling pubmed-33580522012-05-29 Use of Spatial Information to Predict Multidrug Resistance in Tuberculosis Patients, Peru Lin, Hsien-Ho Shin, Sonya S. Contreras, Carmen Asencios, Luis Paciorek, Christopher J. Cohen, Ted Emerg Infect Dis Dispatch To determine whether spatiotemporal information could help predict multidrug resistance at the time of tuberculosis diagnosis, we investigated tuberculosis patients who underwent drug susceptibility testing in Lima, Peru, during 2005–2007. We found that crude representation of spatial location at the level of the health center improved prediction of multidrug resistance. Centers for Disease Control and Prevention 2012-05 /pmc/articles/PMC3358052/ /pubmed/22516236 http://dx.doi.org/10.3201/eid1805.111467 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
Lin, Hsien-Ho
Shin, Sonya S.
Contreras, Carmen
Asencios, Luis
Paciorek, Christopher J.
Cohen, Ted
Use of Spatial Information to Predict Multidrug Resistance in Tuberculosis Patients, Peru
title Use of Spatial Information to Predict Multidrug Resistance in Tuberculosis Patients, Peru
title_full Use of Spatial Information to Predict Multidrug Resistance in Tuberculosis Patients, Peru
title_fullStr Use of Spatial Information to Predict Multidrug Resistance in Tuberculosis Patients, Peru
title_full_unstemmed Use of Spatial Information to Predict Multidrug Resistance in Tuberculosis Patients, Peru
title_short Use of Spatial Information to Predict Multidrug Resistance in Tuberculosis Patients, Peru
title_sort use of spatial information to predict multidrug resistance in tuberculosis patients, peru
topic Dispatch
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3358052/
https://www.ncbi.nlm.nih.gov/pubmed/22516236
http://dx.doi.org/10.3201/eid1805.111467
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