Prioritizing Tuberculosis Clusters by Genotype for Public Health Action, Washington, USA

Groups of tuberculosis cases with indistinguishable Mycobacterium tuberculosis genotypes (clusters) might represent recent transmission. We compared geospatial concentration of genotype clusters with independent priority rankings determined by local public health officials; findings were highly corr...

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Detalles Bibliográficos
Autores principales: Lindquist, Scott, Allen, Sheanne, Field, Kim, Ghosh, Smita, Haddad, Maryam B., Narita, Masahiro, Oren, Eyal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2013
Materias:
Dispatch
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3647672/
https://www.ncbi.nlm.nih.gov/pubmed/23621956
http://dx.doi.org/10.3201/eid1903.121453
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author Lindquist, Scott
Allen, Sheanne
Field, Kim
Ghosh, Smita
Haddad, Maryam B.
Narita, Masahiro
Oren, Eyal
author_facet Lindquist, Scott
Allen, Sheanne
Field, Kim
Ghosh, Smita
Haddad, Maryam B.
Narita, Masahiro
Oren, Eyal
author_sort Lindquist, Scott
collection PubMed
description Groups of tuberculosis cases with indistinguishable Mycobacterium tuberculosis genotypes (clusters) might represent recent transmission. We compared geospatial concentration of genotype clusters with independent priority rankings determined by local public health officials; findings were highly correlated. Routine use of geospatial statistics could help health departments identify recent disease transmission.
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spelling pubmed-36476722013-05-13 Prioritizing Tuberculosis Clusters by Genotype for Public Health Action, Washington, USA Lindquist, Scott Allen, Sheanne Field, Kim Ghosh, Smita Haddad, Maryam B. Narita, Masahiro Oren, Eyal Emerg Infect Dis Dispatch Groups of tuberculosis cases with indistinguishable Mycobacterium tuberculosis genotypes (clusters) might represent recent transmission. We compared geospatial concentration of genotype clusters with independent priority rankings determined by local public health officials; findings were highly correlated. Routine use of geospatial statistics could help health departments identify recent disease transmission. Centers for Disease Control and Prevention 2013-03 /pmc/articles/PMC3647672/ /pubmed/23621956 http://dx.doi.org/10.3201/eid1903.121453 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
Lindquist, Scott
Allen, Sheanne
Field, Kim
Ghosh, Smita
Haddad, Maryam B.
Narita, Masahiro
Oren, Eyal
Prioritizing Tuberculosis Clusters by Genotype for Public Health Action, Washington, USA
title Prioritizing Tuberculosis Clusters by Genotype for Public Health Action, Washington, USA
title_full Prioritizing Tuberculosis Clusters by Genotype for Public Health Action, Washington, USA
title_fullStr Prioritizing Tuberculosis Clusters by Genotype for Public Health Action, Washington, USA
title_full_unstemmed Prioritizing Tuberculosis Clusters by Genotype for Public Health Action, Washington, USA
title_short Prioritizing Tuberculosis Clusters by Genotype for Public Health Action, Washington, USA
title_sort prioritizing tuberculosis clusters by genotype for public health action, washington, usa
topic Dispatch
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3647672/
https://www.ncbi.nlm.nih.gov/pubmed/23621956
http://dx.doi.org/10.3201/eid1903.121453
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