Simple Estimates for Local Prevalence of Latent Tuberculosis Infection, United States, 2011–2015

We used tuberculosis genotyping results to derive estimates of prevalence of latent tuberculosis infection in the United States. We estimated <1% prevalence in 1,981 US counties, 1%–<3% in 785 counties, and >3% in 377 counties. This method for estimating prevalence could be applied in any j...

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Autores principales: Haddad, Maryam B., Raz, Kala M., Lash, Timothy L., Hill, Andrew N., Kammerer, J. Steve, Winston, Carla A., Castro, Kenneth G., Gandhi, Neel R., Navin, Thomas R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2018
Materias:
Dispatch
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6154166/
https://www.ncbi.nlm.nih.gov/pubmed/30226174
http://dx.doi.org/10.3201/eid2410.180716
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author Haddad, Maryam B.
Raz, Kala M.
Lash, Timothy L.
Hill, Andrew N.
Kammerer, J. Steve
Winston, Carla A.
Castro, Kenneth G.
Gandhi, Neel R.
Navin, Thomas R.
author_facet Haddad, Maryam B.
Raz, Kala M.
Lash, Timothy L.
Hill, Andrew N.
Kammerer, J. Steve
Winston, Carla A.
Castro, Kenneth G.
Gandhi, Neel R.
Navin, Thomas R.
author_sort Haddad, Maryam B.
collection PubMed
description We used tuberculosis genotyping results to derive estimates of prevalence of latent tuberculosis infection in the United States. We estimated <1% prevalence in 1,981 US counties, 1%–<3% in 785 counties, and >3% in 377 counties. This method for estimating prevalence could be applied in any jurisdiction with an established tuberculosis surveillance system.
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spelling pubmed-61541662018-10-01 Simple Estimates for Local Prevalence of Latent Tuberculosis Infection, United States, 2011–2015 Haddad, Maryam B. Raz, Kala M. Lash, Timothy L. Hill, Andrew N. Kammerer, J. Steve Winston, Carla A. Castro, Kenneth G. Gandhi, Neel R. Navin, Thomas R. Emerg Infect Dis Dispatch We used tuberculosis genotyping results to derive estimates of prevalence of latent tuberculosis infection in the United States. We estimated <1% prevalence in 1,981 US counties, 1%–<3% in 785 counties, and >3% in 377 counties. This method for estimating prevalence could be applied in any jurisdiction with an established tuberculosis surveillance system. Centers for Disease Control and Prevention 2018-10 /pmc/articles/PMC6154166/ /pubmed/30226174 http://dx.doi.org/10.3201/eid2410.180716 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
Haddad, Maryam B.
Raz, Kala M.
Lash, Timothy L.
Hill, Andrew N.
Kammerer, J. Steve
Winston, Carla A.
Castro, Kenneth G.
Gandhi, Neel R.
Navin, Thomas R.
Simple Estimates for Local Prevalence of Latent Tuberculosis Infection, United States, 2011–2015
title Simple Estimates for Local Prevalence of Latent Tuberculosis Infection, United States, 2011–2015
title_full Simple Estimates for Local Prevalence of Latent Tuberculosis Infection, United States, 2011–2015
title_fullStr Simple Estimates for Local Prevalence of Latent Tuberculosis Infection, United States, 2011–2015
title_full_unstemmed Simple Estimates for Local Prevalence of Latent Tuberculosis Infection, United States, 2011–2015
title_short Simple Estimates for Local Prevalence of Latent Tuberculosis Infection, United States, 2011–2015
title_sort simple estimates for local prevalence of latent tuberculosis infection, united states, 2011–2015
topic Dispatch
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6154166/
https://www.ncbi.nlm.nih.gov/pubmed/30226174
http://dx.doi.org/10.3201/eid2410.180716
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