Literature DB >> 17625223

What's driving the decline in tuberculosis in Arkansas? A molecular epidemiologic analysis of tuberculosis trends in a rural, low-incidence population, 1997 2003.

Anne Marie France1, M Donald Cave, Joseph H Bates, Betsy Foxman, Toby Chu, Zhenhua Yang.   

Abstract

Incident cases of tuberculosis may result from a recently acquired Mycobacterium tuberculosis infection or from the reactivation of a latent infection acquired in the remote past. The authors used molecular fingerprinting data to estimate the relative contributions of recent and remotely acquired infection to the yearly incidence of tuberculosis in Arkansas, a state with a largely rural population where the incidence of tuberculosis declined from 7.9 cases per 100,000 population to 4.7 cases per 100,000 between 1997 and 2003. The authors used a time-restricted definition of clustering in addition to the standard definition in order to increase the specificity of the clustering measure for recent transmission. The greatest overall declines were seen in non-Hispanic Blacks (from 13.8 cases per 100,000 in 1997 to 6.5 cases per 100,000 in 2003) and persons aged 65 years or more (from 19.9 cases per 100,000 in 1997 to 8.5 cases per 100,000 in 2003). In both groups, the incidence of nonclustered cases declined more dramatically than the incidence of clustered cases. This suggests that the decline in rates resulted primarily from declining rates of disease due to reactivation of past infections. Declines in the overall incidence of tuberculosis in a population may not necessarily result from declines in active transmission.

Entities:  

Mesh:

Year:  2007        PMID: 17625223     DOI: 10.1093/aje/kwm135

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  15 in total

1.  Transmission classification model to determine place and time of infection of tuberculosis cases in an urban area.

Authors:  G de Vries; H W M Baars; M M G G Sebek; N A H van Hest; J H Richardus
Journal:  J Clin Microbiol       Date:  2008-10-08       Impact factor: 5.948

2.  Tuberculosis in ageing: high rates, complex diagnosis and poor clinical outcomes.

Authors:  Luis Pablo Cruz-Hervert; Lourdes García-García; Leticia Ferreyra-Reyes; Miriam Bobadilla-del-Valle; Bulmaro Cano-Arellano; Sergio Canizales-Quintero; Elizabeth Ferreira-Guerrero; Renata Báez-Saldaña; Norma Téllez-Vázquez; Ariadna Nava-Mercado; Luis Juárez-Sandino; Guadalupe Delgado-Sánchez; César Alejandro Fuentes-Leyra; Rogelio Montero-Campos; Rosa Areli Martínez-Gamboa; Peter M Small; José Sifuentes-Osornio; Alfredo Ponce-de-León
Journal:  Age Ageing       Date:  2012-03-19       Impact factor: 10.668

3.  A field-validated approach using surveillance and genotyping data to estimate tuberculosis attributable to recent transmission in the United States.

Authors:  Anne Marie France; Juliana Grant; J Steve Kammerer; Thomas R Navin
Journal:  Am J Epidemiol       Date:  2015-10-13       Impact factor: 4.897

4.  Identification of factors for tuberculosis transmission via an integrated multidisciplinary approach.

Authors:  Sarah Talarico; Kashef Ijaz; Xinyu Zhang; Leonard N Mukasa; Lixin Zhang; Carl F Marrs; M Donald Cave; Joseph H Bates; Zhenhua Yang
Journal:  Tuberculosis (Edinb)       Date:  2011-03-01       Impact factor: 3.131

5.  Modeling socio-demography to capture tuberculosis transmission dynamics in a low burden setting.

Authors:  Giorgio Guzzetta; Marco Ajelli; Zhenhua Yang; Stefano Merler; Cesare Furlanello; Denise Kirschner
Journal:  J Theor Biol       Date:  2011-09-03       Impact factor: 2.691

6.  Individual- and neighborhood-level contextual factors are associated with Mycobacterium tuberculosis transmission: genotypic clustering of cases in Michigan, 2004-2012.

Authors:  Grace A Noppert; Zhenhua Yang; Philippa Clarke; Wen Ye; Peter Davidson; Mark L Wilson
Journal:  Ann Epidemiol       Date:  2017-05-15       Impact factor: 3.797

Review 7.  Hepatotoxic effects of therapies for tuberculosis.

Authors:  Bahaa E Senousy; Sanaa I Belal; Peter V Draganov
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2010-08-31       Impact factor: 46.802

8.  Evidence for waning of latency in a cohort study of tuberculosis.

Authors:  Harald G Wiker; Tehmina Mustafa; Gunnar A Bjune; Morten Harboe
Journal:  BMC Infect Dis       Date:  2010-02-23       Impact factor: 3.090

9.  Does the lipR gene of tubercle bacilli have a role in tuberculosis transmission and pathogenesis?

Authors:  Katherine D Sheline; Anne M France; Sarah Talarico; Betsy Foxman; Lixin Zhang; Carl F Marrs; Joseph H Bates; M Donald Cave; Zhenhua Yang
Journal:  Tuberculosis (Edinb)       Date:  2008-11-22       Impact factor: 3.131

10.  Contextualizing tuberculosis risk in time and space: comparing time-restricted genotypic case clusters and geospatial clusters to evaluate the relative contribution of recent transmission to incidence of TB using nine years of case data from Michigan, USA.

Authors:  Grace A Noppert; Zhenhua Yang; Philippa Clarke; Peter Davidson; Wen Ye; Mark L Wilson
Journal:  Ann Epidemiol       Date:  2019-10-17       Impact factor: 3.797

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