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The Road to Tuberculosis (Mycobacterium tuberculosis) Elimination in Arkansas; a Re-Examination of Risk Groups

OBJECTIVES: This study was conducted to generate knowledge useful for developing public health interventions for more effective tuberculosis control in Arkansas. METHODS: The study population included 429 culture-confirmed reported cases (January 1, 2004–December 31, 2010). Mycobacterium tuberculosi...

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Detalles Bibliográficos
Autores principales: Berzkalns, Anna, Bates, Joseph, Ye, Wen, Mukasa, Leonard, France, Anne Marie, Patil, Naveen, Yang, Zhenhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3949677/
https://www.ncbi.nlm.nih.gov/pubmed/24618839
http://dx.doi.org/10.1371/journal.pone.0090664
Descripción
Sumario:OBJECTIVES: This study was conducted to generate knowledge useful for developing public health interventions for more effective tuberculosis control in Arkansas. METHODS: The study population included 429 culture-confirmed reported cases (January 1, 2004–December 31, 2010). Mycobacterium tuberculosis genotyping data were used to identify cases likely due to recent transmission (clustered) versus reactivation (non-clustered). Poisson regression models estimated average decline rate in incidence over time and assessed the significance of differences between subpopulations. A multinomial logistic model examined differences between clustered and non-clustered incidence. RESULTS: A significant average annual percent decline was found for the overall incidence of culture-confirmed (9%; 95% CI: 5.5%, 16.9%), clustered (6%; 95% CI: 0.5%, 11.6%), and non-clustered tuberculosis cases (12%; 95% CI: 7.6%, 15.9%). However, declines varied among demographic groups. Significant declines in clustered incidence were only observed in males, non-Hispanic blacks, 65 years and older, and the rural population. CONCLUSIONS: These findings suggest that the Arkansas tuberculosis control program must target both traditional and non-traditional risk groups for successful tuberculosis elimination. The present study also demonstrates that a thorough analysis of TB trends in different population subgroups of a given geographic region or state can lead to the identification of non-traditional risk factors for TB transmission. Similar studies in other low incidence populations would provide beneficial data for how to control and eventually eliminate TB in the U.S.