Publications by authors named "T R Navin"

Article Synopsis
  • Early identification of tuberculosis (TB) clusters is essential for preventing future outbreaks and intervention opportunities.
  • Researchers analyzed U.S. TB surveillance data from 2009-2018, using machine learning to predict which clusters of TB cases were likely to grow beyond expected levels.
  • The study found that cluster characteristics, such as the timing of case accumulation, were more crucial predictors of growth than individual patient demographics, highlighting a comprehensive approach for public health strategies.
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Increased testing and treatment of latent tuberculosis infection (LTBI) among US-residents who were born (or lived) in countries with high rates of TB can hasten progress toward TB elimination. We calculated LTBI prevalence using QuantiFERON®-TB Gold In-Tube results from the 2011 to 2012 National Health and Nutrition Examination Survey (NHANES). LTBI prevalence was highest for persons born in India (31.

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The US Centers for Disease Control and Prevention recommends screening populations at increased risk for tuberculosis (TB), including persons born in countries with high TB rates. This approach assumes that TB risk for expatriates living in the United States is representative of TB risk in their countries of birth. We compared US TB rates by country of birth with corresponding country rates by calculating incidence rate ratios (IRRs) (World Health Organization rate/US rate).

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Introduction: Diabetes might confer a modestly increased risk of latent tuberculosis infection, which without treatment can progress to active tuberculosis disease. Three recent analyses of the National Health and Nutrition Examination Survey found a positive association between diabetes and a positive test for Mycobacterium tuberculosis infection. This study examines whether prevalence of a positive test still varies by diabetes status after stratifying by race/ethnicity.

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Background: A single 2-year National Health and Nutrition Examination Survey (NHANES) cycle is designed to provide accurate and stable estimates of conditions with prevalence of at least 10%. Recent NHANES-based estimates of a tuberculin skin test (TST) ≥10 mm in the noninstitutionalized US civilian population are at most 6.3%.

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