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Emerging Infectious Diseases|February 20, 2015
Characteristics of tuberculosis cases that started outbreaks in the United States, 2002-2011Maryam B Haddad, Kiren Mitruka, John E Oeltmann, et al.
Infection, Genetics and Evolution : Journal of Molecular Epidemiology and Evolutionary Genetics in Infectious Diseases|November 3, 2011
Tuberculosis genotyping information management system: enhancing tuberculosis surveillance in the United StatesSmita Ghosh, Patrick K Moonan, Lauren Cowan, et al.
American Journal of Epidemiology|October 22, 2013
Estimated rate of reactivation of latent tuberculosis infection in the United States, overall and by population subgroupKimberly M Shea, J Steve Kammerer, Carla A Winston, et al.
American Journal of Public Health|November 2, 2018
Age-Period-Cohort Analyses of Tuberculosis Incidence Rates by Nativity, United States, 1996-2016Shareen A Iqbal, Carla A Winston, Barbara H Bardenheier, et al.
MMWR. Morbidity and Mortality Weekly Report|March 21, 2014
Trends in tuberculosis - United States, 2013Negar Niki Alami, Courtney M Yuen, Roque Miramontes, et al.
International Journal of Health Geographics|March 19, 2013
Using statistical methods and genotyping to detect tuberculosis outbreaksJ Steve Kammerer, Nong Shang, Sandy P Althomsons, et al.
Emerging Infectious Diseases|March 2, 2012
Using genotyping and geospatial scanning to estimate recent mycobacterium tuberculosis transmission, United StatesPatrick K Moonan, Smita Ghosh, John E Oeltmann, et al.
American Journal of Respiratory and Critical Care Medicine|August 15, 2009
Increasing proportions of advanced pulmonary tuberculosis reported in the United States: are delays in diagnosis on the rise?Ryan Maclaren Wallace, J Steve Kammerer, Michael F Iademarco, et al.
American Journal of Preventive Medicine|February 16, 2005
Tuberculosis transmission in nontraditional settings: a decision-tree approachJ Steve Kammerer, Scott J N McNabb, Jose E Becerra, et al.
American Journal of Epidemiology|July 3, 2022
Using Machine Learning Techniques and National Tuberculosis Surveillance Data to Predict Excess Growth in Genotyped Tuberculosis ClustersSandy P Althomsons, Kathryn Winglee, Charles M Heilig, et al.
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