Model of the Effects of Improving TB Diagnosis on Infection Dynamics in Differing Demographic and HIV-Prevalence Scenarios
Read full paper at: http://www.scirp.org/journal/PaperInformation.aspx?PaperID=53693#.VM83QizQrzE Author(s) Allison S. Rhines 1* , Midori Kato-Maeda 2 , Marcus W. Feldman 1 Affiliation(s) 1 Department of Biology, Stanford University, Stanford, USA . 2 Curry International Tuberculosis Center, Division of Pulmonary and Critical Care Medicine, University of California, San Francisco, USA . ABSTRACT This paper seeks to examine the sensitivity of tuberculosis transmission (TB) dynamics to the rate at which infectious individuals with active TB begin a TB treatment course, and therefore cease to be infectious to others. We model this by varying both the rate at which individuals are diagnosed and begin treatment, and the demographic conditions in which the epidemic occurs. An agestructured deterministic ordinary differential equation model is used to study the sensitivity of TB transmission dynamics to the implementation of ...