Comparative Modeling of Tuberculosis Epidemiology and Policy Outcomes in California.

ABSTRACT: Rationale: Mathematical modeling is used to understand disease dynamics, forecast trends, and inform public health prioritization. We conducted a comparative analysis of tuberculosis (TB) epidemiology and potential intervention effects in California, using three previously developed epidemiologic models of TB.Objectives: To compare the influence of various modeling methods and assumptions on epidemiologic projections of domestic latent TB infection (LTBI) control interventions in California.Methods: We compared model results between 2005 and 2050 under a base-case scenario representing current TB services and alternative scenarios including: 1) sustained interruption of Mycobacterium tuberculosis (Mtb) transmission, 2) sustained resolution o

SUBMITTER: Menzies NA 

PROVIDER: S-EPMC7464931 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature