Modeling of novel diagnostic strategies for active tuberculosis - a systematic review: current practices and recommendations.

ABSTRACT:

Introduction

The field of diagnostics for active tuberculosis (TB) is rapidly developing. TB diagnostic modeling can help to inform policy makers and support complicated decisions on diagnostic strategy, with important budgetary implications. Demand for TB diagnostic modeling is likely to increase, and an evaluation of current practice is important. We aimed to systematically review all studies employing mathematical modeling to evaluate cost-effectiveness or epidemiological impact of novel diagnostic strategies for active TB.

Methods

Pubmed, personal libraries and reference lists were searched to identify eligible papers. We extracted data on a wide variety of model structure, parameter choices, sensitivity analyses and study conclusions, which were discussed during a meeti

SUBMITTER: Zwerling A 

PROVIDER: S-EPMC4207742 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature