UCL Discovery Stage
UCL home » Library Services » Electronic resources » UCL Discovery Stage

Progression from latent infection to active disease in dynamic tuberculosis transmission models: a systematic review of the validity of modelling assumptions

Menzies, NA; Wolf, E; Connors, D; Bellerose, M; Sbarra, AN; Cohen, T; Hill, AN; ... Salomon, JA; + view all (2018) Progression from latent infection to active disease in dynamic tuberculosis transmission models: a systematic review of the validity of modelling assumptions. The Lancet Infectious Diseases , 18 (8) e228-e238. 10.1016/S1473-3099(18)30134-8. Green open access

[thumbnail of Accepted manuscript]
Preview
Text (Accepted manuscript)
280643.pdf - Accepted Version

Download (3MB) | Preview
[thumbnail of Supplementary information]
Preview
Text (Supplementary information)
280645 supplementary info.pdf - Accepted Version

Download (317kB) | Preview

Abstract

Mathematical modelling is commonly used to evaluate infectious disease control policy and is influential in shaping policy and budgets. Mathematical models necessarily make assumptions about disease natural history and, if these assumptions are not valid, the results of these studies can be biased. We did a systematic review of published tuberculosis transmission models to assess the validity of assumptions about progression to active disease after initial infection (PROSPERO ID CRD42016030009). We searched PubMed, Web of Science, Embase, Biosis, and Cochrane Library, and included studies from the earliest available date (Jan 1, 1962) to Aug 31, 2017. We identified 312 studies that met inclusion criteria. Predicted tuberculosis incidence varied widely across studies for each risk factor investigated. For population groups with no individual risk factors, annual incidence varied by several orders of magnitude, and 20-year cumulative incidence ranged from close to 0% to 100%. A substantial proportion of modelled results were inconsistent with empirical evidence: for 10-year cumulative incidence, 40% of modelled results were more than double or less than half the empirical estimates. These results demonstrate substantial disagreement between modelling studies on a central feature of tuberculosis natural history. Greater attention to reproducing known features of epidemiology would strengthen future tuberculosis modelling studies, and readers of modelling studies are recommended to assess how well those studies demonstrate their validity.

Type: Article
Title: Progression from latent infection to active disease in dynamic tuberculosis transmission models: a systematic review of the validity of modelling assumptions
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/S1473-3099(18)30134-8
Publisher version: https://doi.org/10.1016/S1473-3099(18)30134-8
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10053858
Downloads since deposit
9,576Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item