Skip to content

Development and validation of a predictive ecological model for TB prevalence

Authors
S. Alba, E. Rood, M.I. Bakker, M. Straetemans, et al.

Nationally representative tuberculosis (TB) prevalence surveys provide invaluable empirical measurements of TB burden but are a massive and complex undertaking. Therefore, methods that capitalize on data from these surveys are both attractive and imperative. The aim of this study was to use existing TB prevalence estimates to develop and validate an ecological predictive statistical model to indirectly estimate TB prevalence in low- and middle-income countries without survey data.

Related work

  • The KIT MATCH Approach for Enhancing TB Care Coverage

    • Institute
    • Project

    The MATCH approach supports tuberculosis programmes to optimise resource use by leveraging multiple sources of disaggregated spatial and demographic data to develop locally tailored, differentiated interventions. This local differentiation is required to effectively identify and treat populations with ongoing tuberculosis transmission, thereby accelerating progress toward TB control and elimination goals. KIT Centre for Applied Spatial […]

  • Strengthening the Use of Subnational Disaggregated Data for Differentiated TB Program Planning in Asia

    • Institute
    • Project

    In collaboration with The WHO Global TB Program, the Stop TB Partnership, and World Health Organization SEARO KIT has developed an analytical approach that makes the most of available subnational tuberculosis program data to find the missing cases of TB. A joint initiative In the summer of 2016, the Stop TB Partnership and The Global […]

  • TB REACH: Piloting and Monitoring Innovative Interventions for TB Control

    • Institute
    • Project

    In collaboration with health consultants, KIT Royal Tropical Institute developed an analysis method and monitoring and evaluation tools for measuring the effectiveness of tuberculosis detection innovations. Improving case detection in poor and vulnerable populations Tuberculosis (TB) remains a major cause of morbidity and mortality. Globally more than three million people with TB remain undiagnosed each […]