ReviewThe international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease2013
Data needs for evidence-based decisions: a tuberculosis modeler's 'wish list'.
Review in The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 5 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
38 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Economic and modeling evidence for tuberculosis preventive therapy among people living with HIV: A systematic review and meta-analysis.PLoS medicine · 2021Pooled it
- Effectiveness of spatially targeted interventions for control of HIV, tuberculosis, leprosy and malaria: a systematic review.BMJ open · 2021Pooled it
- 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 · 2018Pooled it
- Disparities in model-based cost-effectiveness analyses of tuberculosis diagnosis: A systematic review.PloS one · 2018Pooled it
- Delays in diagnosis and treatment of pulmonary tuberculosis in India: a systematic review.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2014Pooled it
- Predicting Tuberculosis Outcomes Using Routine Surveillance Data in Chiang Mai, Thailand: Retrospective Cohort Study.JMIR public health and surveillance · 2026Article
- Cost-benefit analysis of pre-entry tuberculosis screening for incoming migrants to Japan: a focus on Nepalese migrants.Health economics review · 2025Article
- Risks and consequences of TB and its prevention in cost-utility analyses among immigrants: a systematic review.IJTLD open · 2025Review
- Performance of eight serum cytokine/chemokine biomarkers in discriminating between active and latent tuberculosis infection in Ghana.Frontiers in immunology · 2025Article
- Assessment of tuberculosis transmission probability in three Thai prisons based on five dynamic models.PloS one · 2024Article
- Transmission modeling to infer tuberculosis incidence prevalence and mortality in settings with generalized HIV epidemics.Nature communications · 2023Article
- Variance-based sensitivity analysis of tuberculosis transmission models.Journal of the Royal Society, Interface · 2022Article
- Article
- An approach for improving the quality of country-level TB modelling.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2021Article
- The healthier healthcare management models for COVID-19.Journal of infection and public health · 2021Review
- Article
- The predicted impact of tuberculosis preventive therapy: the importance of disease progression assumptions.BMC infectious diseases · 2020Article
- Comparative Modeling of Tuberculosis Epidemiology and Policy Outcomes in California.American journal of respiratory and critical care medicine · 2020Article
- Interplay between competitive and cooperative interactions in a three-player pathogen system.Royal Society open science · 2020Article
- Analytical Exploration of Potential Pathways by which Diabetes Mellitus Impacts Tuberculosis Epidemiology.Scientific reports · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Infectious disease models are important tools for understanding epidemiology and supporting policy decisions for disease control. In the case of tuberculosis (TB), such models have informed our understanding and control strategies for over 40 years, but the primary assumptions of these models--and their most urgent data needs--remain obscure to many TB researchers and control officers. The structure and parameter values of TB models are informed by observational studies and experiments, but the evidence base in support of these models remains incomplete. Speaking from the perspective of infectious disease modelers addressing the broader TB research and control communities, we describe the basic structure common to most TB models and present a 'wish list' that would improve the evidence foundation upon which these models are built. As a comprehensive TB research agenda is formulated, we argue that the data needs of infectious disease models--our primary long-term decision-making tools--should figure prominently.
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