Estimating the tuberculosis burden in resource-limited countries: a capture-recapture study in Yemen

Bassili, Amal; Al-Absi, A; Glaziou, Philippe; Seita, Akihiro; Abubakar, Ibrahim; Bierrenbach, Ana Luiza; Hest, N. A. van

doi:10.5588/ijtld.11.0483

Cited by 20 publications

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“…Inventory studies to measure TB under-reporting are increasingly being used and will lead to better estimation of the total number of detected cases. When certain assumptions are met, capture-recapture modelling using data collected in inventory studies can also be used to estimate under-diagnosis and TB incidence [48],[49].…”

Section: Methodological Considerations For the Choice And Measurementmentioning

confidence: 99%

Beyond UHC: Monitoring Health and Social Protection Coverage in the Context of Tuberculosis Care and Prevention

et al. 2014

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Section: Methodological Considerations For the Choice And Measurementmentioning

confidence: 99%

Beyond UHC: Monitoring Health and Social Protection Coverage in the Context of Tuberculosis Care and Prevention

et al. 2014

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“…93, 94 More importantly, impact on TB transmission depends on the speed at which cases are detected and treated – detecting the same number of cases, but earlier in their infectious course, can dramatically reduce TB incidence, 95, 96 However, the rate of detection and treatment depends on delays in diagnosis and treatment, which are difficult to measure and vary widely according to such factors as access to care and comorbid conditions. 97 Unknown relationships between onset of symptoms and infectivity are also important considerations.…”

Section: The Tb Modeler’s “Wish List”mentioning

confidence: 99%

Data needs for evidence-based decisions: a tuberculosis modeler's ‘wish list’ [Review article]

Dowdy

Dye

Cohen

2013

int j tuberc lung dis

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Summary 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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“…Fourth, insufficient available and suitable registers hinder three‐source log‐linear modelling to investigate and handle possible interdependencies. The majority of the capture–recapture studies in resource‐poor settings use the simple two‐source methodology, making it difficult to investigate potential interdependencies, possibly resulting in bias in the estimates, limited (van Hest 2008) or substantial (Bassili et al. 2010).…”

Section: Discussionmentioning

confidence: 99%

“…2009). Some aspects of capture–recapture analysis in resource‐limited setttings have been discussed recently, in the context of WHO quantitative implementation and impact targets and United Nations’ Millennium Development Goals (Bassili et al. 2010).…”

Section: Introductionmentioning

confidence: 99%

Quality assessment of capture–recapture studies in resource‐limited countries

Hest¹,

Grant²,

Abubakar

2011

Tropical Med Int Health

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Summaryobjectives Resource-limited countries often lack robust routine surveillance systems to accurately assess the burden of human attributes and diseases. In these settings capture-recapture analysis can be an alternative tool to obtain prevalence and incidence rates. Performance of capture-recapture analyses in resource-limited countries has not been systematically reviewed.methods Systematic review of the performance of capture-recapture analyses in the categories of human attributes, non-infectious and infectious diseases in resource-limited countries, assessing individual study quality criteria and a minimum quality criterion per category, using PRISMA methodology.results A total of 1671 potentially relevant PubMed citations were screened, resulting in 52 eligible publications: 36% in human attributes, i.e. hidden populations, injuries and mortality; 48% in noninfectious and 15% in infectious disease categories. Twenty-one per cent of selected studies were from low income countries, 40% from lower-middle-income countries and 38% from upper-middleincome countries. Thirteen per cent achieved good individual study quality criteria, 25% were intermediate and 19% were poor. Of the good studies, six were performed on human attributes and one on a non-infectious disease. The proportions of publications meeting the minimum quality criterion per category were 42%, 20% and 37%, respectively.conclusions Few capture-recapture studies in resource-limited countries achieved good individual quality criteria and a minority met the minimum quality criterion per category. Capture-recapture techniques in these settings should be carefully considered and implemented rigorously and are not a panacea for strengthening of routine surveillance systems.keywords resource-limited, systematic review, capture-recapture methods

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Estimating the tuberculosis burden in resource-limited countries: a capture-recapture study in Yemen

Abstract: We estimate that there were 13 082 (95%CI 11 610-14 513) TB cases in Yemen in 2010. Under-reporting of TB in Yemen is estimated at 29% (95%CI 20-36).

Cited by 20 publications

References 0 publications

Beyond UHC: Monitoring Health and Social Protection Coverage in the Context of Tuberculosis Care and Prevention

Beyond UHC: Monitoring Health and Social Protection Coverage in the Context of Tuberculosis Care and Prevention

Data needs for evidence-based decisions: a tuberculosis modeler's ‘wish list’ [Review article]

Quality assessment of capture–recapture studies in resource‐limited countries

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