Literature DB >> 25859990

The epidemiological advantage of preferential targeting of tuberculosis control at the poor.

J R Andrews1, S Basu2, D W Dowdy3, M B Murray4.   

Abstract

Tuberculosis (TB) remains disproportionately concentrated among the poor, yet known determinants of TB reactivation may fail to explain observed disparities in disease rates according to wealth. Reviewing data on TB disparities in India and the wealth distribution of known TB risk factors, we describe how social mixing patterns could be contributing to TB disparities. Wealth-assortative mixing, whereby individuals are more likely to be in contact with others from similar socio-economic backgrounds, amplifies smaller differences in risk of TB, resulting in large population-level disparities. As disparities and assortativeness increase, TB becomes more difficult to control, an effect that is obscured by looking at population averages of epidemiological parameters, such as case detection rates. We illustrate how TB control efforts may benefit from preferential targeting toward the poor. In India, an equivalent-scale intervention could have a substantially greater impact if targeted at those living below the poverty line than with a population-wide strategy. In addition to potential efficiencies in targeting higher-risk populations, TB control efforts would lead to a greater reduction in secondary TB cases per primary case diagnosed if they were preferentially targeted at the poor. We highlight the need to collect programmatic data on TB disparities and explicitly incorporate equity considerations into TB control plans.

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Year:  2015        PMID: 25859990      PMCID: PMC4675658          DOI: 10.5588/ijtld.14.0423

Source DB:  PubMed          Journal:  Int J Tuberc Lung Dis        ISSN: 1027-3719            Impact factor:   2.373


  29 in total

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4.  Poverty trap formed by the ecology of infectious diseases.

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5.  Measuring socio-economic data in tuberculosis prevalence surveys.

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6.  Tuberculosis transmission in the Indigenous peoples of the Canadian prairies.

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7.  The impact of rural residence and HIV infection on poor tuberculosis treatment outcomes in a large urban hospital: a retrospective cohort analysis.

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Review 8.  Modelling the social and structural determinants of tuberculosis: opportunities and challenges.

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9.  TIME Impact - a new user-friendly tuberculosis (TB) model to inform TB policy decisions.

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10.  End TB strategy: the need to reduce risk inequalities.

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