Unknown

Dataset Information

0

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


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.

SUBMITTER: Andrews JR 

PROVIDER: S-EPMC4675658 | BioStudies | 2015-01-01

REPOSITORIES: biostudies

Similar Datasets

2020-01-01 | S-EPMC7057673 | BioStudies
1000-01-01 | S-EPMC5457589 | BioStudies
2013-01-01 | S-EPMC3686361 | BioStudies
2020-01-01 | S-EPMC6909160 | BioStudies
2019-01-01 | S-EPMC6873722 | BioStudies
2018-01-01 | S-EPMC6519254 | BioStudies
1000-01-01 | S-EPMC5568341 | BioStudies
2011-01-01 | S-EPMC3119681 | BioStudies
2016-01-01 | S-EPMC4843669 | BioStudies
2020-01-01 | S-EPMC7021308 | BioStudies