End TB strategy: the need to reduce risk inequalities. Issue 1 (December 2016)

• Record Type: Journal Article
• Authors: Gomes, M.; Barreto, Maurício; Glaziou, Philippe; Medley, Graham; Rodrigues, Laura; Wallinga, Jacco; Squire, S.
• Is Part Of: BMC infectious diseases. Volume 16:Issue 1(2016)
• Page Start: 1
• Page End: 4
• Publication Date: 2016-12
• Subjects: Tuberculosis -- Heterogeneity -- Cohort selection -- Social inequality -- Intervention impact; Communicable diseases -- Periodicals; Sexually Transmitted Diseases -- Periodicals; 616.905
• DOI: 10.1186/s12879-016-1464-8
• Languages: English
• ISSNs: 1471-2334

Abstract

Abstract Background Diseases occur in populations whose individuals differ in essential characteristics, such as exposure to the causative agent, susceptibility given exposure, and infectiousness upon infection in the case of infectious diseases. Discussion Concepts developed in demography more than 30 years ago assert that variability between individuals affects substantially the estimation of overall population risk from disease incidence data. Methods that ignore individual heterogeneity tend to underestimate overall risk and lead to overoptimistic expectations for control. Concerned that this phenomenon is frequently overlooked in epidemiology, here we feature its significance for interpreting global data on human tuberculosis and predicting the impact of control measures. Summary We show that population-wide interventions have the greatest impact in populations where all individuals face an equal risk. Lowering variability in risk has great potential to increase the impact of interventions. Reducing inequality, therefore, empowers health interventions, which in turn improves health, further reducing inequality, in a virtuous circle.