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

被引:32
作者
Andrews, J. R. [1 ]
Basu, S. [2 ]
Dowdy, D. W. [3 ]
Murray, M. B. [4 ]
机构
[1] Stanford Univ, Sch Med, Div Infect Dis & Geog Med, Stanford, CA 94305 USA
[2] Stanford Univ, Sch Med, Stanford Prevent Res Ctr, Stanford, CA 94305 USA
[3] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Epidemiol, Baltimore, MD USA
[4] Harvard Univ, Sch Med, Dept Global Hlth & Social Med, Boston, MA USA
关键词
disparities; poverty; models; social mixing; policy; SOCIOECONOMIC-STATUS; INFECTIOUS-DISEASES; MIXING PATTERNS; SOUTH-INDIA; TRANSMISSION; EPIDEMICS; DIAGNOSIS; DYNAMICS; BEHAVIOR; POVERTY;
D O I
10.5588/ijtld.14.0423
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
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.
引用
收藏
页码:375 / 380
页数:6
相关论文
共 34 条
  • [21] Rajeswari R, 2002, INT J TUBERC LUNG D, V6, P789
  • [22] Close encounters of the infectious kind: methods to measure social mixing behaviour
    Read, J. M.
    Edmunds, W. J.
    Riley, S.
    Lessler, J.
    Cummings, D. A. T.
    [J]. EPIDEMIOLOGY AND INFECTION, 2012, 140 (12) : 2117 - 2130
  • [23] Digital Epidemiology
    Salathe, Marcel
    Bengtsson, Linus
    Bodnar, Todd J.
    Brewer, Devon D.
    Brownstein, John S.
    Buckee, Caroline
    Campbell, Ellsworth M.
    Cattuto, Ciro
    Khandelwal, Shashank
    Mabry, Patricia L.
    Vespignani, Alessandro
    [J]. PLOS COMPUTATIONAL BIOLOGY, 2012, 8 (07)
  • [24] Simwaka BN, 2007, INT J TUBERC LUNG D, V11, P65
  • [25] Singh N, 2010, REGIONAL INEQUALITY
  • [26] Making innovations accessible to the poor through implementation research
    Squire, S. B.
    Ramsay, A. R. C.
    van den Hof, S.
    Millington, K. A.
    Langley, I.
    Bello, G.
    Kritski, A.
    Detjen, A.
    Thomson, R.
    Cobelens, F.
    Mann, G. H.
    [J]. INTERNATIONAL JOURNAL OF TUBERCULOSIS AND LUNG DISEASE, 2011, 15 (07) : 862 - 870
  • [27] A systematic review of delay in the diagnosis and treatment of tuberculosis
    Storla, Dag Gundersen
    Yimer, Solomon
    Bjune, Gunnar Aksel
    [J]. BMC PUBLIC HEALTH, 2008, 8 (1)
  • [28] Factors influencing the care-seeking behaviour of chest symptomatics: a community-based study involving rural and urban population in Tamil Nadu, South India
    Sudha, G
    Nirupa, C
    Rajasakthivel, M
    Sivasusbramanian, S
    Sundaram, V
    Bhatt, S
    Subramaniam, K
    Thiruvalluvan, E
    Mathew, R
    Renu, G
    Santha, T
    [J]. TROPICAL MEDICINE & INTERNATIONAL HEALTH, 2003, 8 (04) : 336 - 341
  • [29] Tamhane A, 2012, INT J PREVENTIVE MED, V3, P569
  • [30] TERRIS M, 1948, AM J PUBLIC HEALTH, V38, P1061