Literature DB >> 21628479

Transmission elasticity in communities hyperendemic for tuberculosis.

Pieter Uys1, Ben J Marais, Simon Johnstone-Robertson, John Hargrove, Robin Wood.   

Abstract

BACKGROUND: Despite consistently meeting international performance targets for tuberculosis case detection and treatment success, areas where tuberculosis is hyperendemic fail to achieve the predicted epidemiological impact. In this article, we explore the anomalous relationship between defined performance targets and actual reduction in tuberculosis transmission.
METHODS: In areas where tuberculosis is endemic, poorly ventilated social gathering places such as shebeens (informal alcohol drinking places), minibus taxis, and clinic waiting rooms are all potential transmission hot spots. We modeled the transmission reduction achieved by removal of infectious persons in settings with different tuberculosis prevalence rates to demonstrate the concept of transmission elasticity. We then applied this concept to real-life data from a hyperendemic community in Cape Town, South Africa.
RESULTS: In a hyperendemic area, reducing the number of infectious people by a given percentage results in a smaller percentage decrease in the annual risk of infection (ARI) compared with a nonendemic area; for example, removing 10% of infectious persons could result in as little as a 5% reduction in the ARI. With use of real-life data and removal of 60% of infectious individuals with tuberculosis, as would be achieved by meeting current performance targets of 70% case detection and 85% cure, the estimated ARI reduction is 50%.
CONCLUSIONS: The relationship between the number of infectious people removed and the decrease in ARI is nonlinear. The concept of transmission elasticity has important implications for the formulation of universal performance targets, since hyperendemic areas would require more stringent targets to achieve comparable transmission reduction.

Entities:  

Mesh:

Year:  2011        PMID: 21628479     DOI: 10.1093/cid/cir229

Source DB:  PubMed          Journal:  Clin Infect Dis        ISSN: 1058-4838            Impact factor:   9.079


  9 in total

1.  Heterogeneity in tuberculosis transmission and the role of geographic hotspots in propagating epidemics.

Authors:  David W Dowdy; Jonathan E Golub; Richard E Chaisson; Valeria Saraceni
Journal:  Proc Natl Acad Sci U S A       Date:  2012-05-29       Impact factor: 11.205

2.  Age-specific risks of tuberculosis infection from household and community exposures and opportunities for interventions in a high-burden setting.

Authors:  Jonathan L Zelner; Megan B Murray; Mercedes C Becerra; Jerome Galea; Leonid Lecca; Roger Calderon; Rosa Yataco; Carmen Contreras; Zibiao Zhang; Bryan T Grenfell; Ted Cohen
Journal:  Am J Epidemiol       Date:  2014-09-04       Impact factor: 4.897

Review 3.  How can mathematical models advance tuberculosis control in high HIV prevalence settings?

Authors:  R M G J Houben; D W Dowdy; A Vassall; T Cohen; M P Nicol; R M Granich; J E Shea; P Eckhoff; C Dye; M E Kimerling; R G White
Journal:  Int J Tuberc Lung Dis       Date:  2014-05       Impact factor: 2.373

4.  Optimizing community screening for tuberculosis: Spatial analysis of localized case finding from door-to-door screening for TB in an urban district of Ho Chi Minh City, Viet Nam.

Authors:  Luan Nguyen Quang Vo; Thanh Nguyen Vu; Hoa Trung Nguyen; Tung Thanh Truong; Canh Minh Khuu; Phuong Quoc Pham; Lan Huu Nguyen; Giang Truong Le; Jacob Creswell
Journal:  PLoS One       Date:  2018-12-18       Impact factor: 3.240

5.  Sociological variety and the transmission efficiency of Mycobacterium tuberculosis: a secondary analysis of qualitative and quantitative data from 15 communities in Zambia.

Authors:  Emma J Murray; Peter J Dodd; Ben Marais; Helen Ayles; Kwame Shanaube; Albertus Schaap; Richard G White; Virginia Bond
Journal:  BMJ Open       Date:  2021-12-14       Impact factor: 3.006

6.  The Risk of Tuberculosis Reinfection Soon after Cure of a First Disease Episode Is Extremely High in a Hyperendemic Community.

Authors:  Pieter Uys; Hilmarie Brand; Robin Warren; Gian van der Spuy; Eileen G Hoal; Paul D van Helden
Journal:  PLoS One       Date:  2015-12-09       Impact factor: 3.240

7.  Household contact investigation for tuberculosis in Vietnam: study protocol for a cluster randomized controlled trial.

Authors:  Gregory J Fox; Nguyen Viet Nhung; Dinh Ngoc Sy; Warwick J Britton; Guy B Marks
Journal:  Trials       Date:  2013-10-20       Impact factor: 2.279

8.  Prevalence of latent tuberculosis infection and predictive factors in an urban informal settlement in Johannesburg, South Africa: a cross-sectional study.

Authors:  Jabulani R Ncayiyana; Jean Bassett; Nora West; Daniel Westreich; Eustasius Musenge; Michael Emch; Audrey Pettifor; Colleen F Hanrahan; Sheree R Schwartz; Ian Sanne; Annelies van Rie
Journal:  BMC Infect Dis       Date:  2016-11-08       Impact factor: 3.090

9.  The Importance of Heterogeneity to the Epidemiology of Tuberculosis.

Authors:  James M Trauer; Peter J Dodd; M Gabriela M Gomes; Gabriela B Gomez; Rein M G J Houben; Emma S McBryde; Yayehirad A Melsew; Nicolas A Menzies; Nimalan Arinaminpathy; Sourya Shrestha; David W Dowdy
Journal:  Clin Infect Dis       Date:  2019-06-18       Impact factor: 9.079

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.