Literature DB >> 11207156

Early therapy for latent tuberculosis infection.

E Ziv1, C L Daley, S M Blower.   

Abstract

The risk of developing active tuberculosis is highest within the first 2 years of infection. Therefore, an intervention that targets persons with recent infection, such as identifying contacts of active cases, could be particularly effective as an epidemic control measure. A mathematical model of a tuberculosis epidemic is formulated and used to evaluate the strategy of targeting therapy to persons with recently acquired latent tuberculosis infection. The model is used to quantify the effectiveness of therapy for early latent tuberculosis infection in reducing the prevalence of active tuberculosis. The model is also used to demonstrate how effective therapy for early latent tuberculosis infection has to be to eliminate tuberculosis, when used in conjunction with therapy for active tuberculosis. Analysis of the model suggests that programs such as contact investigations, which identify and treat persons recently infected with Mycobacterium tuberculosis, may have a substantial effect on controlling tuberculosis epidemics.

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Year:  2001        PMID: 11207156     DOI: 10.1093/aje/153.4.381

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  15 in total

1.  Beneficial and perverse effects of isoniazid preventive therapy for latent tuberculosis infection in HIV-tuberculosis coinfected populations.

Authors:  Ted Cohen; Marc Lipsitch; Rochelle P Walensky; Megan Murray
Journal:  Proc Natl Acad Sci U S A       Date:  2006-04-21       Impact factor: 11.205

2.  A model of tuberculosis transmission and intervention strategies in an urban residential area.

Authors:  Elsje Pienaar; Aaron M Fluitt; Scott E Whitney; Alison G Freifeld; Hendrik J Viljoen
Journal:  Comput Biol Chem       Date:  2010-03-09       Impact factor: 2.877

3.  Drivers of Seasonal Variation in Tuberculosis Incidence: Insights from a Systematic Review and Mathematical Model.

Authors:  Christine Tedijanto; Sabine Hermans; Frank Cobelens; Robin Wood; Jason R Andrews
Journal:  Epidemiology       Date:  2018-11       Impact factor: 4.822

4.  Controlling Co-Epidemics: Analysis of HIV and Tuberculosis Infection Dynamics.

Authors:  Elisa F Long; Naveen K Vaidya; Margaret L Brandeau
Journal:  Oper Res       Date:  2008       Impact factor: 3.310

Review 5.  Potential public health impact of new tuberculosis vaccines.

Authors:  Elad Ziv; Charles L Daley; Sally Blower
Journal:  Emerg Infect Dis       Date:  2004-09       Impact factor: 6.883

Review 6.  Contact tracing of tuberculosis: a systematic review of transmission modelling studies.

Authors:  Matt Begun; Anthony T Newall; Guy B Marks; James G Wood
Journal:  PLoS One       Date:  2013-09-04       Impact factor: 3.240

7.  Pulmonary tuberculosis incidence and risk factors in rural areas of China: a cohort study.

Authors:  Wei Chen; Wen Shu; Min Wang; Yongchun Hou; Yinyin Xia; Weiguo Xu; Liqiong Bai; Shaofa Nie; Shiming Cheng; Yihua Xu
Journal:  PLoS One       Date:  2013-03-12       Impact factor: 3.240

8.  A mathematical study of a TB Model with treatment interruptions and two latent periods.

Authors:  Luju Liu; Yan Wang
Journal:  Comput Math Methods Med       Date:  2014-05-22       Impact factor: 2.238

Review 9.  The impact of migration on tuberculosis epidemiology and control in high-income countries: a review.

Authors:  Manish Pareek; Christina Greenaway; Teymur Noori; Jose Munoz; Dominik Zenner
Journal:  BMC Med       Date:  2016-03-23       Impact factor: 8.775

10.  Prophylactic Use of Ganoderma lucidum Extract May Inhibit Mycobacterium tuberculosis Replication in a New Mouse Model of Spontaneous Latent Tuberculosis Infection.

Authors:  Lingjun Zhan; Jun Tang; Shuzhu Lin; Yanfeng Xu; Yuhuan Xu; Chuan Qin
Journal:  Front Microbiol       Date:  2016-01-08       Impact factor: 5.640

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