Literature DB >> 20617215

The Ontario universal typing of tuberculosis (OUT-TB) surveillance program--what it means to you.

Shelly Bolotin1, David C Alexander, Jennifer L Guthrie, Steven J Drews, Frances Jamieson.   

Abstract

BACKGROUND: Tuberculosis (TB) is a serious disease that is transmitted primarily by the airborne route. Effective disease control and outbreak management requires the timely diagnosis, isolation and treatment of infected individuals with active disease; contact tracing to identify secondary cases likely to benefit from treatment of latent infection; and laboratory identification or confirmation of epidemiologically linked cases. TB genotyping enables the comparison of Mycobacterium tuberculosis complex (MTBC) strains and the identification of cases that may or may not be linked. The increased availability of molecular methods for genotyping has allowed for greater discrimination of MTBC strains and greatly enhanced understanding of TB transmission patterns.
OBJECTIVE: To improve TB surveillance and control in Ontario, the Public Health Laboratories of the Ontario Agency for Health Protection and Promotion has introduced the Ontario Universal Typing of Tuberculosis (OUT-TB) Surveillance Program.
METHODS: The first isolate from every new TB case will be genotyped with two rapid molecular methods: spoligotyping and mycobacterial interspersed repetitive unit-variable-number tandem repeat typing. MTBC isolates with nonunique genotypes and, thus, potentially linked to other TB cases, will also be genotyped by IS6110 restriction fragment length polymorphism analysis.
CONCLUSION: By providing TB control programs using these new genotyping tools, and using traditional and new case investigation methods (eg, social network analysis), this new program will provide a clearer picture of TB in Ontario, and permit more effective use of public health resources and improve disease control.

Entities:  

Mesh:

Year:  2010        PMID: 20617215      PMCID: PMC2900146          DOI: 10.1155/2010/715202

Source DB:  PubMed          Journal:  Can Respir J        ISSN: 1198-2241            Impact factor:   2.409


  25 in total

1.  Hypervariable loci that enhance the discriminatory ability of newly proposed 15-loci and 24-loci variable-number tandem repeat typing method on Mycobacterium tuberculosis strains predominated by the Beijing family.

Authors:  Tomotada Iwamoto; Shiomi Yoshida; Katsuhiro Suzuki; Motohisa Tomita; Riyo Fujiyama; Noriko Tanaka; Yasuto Kawakami; Masahiro Ito
Journal:  FEMS Microbiol Lett       Date:  2007-02-16       Impact factor: 2.742

2.  Molecular fingerprinting of Mycobacterium tuberculosis and risk factors for tuberculosis transmission in Paris, France, and surrounding area.

Authors:  M C Gutiérrez; V Vincent; D Aubert; J Bizet; O Gaillot; L Lebrun; C Le Pendeven; M P Le Pennec; D Mathieu; C Offredo; B Pangon; C Pierre-Audigier
Journal:  J Clin Microbiol       Date:  1998-02       Impact factor: 5.948

Review 3.  Epidemiology of tuberculosis by DNA fingerprinting.

Authors:  D van Soolingen; P W Hermans
Journal:  Eur Respir J Suppl       Date:  1995-09

4.  Strain identification of Mycobacterium tuberculosis by DNA fingerprinting: recommendations for a standardized methodology.

Authors:  J D van Embden; M D Cave; J T Crawford; J W Dale; K D Eisenach; B Gicquel; P Hermans; C Martin; R McAdam; T M Shinnick
Journal:  J Clin Microbiol       Date:  1993-02       Impact factor: 5.948

5.  Simultaneous detection and strain differentiation of Mycobacterium tuberculosis for diagnosis and epidemiology.

Authors:  J Kamerbeek; L Schouls; A Kolk; M van Agterveld; D van Soolingen; S Kuijper; A Bunschoten; H Molhuizen; R Shaw; M Goyal; J van Embden
Journal:  J Clin Microbiol       Date:  1997-04       Impact factor: 5.948

6.  Diversity of Mycobacterium tuberculosis isolates in an immigrant population: evidence against a founder effect.

Authors:  Sophie Kulaga; Marcel Behr; Dao Nguyen; Jacquelyn Brinkman; Jennifer Westley; Dick Menzies; Paul Brassard; Terry Tannenbaum; Louise Thibert; Jean-François Boivin; Lawrence Joseph; Kevin Schwartzman
Journal:  Am J Epidemiol       Date:  2004-03-01       Impact factor: 4.897

7.  Sampling bias in the molecular epidemiology of tuberculosis.

Authors:  Megan Murray
Journal:  Emerg Infect Dis       Date:  2002-04       Impact factor: 6.883

8.  Transmission of tuberculosis in New York City. An analysis by DNA fingerprinting and conventional epidemiologic methods.

Authors:  D Alland; G E Kalkut; A R Moss; R A McAdam; J A Hahn; W Bosworth; E Drucker; B R Bloom
Journal:  N Engl J Med       Date:  1994-06-16       Impact factor: 91.245

9.  The epidemiology of tuberculosis in San Francisco. A population-based study using conventional and molecular methods.

Authors:  P M Small; P C Hopewell; S P Singh; A Paz; J Parsonnet; D C Ruston; G F Schecter; C L Daley; G K Schoolnik
Journal:  N Engl J Med       Date:  1994-06-16       Impact factor: 91.245

10.  Impact of genotyping of Mycobacterium tuberculosis on public health practice in Massachusetts.

Authors:  Ann C Miller; Sharon Sharnprapai; Robert Suruki; Edward Corkren; Edward A Nardell; Jeffrey R Driscoll; Michael McGarry; Harry Taber; Sue Etkind
Journal:  Emerg Infect Dis       Date:  2002-11       Impact factor: 6.883

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  4 in total

Review 1.  Genotyping of Mycobacterium tuberculosis: application in epidemiologic studies.

Authors:  Midori Kato-Maeda; John Z Metcalfe; Laura Flores
Journal:  Future Microbiol       Date:  2011-02       Impact factor: 3.165

2.  Technology and tuberculosis control: the OUT-TB Web experience.

Authors:  Jennifer L Guthrie; David C Alexander; Alex Marchand-Austin; Karen Lam; Michael Whelan; Brenda Lee; Colin Furness; Elizabeth Rea; Rebecca Stuart; Julia Lechner; Monali Varia; Jennifer McLean; Frances B Jamieson
Journal:  J Am Med Inform Assoc       Date:  2017-04-01       Impact factor: 4.497

3.  Molecular epidemiology of Mycobacterium tuberculosis complex in Singapore, 2006-2012.

Authors:  Leo Kang-Yang Lim; Li Hwei Sng; Wah Win; Cynthia Bin-Eng Chee; Li Yang Hsu; Estelle Mak; Arul Earnest; Marcus Eng-Hock Ong; Jeffery Cutter; Yee Tang Wang
Journal:  PLoS One       Date:  2013-12-18       Impact factor: 3.240

4.  Framework of behavioral indicators for outcome evaluation of TB health promotion: a Delphi study of TB suspects and Tb patients.

Authors:  Ying Li; John Ehiri; Daiyu Hu; Yanqi Zhang; Qingya Wang; Shun Zhang; Jia Cao
Journal:  BMC Infect Dis       Date:  2014-05-16       Impact factor: 3.090

  4 in total

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