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.
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.
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
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
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
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
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
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
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
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
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