title: Preventing tuberculosis in the foreign-born population of Canada: a mathematical modelling study.
abstract: BACKGROUND
  Foreign-born persons in Canada contribute 67% of all tuberculosis (TB) cases annually, but represent only 21% of the total population. Molecular epidemiological studies suggest that most foreign-born TB cases result from the reactivation of latent tuberculous infection (LTBI) acquired before immigration.
  
  
  OBJECTIVE
  To estimate the effect on incidence of a prevention strategy that would screen selected immigrants at arrival for LTBI and offer preventive treatment to those who test positive.
  
  
  METHODS
  A deterministic model was developed to quantify the incidence of active TB in immigrants to Canada and validated with national immigration and TB case data.
  
  
  RESULTS
  Model simulations suggested that it would be optimal to screen and treat LTBI in new immigrants from countries of birth with an estimated TB incidence rate in excess of 50 per 100 000 person-years. If this strategy had been implemented in 1986, the national TB incidence rate would have fallen by 18.5%, from 5.4 to 4.4 cases per 100 000 population by 2002.
  
  
  CONCLUSIONS
  This study suggests that screening and treating LTBI in foreign-born persons from high TB incidence countries is the most effective strategy in terms of total persons screened and treated and percentage reduction in national incidence.
authors.affiliation: Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, Alberta, Canada.
authors.forename: M B
authors.initials: MB
authors.lastname: Varughese
authors.affiliation: Alberta Innovates-Health Solutions, Edmonton, Alberta, Canada.
authors.forename: D
authors.initials: D
authors.lastname: Langlois-Klassen
authors.affiliation: Department of Public Health Sciences, University of Alberta, Edmonton, Alberta, Canada.
authors.forename: R
authors.initials: R
authors.lastname: Long
authors.affiliation: Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, Alberta, Canada.
authors.forename: M
authors.initials: M
authors.lastname: Li
mesh_terms: D000328:Adult; D000995:Antitubercular Agents / Q000627:therapeutic use; D002170:Canada / Q000453:epidemiology; D003140:Communicable Disease Control / Q000379:methods; D003198:Computer Simulation; D054242:Emigrants and Immigrants; D004641:Emigration and Immigration; D006801:Humans; D015994:Incidence; D055985:Latent Tuberculosis / Q000175:diagnosis / Q000208:ethnology / Q000382:microbiology / Q000517:prevention & control* / Q000635:transmission; D008403:Mass Screening; D008962:Models, Theoretical; D009169:Mycobacterium tuberculosis / Q000472:pathogenicity; D009313:National Health Programs; D011237:Predictive Value of Tests; D012111:Residence Characteristics; D012307:Risk Factors; D014775:Virus Activation
chemical_list: D000995:Antitubercular Agents