title: Patterns of tuberculosis transmission in Central Los Angeles.
abstract: BACKGROUND
  Recent studies suggest that many tuberculosis cases in urban areas result from recent transmission. Delineation of the epidemiologic links between patients is important to optimize strategies to reduce tuberculosis transmission.
  
  
  OBJECTIVE
  To identify epidemiologic links among recently infected urban patients with tuberculosis.
  
  
  METHODS
  Prospective evaluation of patients with tuberculosis.
  
  
  METHODS
  Central Los Angeles, Calif.
  
  
  METHODS
  A total of 162 patients who had culture-proven tuberculosis.
  
  
  METHODS
  Patients were prospectively interviewed to identify their contacts and whereabouts. The IS6110-based and pTBN12-based restriction fragment length polymorphism analyses were performed on Mycobacterium tuberculosis isolates. Patients whose isolates had identical or closely related restriction fragment length polymorphism patterns were considered a cluster. Unconditional logistic regression was used to identify independent predictors of clustering.
  
  
  METHODS
  Relationship of clinical and epidemiologic variables to clustering.
  
  
  RESULTS
  A total of 96 (59%) of 162 patients were in 8 clusters. Only 2 of the 96 clustered patients named others in the cluster as contacts. The degree of homelessness was an independent predictor of clustering. Compared with nonclustered patients, patients in 6 clusters were significantly more likely to have spent time at 3 shelters and other locations when at least 1 patient in the cluster was contagious, and these locations were independent predictors of clustering. Among nonhomeless persons, clustered patients were significantly more likely than nonclustered patients to have used daytime services at 3 shelters.
  
  
  CONCLUSIONS
  (1) Traditional contact investigation does not reliably identify patients infected with the same M tuberculosis strain, and (2) locations at which the homeless congregate are important sites of tuberculosis transmission for homeless and nonhomeless persons. Measures that reduce tuberculosis transmission should be based on locations rather than on personal contacts.
authors.affiliation: Department of Medicine, University of Southern California School of Medicine, Los Angeles, USA.
authors.forename: P F
authors.initials: PF
authors.lastname: Barnes
authors.forename: Z
authors.initials: Z
authors.lastname: Yang
authors.forename: S
authors.initials: S
authors.lastname: Preston-Martin
authors.forename: J M
authors.initials: JM
authors.lastname: Pogoda
authors.forename: B E
authors.initials: BE
authors.lastname: Jones
authors.forename: M
authors.initials: M
authors.lastname: Otaya
authors.forename: K D
authors.initials: KD
authors.lastname: Eisenach
authors.forename: L
authors.initials: L
authors.lastname: Knowles
authors.forename: S
authors.initials: S
authors.lastname: Harvey
authors.forename: M D
authors.initials: MD
authors.lastname: Cave
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D016000:Cluster Analysis; D005260:Female; D006703:Ill-Housed Persons; D006801:Humans; D016015:Logistic Models; D015141:Los Angeles / Q000453:epidemiology; D008297:Male; D008875:Middle Aged; D017720:Molecular Epidemiology; D009169:Mycobacterium tuberculosis / Q000235:genetics*; D012150:Polymorphism, Restriction Fragment Length; D011446:Prospective Studies; D012307:Risk Factors; D014376:Tuberculosis / Q000453:epidemiology* / Q000635:transmission; D014504:Urban Health / Q000706:statistics & numerical data*