Skip directly to site content Skip directly to page options Skip directly to A-Z link Skip directly to A-Z link Skip directly to A-Z link
Volume 8, Number 11—November 2002
Tuberculosis Genotyping
Tuberculosis Genotyping Network, United States

Statewide Molecular Epidemiology of Mycobacterium tuberculosis Transmission in a Moderate- to Low-Incidence State: Are Contact Investigations Enough?

Wendy A. Cronin*Comments to Author , Jonathan E. Golub*, Monica J. Lathan†, Leonard N. Mukasa*, Nancy Hooper*, Jafar H. Razeq*, Nancy G. Baruch*, Donna Mulcahy‡, William H. Benjamin§, Laurence S. Magder¶, G. Thomas Strickland¶, and William R. Bishai#
Author affiliations: *Maryland Department of Health and Mental Hygiene, Baltimore, Maryland, USA; †American Public Health Association, Washington, D.C., USA; ‡Alabama Department of Public Health, Montgomery, Alabama, USA; §University of Alabama at Birmingham, Birmingham, Alabama, USA; ¶University of Maryland—Baltimore, Maryland, USA; #The Johns Hopkins University, Baltimore, Maryland, USA;

Cite This Article


To assess the circumstances of recent transmission of tuberculosis (TB) (progression to active disease <2 years after infection), we obtained DNA fingerprints for 1,172 (99%) of 1,179 Mycobacterium tuberculosis isolates collected from Maryland TB patients from 1996 to 2000. We also reviewed medical records and interviewed patients with genetically matching M. tuberculosis strains to identify epidemiologic links (cluster investigation). Traditional settings for transmission were defined as households or close relatives and friends; all other settings were considered nontraditional. Of 436 clustered patients, 114 had recently acquired TB. Cluster investigations were significantly more likely than contact investigations to identify patients who recently acquired TB in nontraditional settings (33/42 vs. 23/72, respectively; p<0.001). Transmission from a foreign-born person to a U.S.-born person was rare and occurred mainly in public settings. The time from symptom onset to diagnosis was twice as long for transmitters as for nontransmitters (16.8 vs. 8.5 weeks, respectively; p<0.01). Molecular epidemiologic studies showed that eliminating diagnostic delays can prevent TB transmission in nontraditional settings, which elude contact investigations.

Although tuberculosis (TB) remains a major public health threat worldwide (1), its declining incidence in the United States has led health policy makers to develop plans for disease elimination (less than one patient per million) by 2010 (2). Although targeted screening and treatment of latent TB infection has been recommended for groups at high risk (3), learning more about recent TB transmission will help identify specific program interventions that may prevent infection and disease.

Molecular epidemiology has been used to identify groups most at risk for recent TB transmission in high-incidence urban and rural areas of the United States (49), but little data have been available from sites with a low-to-moderate disease incidence. Maryland’s varied culture and geography provide a microcosm for the study of TB transmission in the United States. The population of 5.1 million resides in distinct areas: urban (city of Baltimore), suburban (5 counties), and rural coastal and mountainous areas (18 counties). Baltimore reports high rates of homelessness, HIV infection, and illegal drug use. Foreign immigration to suburban and some rural areas of the state has increased by 53% in the past decade, causing Maryland to rank third in the nation in rate of foreign population growth (10).

In spite of the presence of these groups at high risk of acquiring TB, excellent treatment regimens utilizing directly observed therapy (87% vs. 47% nationally) and four-drug initial therapy (89% vs. 77% nationally) resulted in a 15-year decline in disease incidence (11). Since 1989, the state’s TB incidence has remained lower than the national average (4.9/100,000 vs. 5.6/100,000 population, respectively, in 2001) (11), and Baltimore ranks 26th among 31 major U.S. cities for TB incidence (Centers for Disease Control and Prevention [CDC], unpub. data, 2000).

As part of the CDC-supported National Tuberculosis Genotyping and Surveillance Network, we used DNA fingerprinting of Mycobacterium tuberculosis isolates and patient information to conduct a statewide epidemiologic study of culture-positive Maryland TB patients. We quantified the problem of recent TB transmission in the state, characterized circumstances and settings for transmission, and used our findings to review programmatic interventions.


Collection of Isolates and DNA Fingerprinting

M. tuberculosis isolates from all patients with a positive culture reported to the Maryland Department of Health and Mental Hygiene (DHMH) between 1996 and 2000 were retrieved from respective reporting laboratories. Restriction fragment length polymorphism (RFLP) analysis of IS6110 was performed with the standard method (12). Spoligotyping was performed for all matching strains that had six or more IS6110 copies by using a commercially available kit, according to the manufacturer’s instructions (Isogen Bioscience BV, Maarssen, the Netherlands) (13). Patients with genetically related M. tuberculosis strains were considered clustered. For high-copy (more than six) IS6110 strains, patients whose isolate patterns matched exactly, or differed by one band, were assigned a single cluster designation (14,15). For low-copy (fewer than six) strains, cluster designations were assigned to patients whose isolates matched exactly by RFLP analysis and spoligotyping.

Demographic and TB Risk Information

For all culture-positive patients with available DNA fingerprints, we obtained routinely reported demographic and risk factor information (HIV infection, homelessness, incarceration, alcohol abuse and illegal drug use, long-term care residence, and foreign birth) from the state case registry. These data were used to compare patients by estimated time of TB acquisition.

Cluster Investigation

After obtaining genotype results, we abstracted medical records of the clustered patients to determine whether epidemiologic links existed with other patients in the same cluster. We obtained medical histories and information on workplaces, schools, social settings, known or suspected TB exposures, tuberculin skin test results, and contact investigation records. Locatable clustered patients who had no documented links were interviewed to determine whether an existing relationship had eluded the local health department staff who conducted the contact investigations. We assigned epidemiologic links to patients who were named by another TB patient or were in the same place at the same time as another TB patient, even when they did not name each other. When the date and location of specimen collection and laboratory processing suggested that a clustered patient’s specimen was falsely positive, a pulmonologist reviewed medical records and chest radiographs to determine whether clinical TB was likely (16,17). Researchers used standardized forms to abstract records and interview patients. The study was approved by DHMH and CDC’s institutional review boards, and patients signed informed consent forms before interviews.

Estimated Time of TB Acquisition

Patients with “recent TB” were defined as those who had become infected within 2 years of disease diagnosis by an identified source patient with a matching fingerprint and whose transmission setting was known. Symptom onset had to occur at least 1 month after the onset date of the source’s symptoms. The date was obtained from the patient’s report or conservatively estimated to be 14 days before the date the first positive specimen was collected or the date that treatment was begun, whichever came first. Patients with “probable recent TB” were defined as all clustered patients who had no known transmission from source patients or evidence of past infection, e.g., no history of previous disease or documented positive results of a tuberculin skin test.

The category of “reactivated TB” from latent TB infection was assigned to clustered patients with documented past infection or disease and no identified source case, and to all patients with unique M. tuberculosis strain patterns (4,5). Although disease acquisition from a patient residing in another state or from exogenous reinfection could not be completely excluded, we assumed that these events were rare (18,19).

Traditional and Nontraditional Transmission Settings

Traditional settings for transmission were defined as those settings routinely investigated during contact investigations, e.g., households and transmission between close friends and relatives in any location. All other settings where transmission occurred were considered nontraditional.

Time from Symptom Onset to Treatment Initiation

Using only clustered patients as a convenience sample, we compared the times from reported symptom onset to treatment initiation between transmitters (persons who were the source of infection for a patient with recent TB) and nontransmitters (persons who were never identified as a source for another patient). The possibility of transmission was evaluated through July 2002, 19 months after the last patient in the study was reported.


Patients with M. bovis infection were excluded. Those with a DNA-confirmed TB relapse (disease occurring >12 months after treatment was completed, due to an identical M. tuberculosis strain) (20) were counted only for the first disease episode. All patients whose time of TB acquisition was undetermined were excluded, including those whose cultures were negative for M. tuberculosis and the first patient in a cluster if no source patient was identified (5). Although the infections of patients >5 years of age were recent by definition, children whose cultures were negative were not included in this molecular epidemiologic study, and those results are described elsewhere (21). Finally, because spoligotyping poorly differentiates clustered M. tuberculosis strains with low copy IS6110 in population-based studies (22), we could not confidently determine when TB was acquired by patients who had low-copy IS6110 strains and no known source acquired TB. These patients were excluded from our comparison between patients by time of TB acquisition.


Chi-square tests were conducted for all categorical analyses; Fisher exact test was used when expected cell values were <5. Student t test was used for continuous variables.


Culture-Positive TB Patients

Of 1,554 TB patients reported from 1996 through 2000, a total of 1,198 (77%) had positive cultures. The cluster investigations revealed that specimens from 11 patients were false positive, and these were deleted from our state TB registry. Five patients with My. bovis non–BCG were excluded, and three patients who had DNA-confirmed disease relapse were counted once. No instances of exogenous reinfection from a different M. tuberculosis strain were identified. DNA fingerprints were available for 1,172 (> 99%) of 1,179 patient isolates.

Of the 1,172 patient isolates, 436 (37%) were grouped in 111 clusters (median patients per cluster 2; mean 3; range 2–19). Eighty-eight (79%) clusters included persons who resided in one or two adjacent jurisdictions within the state. Overall, 155 (36%) clustered patients were epidemiologically linked to another patient in the cluster; among 336 with high-copy IS6110 strains, 148 (44%) were linked.

Time of TB Acquisition

The time of TB acquisition could not be determined for 42 patients who were the first symptomatic patients in their respective cluster and had no known source patient, and 145 patients who had low-copy IS6110 strains and no known source patients (Table 1). These 187 were excluded from our comparison between patients by time of acquisition. However, 29 of the 187 patients were the source for another patient and were included in our analyses of paired source and secondary patients, and of transmitters and nontransmitters.

Of the 985 patients with a known time of infection and subsequent disease, 115 (12%) had recent TB and an additional 82 (8%) had probable recent TB. Fourteen (17%) of these 82 had documented previous negative skin tests. Our extensive case review showed no sources for 56 clustered patients who had documented histories of past infection or disease. We presumed that these 56 patients plus the 732 patients with unique M. tuberculosis strains had reactivated disease (n=788).

Patients with recent TB were significantly more likely than patients with probable recent TB to be young and U.S. born, but the proportions of patients with urban residence, HIV infection, illegal drug use, and homelessness were similar for both groups (Table 2). Among the 25 patients with probable recent TB who were >64 years old, 4 were foreign-born, 10 were users of illegal drugs, and 2 were homeless. Patients with recent TB were more likely than those with reactivated disease to be urban residents, young, black, U.S.-born, homeless, HIV-infected, and abusers of alcohol or illegal drugs.

Risk Factors among Paired Source and Secondary Patients

Of the 115 patients with recent TB, 114 had 69 sources with available risk information. The mean number of secondary patients per source was 1.6 (median 1; range 1–12). Six (5%) of the 114 secondary patients acquired a resistant M. tuberculosis strain (primary resistance) from their source; 2 of these 6 were foreign-born. Five patient-strains were resistant to streptomycin and one was resistant to isoniazid. Risks, particularly illegal drug use, were frequently the same for respective source and secondary patients. Risks were identical (e.g., both source and secondary patients were injection drug users, homeless, HIV-infected) for 47 (72%) of 65 patient pairs aged 15–44 years. We found no transmission from U.S.-born persons to foreign-born persons. Other than birth in a country with a high disease incidence, only 2 (11%) of 18 foreign-born sources had risks compared with 46 (90%) of 51 U.S.-born sources (p<0.001). Foreign-born persons were the sources for all 10 foreign-born secondary patients and eight U.S.-born secondary patients. Among the latter, two were young children who acquired infection from a relative. Nonhousehold transmission from foreign-born persons to the remaining six U.S.-born persons occurred in a school, a hospital (22), two churches, and two workplaces. Five of these U.S.-born patients were immunocompetent, and their only risk for TB was exposure to the infectious source patient.

Identification of Recent Transmission before and after Genotyping

Source cases and settings of transmission were identified for all instances of recent transmission except one, a 3-year-old child (n=114). Fifty-six (49%) patients with recent TB acquired their infection and disease in nontraditional settings (Table 3). Almost two-thirds of the recent patients’ epidemiologic links to their source patients were identified by routine contact investigations before genotyping. Patients identified by contact investigations were significantly less likely to have acquired TB in nontraditional settings than those identified by cluster investigations (23/72 vs. 33/42, respectively; p<0.001).

The importance of nontraditional settings among persons at high risk was influenced in part by large outbreaks (three or more secondary patients) (2329). Nine of these began in nontraditional settings and ultimately expanded to traditional settings, and cluster investigation identified additional outbreak-related infections in patients who had not been identified through routine contact investigations (2426).

TB acquisition in nontraditional settings was associated with age >14 years (p=0.033, when differences between older and younger patients were compared), U.S. birth (p=0.012, compared to foreign birth), and illegal drug use (p<0.001, comparing differences between users and nonusers). At least 5 of 15 patients who acquired TB in public settings, i.e., churches, hospitals, a school, and a store, had only brief or distant (casual) exposure to a highly infectious person (27,28). Nine (60%) of the 15 had no apparent TB risk factor except exposure to their source patient.

TB transmission occurred in households for all 10 foreign-born persons with recent TB, and the sources for all but one foreign-born patient were found by contact investigations (Table 4). Cluster investigations were significantly more likely than contact investigations to identify source cases for patients who were homeless, abusers of alcohol, or both. Recent patients with other common TB risk factors, i.e., HIV infection, illegal drug use, incarceration, and long-term care residence, were equally likely to have epidemiologic links identified by cluster or contact investigations.

Time from Symptom Onset to Treatment Initiation

The estimated time of symptom onset was available for 69 transmitters and 99 nontransmitters. TB transmitters were significantly more likely than nontransmitters to have pulmonary disease (68/69 vs. 73/99; p<0.001). Among patients with pulmonary disease, transmitters were more likely than nontransmitters to have lung cavitation (40/68 vs. 14/73; p<0.001) and sputum smears positive for acid-fast bacilli (64/68 vs. 59/73; p=0.034). Among transmitters, the mean time from symptom onset to treatment initiation was 16.8 weeks compared with 8.5 weeks among nontransmitters (median 11 vs. 6 weeks, respectively; p=0.008). Transmitters also were more likely than nontransmitters to have at least one risk factor for TB, e.g., homelessness, HIV infection, alcohol abuse, or illegal drug use, residence in a long-term care facility, incarceration, foreign birth (60/69 vs. 38/99, respectively; p<0.001).


Our 5-year molecular epidemiologic study featured a complete sampling of patients’ isolates from the entire state (30,31) and a multifaceted study site. We also compared our patient groups by time of disease acquisition to more clearly define the relationship between clustering and recent transmission in the state. Even though Maryland has low-to-moderate TB incidence, results from our comparison between groups with recent, probable recent, and reactivated TB were similar to those from studies conducted among clustered and nonclustered patients in high incidence urban and rural areas. Recent and probable recent TB acquisition was associated with patients who were young, homeless, users of alcohol and illegal drugs, HIV-infected, and incarcerated. These findings further support the assumption that clustering is a reasonable, though not exact, surrogate for recent transmission (49).

The importance of clustered patients who do not have identifiable links has remained unclear (32). By assuming that clustered patients without links and with histories of old infections or previous TB had reactivated disease, we attempted to be more specific in identifying those for whom recent TB was plausible. Our patients with probable recent TB were older and more likely to be foreign born than were patients with recent TB. Half of the elderly patients had other high-risk factors that made exposure and recent infection likely. Among the foreign-born, acquisition of endemic strains in their countries of origin could account for some clustering (33). However, patients with probable recent TB had risk factors similar to those of patients with known recent TB. The most likely explanation for most clustered patients in this group is that existing epidemiologic links remained unidentified by contact or cluster investigations, and that some had casual exposures to their source patients in unidentified settings.

Patients with reactivated disease were rarely misclassified. Among clustered patients with histories of old infection, disease, or both, our extensive review revealed no source patients. In addition, as of July 2002, we found no instances of exogenous reinfection by a different M. tuberculosis strain even among HIV-infected patients. Because genotyping was not conducted in adjoining states, we could not eliminate the possibility of cross-jurisdictional transmission to patients who had unique M. tuberculosis strains. Recent TB was transmitted from three patients in Washington, D.C., to four Maryland residents (DHMH, unpub. data, 2001); disease incidence is greater in Washington, D.C., than in Maryland (14.9 vs. 5.3 per 100,000 population, respectively, in 2000) (34). Only 13% of TB patients resided in rural counties that form most of Maryland’s border. With low incidence in adjacent Delaware, Pennsylvania, Virginia, and West Virginia (3.6, 3.1, 4.1, and 1.8 patients per 100,000 population, respectively, in 2000) (34), transmission between states was probably minimal.

Transmission to and from Foreign-Born Persons

Most recent transmission occurred between U.S.-born persons who had at least one common urban risk factor such as HIV infection or illegal drug use. In contrast, transmission between foreign-born persons occurred exclusively in households among persons who had no other risk except their arrival from a high-incidence country of origin or close exposure to their source patient. We found no instances of transmission between U.S.-born and foreign-born persons. These results differed from other studies, which reported that foreign-born patients who acquired TB from U.S.-born sources shared risks such as homelessness, HIV infection, and illegal drug use with those source patients (35,36). In the past decade, few immigrants and refugees settled in the city of Baltimore where urban risks are common (10). From 1996 through 2000, only 36 (9%) of 423 Baltimore patients were foreign-born compared with 642 (57%) of 1,120 patients in other Maryland areas (DHMH, unpub. data, 2001). In general, foreign migration to Maryland is relatively new (10), and we may observe more shared risks among U.S.- and foreign-born patients as time of residence increases. This study is unique in reporting that infectious foreign-born sources to U.S.-born persons primarily transmitted the disease to persons whose only risk was exposure in their workplace or a public setting, such as a church or school.

Identification of Recent Transmission before and after Genotyping

In spite of a recommended concentric circle approach for routine contact investigations that includes leisure and social locations (37), we found that investigations usually had been conducted in the homes of patients and rarely extended beyond friends and relatives. Nonetheless, the high proportion of recent patients who acquired TB in these traditional settings clearly represented numerous missed opportunities for disease prevention. Although recent TB was diagnosed among some patients during the initial contact investigation, not all identified contacts had received postexposure tuberculin skin tests or treatment for latent infection (24). More timely and complete contact investigations could reduce the risk for transmission in traditional settings.

Perhaps more importantly, almost half of recent TB cases were acquired in nontraditional settings. Many of these patients were from marginalized groups at high risk, who may have been reluctant or unable to provide names of their associates to contact investigators. However, cluster and contact investigations were equally effective in identifying sources for patients with recent TB who were users of illegal drug users, incarcerated, and HIV-infected, and more aggressive contact investigations could probably not substantially improve patient reporting. Instead, our data suggest that the setting and not the risk group eludes routine contact investigators.

In addition, TB genotyping and cluster investigations indicated unsuspected transmission to immunocompetent persons in public locations such as churches, hospitals, and stores. In these instances, the possibility of casual transmission must be considered. Casual transmission was likely in the store outbreak (27) and conceivably could account for some patients with probable recent TB for whom epidemiologic links were not found. Rarely reported, casual transmission occurs when the bacterial load of the source patient is high, the infecting organism has inherent increased virulence, or the environment is enclosed (27,38). Without creative intervention, the proportional contribution of casual transmission will increase substantially as the disease incidence approaches elimination.

Delayed Diagnosis Among Transmitters

The mean time between reported symptom onset and initiation of treatment among transmitters was twice that identified for nontransmitters. Whether treatment delays are due to patients who delay in seeking care or to providers who do not include TB in the differential diagnosis, treatment delays provide ample time for pulmonary TB patients to develop smear-positive disease and cavitation (3941). Our findings led to a study to determine what time period defines a diagnostic delay and to identify related client and provider factors that will guide future program interventions (42).



Thumbnail of Actions needed to decrease recent tuberculosis transmission in various settings. Decreasing diagnostic delays can potentially eliminate large point source clusters and substantially reduce transmission in both traditional and nontraditional settings. CI, contact investigation.

Figure. Actions needed to decrease recent tuberculosis transmission in various settings. Decreasing diagnostic delays can potentially eliminate large point source clusters and substantially reduce transmission in both traditional and nontraditional settings. CI,...

Even with excellent treatment indices, one sixth of Maryland’s patients with positive cultures had recent or probable recent disease. The new guidelines for targeted testing and treatment for latent TB infection (3) will require time and substantial resources for successful implementation, and more practical and timely interventions are needed to minimize TB transmission. In the figure, we summarize the program activities that are needed to reduce transmission from infectious TB patients in the various scenarios described in this article. Program implications include the need for improved contact investigations tailored more carefully to each patient’s particular situation, with increased emphasis on activities and patient contacts outside the immediate household. However, contact investigations cannot fully address the problem of transmission in nontraditional settings. Decreasing diagnostic delays can potentially eliminate large point source clusters and substantially reduce transmission in both traditional and nontraditional settings. This method may be the only way to prevent casual transmission. Additional molecular epidemiologic investigations are needed to determine the importance of casual transmission, clarify the importance of clustered patients without links to other patients, and evaluate the long-term effectiveness of new program interventions.

Dr. Cronin is an epidemiologist with the Division of Tuberculosis Control, Refugee and Migrant Health, Maryland Department of Health and Mental Hygiene, and currently the coprincipal investigator for the Maryland site of the Tuberculosis Epidemiologic Studies Consortium, supported by the Centers for Disease Control and Prevention. Her primary research interest includes epidemiology, particularly molecular epidemiology related to the prevention of tuberculosis and nosocomial infections.



We thank Sarah Bur, Richard E. Chaisson, and Timothy R. Sterling for their thoughtful reviews of this manuscript, Bianca Oden for her work on the figures, and the Division of Tuberculosis Elimination, Centers for Disease Control and Prevention, for supporting the Maryland statewide molecular epidemiology project (U52-CCU300500).



  1. Dye  C, Scheele  S, Dolin  P, Pathania  MC. Global burden of tuberculosis: estimated incidence, prevalence, and mortality by country. JAMA. 1999;282:67786. DOIPubMedGoogle Scholar
  2. Institute of Medicine. Ending neglect: the elimination of tuberculosis in the United States. Washington: National Academy Press; 2000.
  3. Centers for Disease Control and Prevention. Targeted tuberculin testing and treatment of latent tuberculosis infection. MMWR Morb Mortal Wkly Rep. 2000;49(No. RR-6).
  4. Alland  D, Kalkut  GE, Moss  AR, McAdam  RA, Hahn  JA, Bosworth  W, Transmission of tuberculosis in New York City: an analysis by DNA fingerprinting and conventional epidemiological methods. N Engl J Med. 1994;300:17106. DOIGoogle Scholar
  5. Small  PM, Hopewell  PC, Singhe  SP, Paz  A, Parsonnet  J, Ruston  DC, The epidemiology of tuberculosis in San Francisco: a population-based study using conventional and molecular methods. N Engl J Med. 1994;330:17039. DOIPubMedGoogle Scholar
  6. Barnes  PF, Yang  Z, Preston-Martin  S, Pogoda  JM, Jones  BE, Otaya  M, Patterns of tuberculosis transmission in Central Los Angeles. JAMA. 1997;278:115963. DOIPubMedGoogle Scholar
  7. Braden  CR, Templeton  GL, Cave  MD, Valway  S, Onorato  IM, Castro  KG, Interpretation of restriction fragment length polymorphism analysis of Mycobacterium tuberculosis isolates from a state with a large rural population. J Infect Dis. 1997;175:144652. DOIPubMedGoogle Scholar
  8. Burman  WJ, Reves  RR, Hawkes  AP. DNA fingerprinting with two probes decreases clustering of Mycobacterium tuberculosis. Am J Respir Crit Care Med. 1997;155:11406.PubMedGoogle Scholar
  9. Bishai  WR, Graham  NMH, Harrington  S, Pope  DS, Hooper  N, Astemborski  J, Molecular and geographic patterns of tuberculosis transmission after 15 years of directly observed therapy. JAMA. 1998;280:167984. DOIPubMedGoogle Scholar
  10. Maryland Office for New Americans. Immigration to Maryland, then and now. New American. 2000;6:45.
  11. Centers for Disease Control and Prevention. Reported tuberculosis in the United States, 2001. Atlanta: Department of Health and Human Services, 2002.
  12. van Embden  JDA, Cave  MD, Crawford  JT, Dale  JW, Eisenbach  KD, Gicquel  B, Strain identification of Mycobacterium tuberculosis by DNA fingerprinting: recommendations for a standardized methodology. J Clin Microbiol. 1993;31:4069.PubMedGoogle Scholar
  13. Kamerbeek  J, Schouls  L, Kolk  A, van Agterveld  M, van Sooligen  D, Kuijper  S, Simultaneous detection and strain differentiation of Mycobacterium tuberculosis for diagnosis and epidemiology. J Clin Microbiol. 1997;35:90714.PubMedGoogle Scholar
  14. Das  S, Chan  SL, Allen  BW, Mitchison  DA, Lowrie  DB. Application of DNA fingerprinting with IS986 [IS6110] to sequential mycobacterial isolates obtained from pulmonary tuberculosis patients in Hong Kong before, during, and after short-course therapy. Tuber Lung Dis. 1993;74:4751. DOIPubMedGoogle Scholar
  15. Cave  MD, Eisenbach  KD, Templeton  G, Salfinger  M, Mazurek  G, Bates  JH, Stability of DNA genotype pattern produced with IS6110 in strains of Mycobacterium tuberculosis. J Clin Microbiol. 1994;32:2626.PubMedGoogle Scholar
  16. Braden  CR, Templeton  GL, Stead  WW, Bates  JH, Cave  MD, Valway  SE. Retrospective detection of laboratory cross-contamination of Mycobacterium tuberculosis cultures with use of DNA fingerprint analysis. Clin Infect Dis. 1997;24:3540.PubMedGoogle Scholar
  17. Burman  WJ, Reves  RR. Review of false-positive cultures for Mycobacterium tuberculosis and recommendations for avoiding unnecessary treatment. Clin Infect Dis. 2000;31:13905. DOIPubMedGoogle Scholar
  18. Nardell  E, McInnis  B, Thomas  B, Weidhaus  S. Exogenous reinfection with tuberculosis in a shelter for the homeless. N Engl J Med. 1986;315:15705.PubMedGoogle Scholar
  19. van Rie  A, Warren  R, Richardson  M, Victor  TC, Gie  RP, Enarson  DA, Exogenous reinfection as a cause of recurrent tuberculosis after curative treatment. N Engl J Med. 1999;341:11749. DOIPubMedGoogle Scholar
  20. Centers for Disease Control and Prevention. Tuberculosis information management system (TIMS) user’s guide; surveillance appendix I. Atlanta: Centers for Disease Control and Prevention; 1998.
  21. Cronin  WA, Magder  LS, Baruch  NG, Strickland  GT, Bishai  WR. Source identification for pediatric tuberculosis cases in Maryland. In: Abstracts of the 7th Annual North American Regional Conference of the International Union Against Tuberculosis and Lung Disease; Vancouver, Canada: March 2002. Vancouver, BC: British Columbia Lung Association;2002.
  22. Cronin  WA, Golub  JE, Magder  LS, Baruch  NG, Lathan  MJ, Mukasa  LN, Usefulness of spoligotyping for secondary typing of Mycobacterium tuberculosis isolates with low copy numbers of IS6110. J Clin Microbiol. 2001;39:370911. DOIPubMedGoogle Scholar
  23. Michele  TM, Cronin  WA, Graham  NHM, Dwyer  DM, Pope  DS, Harrington  S, Transmission of Mycobacterium tuberculosis by a fiberoptic bronchoscope: identification by DNA fingerprinting. JAMA. 1997;278:10935. DOIPubMedGoogle Scholar
  24. Cronin  WA, Lathan  MJ, Benjamin  WH. Unusually high rates of tuberculosis infection and disease among oyster fishery workers in a rural community [abstract]. Int J Tuberc Lung Dis. 1998;11:S281.
  25. Sterling  TR, Stanley  RL, Brubach  GA, Madison  A, Harrington  S, Bishai  WR, HIV-related tuberculosis in a transgender network—Baltimore, Maryland, and New York City Area. JAMA. 2000;283:25156. DOIPubMedGoogle Scholar
  26. Bur  S, Golub  J, Armstrong  J, Johnson  B, Maltas  G, Barker  L, Anatomy of a large community and jail tuberculosis outbreak investigation. In: Abstracts of the 98th American Thoracic Society International Conference; San Francisco, California, April 2001. New York: American Thoracic Society;2001.
  27. Golub  JE, Cronin  WA, Obasanjo  OO, Coggin  W, Moore  K, Pope  DS, Transmission of Mycobacterium tuberculosis through casual contact with an infectious patient. Arch Intern Med. 2001;161:22548. DOIPubMedGoogle Scholar
  28. Lathan  M, Cronin  W, Mukasa  L, Hooper  D, Benjamin  W. Outbreak of tuberculosis at a hospital identified by DNA fingerprinting. In: Abstracts of the National Tuberculosis Genotyping and Surveillance Network Annual Meeting; San Francisco, California, July 1999. Atlanta: Centers for Disease Control and Prevention;1999.
  29. Sterling  TR, Pope  DS, Bishai  WR, Harrington  S, Gershon  RR, Chaisson  RE. Transmission of Mycobacterium tuberculosis from a cadaver to an embalmer. N Engl J Med. 2000;342:2468. DOIPubMedGoogle Scholar
  30. Glynn  JR, Vynnycky  E, Fine  PEM. Influence of sampling on estimates of clustering and recent transmission of Mycobacterium tuberculosis derived from DNA fingerprinting techniques. Am J Epidemiol. 1999;149:36671.PubMedGoogle Scholar
  31. Murray  M, Alland  D. Methodological problems in the molecular epidemiology of tuberculosis. Am J Epidemiol. 2002;155:56571. DOIPubMedGoogle Scholar
  32. Murray  M, Nardell  E. Molecular epidemiology of tuberculosis: achievements and challenges to current knowledge. Bull World Health Organ. 2002;80:47782.PubMedGoogle Scholar
  33. Hermans  PWM, Messadi  F, Guebrexabher  H, van Sooligan  D, Haas  PEW, Heersman  H, Analysis of the population structure of Mycobacterium tuberculosis in Ethiopia, Tunisia, and The Netherlands: usefulness of DNA typing for global tuberculosis epidemiology. J Infect Dis. 1995;171:150413.PubMedGoogle Scholar
  34. Centers for Disease Control and Prevention. Reported tuberculosis in the United States, 2000. Atlanta: Department of Health and Human Services; 2001.
  35. Chin  DP, DeReimer  K, Small  PM, Ponce de Leon  A, Steinhart  R, Schecter  GF, Differences in contributing factors to tuberculosis incidence in US-born and foreign-born persons. Am J Respir Crit Care Med. 1998;158:1797803.PubMedGoogle Scholar
  36. Jasmer  RM, Ponce de Leon  A, Hopewell  PC, Alarcon  RG, Moss  AR, Paz  EA, Tuberculosis in Mexican-born persons in San Francisco: reactivation, acquired infection and transmission. Int J Tuberc Lung Dis. 1997;1:53641.PubMedGoogle Scholar
  37. Etkind  SC. Contact tracing. In: Reichman L, Hershfield E, editors. TB: a comprehensive international approach. New York: Marcel Dekker, Inc.; 1993. p. 275–89.
  38. Valway  SE, Sanchez  MPC, Shinnick  TF, Orme  I, Agerton  T, Hoy  D, An outbreak of extensive transmission of a virulent strain of Mycobacterium tuberculosis. N Engl J Med. 1998;338:6339. DOIPubMedGoogle Scholar
  39. Asch  S, Leake  B, Anderson  R, Gelberg  L. Why do symptomatic patients delay obtaining care for tuberculosis? Am J Respir Crit Care Med. 1998;157:12448.PubMedGoogle Scholar
  40. Mather  P, Sacks  L, Auten  G, Sall  R, Levy  C, Gordin  F. Delayed diagnosis of pulmonary TB in city hospitals. Arch Intern Med. 1994;154:30610. DOIPubMedGoogle Scholar
  41. Chin  DP, Crane  CM, Diul  MY, Sun  SJ, Agraz  R, Taylor  RS, Spread of Mycobacterium tuberculosis in a community implementing recommended elements of tuberculosis control. JAMA. 2000;283:296874. DOIPubMedGoogle Scholar
  42. Golub  J, Bur  S, Cronin  W, Baruch  N, Comstock  G, Chaisson  R. Patient and health care delays in the diagnosis of Maryland tuberculosis patients. In: Abstracts of the 7th Annual North American Regional Conference of the International Union Against Tuberculosis and Lung Disease; Vancouver, Canada: March 2002. Vancouver, BC: British Columbia Lung Association;2002.




Cite This Article

DOI: 10.3201/eid0811.020261

Table of Contents – Volume 8, Number 11—November 2002

EID Search Options
presentation_01 Advanced Article Search – Search articles by author and/or keyword.
presentation_01 Articles by Country Search – Search articles by the topic country.
presentation_01 Article Type Search – Search articles by article type and issue.



Please use the form below to submit correspondence to the authors or contact them at the following address:

Address for correspondence: Wendy A. Cronin, Division of Tuberculosis Control, Refugee and Migrant Health, Maryland Department of Health and Mental Hygiene, 201 W. Preston St., Room 307A, Baltimore, MD 21201, USA; fax: 410-669-4215;

Send To

10000 character(s) remaining.


Page created: July 19, 2010
Page updated: July 19, 2010
Page reviewed: July 19, 2010
The conclusions, findings, and opinions expressed by authors contributing to this journal do not necessarily reflect the official position of the U.S. Department of Health and Human Services, the Public Health Service, the Centers for Disease Control and Prevention, or the authors' affiliated institutions. Use of trade names is for identification only and does not imply endorsement by any of the groups named above.