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 12, Number 5—May 2006
Tuberculosis Special Section

Tuberculosis Transmission Attributable to Close Contacts and HIV Status, Malawi

Amelia C. Crampin*†, Judith R. Glynn*Comments to Author , Hamidou Traore*, Malcolm D. Yates‡, Lorren Mwaungulu†, Michael Mwenebabu†, Steven D. Chaguluka†, Sian Floyd*, Francis Drobniewski‡, and Paul E.M. Fine*
Author affiliations: *London School of Hygiene and Tropical Medicine, London, United Kingdom; †Karonga Prevention Study, Chilumba, Malawi; ‡Health Protection Agency National Mycobacterium Reference Laboratory, London, United Kingdom

Cite This Article


We conducted the first molecular study of tuberculosis (TB) to estimate the role of household contact and transmission from HIV-positive putative source contacts (PSCs) in a high HIV-prevalence area. TB patients in a long-term population-based study in Malawi were asked about past contact with TB. DNA fingerprinting was used to define clusters of cases with identical strains. Among 143 epidemiologically defined PSC-case pairs, fingerprinting confirmed transmission for 44% of household and family contacts and 18% of other contacts. Transmission was less likely to be confirmed if the PSC were HIV positive than if he or she was HIV negative (odds ratio 0.32, 95% confidence interval [CI] 0.14–0.74). Overall, epidemiologic links were found for 11% of 754 fingerprint-clustered cases. We estimate that 9%–13% of TB cases were attributable to recent transmission from identifiable close contacts and that nearly half of the TB cases arising from recent infection had acquired the infection from HIV-positive patients.

The HIV epidemic has dramatically increased tuberculosis (TB) incidence. The magnitude of this effect depends in part on the relative infectiousness of HIV-infected TB patients: they are less likely to have smear-positive disease and may be infectious for a shorter period than other patients since they have higher death rates and may seek health care earlier (1). Several studies have found that household contacts of HIV-positive patients had lower rates of Mycobacterium tuberculosis infection than those of HIV-negative patients, even after adjusting for sputum smear status of the cases and HIV status of the contacts (24), though other studies have found no differences in infection rates (57).

DNA fingerprinting can be used to identify clusters of TB patients that share M. tuberculosis strains with identical patterns and to estimate when transmission occurred. To date, DNA fingerprinting studies comparing transmission from HIV-positive and HIV-negative patients have been small, and the differences have not been significant (8,9).

Studies can investigate sources of M. tuberculosis infection by seeking epidemiologic links within fingerprint-defined clusters or by comparing the DNA fingerprints of epidemiologically linked persons (810). In this study, we combine these 2 approaches to analyze the only long-term population-based molecular epidemiologic study of TB in an area with a high prevalence of HIV. Novel methods were used to estimate the proportion of TB in the population that is attributable to transmission from known contacts and from HIV-positive patients.


Since 1986, as part of the Karonga Prevention Study in northern Malawi, patients in whom TB was suspected have been identified by using enhanced passive surveillance. Project staff are based at peripheral clinics and the district hospital to examine anyone with chronic cough or enlarged lymph nodes. Patients in whom TB is suspected are also identified in the course of other studies, including household visits to TB patients, although in practice most patients come to the clinic or hospital. Sputum is taken for smear microscopic examination and culture, and material from lymph node biopsy specimens, ascites, and pleural fluid is also cultured when available (11). DNA fingerprinting has been carried out on cultures from all TB patients since late 1995 (12). Cultures that macroscopically resemble M. tuberculosis are sent to the Health Protection Agency Mycobacterium Reference Laboratory, London, United Kingdom, for species identification and drug sensitivity testing. M. tuberculosis specimens are fingerprinted by using IS6110 restriction fragment length polymorphism (RFLP), following standard procedures (13). Spoligotyping (14) is performed on strains with <5 bands on the RFLP pattern. Treatment follows Malawi National TB Control Programme guidelines. TB patients were tested for HIV after counseling and if consent was given. No antiretroviral treatment was available at the time of the study (11).

Since 1997, at the time of diagnosis, all TB patients have been asked about persons they knew who had had TB, either in their family or household (at any time) or among other acquaintances (in the last 5 years) (15). Details gathered on these putative source contacts (PSCs) allowed them to be identified within the project database: ≈90% of named PSCs who were said to have had TB in the district within the previous 5 years were confirmed as having been treated for TB. In addition, all persons seen in the district during long-standing epidemiologic studies are asked about their current and past residences and their parents, allowing genetic linkages and household histories to be constructed. PSCs identified only from the epidemiologic database were included in this study if they were first-degree relatives or half siblings of the patient or if they were documented as having lived in the same household as the patient at the time that the PSC had TB.

DNA fingerprints of cultures from all case-PSC pairs were compared by computer (Gelcompar 4.1, Applied Maths, Kortrijk, Belgium) and checked visually (12). Transmission was "confirmed" if the pair had identical strains, or if the RFLP patterns differed by 1 to 4 bands and the later strain was the first or only example of the new pattern in the dataset (12,16). Since >1 PSC was identified for some patients, the analysis was repeated excluding PSCs with smear-negative results or extrapulmonary disease, and, if >1 PSC was smear-positive, choosing the most likely source of the infection by selecting the most closely matched strains and the closest contacts (e.g., contacts within the household were considered closer than nonhousehold contacts). We have previously explored RFLP pattern evolution among the first 80 such pairs with smear-positive PSCs (to 2001) (12). Here, in a larger dataset, we explored risk factors associated with a named PSC being the confirmed source of transmission and estimate the proportion of TB in the population attributable to contact with a smear-positive household or other close family member and the relative contribution of HIV-positive and HIV-negative patients to transmission.

In addition, we estimated the proportion of RFLP-defined links that can be explained epidemiologically. Strains were defined as clustered if the RFLP pattern was shared by >2 patients. The proportion of patients in RFLP-defined clusters for whom epidemiologic links were known was calculated, and any variation with cluster size or band number was investigated. Assuming 1 index case per cluster, we calculated the proportion of secondary cases within clusters for which an epidemiologically linked source could be identified (17).

Statistical Analysis

Comparison of proportions used χ2 tests, or exact tests when numbers were small. Odds ratios were calculated by using logistic regression. To calculate the proportion of cases in the population attributable to different types of contact (the population attributable fraction [PAF]), we adapted the formula PAF = p´(RR-1)/RR where p´ is the prevalence of the exposure (history of contact) in the cases, and RR is the relative risk of TB in those who are exposed compared to those who are not exposed (18). The expression (RR-1)/RR is algebraically equivalent to the risk difference percent, (r1r0)/r1, where r1 is the risk in the exposed, and r0 is the risk in the unexposed. We do not know RR, r1, or r0, but the risk difference percent is equivalent to the proportion of epidemiologically linked cases for which transmission from a PSC is confirmed (since this represents the proportion of cases in the exposed group that were caused by the exposure). PAF is thus calculated as the proportion of case-PSC pairs for which transmission was confirmed, multiplied by the prevalence of exposure (having a PSC) among the cases. To estimate the contribution of HIV-positive patients to onward transmission, we adjusted the relative probabilities of transmission being confirmed from HIV-positive and HIV-negative PSCs, by the proportion of smear-positive TB patients in the population who were HIV positive.

Ethics permission

Permission for the study was received from the Malawi National Health Sciences Research Committee and the ethics committee of the London School of Hygiene and Tropical Medicine.


From late 1995 to early 2003, a total of 1,248 culture-positive TB patients were identified in Karonga District. Successful RFLP fingerprints were available on 1,194 isolates from 1,044 patients. After excluding 25 fingerprints because laboratory error was suspected (12), 1,029 patients had RFLP results: 74% were clustered (19). The isolates from 81 persons had <5 bands, and spoligotypes were available on 64 of these. HIV results were available for 61%, of whom 65% were positive.

Transmission Confirmation in Epidemiologically Defined Case-PSC Pairs

Fingerprints were available for 200 case-PSC pairs, of whom 51 had identical strains and 8 more had similar strains that were likely to be attributable to transmission between the 2 persons (Table 1). Transmission was no more likely to be confirmed if the information came from the patient's history only or from the epidemiologic database only, but was more likely if the information came from both sources (p = 0.05). Transmission was more likely if PSCs had smear-positive TB than if they had smear-negative or extrapulmonary TB (p = 0.06). Of the 7 pairs with confirmed matches and RFLP patterns with <5 bands, spoligotypes for both members of the pair were available for 3; they were identical for 2, and different for the third (a strain with 4 bands). The pair with different spoligotypes and a pair with similar but not identical RFLP patterns, with 1 band for the PSC and 4 bands for the patient (and missing spoligotypes), were excluded from further analyses.

When only smear-positive PSCs were used and the most likely source of transmission was selected, RFLP confirmation of transmission was much more likely for household and family PSCs (44%) than for other PSCs (friends, neighbors or colleagues, 18%, Table 2). Transmission was confirmed for 8 (62%) of 13 spouse pairs, and for 12 (48%) of 25 persons who nursed the sick patient or shared a sleeping dwelling with them. Transmission was less likely to be confirmed from male than from female PSCs, and less likely from HIV-positive PSCs than from HIV-negative PSCs (Table 2). The effect of sex of the PSC (odds ratio [OR] 0.39, 95% confidence interval [CI] 0.19–0.81) was reduced by adjusting for closeness of contact (OR 0.46, 95% CI 0.21–0.99) and was no longer significant after adjusting for HIV status of the PSC (OR 0.56, 95% CI 0.25–1.2). The effects of closeness and of HIV status of the PSC became slightly stronger when each factor was adjusted for: adjusted OR 4.6 (1.7–12.3) for family contacts and 4.1 (1.6–10.4) for household contacts, compared to other contacts; adjusted OR 0.32 (0.14–0.74) for HIV-positive contacts compared to HIV-negative contacts. These results were not altered by adjusting for degree of smear positivity of PSCs or for the other factors shown in Table 2. The results were similar if all index cases with <5 bands were excluded.

To estimate the origin of the infection in those for whom transmission from identified, PSCs was not confirmed, cases were classified as likely to be due to reactivation if the strain was the first or only example in the dataset and as recent infection if the strain was part of an existing cluster. For the patients without confirmed transmission from their PSCs, 33% had first/unique strains. In the whole dataset, the proportion of persons with first/unique strains was 39%, or 33% after excluding the first 2 years, in which first examples are more likely.

Proportion of TB Cases Due to Recognized Close Contact with a Smear-positive Patient

Of the 1,029 TB patients included in the study, 219 (21.3%) had at least 1 named family or household PSC with recorded smear-positive tuberculosis, and 86 other patients reported a PSC who was not identified in the database who may have had smear-positive disease. Overall, 177 (17.2%) of the patients had at least 1 PSC outside the family or household. Other patients either had no PSCs or none with smear-positive disease. Taking the proportion with transmission confirmed from family and household PSCs combined as 44.3% (Table 2) and the prevalence of exposure (at least 1 family or household PSC with smear-positive TB) as 21.3%, we estimate that 0.443 × 0.213 = 9% of TB case-patients in this population were attributable to recent transmission from identified smear-positive PSCs in their families or households. If the 86 additional PSCs are included, the estimate rises to 13%. Similarly, we estimate a PAF of 3.1% (0.182 × 0.172) for recent transmission from identified PSCs outside the family and household.

Proportion of TB Cases Due to Transmission from HIV-positive Patients

HIV-negative PSCs were twice as likely as HIV-positive PSCs to be confirmed by RFLP as sources of infection (46% vs. 24%), and this was seen both within the family and household (64% vs. 32%) and outside (23% vs. 12%). Overall, 61% of smear-positive TB patients were HIV positive. If we assume that the pattern of transmission from contacts is representative of the relative transmission from HIV-positive and HIV-negative patients in other settings, 45% of M. tuberculosis infections in this community are transmitted from HIV-positive patients: (0.61 × 0.24)/[(0.61 × 0.24) + ([1–0.61] × 0.46)].

Investigation of Clusters

Cluster sizes ranged from 2 to 37. The proportion of patients with clustered strains for whom epidemiologic links were identified is shown in Table 3. This proportion was no higher for strains with high band numbers than for those with <5 bands and did not vary consistently with cluster size. If we assume 1 index case per cluster, 623 of the 754 clustered cases were secondary. Of the 84 cases with epidemiologic links within RFLP-defined clusters, 52 were secondary, so sources of infection were identified for 8.3% (52/623) of secondary cases within clusters.


In Africa, case finding for TB is generally passive. Although being a household contact of a TB patient is a strong risk factor, in Africa as elsewhere (15,20), in high-incidence settings, most cases of TB are not attributable to household contact. This finding has been demonstrated in traditional epidemiologic studies (21) and more recently by using molecular techniques (22). The apparent importance of casual contact in TB transmission is not surprising since many people exposed to a small risk can account for more disease than a few exposed to a large risk (23).

DNA fingerprinting allows direct measurement of the proportion of cases with known exposure who acquired TB from that exposure. This proportion has varied from 95% in the Netherlands (10), 70% in San Francisco (8) and 71% elsewhere in the United States (9), to <50% in Cape Town, South Africa (24), and in our study. The studies varied in whether they included smear-negative PSCs, in the way contact was defined, and in whether similar but not identical RFLP patterns were included. Smear-negative PSCs were associated with a lower likelihood of confirmed transmission in our study and in the United States (9). Workplace contacts in the United States (9) and contacts outside the family and household in our study were much less likely to be confirmed as sources of infection. The inclusion of similar RFLP patterns that are the first example of their type will increase the proportion of confirmed transmissions, though with an increased risk of false attributions of the source of infection. Even identical strains may have other origins, particularly if the strain is common. On the other hand, actual transmission may not be recognized if different strains are seen in the PSC and case because of cross-contamination or other laboratory error or because the infection in the PSC was a mixture of strains.

This analysis, like all analyses to date of M. tuberculosis transmission based upon IS6110 RFLP patterns, is based on the assumption that multiple infections are infrequent and thus that a single RFLP-defined strain reflects the infection status of a patient. A recent study from South Africa has hinted that multiple infections may be more frequent than previously assumed (25). If this is the case, then we (and all previous RFLP-based studies) have underestimated the proportions of transmission occurring within households. This assumption should not affect our estimates of relative transmission from HIV-positive and HIV-negative patients.

A lower proportion of confirmed transmission from identifiable PSCs is expected in high-incidence settings. As the incidence of TB decreases in a population, patients are increasingly concentrated in high-risk groups with particular risk factors for disease. Close contacts of patients may share many risk factors. As the risk of a close contact of a TB patient having had TB increases relative to the risk of a casual contact having had TB, the proportion of TB due to transmission from a close contact will also increase. In our study, 44% of patients with a smear-positive PSC in their household within the previous few years appear to have acquired their infection from that person. The source of the infections in persons without confirmed transmission is unknown, but two thirds of patients were part of existing clusters so the infections probably were recently acquired locally.

In Cape Town, the proportion of identifiable household contacts with confirmed transmission was similarly low (24). In that study, the proportion of TB in the community attributable to transmission within the household (from smear-positive or smear-negative contacts) was estimated at 19%. In our study, by using different methods, we estimated that 9%–13% of TB cases were attributable to transmission from smear-positive PSCs within the household or close family, and 3% from other named sources. The low proportion of cases with identified sources of infection is corroborated by conventional epidemiologic studies in this and other populations (15,21).

The low proportion of TB attributable to identifiable links is also supported by the similarly low proportion of persons in clusters who can be linked epidemiologically, both in our study and studies in South Africa (22) and India (26). In our study, the epidemiologic links were established independently of the molecular data; further links might have been found by detailed investigations of particular clusters (10), but many of these more-difficult-to-define links represent casual contact. Identifiable links have been found for a higher proportion of clustered patients in low-incidence settings (10,27,28), but, excluding the casual links, the proportion is still <50%.

One reason for the particularly low proportion of confirmed transmission in our study is the high prevalence of HIV and the effect of HIV on transmission. Our study is the first to demonstrate lower infectiousness of HIV-infected TB patients by DNA fingerprinting of epidemiologically linked case-contact pairs. The lower rate of transmission persisted after adjusting for degree of smear positivity. Although HIV status was not available for all patients, this factor should not bias this estimate.

Extrapolating the results from case-PSC pairs to the community assumes similar relative transmission patterns, but is reasonable since HIV-positive patients had similarly reduced transmission within families and households and outside them. The lower infectiousness of HIV-positive patients does not mean that they have a minor role in TB transmission, since nearly two thirds of TB patients are HIV positive. It does, however, help limit the extent of the HIV-related increase in TB in the population (1,11,29).

Dr Crampin is a medical epidemiologist at the Karonga Prevention Study, Chilumba, Malawi, and senior lecturer in epidemiology at the London School of Hygiene and Tropical Medicine, London, United Kingdom. Her research interests include TB and HIV.



We thank the National Health Sciences Research Committee of Malawi for permission to publish this article, and Martien Borgdorff for useful comments on an earlier draft.

We thank the government of the Republic of Malawi for their interest in and support of this study.

Until 1996, the Karonga Prevention Study was funded primarily by the British Leprosy Relief Association and the International Federation of Anti-Leprosy Organizations with contributions from the World Health Organization/United Nations Development Programme/World Bank Special Programme for Research and Training in Tropical Diseases. Since 1996, the Wellcome Trust has been the principal source of funds. J.R.G. was supported in part by the UK Department for International Development, and is now funded by the UK Department of Health (Public Health Career Scientist award).



  1. Corbett  EL, Watt  CJ, Walker  N, Maher  D, Williams  BG, Raviglione  MC, The growing burden of tuberculosis: global trends and interactions with the HIV epidemic. Arch Intern Med. 2003;163:100921. DOIPubMedGoogle Scholar
  2. Cauthen  GM, Dooley  SW, Onorato  IM, Ihle  WW, Burr  JM, Bigler  WJ, Transmission of Mycobacterium tuberculosis from tuberculosis patients with HIV infection or AIDS. Am J Epidemiol. 1996;144:6977.PubMedGoogle Scholar
  3. Elliott  AM, Hayes  RJ, Halwiindi  B, Luo  N, Tembo  G, Pobee  JO, The impact of HIV on infectiousness of pulmonary tuberculosis: A community study in Zambia. AIDS. 1993;7:9817. DOIPubMedGoogle Scholar
  4. Espinal  MA, Perez  EN, Baez  J, Henriquez  L, Fernandez  K, Lopez  M, Infectiousness of Mycobacterium tuberculosis in HIV-1–infected patients with tuberculosis: a prospective study. Lancet. 2000;355:27580. DOIPubMedGoogle Scholar
  5. Nunn  P, Mungai  M, Nyamwaya  J, Gicheha  C, Brindle  RJ, Dunn  DT, The effect of human immunodeficiency virus type-1 on the infectiousness of tuberculosis. Tuber Lung Dis. 1994;75:2532. DOIPubMedGoogle Scholar
  6. Klausner  JD, Ryder  RW, Baende  E, Lelo  U, Williame  JC, Ngamboli  K, Mycobacterium tuberculosis in household contacts of human immunodeficiency virus type 1–seropositive patients with active pulmonary tuberculosis in Kinshasa, Zaire. J Infect Dis. 1993;168:10611. DOIPubMedGoogle Scholar
  7. Cruciani  M, Malena  M, Bosco  O, Gatti  G, Serpelloni  G. The impact of human immunodeficiency virus type 1 on infectiousness of tuberculosis: a meta-analysis. Clin Infect Dis. 2001;33:192230. DOIPubMedGoogle Scholar
  8. Behr  MA, Hopewell  PC, Paz  EA, Kawamura  LM, Schecter  GF, Small  PM. Predictive value of contact investigation for identifying recent transmission of Mycobacterium tuberculosis. Am J Respir Crit Care Med. 1998;158:4659.PubMedGoogle Scholar
  9. Bennett  DE, Onorato  IM, Ellis  BA, Crawford  JT, Schable  B, Byers  R, DNA fingerprinting of Mycobacterium tuberculosis isolates from epidemiologically linked case pairs. Emerg Infect Dis. 2002;8:12249.PubMedGoogle Scholar
  10. van Deutekom  H, Hoijng  SP, de Haas  PE, Langendam  MW, Horsman  A, van Soolingen  D, Clustered tuberculosis cases: do they represent recent transmission and can they be detected earlier? Am J Respir Crit Care Med. 2004;169:80610. DOIPubMedGoogle Scholar
  11. Glynn  JR, Crampin  AC, Ngwira  BMM, Mwaungulu  FD, Mwafulirwa  DT, Floyd  S, Trends in tuberculosis and the influence of HIV infection in northern Malawi, 1988–2001. AIDS. 2004;18:145963. DOIPubMedGoogle Scholar
  12. Glynn  JR, Yates  MD, Crampin  AC, Ngwira  BM, Mwaungulu  FD, Black  GF, DNA fingerprint changes in tuberculosis: re-infection, evolution, or laboratory error? J Infect Dis. 2004;190:115866. DOIPubMedGoogle Scholar
  13. van Embden  JDA, Cave  MD, Crawford  JT, Dale  JW, Eisenach  KD, Gicquel  B, Strain identification of Mycobacterium tuberculosis by DNA fingerprinting: recommendations for a standardized methodology. J Clin Microbiol. 1993;31:4069.PubMedGoogle Scholar
  14. Kamerbeek  J, Schouls  L, Kolk  A, van Agterveld  M, van Soolingen  D, Kuijper  S, Simultaneous detection and strain differentiation of Mycobacterium tuberculosis for diagnosis and epidemiology. J Clin Microbiol. 1997;35:90714.PubMedGoogle Scholar
  15. Crampin  AC, Glynn  JR, Floyd  S, Malema  SS, Mwinuka  VM, Ngwira  B, Tuberculosis and gender: exploring the patterns in a case control study in Malawi. Int J Tuberc Lung Dis. 2004;8:194203.PubMedGoogle Scholar
  16. Warren  RM, van der Spuy  GD, Richardson  M, Beyers  N, Booysen  C, Behr  MA, Evolution of the IS6110-based restriction fragment length polymorphism pattern during the transmission of Mycobacterium tuberculosis. J Clin Microbiol. 2002;40:127782. DOIPubMedGoogle Scholar
  17. Verver  S, Warren  RM, Munch  Z, Richardson  M, van der Spuy  GD, Borgdorff  MW, Proportion of tuberculosis transmission that takes place in households in a high-incidence area. Lancet. 2004;363:2124. DOIPubMedGoogle Scholar
  18. Rockhill  B, Newman  B, Weinberg  C. Use and misuse of population attributable fractions. Am J Public Health. 1998;88:159. DOIPubMedGoogle Scholar
  19. Glynn  JR, Crampin  AC, Yates  MD, Traore  H, Mwaungulu  FD, Ngwira  BM, The importance of recent infection with Mycobacterium tuberculosis in an area with high HIV prevalence: a long-term molecular epidemiological study in Northern Malawi. J Infect Dis. 2005;192:4807. DOIPubMedGoogle Scholar
  20. Grzybowski  S, Barnett  GD, Styblo  K. Contacts of cases of active pulmonary tuberculosis. Bull Int Union Tuberc. 1975;50:90106.PubMedGoogle Scholar
  21. Nair  SS, Ramanath Rao  G, Chandrasekhar  P. Distribution of tuberculosis infection and disease in clusters in rural households. Indian J Tuberc. 1971;18:39.
  22. Wilkinson  D, Pillay  M, Crump  J, Lombard  C, Davies  GR, Sturm  AW. Molecular epidemiology and transmission dynamics of Mycobacterium tuberculosis in rural Africa. Trop Med Int Health. 1997;2:74753. DOIPubMedGoogle Scholar
  23. Rose  G. The strategy of preventive medicine. Oxford: Oxford University Press; 1992.
  24. Verver  S, Warren  RM, Munch  Z, Vynnycky  E, Van Helden  PD, Richardson  M, Transmission of tuberculosis in a high incidence urban community in South Africa. Int J Epidemiol. 2004;33:3517. DOIPubMedGoogle Scholar
  25. Warren  RM, Victor  TC, Streicher  EM, Richardson  M, Beyers  N, van Pittius  NC, Patients with active tuberculosis often have different strains in the same sputum specimen. Am J Respir Crit Care Med. 2004;169:6104. DOIPubMedGoogle Scholar
  26. Narayanan  S, Das  S, Garg  R, Hari  L, Rao  VB, Frieden  TR, Molecular epidemiology of tuberculosis in a rural area of high prevalence in South India: implications for disease control and prevention. J Clin Microbiol. 2002;40:47858. DOIPubMedGoogle Scholar
  27. Burman  WJ, Reves  RR, Hawkes  AP, Reitmeijer  CA, Yang  Z, el Hajj  H, DNA fingerprinting with two probes decreases clustering of Mycobacterium tuberculosis. Am J Respir Crit Care Med. 1997;155:11406.PubMedGoogle Scholar
  28. 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
  29. Corbett  EL, Charalambos  S, Fielding  K, Clayton  T, Hayes  RJ, De Cock  KM, Stable incidence rates of tuberculosis (TB) among human immunodeficiency virus (HIV)-negative South African gold miners during a decade of epidemic HIV-associated TB. J Infect Dis. 2003;188:115663. DOIPubMedGoogle Scholar




Cite This Article

DOI: 10.3201/eid1205.050789

Table of Contents – Volume 12, Number 5—May 2006

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:

Judith Glynn, IDEU, Keppel St, London, WC1E 7HT, England

Send To

10000 character(s) remaining.


Page created: January 12, 2012
Page updated: January 12, 2012
Page reviewed: January 12, 2012
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.