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TMT-Tracing Microbacteria Transimission - 2012

Malawi, 2012 - 2015
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Reference ID
MWI-MEIRU-TMT-2012-v1
Producer(s)
Prof Amelia C Crampin
Collections
Karonga HDSS
Metadata
Documentation in PDF DDI/XML JSON
Created on
Nov 14, 2025
Last modified
Nov 15, 2025
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31757
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  • Study Description
  • Data Dictionary
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  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Survey instrument
  • Data collection
  • Access policy
  • Data Access
  • Metadata production
  • Identification

    Survey ID number

    MWI-MEIRU-TMT-2012-v1

    Title

    TMT-Tracing Microbacteria Transimission - 2012

    Translated Title

    English

    Country
    Name Country code
    Malawi MWI
    Study type

    Intervention Study

    Abstract

    1 The HIV epidemic continues to present a major challenge to TB control. ART reduces TB risk at the individual level, but the risk remains well above that of HIV-negative individuals, even at high CD4 counts.1 With growing numbers of people on ART, with long survival and increased risk of smear-positive pulmonary disease, the expected population impacts are unclear. In Malawi TB notifications have stopped declining for the last two years.
    The newly launched Stop TB 2011-2015 plan acknowledges that as well as stepping-up current control measures, more fundamental research is needed if the WHO target of “elimination of TB by 2050” is to be met.2 One area of research is to understand where transmission is occurring.
    KPS has previously shown that recent infection is the predominant cause of TB in HIV-infected individuals,3-4 that HIV-infected cases play an important role in transmission,5 and that ART may be increasing TB rates at the population level in Karonga district. Interrupting ongoing transmission is key to control and will have more immediate impact than those interventions addressing latent infection which are required for long term control.
    We know that most M.tb infection is due to casual contacts. Based on DNA fingerprinting, we have shown that about two thirds of the TB in adults is due to recent transmission, 6 but only about 12% of TB in the population is attributable to identifiable contacts, and even those with known household or close family contact with smear positive TB were likely to have acquired their TB elsewhere.7 This shows that contact tracing is unlikely to contribute much to TB control, with the exception is spouses of TB patients, about 40% of whom are HIV positive, have a high risk of TB, and can be easily identified.
    Ongoing transmission in the population is measured by the rate of M.tb infection, most easily determined through age-specific skin test positivity in children. Since Mtb infection is a relatively rare event, if a child is infected with Mtb, the infection event should have happened recently. Considering the relative reduced mobility of children, the source of infection will also probably be local.
    We intend to monitor children in our demographic surveillance area in the south of the District (total population ~35,000) to investigate the overall prevalence and distribution of skin test positivity, and the relationship to known smear positive cases of tuberculosis (62 smear positive cases in the past five years in the area), aiming to identify clusters of transmission events. We have previously found that although skin test positivity in the under fives is higher in those living in the household of a smear positive TB case, (34%, compared to 8% with no known household contact), 93% of infections occur in households without known cases.

    2, Interrupting ongoing transmission of Mycobacterium tuberculosis is key to control and will have more immediate impact than those interventions addressing latent infection which are required for long term control.
    In high burden countries, M.tuberculosis infection is due to casual contacts and only a small proportion of TB cases are attributable to identifiable contacts. Even in children under five years old, the majority of infections occur in households without known cases.
    In the Karonga demographic survey area we propose to assess tuberculin skin test (TST) sensitivity in children and identify new infections to track transmission. Young children spend more time near their home and close family than do adults, and are less likely to be already infected, so increasing the chance of being able to pinpoint the source of infection. Staff will conduct TST on children <5 years, with follow-up a year. Prevalent TST “positivity” will be mapped to establish linkage to known cases within the last five years. All children <5 with evidence of incident infection will be investigated with a commercial interferon gamma release assay (IGRA). All household, neighbourhood and regular visitor contacts of these newly-infected children (~20 contacts/child) will be screened at the household. This will establish the contribution of known symptomatic cases, “silent” but detectable excretors, and unknown sources, to transmission of infection in the population. Children <5 with incident infection will be offered isoniazid preventive therapy.

    Kind of Data

    Biomeasures data

    Unit of Analysis

    Individual

    Version

    Version Description
    • v1: Edited data,First version, for internal use only
    Version Date

    2012-06-26

    Scope

    Notes

    TMT1 - INFECTION FOLLOW UP FORM - KPS - Households visited in the last year, MAin Carrier/s of Child if under 1 year old, GATHERINGS, Education, PREVIOUS TB TREATMENT, CONTACT WITH OTHER TB PATIENTS IN THE LAST YEAR, HOUSEHOLD CONTACTS OR MEMBERS OF THE FAMILY WHO HAVE HAD TB IN THE LAST YEAR, OTHER PEOPLE CHILD KNOWS WHO HAVE HAD TB IN THE LAST YEAR, PRE-ISONIAZID PREVENTIVE THERAPY SCREEN, ANTHROPOMETRIC MEASUREMENTS, BCG scar survey

    TMTc questionnaire- KPS - Households visited in the last year, MAin Carrier/s of Child if under 1 year old, GATHERINGS, Education, CONTACT WITH OTHER TB PATIENTS IN THE LAST YEAR.

    Coverage

    Geographic Coverage

    MEIRU, Chilumba DSS

    Universe

    1, For the Tuberculin Skin Test screening we will include all children under 5 years old living in the Demographic Surveillance Area. We will seek written consent from the guardian for each child.
    2, all children <5 years old resident in the demographic surveillance area suspected sources of M.tb infection (household, neighbourhood and regular visitor contacts of children with a positive TST) resident in the demographic surveillance area

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Prof Amelia C Crampin London School of Hygiene and Tropical Medicine & MEIRU
    Producers
    Name Affiliation Role
    Prof Judith Glynn London School of Hygiene and Tropical Medicine Co-investigators
    Dr Rein Houben London School of Hygiene and Tropical Medicine Co-investigators
    Prof Neil French Liverpool School of Tropical Medicine Co-investigators
    Berlings Mhango Ministry of Health, National TB Programme Co-investigators
    Sebastian Mboma MEIRU/KPS Co-investigators
    Themba Mzembe MEIRU/KPS Co-investigators
    Funding Agency/Sponsor
    Name Abbreviation
    Wellcome Trust, UK WT-UK
    Other Identifications/Acknowledgments
    Name
    MEIRU Core datamanagement team

    Survey instrument

    Questionnaires

    attached here as external resources

    Data collection

    Dates of Data Collection
    Start End
    2012-07-17 2015-07-28
    Mode of data collection
    • Face-to-face [f2f]
    Data Collectors
    Name Abbreviation
    Malawi Epidemiology and Intervention Research Unit MEIRU

    Access policy

    Archive where study is originally stored

    Chilumba

    Data Access

    Access authority
    Name
    Malawi Epidemiology and Intervention Research Unit
    Access conditions

    This data is made available for licensed access under the following conditions:

    1. Data and other material provided by MEIRU will not be redistributed or sold to other individuals, institutions or organisations without MEIRU's written agreement.

    2. In the case of multi-centre datasets, data originating from a single contributing member centre of the collaboration may not be analysed or reported on in isolation without the express permission of the member centre concerned.

    3. No attempt will be made to re-identify respondents, and there will be no use of the identity of any person or establishment discovered inadvertently. Any such discovery will be reported immediately to MEIRU.

    4. No attempt will be made to produce links between datasets provided by MEIRU or between MEIRU data and other datasets that could identify individuals.

    5. Any books, articles, conference papers, theses, dissertations, reports or other publications employing data obtained from MEIRU will cite the source, in line with the citation requirement provided with the dataset.

    6. An electronic copy of all publications based on the requested data will be sent to MEIRU.

    Metadata production

    DDI Document ID

    DDI-MWI-MEIRU-TMT-2012-v1

    Producers
    Name Abbreviation Affiliation Role
    Themba Chirwa TC MEIRU Metadata Entry and Editing Officer
    Elizabeth Nancy Munthali ENM MEIRU Metadata Supervisor
    Chifundo Kanjala CK MEIRU Documentation Planning and Supervision
    Malawi Epidemiology and Intervention Research Unit MEIRU MEIRU Agency
    Jacky Saul JS LSHTM and MEIRU Production of the documentation used to create this DDI document
    Keith Branson KB LSHTM and MEIRU Production of the documentation used to create this DDI document
    Date of Metadata Production

    2020-04-14

    Metadata version

    DDI Document version

    version 1 ( June 2019 )

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