IMBA Hutano: multimorbidity among people with tuberculosis and household comparators dataset
Calderwood, C
(2026).
IMBA Hutano: multimorbidity among people with tuberculosis and household comparators dataset.
[Dataset].
London School of Hygiene & Tropical Medicine, London, United Kingdom.
10.17037/DATA.00004573.
Data produced as part of the IMBA Hutano study, investigating chronic diseases among TB-affected households in Eastern and Southern Africa. This dataset includes data from 96 people with TB with TB from study households in Zimbabwe who completed an integrated health check (average of 6 months after TB treatment completion), together with data for 285 household comparators without prior or current tuberculosis. The dataset is cross-sectional, one row per person.
Keywords
Tuberculosis; Post-TB; Multimorbidity; Integration; ZimbabweParent Collection(s)
| Item Type | Dataset |
|---|---|
| Resource Type |
Resource Type Resource Description Dataset Quantitative |
| Capture method | Interview, Measurements and tests, Physical measurements and tests |
| Collection Period |
From To 20 April 2022 11 March 2024 |
| Date | 24 June 2026 |
| Language(s) of written materials | English |
| Creator(s) |
Calderwood, C |
| Associated roles | Kranzer, K (Researcher) and Marambire, E (Researcher) |
| LSHTM Faculty/Department | Faculty of Infectious and Tropical Diseases > Dept of Clinical Research |
| Research Centre |
Centre for Global Chronic Conditions TB Centre |
| Research Group | The Health Research Unit Zimbabwe |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom; Biomedical Research & Training Institute, Zimbabwe |
| Funders |
Project Funder Grant Number Funder URI |
| Date Deposited | 03 Jul 2026 12:00 |
| Last Modified | 03 Jul 2026 12:03 |
| Publisher | London School of Hygiene & Tropical Medicine |
Data / Code
imbaindex_analysis_dataset.zip
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subject - Data
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copyright - Available under Data Sharing Agreement
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info - Dataset on multimorbidity among people with tuberculosis
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ORCID: https://orcid.org/0000-0002-1926-7464
