S1 Data - Higher loss of livelihood and impoverishment in households affected by tuberculosis compared to non-tuberculosis affected households in Zimbabwe: A cross-sectional study
Tuberculosis (TB) disproportionally affects poor people, leading to income and non-income losses. Measures of socioeconomic impact of TB, e.g. impoverishment and patient costs are inadequate to capture non-income losses. We applied impoverishment and a multidimensional measure on TB and non-TB affected households in Zimbabwe. We conducted a cross-sectional study in 270 households: 90 non-TB; 90 drug-susceptible TB (DS-TB), 90 drug-resistant TB (DR-TB) during the COVID-19 pandemic (2020–2021). Household data included ownership of assets, number of household members, income and indicators on five capital assets: financial, human, social, natural and physical. Households with incomes per capita below US$1.90/day were considered impoverished. We used principal component analysis on five capital asset indicators to create a binary outcome variable indicating loss of livelihood. Log-binomial regression was used to determine associations between loss of livelihood and type of household. TB-affected households were more likely to report episodes of TB and household members requiring care than non-TB households. The proportions of impoverished households were 81% (non-TB), 88% (DS-TB) and 94% (DR-TB) by the time of interview. Overall, 56% (152/270) of households sold assets: 44% (40/90) non-TB, 58% (52/90) DS-TB and 67% (60/90) DR-TB. Children’s education was affected in 33% (55/168) of TB-affected compared to 14% (12/88) non-TB households. Overall, 133 (50%) households experienced loss of livelihood, with TB-affected households almost twice as likely to experience loss of livelihood; adjusted prevalence ratio (aPR = 1.78 [95%CI:1.09–2.89]). The effect of TB on livelihood was most pronounced in poorest households (aPR = 2.61, [95%CI:1.47–4.61]). TB-affected households experienced greater socioeconomic losses compared to non-TB households. Multisectoral social protection is crucial to mitigate impacts of TB and other shocks, especially targeting poorest households.
Keywords
Tuberculosis; COVID 19; Zimbabwe; Schools; Pandemics; HIV| Item Type | Dataset |
|---|---|
| Resource Type |
Resource Type Resource Description Dataset Quantitative |
| Capture method | Questionnaire |
| Date | 7 June 2024 |
| Language(s) of written materials | English |
| Creator(s) |
Timire, C |
| LSHTM Faculty/Department |
Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology & Dynamics (2023-) Faculty of Infectious and Tropical Diseases > Dept of Clinical Research Faculty of Public Health and Policy > Dept of Global Health and Development |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
| Date Deposited | 10 Feb 2026 15:09 |
| Last Modified | 10 Feb 2026 16:16 |
| Publisher | PLOS Global Public Health |
Explore Further
- Timire, Collins
- Houben, Rein M G J
- Pedrazzoli, Debora
- Ferrand, Rashida
- Calderwood, Claire
- Bond, Virginia
- Kranzer, Katharina
- Dept of Infectious Disease Epidemiology & Dynamics (2023-)
- Dept of Clinical Research
- Dept of Global Health and Development
- Data record - Figshare (Data)
- Data download – Figshare (Online Data Resource)
- Codebook record - Figshare (Data)
- Codebook download - Figshare (Data)
- Collection record - Figshare (Data)
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- Data record - Figshare (Data)
- Data download – Figshare (Online Data Resource)
- Codebook record - Figshare (Data)
- Codebook download - Figshare (Data)
- Collection record - Figshare (Data)