Abstract
Although less well-recognised than for other infectious diseases, heterogeneity is a defining feature of TB epidemiology. To advance toward TB elimination, this heterogeneity must be better understood and addressed. Drivers of heterogeneity in TB epidemiology act at the level of the infectious host, organism, susceptible host, environment and distal determinants. These effects may be amplified by social mixing patterns, while the variable latent period between infection and disease may mask heterogeneity in transmission. Reliance on notified cases may lead to misidentification of the most affected groups, as case detection is often poorest where prevalence is highest. Assuming average rates apply across diverse groups and ignoring the effects of cohort selection may result in misunderstanding of the epidemic and the anticipated effects of control measures. Given this substantial heterogeneity, interventions targeting high-risk groups based on location, social determinants or comorbidities could improve efficiency, but raise ethical and equity considerations
| Original language | English |
|---|---|
| Pages (from-to) | 159-166 |
| Number of pages | 8 |
| Journal | Clinical Infectious Diseases |
| Volume | 69 |
| Issue number | 1 |
| Early online date | 1 Nov 2018 |
| DOIs | |
| Publication status | Published - 1 Jul 2019 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Case detection
- Epidemiology
- Heterogeneity
- Interventions
- Tuberculosis
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