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The Importance of Heterogeneity to the Epidemiology of Tuberculosis
Author(s) -
James M. Trauer,
Peter J. Dodd,
M. Gabriela M. Gomes,
Gabriela B. Gomez,
Rein M G J Houben,
Emma S. McBryde,
Yayehirad Alemu Melsew,
Nicolas A. Menzies,
Nimalan Arinaminpathy,
Sourya Shrestha,
David W. Dowdy
Publication year - 2018
Publication title -
clinical infectious diseases
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.44
H-Index - 336
eISSN - 1537-6591
pISSN - 1058-4838
DOI - 10.1093/cid/ciy938
Subject(s) - tuberculosis , epidemiology , medicine , psychological intervention , cohort , study heterogeneity , disease , infectious disease (medical specialty) , equity (law) , mathematical modelling of infectious disease , environmental health , demography , meta analysis , pathology , psychiatry , sociology , political science , law
Although less well-recognized than for other infectious diseases, heterogeneity is a defining feature of tuberculosis (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 that 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.

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