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 effec...
Global stakeholders including the World Health Organization rely on predictive models for developing...
Over 30% of the world’s population is infected with Mycobacterium tuberculosis (Mtb), yet only ~5–10...
Global stakeholders including the World Health Organization rely on predictive models for developing...
Although less well-recognised than for other infectious diseases, heterogeneity is a defining featur...
Although less well-recognized than for other infectious diseases, heterogeneity is a defining featur...
Although less well-recognised than for other infectious diseases, heterogeneity is a defining featur...
Background: Diseases occur in populations whose individuals differ in essential characteristics, suc...
TB mathematical models employ various assumptions and approaches in dealing with the heterogeneous i...
Background Diseases occur in populations whose individuals differ in essential characteristics, suc...
abstract: Background The transmission dynamics of Tuberculosis (TB) involve complex epidemiological ...
Background: In current epidemiology of tuberculosis (TB), heterogeneity in infectiousness among TB p...
Global eradication of tuberculosis (TB) is an international agenda. Thus understanding effects of tr...
RationaleThere is substantial state-to-state heterogeneity in tuberculosis (TB) in the United States...
BACKGROUND: Diseases occur in populations whose individuals differ in essential characteristics, suc...
A tuberculosis (TB) model that accounts for heterogeneity in host susceptibility to tuberculosis is ...
Global stakeholders including the World Health Organization rely on predictive models for developing...
Over 30% of the world’s population is infected with Mycobacterium tuberculosis (Mtb), yet only ~5–10...
Global stakeholders including the World Health Organization rely on predictive models for developing...
Although less well-recognised than for other infectious diseases, heterogeneity is a defining featur...
Although less well-recognized than for other infectious diseases, heterogeneity is a defining featur...
Although less well-recognised than for other infectious diseases, heterogeneity is a defining featur...
Background: Diseases occur in populations whose individuals differ in essential characteristics, suc...
TB mathematical models employ various assumptions and approaches in dealing with the heterogeneous i...
Background Diseases occur in populations whose individuals differ in essential characteristics, suc...
abstract: Background The transmission dynamics of Tuberculosis (TB) involve complex epidemiological ...
Background: In current epidemiology of tuberculosis (TB), heterogeneity in infectiousness among TB p...
Global eradication of tuberculosis (TB) is an international agenda. Thus understanding effects of tr...
RationaleThere is substantial state-to-state heterogeneity in tuberculosis (TB) in the United States...
BACKGROUND: Diseases occur in populations whose individuals differ in essential characteristics, suc...
A tuberculosis (TB) model that accounts for heterogeneity in host susceptibility to tuberculosis is ...
Global stakeholders including the World Health Organization rely on predictive models for developing...
Over 30% of the world’s population is infected with Mycobacterium tuberculosis (Mtb), yet only ~5–10...
Global stakeholders including the World Health Organization rely on predictive models for developing...