The importance of high-incidence "hotspots" to population-level tuberculosis (TB) incidence remains poorly understood. TB incidence varies widely across countries, but within smaller geographic areas (e.g., cities), TB transmission may be more homogeneous than other infectious diseases. We constructed a steady-state compartmental model of TB in Rio de Janeiro, replicating nine epidemiological variables (e.g., TB incidence) within 1% of their observed values. We estimated the proportion of TB transmission originating from a high-incidence hotspot (6.0% of the city's population, 16.5% of TB incidence) and the relative impact of TB control measures targeting the hotspot vs. the general community. If each case of active TB in the hotspot caused 0.5 secondary transmissions in the general community for each within-hotspot transmission, the 6.0% of people living in the hotspot accounted for 35.3% of city-wide TB transmission. Reducing the TB transmission rate (i.e., number of secondary infections per infectious case) in the hotspot to that in the general community reduced city-wide TB incidence by 9.8% in year 5, and 29.7% in year 50-an effect similar to halving time to diagnosis for the remaining 94% of the community. The importance of the hotspot to city-wide TB control depended strongly on the extent of TB transmission from the hotspot to the general community. High-incidence hotspots may play an important role in propagating TB epidemics. Achieving TB control targets in a hotspot containing 6% of a city's population can have similar impact on citywide TB incidence as achieving the same targets throughout the remaining community.infectious disease transmission | theoretical models | urban population | epidemiology | communicable disease control T uberculosis (TB) remains a leading infectious cause of morbidity and mortality, with over 8.8 million cases and 1.4 million deaths annually worldwide (1). TB is known to cluster in hyperendemic "hotspots" often characterized by crowding (2), poverty (3), HIV infection (4), and other social determinants (5). However, compared with other infectious diseases [e.g., sexually transmitted diseases (6) and vector-borne diseases (7)], where 20% of the population may generate 80% of transmission (7), TB transmission appears relatively more homogeneous. As a result, though spatial targeting is often advocated as an efficient method for achieving control of diseases such as malaria (8), the degree to which hotspots contribute to community-wide transmission of TB remains uncertain. The concept of geographically defined hotspots driving TB transmission has biological plausibility. Preventing TB cases in high-transmission areas (e.g., crowded urban slums, poorly ventilated hospitals) may avert many more secondary transmissions than similar efforts in low-transmission areas. Similarly, cases in high-transmission areas are more likely to represent recent infection (which is more amenable to intervention) than reactivation of latent disease (9). Prior explorations of heterogeneity in TB tra...