The global tuberculosis (TB) control plan has historically emphasized passive case finding (PCF) as the most practical approach for identifying TB suspects in high burden settings. The success of this approach in controlling TB depends on infectious individuals recognizing their symptoms and voluntarily seeking diagnosis rapidly enough to reduce onward transmission. It now appears, at least in some settings, that more intensified case-finding (ICF) approaches may be needed to control TB transmission; these more aggressive approaches for detecting as-yet undiagnosed cases obviously require additional resources to implement. Given that TB control programs are resource constrained and that the incremental yield of ICF is expected to wane over time as the pool of undiagnosed cases is depleted, a tool that can help policymakers to identify when to implement or suspend an ICF intervention would be valuable. In this article, we propose dynamic case-finding policies that allow policymakers to use existing observations about the epidemic and resource availability to determine when to switch between PCF and ICF to efficiently use resources to optimize population health. Using mathematical models of TB/HIV coepidemics, we show that dynamic policies strictly dominate static policies that prespecify a frequency and duration of rounds of ICF. We also find that the use of a diagnostic tool with better sensitivity for detecting smear-negative cases (e.g., Xpert MTB/RIF) further improves the incremental benefit of these dynamic case-finding policies. (1), emphasizes passive case finding (PCF) as a central tactic for identifying infectious cases requiring treatment. PCF approaches depend on individuals with symptomatic TB to seek out treatment on their own, a practice that is supported by studies indicating that the most infectious patients are aware of their symptoms and seek care (2, 3). Adoption of PCF strategies has been motivated by practical considerations as well. In most high TB incidence settings, resources are limited and PCF allows diagnostic efforts to be focused within existing health facilities and concentrated among suspects at highest risk of TB.The DOTS strategy has significantly improved treatment success rates for individual patients (4) and, where studies have been attempted, has been associated with reduced TB-related mortality in populations (5, 6). Despite clear successes of DOTS programs, there are inherent shortcomings of PCF since this approach may result in either delayed or missed opportunities for diagnosis. These limitations may be especially important in settings where HIV has emerged and triggered large and rapid increases in TB incidence (7).There are many different types of interventions that could be used to increase the vigorousness of TB case detection efforts beyond PCF; in this article, we broadly refer to these alternative approaches as intensified case finding (ICF). ICF approaches are often subclassified as either "enhanced" or "active" case finding and are differentiated by whether emph...