Introduction: Scrub typhus is an acute febrile illness caused by the bacterium Orientia tsutsugamushi. Characterizing the population-level burden of scrub typhus is challenging due to the lack of accessible and accurate diagnostics. We describe a new approach using information about seroresponse after infection to generate population-level scrub typhus seroincidence estimates. Methods: We use data from two clinical studies of scrub typhus patients enrolled in Chiang Rai, Thailand, and Vellore, India, and representative population data from two serosurveys in and around the Kathmandu valley, Nepal, and Vellore, India. The samples were tested for IgM and IgG responses to Orientia tsutsugamushi-derived recombinant 56-kDa antigen using commercial ELISA kits. We used Bayesian hierarchical models to fit two-phase models to the antibody responses from scrub typhus cases and used the joint distributions of the peak antibody titers and decay rates to estimate population-level incidence rates in the cross-sectional serosurveys. We compared this new method to a traditional cut-off-based approach for estimating seroincidence. Results: Among 18 to 29-year-olds, the seroincidence of scrub typhus was 886 (95% CI 432-1817) per 100,000 person-years in India and 945 (95% CI: 616-1449) per 100,000 in Nepal. Seroincidence rose with age, reaching a rate of 3231 (95% CI: 2630-3969) per 100,000 among 50 to 89-year-olds in Vellore, India. The seroincidence rates estimated using a cutoff were half the rates we estimated using antibody dynamics. Conclusion: The approach described here can be deployed prospectively, coupled with existing serosurveys, or leverage banked samples to rapidly characterize scrub typhus burden and generate scrub typhus seroincidence estimates that are comparable across populations, regions, and time.