ArticleThe American journal of tropical medicine and hygiene2024
Estimating the Seroincidence of Scrub Typhus using Antibody Dynamics after Infection.
Article in The American journal of tropical medicine and hygiene, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Methods for estimating the burden of acute tropical infectious diseases: A scoping review.PLoS neglected tropical diseases · 2026Article
- Neglected rickettsial diseases in Southeast Asia: Twenty-five years of progress in surveillance, diagnostics, and clinical research.PLoS neglected tropical diseases · 2026Review
- serocalculator, an R package for estimating seroincidence from cross-sectional serological data.medRxiv : the preprint server for health sciences · 2025Article
- Scrub typhus in Indonesia: A cross-sectional analysis of archived fever studies samples.Transactions of the Royal Society of Tropical Medicine and Hygiene · 2024Article
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Authors and funding
15 authors.
Funding
Abstract
Scrub typhus, a vector-borne bacterial infection, is an important but neglected disease globally. Accurately characterizing the burden is challenging because of nonspecific symptoms and limited diagnostics. Prior seroepidemiology studies have struggled to find consensus cutoffs that permit comparisons of estimates across contexts and time. In this study, we present a novel approach that does not require a cutoff and instead uses information about antibody kinetics after infection to estimate seroincidence. We use data from three cohorts of scrub typhus patients in Chiang Rai, Thailand, and Vellore, India, to characterize antibody kinetics after infection and two population serosurveys in the Kathmandu Valley, Nepal, and Tamil Nadu, India, to estimate seroincidence. The samples were tested for IgM and IgG responses to Orientia tsutsugamushi-derived recombinant 56-kDa antigen using commercial enzyme-linked immunosorbent assay kits. We used Bayesian hierarchical models to characterize antibody responses after scrub typhus infection and used the joint distributions of the peak antibody titers and decay rates to estimate population-level incidence rates in the cross-sectional serosurveys. Median responses persisted above an optical density (OD) of 1.8 for 23.6 months for IgG and an OD of 1 for 4.5 months for IgM. Among 18- to 29-year-olds, the seroincidence was 10 per 1,000 person-years (95% CI, 5-19) in Tamil Nadu, India, and 14 per 1,000 person-years (95% CI: 10-20) in the Kathmandu Valley, Nepal. When seroincidence was calculated with antibody decay ignored, the disease burden was underestimated by more than 50%. The approach can be deployed prospectively, coupled with existing serosurveys, or leverage banked samples to efficiently generate scrub typhus seroincidence estimates.
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