Seroresponse to repeated infections with Salmonella enterica Typhi and Paratyphi A

dc.contributor.authorTeunis P.F.M.
dc.contributor.authorSeidman J.C.
dc.contributor.authorTamrakar D.
dc.contributor.authorQamar F.N.
dc.contributor.authorSaha S.K.
dc.contributor.authorGarrett D.O.
dc.contributor.authorAndrews J.R.
dc.contributor.authorCharles R.C.
dc.contributor.authorAiemjoy K.
dc.contributor.correspondenceTeunis P.F.M.
dc.contributor.otherMahidol University
dc.date.accessioned2026-02-06T18:16:47Z
dc.date.available2026-02-06T18:16:47Z
dc.date.issued2026-03-01
dc.description.abstractEnteric fever, a systematic bacterial infection caused by Salmonella Typhi and Paratyphi, continues to impose a significant public health burden in low and middle-income countries, yet our understanding of the serum antibody dynamics following infection remains incomplete. Although previous work has characterized the longitudinal seroresponses following acute typhoid infection, gaps persist in deciphering how repeated exposures influence antibody decay and protection. In our longitudinal cohort study of blood culture-confirmed enteric fever cases enrolled in Bangladesh, Nepal, and Pakistan, we identified several instances of suspected re-infection defined by an initial decline followed by a subsequent rise in antibody levels. The presence of re-infection events interferes with the estimation of antibody decay dynamics and influences the interpretation of seroepidemiological data at the population level. To study the seroresponses to subsequent infections we employed a synthetic within-host model that accounts for elevated baseline antibody levels at time of infection. Compared to the first seroresponse, second or later responses appear to have similar decay rates. As peak levels depend on the time between infections, a new model-derived metric is proposed that does not depend on time since the most recent infection: the minimum baseline antibody level at infection resulting in a small jump (protective) seroconversion. After infection the time to reach the minimum baseline level increases about tenfold. Finally, we show how ignoring variation in subsequent seroresponses into seroincidence estimates leads to bias in population-level infection rates. These findings underscore the importance of accounting for re-infection in seroepidemiological studies and provide refined metrics for interpreting antibody responses, with critical implications for assessing disease burden and guiding public health strategies in endemic regions.
dc.identifier.citationEpidemics Vol.54 (2026)
dc.identifier.doi10.1016/j.epidem.2025.100874
dc.identifier.eissn18780067
dc.identifier.issn17554365
dc.identifier.pmid41406675
dc.identifier.scopus2-s2.0-105024892922
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/123456789/114487
dc.rights.holderSCOPUS
dc.subjectMedicine
dc.subjectImmunology and Microbiology
dc.titleSeroresponse to repeated infections with Salmonella enterica Typhi and Paratyphi A
dc.typeArticle
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=105024892922&origin=inward
oaire.citation.titleEpidemics
oaire.citation.volume54
oairecerif.author.affiliationHarvard Medical School
oairecerif.author.affiliationMassachusetts General Hospital
oairecerif.author.affiliationStanford University School of Medicine
oairecerif.author.affiliationHarvard T.H. Chan School of Public Health
oairecerif.author.affiliationUC Davis School of Medicine
oairecerif.author.affiliationRollins School of Public Health
oairecerif.author.affiliationThe Aga Khan University
oairecerif.author.affiliationFaculty of Tropical Medicine, Mahidol University
oairecerif.author.affiliationDhulikel Hospital, Kathmandu
oairecerif.author.affiliationChild Health Research Foundation
oairecerif.author.affiliationSabin Vaccine Institute

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