Leveraging paired serology to estimate the incidence of typhoidal Salmonella infection in the STRATAA study

Serologic surveillance of at-risk populations can be used to directly estimate the incidence of typhoidal Salmonella infection across a variety of settings, including those without access to facility-based blood-culture surveillance. We collected paired blood samples approximately three months apart from an age-stratified random sample of healthy children and adults in Bangladesh, Malawi, and Nepal as part of the Strategic Typhoid Alliance Across Asia and Africa (STRATAA) study. We used a multiplex bead assay to measure the concentration of IgG antibodies against seven Salmonella typhi/paratyphi antigens (CdtB, FliC, HlyE, LPSO2, LPSO9, Vi, and YncE) in each sample and identified recently infected participants by fitting a regression mixture model to the change in IgG concentration between participants' samples. We estimated the seroincidence of infection in a Bayesian framework for each study site, age group, and antigen target. Finally, we compared the seroincidence estimates with crude and adjusted estimates of clinical incidence based on blood-culture surveillance. Seroincidence estimates were significantly higher than enteric fever incidence across all study sites, age groups, and antigen targets, even after adjusting for underreporting (median ratio: 24.2, interquartile range: 11.4-58.9). Seroincidence consistently peaked in the 0-4-year age group and declined moderately between children and adults (33% to 58% decline in HlyE seroincidence between the 5-9 and 30 + year old age groups), while enteric fever incidence peaked in older children and fell sharply in adults (71% to 95% decline in adjusted clinical incidence). Seroincidence estimates based on the FliC, YncE, and HlyE antigens individually had the strongest correlation with observed enteric fever incidence across age groups and study sites (r = 0.72, 0.69, and 0.63, respectively). These findings suggest that in endemic settings, both children and adults are frequently infected by typhoidal Salmonella serotypes, although only a fraction of these infections present as clinically identifiable enteric fever cases.

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Journal
PLoS neglected tropical diseases
Published
2025-10-09
DOI
https://doi.org/10.1371/journal.pntd.0013612
Citations
1
Primary Topic
Salmonella and Campylobacter epidemiology
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article
Field-Weighted Citation Impact
1.16
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article

Leveraging paired serology to estimate the incidence of typhoidal Salmonella infection in the STRATAA study

Young Chan Kim, Christiane Dolecek, Mila Shakya, Joseph W. Walker et al.
1 citations
PLoS neglected tropical diseases
Salmonella and Campylobacter epidemiology
1.16
article

Leveraging paired serology to estimate the incidence of typhoidal Salmonella infection in the STRATAA study

Young Chan Kim, Christiane Dolecek, Mila Shakya, Joseph W. Walker, Thomas C. Darton, Paula Russell, James Meiring, Tran Vu Thieu Nga, Robert S. Heyderman, Leanne M. Kermack, Elli Mylona, Sonu Shrestha, Farhana Khanam, Andrew J. Pollard, Melita A. Gordon, Josefin Bartholdson Scott, Merryn Voysey, Arne Gehlhaar, John D. Clemens, Deus Thindwa, Virginia E. Pitzer, Susan Tonks, Tan Trinh Van, Buddha Basnyat, Susana Camara
article en
1 citations

Abstract

Serologic surveillance of at-risk populations can be used to directly estimate the incidence of typhoidal Salmonella infection across a variety of settings, including those without access to facility-based blood-culture surveillance. We collected paired blood samples approximately three months apart from an age-stratified random sample of healthy children and adults in Bangladesh, Malawi, and Nepal as part of the Strategic Typhoid Alliance Across Asia and Africa (STRATAA) study. We used a multiplex bead assay to measure the concentration of IgG antibodies against seven Salmonella typhi/paratyphi antigens (CdtB, FliC, HlyE, LPSO2, LPSO9, Vi, and YncE) in each sample and identified recently infected participants by fitting a regression mixture model to the change in IgG concentration between participants' samples. We estimated the seroincidence of infection in a Bayesian framework for each study site, age group, and antigen target. Finally, we compared the seroincidence estimates with crude and adjusted estimates of clinical incidence based on blood-culture surveillance. Seroincidence estimates were significantly higher than enteric fever incidence across all study sites, age groups, and antigen targets, even after adjusting for underreporting (median ratio: 24.2, interquartile range: 11.4-58.9). Seroincidence consistently peaked in the 0-4-year age group and declined moderately between children and adults (33% to 58% decline in HlyE seroincidence between the 5-9 and 30 + year old age groups), while enteric fever incidence peaked in older children and fell sharply in adults (71% to 95% decline in adjusted clinical incidence). Seroincidence estimates based on the FliC, YncE, and HlyE antigens individually had the strongest correlation with observed enteric fever incidence across age groups and study sites (r = 0.72, 0.69, and 0.63, respectively). These findings suggest that in endemic settings, both children and adults are frequently infected by typhoidal Salmonella serotypes, although only a fraction of these infections present as clinically identifiable enteric fever cases.

PLoS neglected tropical diseasesVol. 19(10)
International Vaccine Institute (KR), Patan Academy of Health Sciences (NP), University of Liverpool (GB), University of Malawi (MW), University of California, Los Angeles (US), International Centre for Diarrhoeal Disease Research (BD), University of Cambridge (GB), Malawi-Liverpool-Wellcome Trust Clinical Research Programme (MW), UCLA Health (US), Patan Hospital (NP), Yale University (US), University of Oxford (GB), Biology of Infection (FR), Oxford BioMedica (United Kingdom) (GB), Oxford University Clinical Research Unit (VN), Hospital for Tropical Diseases (VN), University College London (GB), Fielding Graduate University (US), University of Sheffield (GB)
Openalex Percentile: Top 17%
Salmonella and Campylobacter epidemiology
1.16
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