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Development of an original algorithm to characterize serological antibody response that improve infectious diseases surveillance

2026-04-24

Abstract excerpt

Interpreting serological data remains challenging, particularly in low-prevalence or cross-reactive contexts, where antibody responses often show substantial overlap between exposed and unexposed individuals and may depart from normal distributional assumptions. Conventional cutoff-based approaches often yield inconsistent or biased estimates of seroprevalence. Here, we present a decisional framework based on fini...

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Literature Corpus work
0d0e59ec-bd92-5114-81b0-a14a4a42c75f
DOI
10.64898/2026.04.16.26350925
Open publication

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