2026-10-12T03:08:58Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34047409 2026-10-01T17:23:20Z category_7 category_8 category_21 category_39 category_46 category_811 category_64 category_132 category_134 category_135 portal_5 item_type_1 month_year_10_2026

<p>Observation model illustrating the distribution of predicted observations.</p> Mhairi J. McCormack (25157587) Louis Banda (5632649) Stephen Kasenda (6844046) Ellen C. Hughes (25157590) Amelia Crampin (272631) Abena S. Amoah (8605329) Jonathan M. Read (9159869) Antonia Ho (10214054) Brian J. Willett (11450469) James A. Hay (6066002) Medicine Microbiology Biotechnology Ecology Immunology Mathematical Sciences not elsewhere classified Cancer Infectious Diseases Virology Computational Biology level bayesian model boosting following reinfection april 2022 ). acute boost remaining accurate epidemiological inference 403 &# 8211 027 &# 8211 rapid waning underscores 679 neutralising antibody reconstruct infection histories quantify antibody kinetics limited routine surveillance particularly among adults malawi </ p infection histories routine surveillance antibody waning antibody kinetics uninfected participants understanding transmission traditional seroconversion three months sustained protection serological measurements saharan africa responses varied regional differences reactivity suggests prior variants one year measured using individuals clustering improved understanding high responders finding populations declined rapidly complicating interpretation based thresholds ancestral b analysed 15 675 unvaccinated 41 vs <p>(A) Observation model for individuals with predicted titres above zero (i.e., individuals with at least one previous infection), showing exponential antibody waning and normally distributed measurements. (B) Observation model for individuals with predicted titres of zero (never infected), where true antibody levels are zero, but occasional false positives occur, represented by the false positivity rate . Blue lines indicate true antibody trajectories over time (absent in B), while red lines show the corresponding observation distributions. LOD — limit of detection. Created with Biorender.com.</p> <p>(PNG)</p> 2026-10-01T17:23:08Z Image Figure 10.1371/journal.pgph.0007133.s008 https://figshare.com/articles/figure/_p_Observation_model_illustrating_the_distribution_of_predicted_observations_p_/34047409 CC BY 4.0