Schiavone, Carmine (2025) Scale-Up from Individuals to Populations: Process-Aware Optimization of Antibody Durability and Boosting. [Tesi di dottorato]

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Tipologia del documento: Tesi di dottorato
Lingua: English
Titolo: Scale-Up from Individuals to Populations: Process-Aware Optimization of Antibody Durability and Boosting
Autori:
Autore
Email
Schiavone, Carmine
carmineschuni@gmail.com
Data: 31 Ottobre 2025
Numero di pagine: 168
Istituzione: Università degli Studi di Napoli Federico II
Dottorato: Ingegneria dei prodotti e dei processi industriali
Ciclo di dottorato: 38
Coordinatore del Corso di dottorato:
nome
email
D'Anna, Andrea
andrea.danna@unina.it
Tutor:
nome
email
Sergio, Caserta
[non definito]
Data: 31 Ottobre 2025
Numero di pagine: 168
Parole chiave: Vaccine, Mathematical modeling, PKPD, QSP
Settori scientifico-disciplinari del MIUR: Area 09 - Ingegneria industriale e dell'informazione > ING-IND/24 - Principi di ingegneria chimica
Informazioni aggiuntive: Ciclo 38esimo
Depositato il: 26 Gen 2026 10:59
Ultima modifica: 12 Ago 2026 05:39
URI: https://www.fedoa.unina.it/id/eprint/17112

Abstract

Vaccination averts millions of deaths, but protection wanes and varies by variant, age, and immune competence. This thesis links within‑host immunodynamics to dosing policy to minimize vulnerability windows—the time antibody titers fall below efficacy‑relevant thresholds. We develop a mechanistic model of antigen presentation, T follicular helper mediated germinal‑center selection and affinity maturation, plasma‑cell (short‑lived and long‑lived) generation, and neutralizing IgG kinetics, calibrated to longitudinal datasets. We then perform schedule optimization over primary dose spacing and booster timing to balance near‑term coverage against maturation, stratified by immune status (healthy, mildly, highly immuno-compromised). At the individual level, early post‑dose titers inform compact parameter sets that predict peak magnitude and durability, enabling phenotype‑aware recommendations. Finally, individual parameter distributions are propagated through between‑host transmission models to compare phenotype‑aware boosting with coarse health‑factor rules, preferentially targeting weak responders while conserving doses in strong responders.

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