Optimization and analisys of vaccination schedules using simulated annealing and agent based models

Marzio Pennisi, Giulia Russo, Juan A. Sánchez-Lantaron, Pedro A. Reche, Francesco Pappalardo

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Abstract

Vaccines represent nowadays one of the most efficient weapons against foreign pathogens. To be effective, vaccines need a proper administration strategy that requires multiple administrations in order to ensure the acquisition of immunological memory. Vaccination schedules are usually based on past experience, and economical, ethical and time constraints have limited the research for better combinations of timing and dosage. We present here a computational approach based on the use of stochastic optimization techniques and validated "in silico" models to study and optimize vaccination protocols. We use Simulated Annealing in conjunction with a validated agent based model to suggest some interventions that may improve the efficacy of a candidate vaccine composed by influenza-A virosome and natural citrus-derived adjuvants to prevent influenza-A infection.

Lingua originaleInglese
Titolo della pubblicazione ospiteProceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017
EditorIllhoi Yoo, Jane Huiru Zheng, Yang Gong, Xiaohua Tony Hu, Chi-Ren Shyu, Yana Bromberg, Jean Gao, Dmitry Korkin
EditoreInstitute of Electrical and Electronics Engineers Inc.
Pagine1455-1460
Numero di pagine6
ISBN (elettronico)9781509030491
DOI
Stato di pubblicazionePubblicato - 15 dic 2017
Pubblicato esternamente
Evento2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017 - Kansas City, United States
Durata: 13 nov 201716 nov 2017

Serie di pubblicazioni

NomeProceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017
Volume2017-January

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???event.eventtypes.event.conference???2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017
Paese/TerritorioUnited States
CittàKansas City
Periodo13/11/1716/11/17

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