COVID-19 Vaccination Strategies Considering Hesitancy Using Particle-Based Epidemic Simulation

Vaccine hesitancy is one of the critical factors in achieving herd immunity and suppressing the COVID-19 epidemic. Many countries face this as an acute public health issue that diminishes the efficacy of their vaccination campaigns. Epidemic modeling and simulation can be used to predict the effects of different vaccination strategies. In this work, we present an open-source particle-based COVID-19 simulator with a vaccination module capable of taking into account the vaccine hesitancy of the population. To demonstrate the efficacy of the simulator, we conducted extensive simulations for the province of Lecco, Italy. The results indicate that the combination of both high vaccination rate and low hesitancy leads to faster epidemic suppression.

Medienart:

E-Artikel

Erscheinungsjahr:

2021

Erschienen:

2021

Enthalten in:

Zur Gesamtaufnahme - volume:2021

Enthalten in:

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference - 2021(2021) vom: 17. Nov., Seite 1985-1988

Sprache:

Englisch

Beteiligte Personen:

Karabay, Aknur [VerfasserIn]
Kuzdeuov, Askat [VerfasserIn]
Varol, Huseyin Atakan [VerfasserIn]

Links:

Volltext

Themen:

COVID-19 Vaccines
Journal Article

Anmerkungen:

Date Completed 20.12.2021

Date Revised 20.12.2021

published: Print

Citation Status MEDLINE

doi:

10.1109/EMBC46164.2021.9630797

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM334282047