Accounting for the spread of vaccination behavior to optimize influenza vaccination programs.

Vaccination is the most efficient means of preventing influenza infection and its complications. While previous studies have considered the externalities of vaccination that arise from indirect protection against influenza infection, they have often neglected another key factor-the spread of vaccina...

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Autores principales:	Dor Kahana, Dan Yamin
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/28584d66a04d437dbc9541678ef8c7d7
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spelling	oai:doaj.org-article:28584d66a04d437dbc9541678ef8c7d72021-12-02T20:07:17ZAccounting for the spread of vaccination behavior to optimize influenza vaccination programs.1932-620310.1371/journal.pone.0252510https://doaj.org/article/28584d66a04d437dbc9541678ef8c7d72021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0252510https://doaj.org/toc/1932-6203Vaccination is the most efficient means of preventing influenza infection and its complications. While previous studies have considered the externalities of vaccination that arise from indirect protection against influenza infection, they have often neglected another key factor-the spread of vaccination behavior among social contacts. We modeled influenza vaccination as a socially contagious process. Our model uses a contact network that we developed based on aggregated and anonymized mobility data from the cellphone devices of ~1.8 million users in Israel. We calibrated the model to high-quality longitudinal data of weekly influenza vaccination uptake and influenza diagnoses over seven years. We demonstrate how a simple coupled-transmission model accurately captures the spatiotemporal patterns of both influenza vaccination uptake and influenza incidence. Taking the identified complex underlying dynamics of these two processes into account, our model determined the optimal timing of influenza vaccination programs. Our simulation shows that in regions where high vaccination coverage is anticipated, vaccination uptake would be more rapid. Thus, our model suggests that vaccination programs should be initiated later in the season, to mitigate the effect of waning immunity from the vaccine. Our simulations further show that optimally timed vaccination programs can substantially reduce disease transmission without increasing vaccination uptake.Dor KahanaDan YaminPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 6, p e0252510 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Dor Kahana Dan Yamin Accounting for the spread of vaccination behavior to optimize influenza vaccination programs.
description	Vaccination is the most efficient means of preventing influenza infection and its complications. While previous studies have considered the externalities of vaccination that arise from indirect protection against influenza infection, they have often neglected another key factor-the spread of vaccination behavior among social contacts. We modeled influenza vaccination as a socially contagious process. Our model uses a contact network that we developed based on aggregated and anonymized mobility data from the cellphone devices of ~1.8 million users in Israel. We calibrated the model to high-quality longitudinal data of weekly influenza vaccination uptake and influenza diagnoses over seven years. We demonstrate how a simple coupled-transmission model accurately captures the spatiotemporal patterns of both influenza vaccination uptake and influenza incidence. Taking the identified complex underlying dynamics of these two processes into account, our model determined the optimal timing of influenza vaccination programs. Our simulation shows that in regions where high vaccination coverage is anticipated, vaccination uptake would be more rapid. Thus, our model suggests that vaccination programs should be initiated later in the season, to mitigate the effect of waning immunity from the vaccine. Our simulations further show that optimally timed vaccination programs can substantially reduce disease transmission without increasing vaccination uptake.
format	article
author	Dor Kahana Dan Yamin
author_facet	Dor Kahana Dan Yamin
author_sort	Dor Kahana
title	Accounting for the spread of vaccination behavior to optimize influenza vaccination programs.
title_short	Accounting for the spread of vaccination behavior to optimize influenza vaccination programs.
title_full	Accounting for the spread of vaccination behavior to optimize influenza vaccination programs.
title_fullStr	Accounting for the spread of vaccination behavior to optimize influenza vaccination programs.
title_full_unstemmed	Accounting for the spread of vaccination behavior to optimize influenza vaccination programs.
title_sort	accounting for the spread of vaccination behavior to optimize influenza vaccination programs.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/28584d66a04d437dbc9541678ef8c7d7
work_keys_str_mv	AT dorkahana accountingforthespreadofvaccinationbehaviortooptimizeinfluenzavaccinationprograms AT danyamin accountingforthespreadofvaccinationbehaviortooptimizeinfluenzavaccinationprograms
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Accounting for the spread of vaccination behavior to optimize influenza vaccination programs.

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