Strategies for COVID-19 vaccination under a shortage scenario: ageo-stochastic modelling approach

In a world being hit by waves of COVID-19, vaccination is a light on the horizon. However, the roll-out of vaccination strategiesand their influence on the pandemic are still open problems. In order to compare the effect of various strategies proposed bythe World Health Organization and other author...

Descripción completa

Detalles Bibliográficos
Autores principales: Barreiro, N. L., Ventura, C. I., Govezensky, T., Núñez, M., Bolcatto, P. G., Barrio, R. A.
Formato: Articulo article acceptedVersion
Lenguaje:Inglés
Publicado: arXiv.org 2021
Materias:
Strategies
Vaccination
Society
Populations
COVID-19
Ciencias Biomédicas
Acceso en línea:http://rdi.uncoma.edu.ar/handle/uncomaid/16237
https://arxiv.org/abs/2104.09590
Aporte de:
Repositorio Institucional UNCo de Universidad Nacional del Comahue
id I22-R178-uncomaid-16237
record_format dspace
institution Universidad Nacional del Comahue
institution_str I-22
repository_str R-178
collection Repositorio Institucional UNCo
language Inglés
topic Strategies
Vaccination
Society
Populations
COVID-19
Ciencias Biomédicas
spellingShingle Strategies
Vaccination
Society
Populations
COVID-19
Ciencias Biomédicas
Barreiro, N. L.
Ventura, C. I.
Govezensky, T.
Núñez, M.
Bolcatto, P. G.
Barrio, R. A.
Strategies for COVID-19 vaccination under a shortage scenario: ageo-stochastic modelling approach
topic_facet Strategies
Vaccination
Society
Populations
COVID-19
Ciencias Biomédicas
description In a world being hit by waves of COVID-19, vaccination is a light on the horizon. However, the roll-out of vaccination strategiesand their influence on the pandemic are still open problems. In order to compare the effect of various strategies proposed bythe World Health Organization and other authorities, a previously developed SEIRS stochastic model of geographical spreadingof the virus is extended by adding a compartment for vaccinated people. The parameters of the model were fitted to describethe pandemic evolution in Argentina, Mexico and Spain to analyze the effect of the proposed vaccination strategies. Themobility parameters allow to simulate different social behaviors (e.g. lock-down interventions). Schemes in which vaccines areapplied homogeneously in all the country, or limited to the most densely-populated areas, are simulated and compared. Thesecond strategy is found to be more effective. Moreover, under the current global shortage of vaccines, it should be remarkedthat immunization is enhanced when mobility is reduced. Additionally, repetition of vaccination campaigns should be timedconsidering the immunity lapse of the vaccinated (and recovered) people. Finally, the model is extended to include the effect ofisolation of detected positive cases, shown to be important to reduce infections.
format Articulo
article
acceptedVersion
author Barreiro, N. L.
Ventura, C. I.
Govezensky, T.
Núñez, M.
Bolcatto, P. G.
Barrio, R. A.
author_facet Barreiro, N. L.
Ventura, C. I.
Govezensky, T.
Núñez, M.
Bolcatto, P. G.
Barrio, R. A.
author_sort Barreiro, N. L.
title Strategies for COVID-19 vaccination under a shortage scenario: ageo-stochastic modelling approach
title_short Strategies for COVID-19 vaccination under a shortage scenario: ageo-stochastic modelling approach
title_full Strategies for COVID-19 vaccination under a shortage scenario: ageo-stochastic modelling approach
title_fullStr Strategies for COVID-19 vaccination under a shortage scenario: ageo-stochastic modelling approach
title_full_unstemmed Strategies for COVID-19 vaccination under a shortage scenario: ageo-stochastic modelling approach
title_sort strategies for covid-19 vaccination under a shortage scenario: ageo-stochastic modelling approach
publisher arXiv.org
publishDate 2021
url http://rdi.uncoma.edu.ar/handle/uncomaid/16237
https://arxiv.org/abs/2104.09590
work_keys_str_mv AT barreironl strategiesforcovid19vaccinationunderashortagescenarioageostochasticmodellingapproach
AT venturaci strategiesforcovid19vaccinationunderashortagescenarioageostochasticmodellingapproach
AT govezenskyt strategiesforcovid19vaccinationunderashortagescenarioageostochasticmodellingapproach
AT nunezm strategiesforcovid19vaccinationunderashortagescenarioageostochasticmodellingapproach
AT bolcattopg strategiesforcovid19vaccinationunderashortagescenarioageostochasticmodellingapproach
AT barriora strategiesforcovid19vaccinationunderashortagescenarioageostochasticmodellingapproach
bdutipo_str Repositorios
_version_ 1764820506188447744

Ejemplares similares