Cargando…

Usefulness of Electoral Models for COVID-19 Vaccine Distribution

PURPOSE OF REVIEW: In response to the COVID-19 pandemic, there has been a remarkably accelerated development of vaccines worldwide. However, an effective distribution system is crucial for vaccination at a national level. Ecuador was one of the first Latin American countries to be most severely affe...

Descripción completa

Detalles Bibliográficos
Autores principales: Hugo, Héctor D., Michel, Jack, Antón, Christian, Alemán, Washington R., Cueva, Carlos, Bort, Carlos, Andino, Francisco, Edaki, Omoyeme, Shrestha, Prakriti S., Rodó, Laura, Ishak, Angela, Quinonez, Jonathan, Maskey, Upasana, Ozair, Saleha, Choudhari, Jinal, Poudel, Sujan, Jaiswal, Vikash, Au, Zachary, Siddiqui, Usman, Pandav, Krunal, Chohan, Farah, Cunha, Manoel H., Fioroni, Marcelo, Franzese, Luiz A., Reaño, Javier, Rodriguez-Morales, Alfonso J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8982305/
https://www.ncbi.nlm.nih.gov/pubmed/35402142
http://dx.doi.org/10.1007/s40475-022-00251-y
_version_ 1784681780381483008
author Hugo, Héctor D.
Michel, Jack
Antón, Christian
Alemán, Washington R.
Cueva, Carlos
Bort, Carlos
Andino, Francisco
Edaki, Omoyeme
Shrestha, Prakriti S.
Rodó, Laura
Ishak, Angela
Quinonez, Jonathan
Maskey, Upasana
Ozair, Saleha
Choudhari, Jinal
Poudel, Sujan
Jaiswal, Vikash
Au, Zachary
Siddiqui, Usman
Pandav, Krunal
Chohan, Farah
Cunha, Manoel H.
Fioroni, Marcelo
Franzese, Luiz A.
Reaño, Javier
Rodriguez-Morales, Alfonso J.
author_facet Hugo, Héctor D.
Michel, Jack
Antón, Christian
Alemán, Washington R.
Cueva, Carlos
Bort, Carlos
Andino, Francisco
Edaki, Omoyeme
Shrestha, Prakriti S.
Rodó, Laura
Ishak, Angela
Quinonez, Jonathan
Maskey, Upasana
Ozair, Saleha
Choudhari, Jinal
Poudel, Sujan
Jaiswal, Vikash
Au, Zachary
Siddiqui, Usman
Pandav, Krunal
Chohan, Farah
Cunha, Manoel H.
Fioroni, Marcelo
Franzese, Luiz A.
Reaño, Javier
Rodriguez-Morales, Alfonso J.
author_sort Hugo, Héctor D.
collection PubMed
description PURPOSE OF REVIEW: In response to the COVID-19 pandemic, there has been a remarkably accelerated development of vaccines worldwide. However, an effective distribution system is crucial for vaccination at a national level. Ecuador was one of the first Latin American countries to be most severely affected by the pandemic. It has been struggling to expand its vaccination drive and requires a strategy that provides an achievable vaccination rate and maintains its primary care services. This study aims to provide an efficient vaccination model to achieve herd immunity by utilizing the country’s existing infrastructure (the centralized electoral system) for mass vaccination. RECENT FINDINGS: The national electoral data from 2017 and 2021 were used to create estimates for the proposed vaccination model. Two model variations, total personnel, needed, and the number of days needed to vaccinate 50%, 75%, and 100% of the population were considered. The numbers of vaccines needed, and vaccination sites were estimated based on the current number of registered voters and polling stations. The results from the proposed model show that 17,892,353 people can be vaccinated, at 40,093 polling stations, by 90,209 personnel if one vaccinator was available per polling station. SUMMARY: Based on this model, even a conservative estimate shows that 12.56 days are needed to achieve herd immunity, and 16.74 days are needed to vaccinate the entire population of Ecuador. Additionally, we propose that this vaccination model can be used as a blueprint for any country to address similar catastrophes in the future. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40475-022-00251-y.
format Online
Article
Text
id pubmed-8982305
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Springer International Publishing
record_format MEDLINE/PubMed
spelling pubmed-89823052022-04-06 Usefulness of Electoral Models for COVID-19 Vaccine Distribution Hugo, Héctor D. Michel, Jack Antón, Christian Alemán, Washington R. Cueva, Carlos Bort, Carlos Andino, Francisco Edaki, Omoyeme Shrestha, Prakriti S. Rodó, Laura Ishak, Angela Quinonez, Jonathan Maskey, Upasana Ozair, Saleha Choudhari, Jinal Poudel, Sujan Jaiswal, Vikash Au, Zachary Siddiqui, Usman Pandav, Krunal Chohan, Farah Cunha, Manoel H. Fioroni, Marcelo Franzese, Luiz A. Reaño, Javier Rodriguez-Morales, Alfonso J. Curr Trop Med Rep COVID-19 in the Tropics: Impact and Solutions (M. Bottazzi, Section Editor)) PURPOSE OF REVIEW: In response to the COVID-19 pandemic, there has been a remarkably accelerated development of vaccines worldwide. However, an effective distribution system is crucial for vaccination at a national level. Ecuador was one of the first Latin American countries to be most severely affected by the pandemic. It has been struggling to expand its vaccination drive and requires a strategy that provides an achievable vaccination rate and maintains its primary care services. This study aims to provide an efficient vaccination model to achieve herd immunity by utilizing the country’s existing infrastructure (the centralized electoral system) for mass vaccination. RECENT FINDINGS: The national electoral data from 2017 and 2021 were used to create estimates for the proposed vaccination model. Two model variations, total personnel, needed, and the number of days needed to vaccinate 50%, 75%, and 100% of the population were considered. The numbers of vaccines needed, and vaccination sites were estimated based on the current number of registered voters and polling stations. The results from the proposed model show that 17,892,353 people can be vaccinated, at 40,093 polling stations, by 90,209 personnel if one vaccinator was available per polling station. SUMMARY: Based on this model, even a conservative estimate shows that 12.56 days are needed to achieve herd immunity, and 16.74 days are needed to vaccinate the entire population of Ecuador. Additionally, we propose that this vaccination model can be used as a blueprint for any country to address similar catastrophes in the future. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40475-022-00251-y. Springer International Publishing 2022-04-05 2022 /pmc/articles/PMC8982305/ /pubmed/35402142 http://dx.doi.org/10.1007/s40475-022-00251-y Text en © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle COVID-19 in the Tropics: Impact and Solutions (M. Bottazzi, Section Editor))
Hugo, Héctor D.
Michel, Jack
Antón, Christian
Alemán, Washington R.
Cueva, Carlos
Bort, Carlos
Andino, Francisco
Edaki, Omoyeme
Shrestha, Prakriti S.
Rodó, Laura
Ishak, Angela
Quinonez, Jonathan
Maskey, Upasana
Ozair, Saleha
Choudhari, Jinal
Poudel, Sujan
Jaiswal, Vikash
Au, Zachary
Siddiqui, Usman
Pandav, Krunal
Chohan, Farah
Cunha, Manoel H.
Fioroni, Marcelo
Franzese, Luiz A.
Reaño, Javier
Rodriguez-Morales, Alfonso J.
Usefulness of Electoral Models for COVID-19 Vaccine Distribution
title Usefulness of Electoral Models for COVID-19 Vaccine Distribution
title_full Usefulness of Electoral Models for COVID-19 Vaccine Distribution
title_fullStr Usefulness of Electoral Models for COVID-19 Vaccine Distribution
title_full_unstemmed Usefulness of Electoral Models for COVID-19 Vaccine Distribution
title_short Usefulness of Electoral Models for COVID-19 Vaccine Distribution
title_sort usefulness of electoral models for covid-19 vaccine distribution
topic COVID-19 in the Tropics: Impact and Solutions (M. Bottazzi, Section Editor))
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8982305/
https://www.ncbi.nlm.nih.gov/pubmed/35402142
http://dx.doi.org/10.1007/s40475-022-00251-y
work_keys_str_mv AT hugohectord usefulnessofelectoralmodelsforcovid19vaccinedistribution
AT micheljack usefulnessofelectoralmodelsforcovid19vaccinedistribution
AT antonchristian usefulnessofelectoralmodelsforcovid19vaccinedistribution
AT alemanwashingtonr usefulnessofelectoralmodelsforcovid19vaccinedistribution
AT cuevacarlos usefulnessofelectoralmodelsforcovid19vaccinedistribution
AT bortcarlos usefulnessofelectoralmodelsforcovid19vaccinedistribution
AT andinofrancisco usefulnessofelectoralmodelsforcovid19vaccinedistribution
AT edakiomoyeme usefulnessofelectoralmodelsforcovid19vaccinedistribution
AT shresthaprakritis usefulnessofelectoralmodelsforcovid19vaccinedistribution
AT rodolaura usefulnessofelectoralmodelsforcovid19vaccinedistribution
AT ishakangela usefulnessofelectoralmodelsforcovid19vaccinedistribution
AT quinonezjonathan usefulnessofelectoralmodelsforcovid19vaccinedistribution
AT maskeyupasana usefulnessofelectoralmodelsforcovid19vaccinedistribution
AT ozairsaleha usefulnessofelectoralmodelsforcovid19vaccinedistribution
AT choudharijinal usefulnessofelectoralmodelsforcovid19vaccinedistribution
AT poudelsujan usefulnessofelectoralmodelsforcovid19vaccinedistribution
AT jaiswalvikash usefulnessofelectoralmodelsforcovid19vaccinedistribution
AT auzachary usefulnessofelectoralmodelsforcovid19vaccinedistribution
AT siddiquiusman usefulnessofelectoralmodelsforcovid19vaccinedistribution
AT pandavkrunal usefulnessofelectoralmodelsforcovid19vaccinedistribution
AT chohanfarah usefulnessofelectoralmodelsforcovid19vaccinedistribution
AT cunhamanoelh usefulnessofelectoralmodelsforcovid19vaccinedistribution
AT fioronimarcelo usefulnessofelectoralmodelsforcovid19vaccinedistribution
AT franzeseluiza usefulnessofelectoralmodelsforcovid19vaccinedistribution
AT reanojavier usefulnessofelectoralmodelsforcovid19vaccinedistribution
AT rodriguezmoralesalfonsoj usefulnessofelectoralmodelsforcovid19vaccinedistribution