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Mass vaccinations against COVID-19 through the use of technologies for the management of appointment scheduling and data of large volumes of vaccinated()
Mass vaccination poses a challenge for health authorities due to the high volume of people who need to be vaccinated in a short period of time. Manual processes in vaccination centres to record and control vaccinations where the data is entered on paper result in delays in the timely input of inform...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published by Elsevier España, S.L.U.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9613810/ http://dx.doi.org/10.1016/j.vacune.2022.10.024 |
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author | Rodas-Martinez, Alicia K. Altamirano-Yupanqui, Josue R. |
author_facet | Rodas-Martinez, Alicia K. Altamirano-Yupanqui, Josue R. |
author_sort | Rodas-Martinez, Alicia K. |
collection | PubMed |
description | Mass vaccination poses a challenge for health authorities due to the high volume of people who need to be vaccinated in a short period of time. Manual processes in vaccination centres to record and control vaccinations where the data is entered on paper result in delays in the timely input of information rendering the vaccination process inefficient. The proposed prototype, as a strategy for mass COVID-19 vaccination, to generate appointments, record, and control entry to vaccination centres, uses mobile technology, QR codes, and cloud computing to automate these data-driven processes. Technology-based processes help people by giving them the flexibility to choose the most convenient vaccination centre and provide health authorities with data-driven tools for management, control, and real-time decision-making. |
format | Online Article Text |
id | pubmed-9613810 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Published by Elsevier España, S.L.U. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96138102022-10-28 Mass vaccinations against COVID-19 through the use of technologies for the management of appointment scheduling and data of large volumes of vaccinated() Rodas-Martinez, Alicia K. Altamirano-Yupanqui, Josue R. Vacunas (English Edition) Vaccine Strategies Mass vaccination poses a challenge for health authorities due to the high volume of people who need to be vaccinated in a short period of time. Manual processes in vaccination centres to record and control vaccinations where the data is entered on paper result in delays in the timely input of information rendering the vaccination process inefficient. The proposed prototype, as a strategy for mass COVID-19 vaccination, to generate appointments, record, and control entry to vaccination centres, uses mobile technology, QR codes, and cloud computing to automate these data-driven processes. Technology-based processes help people by giving them the flexibility to choose the most convenient vaccination centre and provide health authorities with data-driven tools for management, control, and real-time decision-making. Published by Elsevier España, S.L.U. 2022 2022-10-28 /pmc/articles/PMC9613810/ http://dx.doi.org/10.1016/j.vacune.2022.10.024 Text en © 2022 Published by Elsevier España, S.L.U. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Vaccine Strategies Rodas-Martinez, Alicia K. Altamirano-Yupanqui, Josue R. Mass vaccinations against COVID-19 through the use of technologies for the management of appointment scheduling and data of large volumes of vaccinated() |
title | Mass vaccinations against COVID-19 through the use of technologies for the management of appointment scheduling and data of large volumes of vaccinated() |
title_full | Mass vaccinations against COVID-19 through the use of technologies for the management of appointment scheduling and data of large volumes of vaccinated() |
title_fullStr | Mass vaccinations against COVID-19 through the use of technologies for the management of appointment scheduling and data of large volumes of vaccinated() |
title_full_unstemmed | Mass vaccinations against COVID-19 through the use of technologies for the management of appointment scheduling and data of large volumes of vaccinated() |
title_short | Mass vaccinations against COVID-19 through the use of technologies for the management of appointment scheduling and data of large volumes of vaccinated() |
title_sort | mass vaccinations against covid-19 through the use of technologies for the management of appointment scheduling and data of large volumes of vaccinated() |
topic | Vaccine Strategies |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9613810/ http://dx.doi.org/10.1016/j.vacune.2022.10.024 |
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