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Vacunaciones masivas contra el COVID-19 mediante el uso de las tecnologías para la gestión de programación de citas y de datos de grandes volúmenes de vacunados
Mass vaccination against COVID-19 using technologies to manage appointment scheduling and data in large volumes of vaccinated people Abstract 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 process...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier España, S.L.U.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9293853/ https://www.ncbi.nlm.nih.gov/pubmed/35873307 http://dx.doi.org/10.1016/j.vacun.2022.07.003 |
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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 against COVID-19 using technologies to manage appointment scheduling and data in large volumes of vaccinated people Abstract 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-9293853 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier España, S.L.U. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92938532022-07-19 Vacunaciones masivas contra el COVID-19 mediante el uso de las tecnologías para la gestión de programación de citas y de datos de grandes volúmenes de vacunados Rodas-Martinez, Alicia K. Altamirano-Yupanqui, Josue R. Vacunas Estrategias Vacunales Mass vaccination against COVID-19 using technologies to manage appointment scheduling and data in large volumes of vaccinated people Abstract 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. Elsevier España, S.L.U. 2022 2022-07-19 /pmc/articles/PMC9293853/ /pubmed/35873307 http://dx.doi.org/10.1016/j.vacun.2022.07.003 Text en © 2022 Elsevier España, S.L.U. All rights reserved. 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 | Estrategias Vacunales Rodas-Martinez, Alicia K. Altamirano-Yupanqui, Josue R. Vacunaciones masivas contra el COVID-19 mediante el uso de las tecnologías para la gestión de programación de citas y de datos de grandes volúmenes de vacunados |
title | Vacunaciones masivas contra el COVID-19 mediante el uso de las tecnologías para la gestión de programación de citas y de datos de grandes volúmenes de vacunados |
title_full | Vacunaciones masivas contra el COVID-19 mediante el uso de las tecnologías para la gestión de programación de citas y de datos de grandes volúmenes de vacunados |
title_fullStr | Vacunaciones masivas contra el COVID-19 mediante el uso de las tecnologías para la gestión de programación de citas y de datos de grandes volúmenes de vacunados |
title_full_unstemmed | Vacunaciones masivas contra el COVID-19 mediante el uso de las tecnologías para la gestión de programación de citas y de datos de grandes volúmenes de vacunados |
title_short | Vacunaciones masivas contra el COVID-19 mediante el uso de las tecnologías para la gestión de programación de citas y de datos de grandes volúmenes de vacunados |
title_sort | vacunaciones masivas contra el covid-19 mediante el uso de las tecnologías para la gestión de programación de citas y de datos de grandes volúmenes de vacunados |
topic | Estrategias Vacunales |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9293853/ https://www.ncbi.nlm.nih.gov/pubmed/35873307 http://dx.doi.org/10.1016/j.vacun.2022.07.003 |
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