Development of a Web-based Application for Optimal Allocation of COVID-19 Vaccine

The COVID-19 pandemic posed a huge impact to the global economy and on the environment. Recent developments in battling the pandemic include the availability of vaccines for public use. The distribution of vaccines requires systematic planning as supplies to a given region can be limited. Process in...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	John Frederick D. Tapia, Joshua Manzano, Ian Benedict Ona, Unisse Chua
Formato:	article
Lenguaje:	EN
Publicado:	AIDIC Servizi S.r.l. 2021
Materias:	Chemical engineering TP155-156 Computer engineering. Computer hardware TK7885-7895
Acceso en línea:	https://doaj.org/article/2410c0c8febe4e31a6c342da0be0487d
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:2410c0c8febe4e31a6c342da0be0487d
record_format	dspace
spelling	oai:doaj.org-article:2410c0c8febe4e31a6c342da0be0487d2021-11-15T21:48:12ZDevelopment of a Web-based Application for Optimal Allocation of COVID-19 Vaccine10.3303/CET21880922283-9216https://doaj.org/article/2410c0c8febe4e31a6c342da0be0487d2021-11-01T00:00:00Zhttps://www.cetjournal.it/index.php/cet/article/view/11885https://doaj.org/toc/2283-9216The COVID-19 pandemic posed a huge impact to the global economy and on the environment. Recent developments in battling the pandemic include the availability of vaccines for public use. The distribution of vaccines requires systematic planning as supplies to a given region can be limited. Process integration techniques such as mathematical programming can be applied to develop solutions for systematic planning of COVID-19 vaccine distribution. To enable the use of mathematical programs for policymakers, a graphical user interface is needed. In this study, a web-based application (app) for allocating vaccines is presented, utilizing non-linear programs to optimally distribute vaccines to different population groups. Two models are incorporated in the app: (1) a model that minimizes the number of vaccines required to slow down the spread of the disease, i.e., reduce the reproductive number to less than one and (2) a model that determines the optimal allocation at the minimum reproductive number. The optimization models for the app were written in Python using the Pyomo package while the graphical user interface is written in JavaScript with the use of the React library. The optimization models are accessed through an API served using a Python web server utilizing the web framework Flask. A case study is used to illustrate how the models work in the web application.John Frederick D. TapiaJoshua ManzanoIan Benedict Ona Unisse ChuaAIDIC Servizi S.r.l.articleChemical engineeringTP155-156Computer engineering. Computer hardwareTK7885-7895ENChemical Engineering Transactions, Vol 88 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Chemical engineering TP155-156 Computer engineering. Computer hardware TK7885-7895
spellingShingle	Chemical engineering TP155-156 Computer engineering. Computer hardware TK7885-7895 John Frederick D. Tapia Joshua Manzano Ian Benedict Ona Unisse Chua Development of a Web-based Application for Optimal Allocation of COVID-19 Vaccine
description	The COVID-19 pandemic posed a huge impact to the global economy and on the environment. Recent developments in battling the pandemic include the availability of vaccines for public use. The distribution of vaccines requires systematic planning as supplies to a given region can be limited. Process integration techniques such as mathematical programming can be applied to develop solutions for systematic planning of COVID-19 vaccine distribution. To enable the use of mathematical programs for policymakers, a graphical user interface is needed. In this study, a web-based application (app) for allocating vaccines is presented, utilizing non-linear programs to optimally distribute vaccines to different population groups. Two models are incorporated in the app: (1) a model that minimizes the number of vaccines required to slow down the spread of the disease, i.e., reduce the reproductive number to less than one and (2) a model that determines the optimal allocation at the minimum reproductive number. The optimization models for the app were written in Python using the Pyomo package while the graphical user interface is written in JavaScript with the use of the React library. The optimization models are accessed through an API served using a Python web server utilizing the web framework Flask. A case study is used to illustrate how the models work in the web application.
format	article
author	John Frederick D. Tapia Joshua Manzano Ian Benedict Ona Unisse Chua
author_facet	John Frederick D. Tapia Joshua Manzano Ian Benedict Ona Unisse Chua
author_sort	John Frederick D. Tapia
title	Development of a Web-based Application for Optimal Allocation of COVID-19 Vaccine
title_short	Development of a Web-based Application for Optimal Allocation of COVID-19 Vaccine
title_full	Development of a Web-based Application for Optimal Allocation of COVID-19 Vaccine
title_fullStr	Development of a Web-based Application for Optimal Allocation of COVID-19 Vaccine
title_full_unstemmed	Development of a Web-based Application for Optimal Allocation of COVID-19 Vaccine
title_sort	development of a web-based application for optimal allocation of covid-19 vaccine
publisher	AIDIC Servizi S.r.l.
publishDate	2021
url	https://doaj.org/article/2410c0c8febe4e31a6c342da0be0487d
work_keys_str_mv	AT johnfrederickdtapia developmentofawebbasedapplicationforoptimalallocationofcovid19vaccine AT joshuamanzano developmentofawebbasedapplicationforoptimalallocationofcovid19vaccine AT ianbenedictona developmentofawebbasedapplicationforoptimalallocationofcovid19vaccine AT unissechua developmentofawebbasedapplicationforoptimalallocationofcovid19vaccine
_version_	1718426771101057024

Development of a Web-based Application for Optimal Allocation of COVID-19 Vaccine

Ejemplares similares