Optimization model for planning the logistical response to COVID-19 vaccination

• Autores: Cobos Valdéz, Hugo Fabrizzio, Arellano Alcaide, Migue Angel
• Formato: tesis de grado
• Fecha de Publicación: 2024
• Institución: Universidad de Lima
• Repositorio: ULIMA-Institucional
• Lenguaje: inglés
• OAI Identifier: oai:repositorio.ulima.edu.pe:20.500.12724/21272
• Enlace del recurso: https://hdl.handle.net/20.500.12724/21272
• Nivel de acceso: acceso abierto
• Materia: Vacunas; Hospitales móviles; COVID-19; Sistemas de información geográfica; https://purl.org/pe-repo/ocde/ford#2.11.04

The health crisis that our country is going through is very difficult to manage and vaccination is of utmost importance to counteract it; however, the logistical process of purchasing and distributing vaccines is very complex. Objective: Therefore, the present research article aims to design a predictive model that influences the logistic response planning for COVID 19 vaccination in the district of San Juan de Lurigancho. Methods: This can be achieved using geographic information systems technology and the implementation of mobile vaccination centers. Results: The results obtained showed the lack of vaccination sites in the district and how this measure generates a great benefit in the most vulnerable population of the study district. In addition, it is positive the results obtained compared to the results of other articles. Conclusions: It is confirmed that the logistic process of vaccination can be improved from the implementation of mobile vaccination centers.