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Article

Using Spatial Patterns of COVID-19 to Build a Framework for Economic Reactivation

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Facultad de Ingeniería, Universidad del Pacífico, Lima 150113, Peru
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Escuela de Ciencias Básicas, Tecnologías e Ingenierías, Universidad Nacional Abierta y a Distancia, Bogotá 110311, Colombia
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Environmental Engineering Department, Sao Paulo State University, Sao Jose dos Campos 12247-004, Brazil
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Graduate Program in Logistics Systems Engineering, Sao Paulo University, Sao Paulo 05508-060, Brazil
*
Author to whom correspondence should be addressed.
Academic Editor: Shervin Hashemi
Sustainability 2021, 13(18), 10092; https://doi.org/10.3390/su131810092
Received: 26 July 2021 / Revised: 2 September 2021 / Accepted: 3 September 2021 / Published: 9 September 2021
In this article, we propose an application of humanitarian logistics theory to build a supportive framework for economic reactivation and pandemic management based on province vulnerability against COVID-19. The main research question is which factors are related to COVID-19 mortality between Peruvian provinces? We conduct a spatial regression analysis to explore which factors determine the differences in COVID-19 cumulative mortality rates for 189 Peruvian provinces up to December 2020. The most vulnerable provinces are characterized by having low outcomes of long-run poverty and high population density. Low poverty means high economic activity, which leads to more deaths due to COVID-19. There is a lack of supply in the set of relief goods defined as Pandemic Response and Recovery Supportive Goods and Services (PRRSGS). These goods must be delivered in order to mitigate the risk associated with COVID-19. A supportive framework for economic reactivation can be built based on regression results and a delivery strategy can be discussed according to the spatial patterns that we found for mortality rates. View Full-Text
Keywords: humanitarian logistics; pandemic; economic reactivation; spatial modelling humanitarian logistics; pandemic; economic reactivation; spatial modelling
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MDPI and ACS Style

Quiliche, R.; Rentería-Ramos, R.; de Brito Junior, I.; Luna, A.; Chong, M. Using Spatial Patterns of COVID-19 to Build a Framework for Economic Reactivation. Sustainability 2021, 13, 10092. https://doi.org/10.3390/su131810092

AMA Style

Quiliche R, Rentería-Ramos R, de Brito Junior I, Luna A, Chong M. Using Spatial Patterns of COVID-19 to Build a Framework for Economic Reactivation. Sustainability. 2021; 13(18):10092. https://doi.org/10.3390/su131810092

Chicago/Turabian Style

Quiliche, Renato, Rafael Rentería-Ramos, Irineu de Brito Junior, Ana Luna, and Mario Chong. 2021. "Using Spatial Patterns of COVID-19 to Build a Framework for Economic Reactivation" Sustainability 13, no. 18: 10092. https://doi.org/10.3390/su131810092

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