Publications (2020-2021)
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Browsing Publications (2020-2021) by Author "Allen, Alexi"
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Item Actionable Information - Research Briefs - 2 - U.S. and Mexico COVID-19 Dashboards(Stochastic Geomechanics Laboratory, 2021-04-30) Alvarado, Juan Pablo; Allen, Alexi; Medina-Cetina, Zenon; Pompelli, Gregory; Cochran, Matt; Zarate-Losoya, Enrique; United States Department of Homeland Security (DHS)States in the U.S. have produced COVID-19 dashboards to communicate the status of the pandemic to the population. This research brief presents a summary of the available dashboards for the U.S. and Mexico states. Additionally a map of the U.S. is presented with the total number of variables that are reported in the state dashboard(s).Item Actionable Information - Research Briefs - 3 - Analysis on U.S. States COVID-19 Dashboards(Stochastic Geomechanics Laboratory, 2021-05-01) Alvarado, Juan Pablo; Allen, Alexi; Medina-Cetina, Zenon; Pompelli, Gregory; Cochran, Matt; Zarate-Losoya, Enrique; United States Department of Homeland Security (DHS)Covid-19 dashboards developed by state authorities in the U.S. present different variables to communicate the status and evolution of the pandemic in their territories. This research brief summarizes the different platforms used to develop the dashboards. Also, the brief includes an analysis on the dashboard contents in terms of total number of variables, type of variables, number of variables per risk component (i.e. Threats, Vulnerable Systems, Impacts, States of Risk, Mitigating Strategies). Finally, the number of variables per risk component are compared to COVID-19 metrics such as daily cases, and daily deaths (per 100K population) in order to identify how the risk communication in the dashboards impact the management of the pandemic.Item Actionable Information - Research Briefs - 4 - Literature Review on the Impact of Natural Threats on Supply Chains(Stochastic Geomechanics Laboratory, 2021-05-11) Allen, Alexi; Medina-Cetina, Zenon; Pompelli, Gregory; Cochran, Matt; Alvarado, Juan Pablo; Zarate-Losoya, Enrique; United States Department of Homeland Security (DHS)A literature review was conducted in order to identify the most impactful effects of natural hazards on the operation of supply chains. The review considered the body of research produced about this topic including the distribution of scientific documents produced by year, and the number of mentions of different natural threats in them.Item Actionable Information - Research Briefs - 5 - Summary and Assessment of Weather Information Services(Stochastic Geomechanics Laboratory, 2021-05-11) Allen, Alexi; Medina-Cetina, Zenon; Pompelli, Gregory; Cochran, Matt; Alvarado, Juan Pablo; Zarate-Losoya, Enrique; United States Department of Homeland Security (DHS)This research brief includes a summary of various weather information services, detailing the procedures followed to obtain and generate data, and a breakdown of the information provided. Based on this information, the services were qualitatively assessed to determine the most fitting one (s) in the production of risk analytics for supply chains impacted by natural ThreatsItem Model Development for Bayesian Risk Assessment and Management of Supply Chains Impacted by COVID-19 and Other Converging Threats(Stochastic Geomechanics Laboratory, 2021-05-21) Alvarado, Juan Pablo; Duran Sierra, Guillermo; Medina-Cetina, Zenon; Pompelli, Gregory; Cochran, Matt; Zarate-Losoya, Enrique; Allen, Alexi; Guzman, Audrey; Lopez-Acosta, Araceli; United States Department of Homeland Security (DHS)COVID-19 has generated disruptions on supply chains across the world with impacts reflected in shortage, or delay of supplies, accompanied by strong shifts of demand for several economic sectors. Under such a disruption, the challenge is to address the social, environmental, and economic impacts on U.S. Supply Chain infrastructure, and identify critical nodes and processes in order to protect and restore the supply chains for an uninterrupted flow of supplies and materials critical to Homeland Security.Item Model Development for Bayesian Risk Assessment and Management of Supply Chains Impacted by COVID-19 and Other Converging Threats - Presentation Recording(Stochastic Geomechanics Laboratory, 2021-05-21) Alvarado, Juan Pablo; Duran Sierra, Guillermo; Medina-Cetina, Zenon; Pompelli, Gregory; Cochran, Matt; Zarate-Losoya, Enrique; Allen, Alexi; Guzman, Audrey; Lopez-Acosta, Araceli; United States Department of Homeland Security (DHS)COVID-19 has generated disruptions on supply chains across the world with impacts reflected in shortage, or delay of supplies, accompanied by strong shifts of demand for several economic sectors. Under such a disruption, the challenge is to address the social, environmental, and economic impacts on U.S. Supply Chain infrastructure, and identify critical nodes and processes in order to protect and restore the supply chains for an uninterrupted flow of supplies and materials critical to Homeland Security.Item R7 - Internal Report on Bayesian Risk Assessment & Management Model Development V0.0(Stochastic Geomechanics Laboratory, 21-Feb) Medina-Cetina, Zenon; Pompelli, Gregory; Cochran, Matt; Alvarado, Juan Pablo; Duran Sierra, Guillermo; Zarate-Losoya, Enrique; Allen, Alexi; United States Department of Homeland Security (DHS)Internal report on the development steps for a Risk Assessment and Management model using Bayesian Networks. The objectives of the model include: mapping qualitatively participating processes needed to simulate prognosis and diagnosis scenarios of social, economic and environmental impacts posed by COVID19 on the U.S. trade supply chain infrastructure. To address the public health impacts of the COVID-19 pandemic on the U.S.- Mexico health supply chain systems for health infrastructure and for the health of the workforce, considering current and emerging regional social, economic and environmental Risks. To generate risk-mitigating strategies based on resiliency and sustainability supported by evidence collection and the associate risk assessment model, to address causes and effects posed by COVID19 on the U.S. trade supply chain infrastructure, U.S.- Mexico health supply chain systems for health infrastructure, and for health of the workforce between U.S. - Mexico.Item Website of R7 - Model Development for Risks posed by COVID-19 on U.S. Trade Supply Chain Infrastructure(Stochastic Geomechanics Laboratory, 2021-09-01) Medina-Cetina, Zenon; Pompelli, Gregory; Cochran, Matt; Zarate-Losoya, Enrique; Allen, Alexi; Guzman, Audrey; Lopez-Acosta, Araceli; Alvarado, Juan Pablo; Duran Sierra, Guillermo; United States Department of Homeland Security (DHS)Home page screen capture of the website dedicated to the R7 project: Model Development for Risks posed by COVID-19 on U.S. Trade Supply Chain Infrastructure. The milestones of the project are: 1. To generate a risk-guided platform to provide access to datasets, predictive models and experts opinions, to produce evidence-based support on the causes and effects posed by COVID19 on the U.S. trade supply chain infrastructure. 2. To formulate a comprehensive risk assessment model, mapping qualitatively participating processes needed to simulate prognosis and diagnosis scenarios of social, economic and environmental impacts posed by COVID19 on the U.S. trade supply chain infrastructure. 3. To generate risk-mitigating strategies based on resiliency and sustainability supported by evidence collection and the associate risk assessment model, to address causes and effects posed by COVID19 on the U.S. trade supply chain infrastructure.