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dc.contributorTorres, Cesar
dc.contributorCross-Border Threat Screening and Supply Chain Defense (CBTS)
dc.contributorTexas A & M University. Department of Civil Engineering
dc.contributorTexas A & M University. College of Engineering
dc.coverage.spatialUnited Statesen
dc.coverage.spatialMexicoen
dc.creatorMedina-Cetina, Zenon
dc.creatorPompelli, Gregory
dc.creatorCochran, Matt
dc.creatorAlvarado, Juan Pablo
dc.creatorDuran Sierra, Guillermo
dc.creatorZarate-Losoya, Enrique
dc.creatorAllen, Alexi
dc.date.accessioned2021-11-16T20:09:48Z
dc.date.available2021-11-16T20:09:48Z
dc.date.issued21-Feb
dc.identifier.citationMedina-Cetina, Z., Pompelli, G., Cochran, M., Alvarado, J., Duran, G., Zarate-Losoya, E. & Allen, A. (2021, February). R7- Internal Report on Risk Assessment & Management Model Development V0.0. https://doi.org/10.21423/sgl.cbts-202102en
dc.identifier.otherRM012021
dc.identifier.urihttps://hdl.handle.net/1969.1/194946
dc.description.abstractInternal 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.en
dc.description.sponsorshipDHS Award Number 18STCBT00001-04-00 and CFDA Number 97.061en
dc.format113 pages
dc.language.isoeng
dc.publisherStochastic Geomechanics Laboratory
dc.rightsIn Copyrighten
dc.rights.urihttps://rightsstatements.org/page/InC/1.0/?language=en
dc.subjectSupply Chain Networken
dc.subjectModel documentation reporten
dc.subjectBayesian Networksen
dc.subject.lcshCOVID-19 (Disease)--Economic aspectsen
dc.subject.lcshBusiness logisticsen
dc.subject.lcshUnited Statesen
dc.subject.lcshMexicoen
dc.subject.lcshInternational economic relationsen
dc.subject.lcshPublic healthen
dc.subject.lcshRisk assessment--Mathematical modelsen
dc.subject.lcshRisk management--Mathematical modelsen
dc.titleR7 - Internal Report on Bayesian Risk Assessment & Management Model Development V0.0en
dc.title.alternativeR7 - Internal Report on Risk Assessment & Management Model Development V0.0en
dc.typeTechnical reporten
dc.contributor.sponsorUnited States Department of Homeland Security (DHS)
dc.type.materialTexten
dc.format.digitalOriginborn digitalen
local.departmentCivil Engineeringen
dc.identifier.doihttps://doi.org/10.21423/sgl.cbts-202102


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