R7 - Internal Report on Bayesian Risk Assessment & Management Model Development V0.0
dc.contributor | Torres, Cesar | |
dc.contributor | Cross-Border Threat Screening and Supply Chain Defense (CBTS) | |
dc.contributor | Texas A & M University. Department of Civil Engineering | |
dc.contributor | Texas A & M University. College of Engineering | |
dc.contributor.sponsor | United States Department of Homeland Security (DHS) | |
dc.coverage.spatial | United States | en |
dc.coverage.spatial | Mexico | en |
dc.creator | Medina-Cetina, Zenon | |
dc.creator | Pompelli, Gregory | |
dc.creator | Cochran, Matt | |
dc.creator | Alvarado, Juan Pablo | |
dc.creator | Duran Sierra, Guillermo | |
dc.creator | Zarate-Losoya, Enrique | |
dc.creator | Allen, Alexi | |
dc.date.accessioned | 2021-11-16T20:09:48Z | |
dc.date.available | 2021-11-16T20:09:48Z | |
dc.date.issued | 21-Feb | |
dc.description.abstract | 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. | en |
dc.description.sponsorship | DHS Award Number 18STCBT00001-04-00 and CFDA Number 97.061 | en |
dc.format | 113 pages | |
dc.format.digitalOrigin | born digital | en |
dc.identifier.citation | Medina-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-202102 | en |
dc.identifier.doi | https://doi.org/10.21423/sgl.cbts-202102 | |
dc.identifier.other | RM012021 | |
dc.identifier.uri | https://hdl.handle.net/1969.1/194946 | |
dc.language.iso | eng | |
dc.publisher | Stochastic Geomechanics Laboratory | |
dc.rights | In Copyright | en |
dc.rights.uri | https://rightsstatements.org/page/InC/1.0/?language=en | |
dc.subject | Supply Chain Network | en |
dc.subject | Model documentation report | en |
dc.subject | Bayesian Networks | en |
dc.subject.lcsh | COVID-19 (Disease)--Economic aspects | en |
dc.subject.lcsh | Business logistics | en |
dc.subject.lcsh | United States | en |
dc.subject.lcsh | Mexico | en |
dc.subject.lcsh | International economic relations | en |
dc.subject.lcsh | Public health | en |
dc.subject.lcsh | Risk assessment--Mathematical models | en |
dc.subject.lcsh | Risk management--Mathematical models | en |
dc.title | R7 - Internal Report on Bayesian Risk Assessment & Management Model Development V0.0 | en |
dc.title.alternative | R7 - Internal Report on Risk Assessment & Management Model Development V0.0 | en |
dc.type | Technical report | en |
dc.type.material | Text | en |
local.department | Civil Engineering | en |
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