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.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 | Sanchez-Siordia, Oscar | |
dc.creator | Rojas-Solis, Minerva | |
dc.creator | Perez-Patron, Maria Jose | |
dc.creator | Duran Sierra, Guillermo | |
dc.creator | Alvarado, Juan Pablo | |
dc.creator | Zarate-Losoya, Enrique | |
dc.creator | Lopez-Acosta, Araceli | |
dc.date.accessioned | 2021-11-16T20:06:53Z | |
dc.date.available | 2021-11-16T20:06:53Z | |
dc.date.issued | 2021-09-01 | |
dc.identifier.citation | Medina Cetina, Z., Pompelli, Gregory., Cochran, Matt., Olivares, Miriam., Perez-Patron, Maria J., Sanchez-Siordia, Oscar., Rojas-Solis, Minerva., Duran, Guillermo., Alvarado, Juan Pablo., Zarate-Losoya., Enrique., & Lopez-Acosta, Araceli (2021). R13-CBTS-SGL U.S. Dashboard Website. https://doi.org/10.21423/sgl.cbtsusdashboard-20210901 | en |
dc.identifier.uri | https://hdl.handle.net/1969.1/194936 | |
dc.description | Image of the website as it appeared on September 1, 2021 | en |
dc.description.abstract | Home page screen capture of the U.S. Dashboard developed to fulfill the objectives of the R13 project: U.S.-Mexico Risk Taskforce to Support the Health Supply Chain Systems for Infrastructure and Workforce Threatened by the COVID-19 Pandemic. The dashboard supports the following objective: To develop a data-lake platform concentrating near real-time analytics following a Risk systems approach that can provide strategic information about the evolution of COVID-19 and related current and emerging threats, the state of vulnerability of the health supply chain systems, and the likely impacts a combination of these may cause to society, the economy and the environment. | en |
dc.description.sponsorship | DHS Award Number 18STCBT00001-04-00 and CFDA Number 97.061 | en |
dc.format | 1 page | |
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.lcsh | COVID-19 (Disease)--Economic aspects | en |
dc.subject.lcsh | United States | en |
dc.subject.lcsh | Mexico | en |
dc.subject.lcsh | International economic relations | en |
dc.subject.lcsh | Business logistics | en |
dc.subject.lcsh | Risk assessment--Mathematical models | en |
dc.subject.lcsh | Web sites | en |
dc.subject.lcsh | Dashboards (Management information systems) | en |
dc.title | R13-CBTS-SGL U.S. Dashboard Website | en |
dc.title.alternative | CBTS SGL U.S. Dashboard Website | en |
dc.type | Image | en |
dc.type | Website screen capture | en |
dc.contributor.sponsor | United States Department of Homeland Security (DHS) | |
dc.type.material | Text | en |
dc.type.material | StillImage | en |
dc.format.digitalOrigin | born digital | en |
local.department | Civil Engineering | en |
dc.identifier.doi | https://doi.org/10.21423/sgl.cbtsusdashboard-20210901 | |