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.creator | Alvarado, Juan Pablo | |
dc.creator | Allen, Alexi | |
dc.creator | Medina-Cetina, Zenon | |
dc.creator | Pompelli, Gregory | |
dc.creator | Cochran, Matt | |
dc.creator | Zarate-Losoya, Enrique | |
dc.date.accessioned | 2021-11-16T20:03:30Z | |
dc.date.available | 2021-11-16T20:03:30Z | |
dc.date.issued | 2021-05-01 | |
dc.identifier.citation | Alvarado, J., Allen, A., Medina-Cetina, Z., Pompelli, G., Cochran, M. & Zarate-Losoya, E. (2021). Actionable Information - Research Briefs - 3 - Analysis on U.S. States COVID-19 dashboards. https://doi.org/10.21423/sgl.airb3-20210501 | en |
dc.identifier.uri | https://hdl.handle.net/1969.1/194914 | |
dc.description | Includes both static PDF version and the dynamic web version. | en |
dc.description.abstract | 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. | en |
dc.description.sponsorship | DHS Award Number 18STCBT00001-04-00 and CFDA Number 97.061 | en |
dc.format | 13 pages | |
dc.language.iso | eng | |
dc.publisher | Stochastic Geomechanics Laboratory | |
dc.rights | CC BY-NC-ND 4.0 (Attribution-NonCommercial-NoDerivatives 4.0 International) | en |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.subject.lcsh | COVID-19 (Disease) | en |
dc.subject.lcsh | Dashboards (Management information systems)--United States | en |
dc.subject.lcsh | Risk communication | en |
dc.subject.lcsh | United States | en |
dc.title | Actionable Information - Research Briefs - 3 - Analysis on U.S. States COVID-19 Dashboards | en |
dc.type | Technical report | en |
dc.contributor.sponsor | United States Department of Homeland Security (DHS) | |
dc.type.material | Text | en |
dc.format.digitalOrigin | born digital | en |
local.department | Civil Engineering | en |
dc.identifier.doi | https://doi.org/10.21423/sgl.airb3-20210501 | |