TY - JOUR
T1 - A Multiscale Geospatial Dataset and an Interactive Visualization Dashboard for Computational Epidemiology and Open Scientific Research
AU - Usman, Muhammad
AU - Zhou, Honglu
AU - Moon, Seonghyeon
AU - Zhang, Xun
AU - Faloutsos, Petros
AU - Kapadia, Mubbasir
N1 - Publisher Copyright:
© 1981-2012 IEEE.
PY - 2023/1/1
Y1 - 2023/1/1
N2 - The coronavirus disease (COVID-19) continued to strike as a highly infectious and fast-spreading disease in 2020 and 2021. As the research community actively responded to this pandemic, we saw the release of many COVID-19-related datasets and visualization dashboards. However, existing resources are insufficient to support multiscale and multifaceted modeling or simulation, which is suggested to be important by the computational epidemiology literature. This work presents a curated multiscale geospatial dataset with an interactive visualization dashboard under the context of COVID-19. This open dataset will allow researchers to conduct numerous projects or analyses relating to COVID-19 or simply geospatial-related scientific studies. The interactive visualization platform enables users to visualize the spread of the disease at different scales (e.g., country level to individual neighborhoods), and allows users to interact with the policies enforced at these scales (e.g., the closure of borders and lockdowns) to observe their impacts on the epidemiology.
AB - The coronavirus disease (COVID-19) continued to strike as a highly infectious and fast-spreading disease in 2020 and 2021. As the research community actively responded to this pandemic, we saw the release of many COVID-19-related datasets and visualization dashboards. However, existing resources are insufficient to support multiscale and multifaceted modeling or simulation, which is suggested to be important by the computational epidemiology literature. This work presents a curated multiscale geospatial dataset with an interactive visualization dashboard under the context of COVID-19. This open dataset will allow researchers to conduct numerous projects or analyses relating to COVID-19 or simply geospatial-related scientific studies. The interactive visualization platform enables users to visualize the spread of the disease at different scales (e.g., country level to individual neighborhoods), and allows users to interact with the policies enforced at these scales (e.g., the closure of borders and lockdowns) to observe their impacts on the epidemiology.
UR - http://www.scopus.com/inward/record.url?scp=85146243372&partnerID=8YFLogxK
U2 - 10.1109/MCG.2022.3230444
DO - 10.1109/MCG.2022.3230444
M3 - Article
AN - SCOPUS:85146243372
SN - 0272-1716
VL - 43
SP - 39
EP - 52
JO - IEEE Computer Graphics and Applications
JF - IEEE Computer Graphics and Applications
IS - 1
ER -