The 2nd ACM SIGSPATIAL International Workshop on Spatial Computing for Epidemiology (SpatialEpi’21) focuses on all aspects of modeling, simulating, mining, and understanding the spatial processes and patterns of the spread of COVID-19 and other infectious diseases. This cross-disciplinary workshop is a forum to bring together researchers in the SIGSPATIAL community as well as researchers in epidemiology. Also, this workshop is of interest to everyone who works with infectious disease data and models (not necessarily COVID19). In addition to paper presentations, this workshop will feature invited speakers keynotes from experts across the SIGSPATIAL community and epidemiology.
|Andreas Züfle (George Mason University)|
|Taylor Anderson (George Mason University)||Hamdi Kavak (George Mason University)|
|Joon-Seok Kim (Pacific Northwest National Laboratory)||Jia Yu (Washington State University)|
|Amira Roess (George Mason University)|
|To be announced|
Dr. Roess is a professor of Global Health and Epidemiology at George Mason University's College of Health and Human Services. Her expertise is in infectious diseases epidemiology, multi-disciplinary and multi-species field research and evaluating interventions to reduce the transmission and impact of infectious diseases. Dr. Roess leads several longitudinal studies including on the emergence and transmission of Campylobacter (with support from The Bill and Melinda Gates Foundation), MERS-CoV (with support from the US National Science Foundation), development of COVID-19 in the first year of life (with support from NIH), and the development of the microbiome during the first year of life. She is also working on a number of other COVID-19 projects, including examining infection disparities and use of mHealth (especially apps) to enhance surveillance and contact tracing. Dr. Roess holds a PhD in global disease epidemiology and control from Johns Hopkins University. Her current studies are in the US, Bangladesh, Egypt, and Ethiopia. Prior to joining academia, Dr. Roess served as the Science Director for the Pew Commission on Industrial Food Animal Production at Johns Hopkins, and was an Epidemic Intelligence Service (EIS) officer at the CDC. She has served as consultant for the United States Agency for International Development, the World Bank, and Westat Inc. She has a master degree from the UMDNJ/ Rutgers University School of Public Health.
(1) You must sign in your Zoom account in order to join this meeting. If you use your institution's Zoom account, you might need to choose the "SSO" option when log in.
(2) You will first be put in a waiting room. The organizers then will verify your identity and admit you into the meeting.
(3) To be admitted into the meeting, your Zoom name must be a full name such as Tom Smith (preferably with an affiliation).
|US Eastern Time||Beijing Time||Title||Paper|
|11-02 09:00||11-02 21:00||Openning remarks
|11-02 09:05||11-02 21:05||Keynote
|11-02 10:05||11-02 22:05||Correlation Analysis of Spatio-temporal Arabic COVID-19 Tweets
|11-02 10:20||11-02 22:20||Mobility Response to COVID-19-related Restrictions in New York City
|11-02 10:35||11-02 22:35||Developing a clustering environment for real time tracking and analysis of Covid-19 case clusters
|11-02 10:55||11-02 22:55||Closing Remarks
Online. Beijing, China
Call For Papers (PDF version)
The workshop seeks high-quality full (8-10 pages) and short (4 pages) papers that have not been published in other academic outlets and are not concurrently under peer review. Once accepted, at least one author is required to register for the workshop and the ACM SIGSPATIAL conference, as well as attend the workshop to present the accepted work which will then appear in the ACM Digital Library.
|Contact Tracing||COVID-19 Tracking and Data Collection|
|COVID-19 Data Cleaning and Wrangling||Disease Spread Simulation|
|COVID-19 Data Mining||Managing Uncertainty in COVID-19 Data|
|COVID-19 Data Query Processing||Mapping and Visual Analytics of COVID-19|
|COVID-19 Effects on Human Mobility||Prescriptive Analytics for COVID-19|
|COVID-19 Hotspot Detection||Socioeconomic Impact of COVID-19|
|COVID-19 Simulation and Modeling||Spatial Analysis of COVID-19|
|COVID-19 and Social Media||Spatially Explicit COVID-19 Prediction Models|
September 15, 2021 (anywhere on earth) (extended)
October 15, 2021 (anywhere on earth)
To be announced
November 02, 2021 (anywhere on earth)