How our collective efforts of fighting COVID-19 are reflected on maps?
UofSC Big Data Health Science Center investigators receive $1.25 million NIH grant to develop data-driven strategies in fighting COVID-19
Xiaoming Li (Department of Health Promotion, Education, and Behavior, Arnold School of Public Health) and Bankole Olatosi (Department of Health Services Policy and Management, Arnold School of Public Health), in collaboration with BDHSC faculty members from the Arnold School of Public Health (Jiajia Zhang), College of Arts and Sciences (Zhenlong Li), College of Engineering and Computing (Neset Hikmet and Jianjun Hu), and School of Medicine-Columbia (Sharon Weissman), have been awarded a $1,252,550 grant from the National Institute of Allergy and Infectious Diseases to develop a state-wide data-driven system to fight COVID-19 in South Carolina.
In the news: Twitter could help predict future outbreaks thanks to UofSC research
The places people tweet could help predict a future pandemic thanks to the work of three University of South Carolina professors.
Zhenlong Li, a geography professor in the College of Arts and Sciences, and two Arnold School of Public Health professors, Dwyane Porter and Xiaoming Li, are studying the spread of the COVID-19 outbreak along with Twitter data that shows human movement patterns. They hope to develop a model that improves understanding about the current outbreak and could help fight future pandemics. In May, the National Science Foundation boosted their work with a $108,717 grant….
We receive NSF Award to conduct COVID-19 research
Dr. Zhenlong Li, in collaboration with two of his public health colleagues, Dr. Dwayne Porter and Dr. Xiaoming Li, received an NSF award titled “Monitoring the Spatial Spread of COVID-19 through the Lens of Human Movement using Big Social Media Data“.
This project aims to provide enhanced situation awareness and offer valuable contributions to building collective public awareness of the role people play in the evolution of the COVID-19 pandemic.
Some preliminary findings can be found here: https://lnkd.in/ebr-rab
A perspective paper: Taking the pulse of COVID-19 — A spatiotemporal perspective
Abstract: The sudden outbreak of the Coronavirus disease (COVID-19) swept across the world in early 2020, triggering the lockdowns of several billion people across many countries, including China, Spain, India, the U.K., Italy, France, Germany, and most states of the U.S. The transmission of the virus accelerated rapidly with the most confirmed cases in the U.S., and New York City became an epicenter of the pandemic by the end of March. In response to this national and global emergency, the NSF Spatiotemporal Innovation Center brought together a taskforce of international researchers and assembled implemented strategies to rapidly respond to this crisis, for supporting research, saving lives, and protecting the health of global citizens. This perspective paper presents our collective view on the global health emergency and our effort in collecting, analyzing, and sharing relevant data on global policy and government responses, geospatial indicators of the outbreak and evolving forecasts; in developing research capabilities and mitigation measures with global scientists, promoting collaborative research on outbreak dynamics, and reflecting on the dynamic responses from human societies.
We also invite the submission of latest research on COVID-19 with a spatiotemporal dimension to the PLOS One special issue. Topics include but are not limited to the themes introduced in our COVID-19 spatiotemporal perspective paper.
Dr. Zhenlong Li, teamed with public health colleagues Drs. Xiaoming Li and Bankole Olatosi, receives funds from the USC Office of the Vice President for Research COVID-19 Internal Funding Initiative to conduct preliminary study of a big data approach for better understanding the spatial propagation of the novel coronavirus.