457 citations · 561 across the 8 of their papers we have counts for
9 papers
Characterizing collective physical distancing in the U.S. during the first nine months of the COVID-19 pandemic
Brennan Klein, Timothy LaRock, Stefan McCabe +13
The COVID-19 pandemic offers an unprecedented natural experiment providing insights into the emergence of collective behavioral changes of both exogenous (government mandated) and…
TCube: Domain-Agnostic Neural Time-series Narration
Mandar Sharma, John S. Brownstein, Naren Ramakrishnan
The task of generating rich and fluent narratives that aptly describe the characteristics, trends, and anomalies of time-series data is invaluable to the sciences (geology, meteoro…
Demographics in Social Media Data for Public Health Research: Does it matter?
Nina Cesare, Christan Grant, Jared B. Hawkins +2
Social media data provides propitious opportunities for public health research. However, studies suggest that disparities may exist in the representation of certain populations (e.…
Guided Deep List: Automating the Generation of Epidemiological Line Lists from Open Sources
Saurav Ghosh, Prithwish Chakraborty, Bryan L. Lewis +5
Real-time monitoring and responses to emerging public health threats rely on the availability of timely surveillance data. During the early stages of an epidemic, the ready availab…
Advances in using Internet searches to track dengue
Shihao Yang, S. C. Kou, Fred Lu +3
Dengue is a mosquito-borne disease that threatens more than half of the world's population. Despite being endemic to over 100 countries, government-led efforts and mechanisms to ti…
Temporal Topic Modeling to Assess Associations between News Trends and Infectious Disease Outbreaks
Saurav Ghosh, Prithwish Chakraborty, Elaine O. Nsoesie +4
In retrospective assessments, internet news reports have been shown to capture early reports of unknown infectious disease transmission prior to official laboratory confirmation. I…