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The spatial behavior of humans, plants, and animals as well as changing geographical and ecological environments play a role in the spread of diseases. In light of the COVID-19 pandemic, recent scientific efforts focus on the development of real time monitoring and response systems, modeling and simulation to predict disease outcomes under existing or hypothetical scenarios, and the analysis of spatiotemporal data to describe or explain behaviors that affect disease trajectories. In general, these efforts seek to generate or leverage spatiotemporal data to improve our understanding, prediction, and response to infectious disease outbreaks.
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A clustering environment for real-time tracking and analysis of Covid-19 case clusters
Spatial surveillance systems can be an effective and efficient way to provide early spatio-temporal warning signals of infectious diseases outbreaks. The development of spatial surveillance systems that can handle near-real time hospital spatial data ...
Mobility Response to COVID-19-related Restrictions in New York City
The first case of the 2019 novel coronavirus was detected in the United States in January 2020, and since then, efforts to contain the virus, such as stay-at-home policies, have greatly restricted human mobility. While stay-at-home policies and concern ...
Correlation Analysis of Spatio-temporal Arabic COVID-19 Tweets
Since the recent COVID-19 outbreak, several researchers have begun to focus on various difficulties to data mining of social data to study people's reactions to the outbreak. Recent approaches have mostly concentrated on the analysis of social data in ...
Cited By
- Züfle A, Gao S and Anderson T (2022). Introduction to the Special Issue on Understanding the Spread of COVID-19, Part 2, ACM Transactions on Spatial Algorithms and Systems, 8:4, (1-5), Online publication date: 31-Dec-2022.
- Züfle A, Anderson T and Gao S (2022). Introduction to the Special Issue on Understanding the Spread of COVID-19, Part 1, ACM Transactions on Spatial Algorithms and Systems, 8:3, (1-5), Online publication date: 30-Sep-2022.
Index Terms
- Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Spatial Computing for Epidemiology
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