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Proceedings of the 2nd ACM SIGSPATIAL international workshop on spatial computing for epidemiology (SpatialEpi 2021) / Taylor Anderson [and five others], editors.

ACM Digital Library Available online

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Format:
Book
Contributor:
Anderson, Taylor, editor.
Series:
ACM Conferences
Language:
English
Subjects (All):
Computer science--Congresses.
Computer science.
Physical Description:
1 online resource (23 pages)
Other Title:
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Spatial Computing for Epidemiology
Place of Publication:
New York, New York : Association for Computing Machinery, 2021.
Summary:
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.
Notes:
Description based on publisher supplied metadata and other source.

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