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Titolo: | Proceedings of the 2nd ACM SIGSPATIAL international workshop on spatial computing for epidemiology (SpatialEpi 2021) / / Taylor Anderson [and five others], editors |
Pubblicazione: | New York, New York : , : Association for Computing Machinery, , 2021 |
Descrizione fisica: | 1 online resource (23 pages) |
Disciplina: | 004 |
Soggetto topico: | Computer science |
Persona (resp. second.): | AndersonTaylor |
Sommario/riassunto: | 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. |
Altri titoli varianti: | Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Spatial Computing for Epidemiology |
Titolo autorizzato: | Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Spatial Computing for Epidemiology (SpatialEpi 2021) |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910510417803321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |