Work

Predicting COVID-19 Spread from Large-Scale Mobility Data

Year: 2021

Type: conference-paper

Source: ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

DOI: 10.1145/3447548.3467157

Authors: Amray Schwabe, Joel Persson, Stefan Feuerriegel

Institution: ETH Zurich

Language: English

Topic: COVID-19 epidemiological studies

Subfield: Modeling and Simulation

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: Hasler Stiftung

OpenAlex ID: W3168624044

FWCI: 9.083

Cites: 39

Cited by: 29

Related to: 10