A comparison of prospective space-time scan statistics and spatiotemporal event sequence based clustering for COVID-19 surveillance

Fuyu Xu; Kate Beard

doi:10.1371/journal.pone.0252990

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Open Access

Peer-reviewed

Research Article

A comparison of prospective space-time scan statistics and spatiotemporal event sequence based clustering for COVID-19 surveillance

Fuyu Xu,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

Affiliation School of Computing and Information Science, University of Maine, Orono, ME, United States of America
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Kate Beard

Roles Conceptualization, Formal analysis, Investigation, Software, Supervision, Validation, Writing – review & editing

* E-mail: kate.beard@maine.edu

Affiliation School of Computing and Information Science, University of Maine, Orono, ME, United States of America

https://orcid.org/0000-0002-7703-0270

⨯

A comparison of prospective space-time scan statistics and spatiotemporal event sequence based clustering for COVID-19 surveillance

Fuyu Xu,
Kate Beard

Published: June 10, 2021
https://doi.org/10.1371/journal.pone.0252990

About the Authors

Fuyu Xu

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

Affiliation School of Computing and Information Science, University of Maine, Orono, ME, United States of America

Kate Beard

Roles Conceptualization, Formal analysis, Investigation, Software, Supervision, Validation, Writing – review & editing

* E-mail: kate.beard@maine.edu

Affiliation School of Computing and Information Science, University of Maine, Orono, ME, United States of America

https://orcid.org/0000-0002-7703-0270

Competing Interests

The authors have declared that no competing interests exist.

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COVID 19
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Epidemiological statistics
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Hierarchical clustering
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Medical risk factors
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Pandemics
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