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Applying prospective tree-temporal scan statistics to genomic surveillance data to detect emerging SARS-CoV-2 variants and salmonellosis clusters in New York City.

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Bibliographic Details
Title: Applying prospective tree-temporal scan statistics to genomic surveillance data to detect emerging SARS-CoV-2 variants and salmonellosis clusters in New York City.
Authors: Greene, Sharon K1 (AUTHOR), Latash, Julia1 (AUTHOR), Peterson, Eric R1 (AUTHOR), Levin-Rector, Alison1 (AUTHOR), Luoma, Elizabeth1 (AUTHOR), Wang, Jade C1 (AUTHOR), Bernard, Kevin1 (AUTHOR), Olsen, Aaron1 (AUTHOR), Li, Lan1 (AUTHOR), Waechter, HaeNa1 (AUTHOR), Mattias, Aria1 (AUTHOR), Rohrer, Rebecca1 (AUTHOR), Kulldorff, Martin2 (AUTHOR)
Source: International Journal of Epidemiology. Apr2025, Vol. 54 Issue 2, p1-11. 11p.
Database: Academic Search Ultimate
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Description
ISSN:03005771
DOI:10.1093/ije/dyaf032