Document Type
Article
Journal Title
PLoS Biology
Publication Date
2020
Volume
18
Abstract
Genomic epidemiology can provide a unique, real-time understanding of SARS-CoV-2 transmission patterns. Yet the potential for genomic analyses to guide local policy and community-based behavioral decisions is limited because they are often oriented towards specially trained scientists and conducted on a national or global scale. Here, we propose a new paradigm: Phylogenetic analyses performed on a local level (municipal, county, or state), with results communicated in a clear, timely, and actionable manner to strengthen public health responses. We believe that presenting results rapidly, and tailored to a non-expert audience, can serve as a template for effective public health response to COVID-19 and other emerging viral diseases.
DOI Link
ISSN
1545-7885
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Kalinich, Chaney C.; Jensen, Cole G.; Neugebauer, Peter; Petrone, Mary E.; Peña-Hernández, Mario; Ott, Isabel M.; Wyllie, Anne L.; Alpert, Tara; Vogels, Chantal B. F.; Fauver, Joseph R.; Grubaugh, Nathan D.; and Brito, Anderson F., "Real-Time Public Health Communication of Local SARS-CoV-2 Genomic Epidemiology" (2020). Journal Articles: Epidemiology. 72.
https://digitalcommons.unmc.edu/coph_epidem_articles/72