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Detecting COVID-19 Clusters at High Spatiotemporal Resolution, New York City, New York, USA, June-July 2020
- Source :
- Emerging Infectious Diseases. May, 2021, Vol. 27 Issue 5, p1500, 5 p.
- Publication Year :
- 2021
-
Abstract
- Spatiotemporal analysis of high-resolution coronavirus disease (COVID-19) data can help health officials monitor disease spread and target interventions (1,2). Publicly available data have been used to detect COVID-19 spatiotemporal clusters [...]
Details
- Language :
- English
- ISSN :
- 10806040
- Volume :
- 27
- Issue :
- 5
- Database :
- Gale General OneFile
- Journal :
- Emerging Infectious Diseases
- Publication Type :
- Academic Journal
- Accession number :
- edsgcl.663198629
- Full Text :
- https://doi.org/10.3201/eid2705.203583