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Detecting Emerging COVID-19 Community Outbreaks at High Spatiotemporal Resolution - New York City, June 2020
Preprint
in English
| medRxiv
| ID: ppmedrxiv-20156901
ABSTRACT
New York Citys Health Department developed a SARS-CoV-2 percent test positivity cluster detection system using census tract resolution and the SaTScan prospective space-time scan statistic. One cluster led to identifying a gathering with inadequate social distancing where viral transmission likely occurred, and another cluster prompted targeted community testing and outreach.
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Full text:
Available
Collection:
Preprints
Database:
medRxiv
Type of study:
Observational study
/
Prognostic study
Language:
English
Year:
2020
Document type:
Preprint
