Daily surveillance of COVID-19 using the prospective space-time scan statistic in the United States

•Prospective space-time statistics are particularly useful for COVID-19 surveillance.•Daily cluster detection can track the evolution of key hotspots of COVID-19.•Temporal trend towards smaller but more numerous clusters.•Time-periodic surveillance of COVID-19 facilitates decision-making in public h...

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Bibliographic Details
Published in:	Spatial and spatio-temporal epidemiology Vol. 34; p. 100354
Main Authors:	Hohl, Alexander, Delmelle, Eric M., Desjardins, Michael R., Lan, Yu
Format:	Journal Article
Language:	English
Published:	Netherlands Elsevier Ltd 01.08.2020 The Authors. Published by Elsevier Ltd
Subjects:	Communicable Diseases, Emerging - epidemiology Coronavirus Infections - diagnosis Coronavirus Infections - epidemiology COVID-19 Databases, Factual Disease Outbreaks - statistics & numerical data Disease surveillance Female Humans Male Mass Screening - methods Models, Statistical Monte Carlo Method Pandemic Pandemics - statistics & numerical data Pneumonia, Viral - diagnosis Pneumonia, Viral - epidemiology Poisson Distribution Prevalence Prospective Studies Public Health SaTScan Severe Acute Respiratory Syndrome - diagnosis Severe Acute Respiratory Syndrome - epidemiology Space-Time Clustering Space-time clusters United States - epidemiology United States COVID-19 Disease surveillance SaTScan Pandemic Space-time clusters
ISSN:	1877-5845, 1877-5853, 1877-5853
Online Access:	Get full text
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