Detecting COVID-19 Clusters at High Spatiotemporal Resolution, New York City, New York, USA, June–July 2020-Reference-Cited by-同舟云学术

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Detecting COVID-19 Clusters at High Spatiotemporal Resolution, New York City, New York, USA, June–July 2020

Published:2021-05 Issue:5 Volume:27 Page:
ISSN:1080-6040
Container-title:Emerging Infectious Diseases
language:
Short-container-title:Emerg. Infect. Dis.

Author:

Greene Sharon K.,Peterson Eric R.,Balan Dominique,Jones Lucretia,Culp Gretchen M.,Fine Annie D.,Kulldorff Martin

Publisher

Centers for Disease Control and Prevention (CDC)

Subject

Infectious Diseases,Microbiology (medical),Epidemiology

Reference15 articles.

1. Geospatial digital monitoring of COVID-19 cases at high spatiotemporal resolution.;De Ridder;Lancet Digit Health,2020

2. Clusters of coronavirus disease in communities, Japan, January–April 2020.;Furuse;Emerg Infect Dis,2020

3. Daily surveillance of COVID-19 using the prospective space-time scan statistic in the United States.;Hohl;Spat Spatio-Temporal Epidemiol,2020

4. Spatial analysis of COVID-19 clusters and contextual factors in New York City.;Cordes;Spat Spatio-Temporal Epidemiol,2020

5. A space-time permutation scan statistic for disease outbreak detection.;Kulldorff;PLoS Med,2005

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3. Environmental and geographical factors influencing the spread of SARS-CoV-2 over 2 years: a fine-scale spatiotemporal analysis;Frontiers in Public Health;2024-06-18

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