Cargando…
A comparison of prospective space-time scan statistics and spatiotemporal event sequence based clustering for COVID-19 surveillance
The outbreak of the COVID-19 disease was first reported in Wuhan, China, in December 2019. Cases in the United States began appearing in late January. On March 11, the World Health Organization (WHO) declared a pandemic. By mid-March COVID-19 cases were spreading across the US with several hotspots...
Autores principales: | Xu, Fuyu, Beard, Kate |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8191960/ https://www.ncbi.nlm.nih.gov/pubmed/34111199 http://dx.doi.org/10.1371/journal.pone.0252990 |
Ejemplares similares
-
Daily surveillance of COVID-19 using the prospective space-time scan statistic in the United States
por: Hohl, Alexander, et al.
Publicado: (2020) -
Rapid surveillance of COVID-19 in the United States using a prospective space-time scan statistic: Detecting and evaluating emerging clusters
por: Desjardins, M.R., et al.
Publicado: (2020) -
Comparison of covariate adjustment methods using space-time scan statistics for food animal syndromic surveillance
por: Alton, Gillian D, et al.
Publicado: (2013) -
Geographic prediction of tuberculosis clusters in Fukuoka, Japan, using the space-time scan statistic
por: Onozuka, Daisuke, et al.
Publicado: (2007) -
Utilizing prospective space-time scan statistics to discover the dynamics of coronavirus disease 2019 clusters in the State of São Paulo, Brazil
por: Ferreira, Ricardo Vicente, et al.
Publicado: (2022)