Spatio-temporal small area surveillance of the COVID-19 pandemic-Reference-Cited by-同舟云学术

Spatio-temporal small area surveillance of the COVID-19 pandemic

Published:2021-11 Issue: Volume: Page:100551
ISSN:2211-6753
Container-title:Spatial Statistics
language:en
Short-container-title:Spatial Statistics

Author:

Martinez-Beneito Miguel A.^ORCID,Mateu Jorge,Botella-Rocamora Paloma^ORCID

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Statistics and Probability

Reference23 articles.

1. BayesIan image restoration, with two applications in spatial statistics;Besag;Ann. Inst. Stat. Math.,1991

2. Centro Nacional de Epidemiología, ., Instituto de Salud Carlos III, https://cnecovid.isciii.es/covid19/, Accessed on April 11th, 2021.

3. Consejo Interterritorial, ., Sistema Nacional de Salud, ., Coordinated response actions for the transmission control of covid-19 [in spanish], https://www.lamoncloa.gob.es/serviciosdeprensa/notasprensa/sanidad14/Documents/2020/221020_ActuacionesrespuestaCOVID.pdf.

4. Epiestim: Estimate time varying reproduction numbers from epidemic curves, R package version 2.2-3;Cori,2020

5. A new framework and software to estimate time-varying reproduction numbers during epidemics;Cori;Am. J. Epidemiol.,2013

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Bayesian spatio-temporal analysis of the COVID-19 pandemic in Catalonia;Scientific Reports;2024-02-20

2. Jorge Mateu and Álvaro Briz-Redón's contribution to the Discussion of ‘The Second Discussion Meeting on Statistical aspects of the Covid-19 Pandemic’;Journal of the Royal Statistical Society Series A: Statistics in Society;2023-04-05

3. COVID-19 hospitalizations and patients' age at admission: The neglected importance of data variability for containment policies;Frontiers in Public Health;2022-11-30