A Model for Highly Fluctuating Spatio-Temporal Infection Data, with Applications to the COVID Epidemic

Spatio-temporal models need to address specific features of spatio-temporal infection data, such as periods of stable infection levels (endemicity), followed by epidemic phases, as well as infection spread from neighbouring areas. In this paper, we consider a mixture-link model for infection counts...

Descripción completa

Detalles Bibliográficos
Autor principal: Congdon, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9179960/
https://www.ncbi.nlm.nih.gov/pubmed/35682250
http://dx.doi.org/10.3390/ijerph19116669

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9179960/
https://www.ncbi.nlm.nih.gov/pubmed/35682250
http://dx.doi.org/10.3390/ijerph19116669

Ejemplares similares