Validating a Bayesian Spatio-Temporal Model to Predict La Crosse Virus Human Incidence in the Appalachian Mountain Region, USA

Validating a Bayesian Spatio-Temporal Model to Predict La Crosse Virus Human Incidence in the Appalachian Mountain Region, USA

La Crosse virus (LACV) is a rare cause of pediatric encephalitis, yet identifying and mitigating transmission foci is critical to detecting additional cases. Neurologic disease disproportionately occurs among children, and survivors often experience substantial, life-altering chronic disability. Des...

Full description

Saved in:
Bibliographic Details
Main Authors: Maggie McCarter, Stella C. W. Self, Huixuan Li, Joseph A. Ewing, Lídia Gual-Gonzalez, Mufaro Kanyangarara, Melissa S. Nolan
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Microorganisms
Subjects:
arboviral surveillance
forecast modelling
prediction modelling
integrated nested laplace approximation technique
bayesian statistics
Online Access:https://www.mdpi.com/2076-2607/13/4/812
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2076-2607/13/4/812

Similar Items