Modelling the risk of Japanese encephalitis virus in Victoria, Australia, using an expert-systems approach
Abstract Predictive models for vector-borne diseases (VBDs) are instrumental to understanding the potential geographic spread of VBDs and therefore serve as useful tools for public health decision-making. However, predicting the emergence of VBDs at the micro-, local, and regional levels presents ch...
Main Authors: | Mariel Flores Lima, Jacqueline Cotton, Monique Marais, Robert Faggian |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2024-01-01
|
Series: | BMC Infectious Diseases |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12879-023-08741-8 |
Similar Items
-
Japanese Encephalitis, Singapore
by: Yin-Ling Koh, et al.
Published: (2006-03-01) -
Cost of Acute and Sequelae Care for Japanese Encephalitis Patients, Bangladesh, 2011–2021
by: Rebeca Sultana, et al.
Published: (2023-12-01) -
High Incidence of Japanese Encephalitis, Southern China
by: Yun Feng, et al.
Published: (2013-04-01) -
Japanese Encephalitis Outbreak in South-Eastern Australia, 2022
by: Danielle Hutchinson, et al.
Published: (2022-05-01) -
The reemerging and outbreak of genotypes 4 and 5 of Japanese encephalitis virus
by: Weijia Zhang, et al.
Published: (2023-11-01)