Inference on dengue epidemics with Bayesian regime switching models.
10.1371/journal.pcbi.1007839
Saved in:
Main Authors: | Lim, Jue Tao, Dickens, Borame Sue, Haoyang, Sun, Ching, Ng Lee, Cook, Alex R |
---|---|
Other Authors: | SAW SWEE HOCK SCHOOL OF PUBLIC HEALTH |
Format: | Article |
Published: |
Public Library of Science (PLoS)
2020
|
Online Access: | https://scholarbank.nus.edu.sg/handle/10635/168490 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
Simulation-based Bayesian inference for epidemic models
by: McKinley, T.J., et al.
Published: (2014) -
Modelling the epidemic extremities of dengue transmissions in Thailand
by: Tao, L.J., et al.
Published: (2021) -
Bayesian Analysis for Inference of an Emerging Epidemic: Citrus Canker in Urban Landscapes
by: Neri F.M., et al.
Published: (2018) -
Spatial Methods for Inferring Extremes in Dengue Outbreak Risk in Singapore
by: Soh, Stacy, et al.
Published: (2023) -
Explicit characterization of human population connectivity reveals long run persistence of interregional dengue shocks
by: Jue Tao, Lim, et al.
Published: (2023)