Epidemic prediction of dengue fever based on vector compartment model and Markov chain Monte Carlo method

Epidemic prediction of dengue fever based on vector compartment model and Markov chain Monte Carlo method

Background: Dengue epidemics is affected by vector-human interactive dynamics. Infectious disease prevention and control emphasize the timing intervention at the right diffusion phase. In such a way, control measures can be cost-effective, and epidemic incidents can be controlled before devastated c...

Full description

Bibliographic Details
Main Authors: Chang, K. (Author), Chen, Y.J (Author), Chen, Y.-M (Author), Ho, W.-H (Author), Lee, C.-H (Author), Tsai, J.-T (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
Aedes
animal
Animals
Boundary element method
Compartment modeling
Control measures
Cost effectiveness
dengue
Dengue
Dengue fevers
Dengue transmission
Diffusion
Disease control
Disease prevention and controls
epidemic
Epidemic prevention timing
Epidemics
Forecasting
human
Humans
Infectious disease
IS costs
Markov chain
Markov chain Monte Carlo method
Markov Chains
Markov processes
Monte Carlo method
Monte Carlo Method
Monte Carlo methods
mosquito vector
Mosquito Vectors
Population statistics
Probability distributions
Sailing vessels
Timing circuits
Vectors
Vector-susceptible-infectious-recovered with exogeneity
Vector-susceptible-infectious-recovered with exogeneity (VSIRX)
Online Access:View Fulltext in Publisher

Internet

View Fulltext in Publisher

Similar Items