Epidemic prediction of dengue fever based on vector compartment model and Markov chain Monte Carlo method
Abstract 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 deva...
Guardado en:
Autores principales: | Chien-Hung Lee, Ko Chang, Yao-Mei Chen, Jinn-Tsong Tsai, Yenming J. Chen, Wen-Hsien Ho |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
BMC
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/942b0e969c6141f4a9d5b8d9f9bc88b2 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Interventions on Metabolism: Making Antibiotic-Susceptible Bacteria
por: Fernando Baquero, et al.
Publicado: (2017) -
What Happens to the Immune System after Vaccination or Recovery from COVID-19?
por: Bruna T. Tiyo, et al.
Publicado: (2021) -
A new numerical investigation of fractional order susceptible-infected-recovered epidemic model of childhood disease
por: P. Veeresha, et al.
Publicado: (2022) -
Modeling Effects of Spatial Heterogeneities and Layered Exposure Interventions on the Spread of COVID-19 across New Jersey
por: Xiang Ren, et al.
Publicado: (2021) -
Geographic Partitioning of Dengue Virus Transmission Risk in Florida
por: Caroline J. Stephenson, et al.
Publicado: (2021)