Cargando…
A Temperature Conditioned Markov Chain Model for Predicting the Dynamics of Mosquito Vectors of Disease
SIMPLE SUMMARY: Understanding and predicting vector population and related disease dynamics, is crucial for gaining insight into the abundance and dynamics of arthropod disease vectors, and for the design of effective vector control strategies. Several mathematical and standard epidemiological model...
Autores principales: | Damos, Petros T., Dorrestijn, Jesse, Thomidis, Thomas, Tuells, José, Caballero, Pablo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8396828/ https://www.ncbi.nlm.nih.gov/pubmed/34442291 http://dx.doi.org/10.3390/insects12080725 |
Ejemplares similares
-
Soft Computing of a Medically Important Arthropod Vector with Autoregressive Recurrent and Focused Time Delay Artificial Neural Networks
por: Damos, Petros, et al.
Publicado: (2021) -
Analysing ill-conditioned Markov chains
por: Woods, Esmae J., et al.
Publicado: (2023) -
Markov processes and controlled Markov chains
por: Hou, Zhenting, et al.
Publicado: (2002) -
Do Insect Populations Die at Constant Rates as They Become Older? Contrasting Demographic Failure Kinetics with Respect to Temperature According to the Weibull Model
por: Damos, Petros, et al.
Publicado: (2015) -
Markov chains
por: Douc, Randal, et al.
Publicado: (2018)