Cargando…
A mathematical model for simulating the spread of a disease through a country divided into geographical regions with different population densities
The SIR (susceptible-infectious-recovered) model is a well known method for predicting the number of people (or animals) in a population who become infected by and then recover from a disease. Modifications can include categories such people who have been exposed to the disease but are not yet infec...
Autores principales: | Harris, P. J., Bodmann, B. E. J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9483512/ https://www.ncbi.nlm.nih.gov/pubmed/36114922 http://dx.doi.org/10.1007/s00285-022-01803-6 |
Ejemplares similares
-
The spread of incompatibility-inducing parasites in sub-divided host populations
por: Reuter, Max, et al.
Publicado: (2008) -
Simulation of the spread of infectious diseases in a geographical environment
por: Zhong, ShaoBo, et al.
Publicado: (2009) -
Impacts of geographic factors and population density on the COVID-19 spreading under the lockdown policies of China
por: Sun, Zhibin, et al.
Publicado: (2020) -
Chlamydia trachomatis Strain Types Have Diversified Regionally and Globally with Evidence for Recombination across Geographic Divides
por: Smelov, Vitaly, et al.
Publicado: (2017) -
A mathematical model for the spread of Varroa mites in honeybee populations: two simulation scenarios with seasonality
por: Ibrahim, Mahmoud A., et al.
Publicado: (2022)