The role of short-term immigration on disease dynamics: an sir model with age-structure
Revista de Matemática Teoría y Aplicaciones, ISSN: 1409-2433, Vol: 26, Issue: 1, Page: 139-159
2019
- 347Usage
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
Abstract [14] We formulate an age-structured nonlinear partial differential equation model that features short-term immigration effects in a population. In- dividuals can immigrate into the population as any of the three stages in the model: susceptible, infected or recovered. Global stability of the immigration-free and infection-free equilibria is discussed. A generalized numerical framework is established and specific short-term immigration scenarios are explored.
Bibliographic Details
http://www.scielo.sa.cr/scielo.php?script=sci_arttext&pid=S1409-24332019000100139&lng=en&tlng=en; http://www.scielo.sa.cr/scielo.php?script=sci_abstract&pid=S1409-24332019000100139&lng=en&tlng=en; http://www.scielo.sa.cr/scielo.php?script=sci_arttext&pid=S1409-24332019000100139; http://www.scielo.sa.cr/scielo.php?script=sci_abstract&pid=S1409-24332019000100139; http://dx.doi.org/10.15517/rmta.v26i1.35529
Publicación del Centro de Investigaciones en Matemática Pura y Aplicada (CIMPA)
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know