A novel node-partitioning lumping scheme reduces arbitrary epidemic models on networks to approximate Markov Population Models with smaller state spaces.
Application of SIR epidemiological model: new trends
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
abstract
The simplest epidemiologic model composed by mutually exclusive compartments SIR (susceptible-infected-susceptible) is presented to describe a reality. From health concerns to situations related with marketing, informatics or even sociology, several are the fields that are using this epidemiological model as a first approach to better understand a situation. In this paper, the basic transmission model is analyzed, as well as simple tools that allows us to extract a great deal of information about possible solutions. A set of applications - traditional and new ones - is described to show the importance of this model.
fields
cs.SI 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Reducing Spreading Processes on Networks to Markov Population Models
A novel node-partitioning lumping scheme reduces arbitrary epidemic models on networks to approximate Markov Population Models with smaller state spaces.