MODELLING LANGUAGE EXTINCTION USING SUSCEPTIBLE-INFECTIOUS-REMOVED (SIR) MODEL
| Autor: | E. T. Jolayemi, N. A. Ikoba |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Statistics and Probability
ddc:519 Extinction stochastic epidemic model non-homogeneous mixing Statistics & Probability Biology Atmospheric sciences quasi-stationary distribution time in which a language is expected to be extinct Statistics Probability and Uncertainty Epidemic model language extinction lcsh:Statistics lcsh:HA1-4737 |
| Zdroj: | Statistics in Transition, Vol 20, Iss 4 (2019) |
| ISSN: | 2450-0291 1234-7655 |
| Popis: | The study presents a stochastic epidemic model applied to the model of indigenous language extinction. The Susceptible-Infectious-Removed (SIR) categorization of an endemic disease has been reformulated to capture the dynamics of indigenous language decline, based on the assumption of non-homogeneous mixing. The time in which an indigenous language is expected to be extinct was derived using a modified SIR model with the population segmented into several sub-communities of small sizes representing family units. The data obtained from the 2016 indigenous language survey conducted in several parts of Nigeria and from the 2013 Nigeria Demographic Health Survey (NDHS) were used to estimate the key parameters of the model for Nigeria’s several indigenous languages. The parameters of interest included the basic reproduction number, the threshold of endemicity, and the time in which a language is expected to be extinct, starting from the endemic level. On the basis of the time in which a language is expected to be extinct, several of the surveyed languages appeared to be in a precarious condition, while others seemed virile, thanks to a high language transfer quotient within families. |
| Databáze: | OpenAIRE |
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