Author: Emma Southall; Michael J. Tildesley; Louise Dyson
Title: Prospects for detecting early warning signals in discrete event sequence data: application to epidemiological incidence data Document date: 2020_4_2
ID: dp4qv77q_21
Snippet: Finally we consider the SIS model with external infection which has been used to 168 investigate EWS in prevalence and in incidence [4, 5] . We demonstrate how our 169 analytical results compare for this system, and illustrate differences when applied to and we consider the model in a stochastic formulation, with transition probabilities 175 given in Table 1 . Disease emergence is driven by increasing the effective contact rate 176 β(t) over tim.....
Document: Finally we consider the SIS model with external infection which has been used to 168 investigate EWS in prevalence and in incidence [4, 5] . We demonstrate how our 169 analytical results compare for this system, and illustrate differences when applied to and we consider the model in a stochastic formulation, with transition probabilities 175 given in Table 1 . Disease emergence is driven by increasing the effective contact rate 176 β(t) over time, that slowly increases R 0 through the critical transition at R 0 = 1,
Search related documents:
Co phrase search for related documents- analytical result and Disease emergence: 1
- contact rate and Disease emergence: 1, 2, 3, 4
- contact rate and SIS model: 1, 2, 3, 4, 5, 6
- critical transition and Disease emergence: 1, 2, 3, 4, 5, 6, 7, 8, 9
- difference illustrate and Disease emergence: 1
- external infection and SIS model: 1
Co phrase search for related documents, hyperlinks ordered by date