Effects of minimum epidemic and population sizes on a global epidemic in simulations of final size data
| dc.contributor.author | Umar, Mallam Abdulkarim | |
| dc.contributor.author | Ndakwo, Husseini S. | |
| dc.date.accessioned | 2023-12-14T07:29:49Z | |
| dc.date.available | 2023-12-14T07:29:49Z | |
| dc.date.issued | 2020-08-08 | |
| dc.description.abstract | The stochastic SIR household epidemic model is well discussed in [2], [3] and [4]. The work of [1] • also proposed maximum likelihood based algori hm for its inference by assuming independence of epidemic in each household, contrary to the dependency assn uption in [4]. 8 ° * Using simulations, we examined the ne id for an appropriate choice of cut-off between small and large epidemics often referred to as minimum epidemic size, using rejection sampling, for a global infection to occur and then compared the estimates of the model parameters over a range of theoretical parameters, XL and Xc with corresponding z 6 [0,1]. We found that with large population size, appropriate choice of the minimum epidemic size and Xc =£ 0 facilitate the occurrence of a global epidemic. Thus, given these scenarios, the adequacy of the model fitness to the final size epidemic data is then realised. | en_US |
| dc.identifier.citation | Umar, M.A. & Ndakwo, H.S. (2020). Effects of minimum epidemic and population sizes on a global epidemic in simulations of final size data | en_US |
| dc.identifier.uri | https://keffi.nsuk.edu.ng/handle/20.500.14448/5756 | |
| dc.language.iso | en | en_US |
| dc.publisher | Department of Mathematics, Nasarawa State University Keffi | en_US |
| dc.subject | Final size epidemic, Global Infection, Infectious Period distribution, Maximum likelihood estimates. | en_US |
| dc.title | Effects of minimum epidemic and population sizes on a global epidemic in simulations of final size data | en_US |
| dc.type | Article | en_US |