Umar, Mallam AbdulkarimNdakwo, Husseini S.2023-12-142023-12-142020-08-08Umar, M.A. & Ndakwo, H.S. (2020). Effects of minimum epidemic and population sizes on a global epidemic in simulations of final size datahttps://keffi.nsuk.edu.ng/handle/20.500.14448/5756The 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.enFinal size epidemic, Global Infection, Infectious Period distribution, Maximum likelihood estimates.Article