A General Multipatch Model of Ebola Dynamics

Abstract A model for the transmission dynamics of Ebola virus in a multipatch network setting is studied. The considers contribution to by people who are susceptible, infectious, isolated, deceased but still infectious and not yet buried, as well pathogen at interacting nodes or patches. Humans can move between patches carrying disease any patch region n communities (patches). Both direct indirect accounted this model. Matrix graph-theoretic methods some combinatorial identities used construct appropriate Lyapunov functions establish global stability results both disease-free endemic equilibrium While focused on Ebola, it be adapted study other epidemics, including COVID-19, currently affecting all countries world.