Space and contact networks: capturing the locality of disease transmission.

ABSTRACT: While an arbitrary level of complexity may be included in simulations of spatial epidemics, computational intensity and analytical intractability mean that such models often lack transparency into the determinants of epidemiological dynamics. Although numerous approaches attempt to resolve this complexity-tractability trade-off, moment closure methods arguably offer the most promising and robust frameworks for capturing the role of the locality of contact processes on global disease dynamics. While a close analogy may be made between full stochastic spatial transmission models and dynamic network models, we consider here the special case where the dynamics of the network topology change on time-scales much longer than the epidemiological processes imposed on them; in such cases, the use of

SUBMITTER: Parham PE 

PROVIDER: S-EPMC1664645 | biostudies-literature | 2006 Aug

REPOSITORIES: biostudies-literature