title: SI infection on a dynamic partnership network: characterization of R0.
abstract: We model the spread of an SI (Susceptible → Infectious) sexually transmitted infection on a dynamic homosexual network. The network consists of individuals with a dynamically varying number of partners. There is demographic turnover due to individuals entering the population at a constant rate and leaving the population after an exponentially distributed time. Infection is transmitted in partnerships between susceptible and infected individuals. We assume that the state of an individual in this structured population is specified by its disease status and its numbers of susceptible and infected partners. Therefore the state of an individual changes through partnership dynamics and transmission of infection. We assume that an individual has precisely n 'sites' at which a partner can be bound, all of which behave independently from one another as far as forming and dissolving partnerships are concerned. The population level dynamics of partnerships and disease transmission can be described by a set of (n +1)(n +2) differential equations. We characterize the basic reproduction ratio R0 using the next-generation-matrix method. Using the interpretation of R0 we show that we can reduce the number of states-at-infection n to only considering three states-at-infection. This means that the stability analysis of the disease-free steady state of an (n +1)(n +2)-dimensional system is reduced to determining the dominant eigenvalue of a 3 × 3 matrix. We then show that a further reduction to a 2 × 2 matrix is possible where all matrix entries are in explicit form. This implies that an explicit expression for R0 can be found for every value of n.
authors.affiliation: Mathematical Institute, Utrecht University, Utrecht, The Netherlands, k.y.leung@uu.nl.
authors.forename: Ka Yin
authors.initials: KY
authors.lastname: Leung
authors.forename: Mirjam
authors.initials: M
authors.lastname: Kretzschmar
authors.forename: Odo
authors.initials: O
authors.lastname: Diekmann
mesh_terms: D017954:Africa South of the Sahara / Q000453:epidemiology; D050936:Basic Reproduction Number; D019295:Computational Biology; D003198:Computer Simulation; D004198:Disease Susceptibility; D058872:Epidemics / Q000706:statistics & numerical data; D005260:Female; D015658:HIV Infections / Q000453:epidemiology / Q000635:transmission; D006716:Homosexuality; D006801:Humans; D016014:Linear Models; D008297:Male; D055641:Mathematical Concepts; D008954:Models, Biological; D012747:Sexual Partners; D012749:Sexually Transmitted Diseases / Q000453:epidemiology / Q000635:transmission*