title: Disease invasion risk in a growing population.
abstract: The spread of an infectious disease may depend on the population size. For simplicity, classic epidemic models assume homogeneous mixing, usually standard incidence or mass action. For standard incidence, the contact rate between any pair of individuals is inversely proportional to the population size, and so the basic reproduction number (and thus the initial exponential growth rate of the disease) is independent of the population size. For mass action, this contact rate remains constant, predicting that the basic reproduction number increases linearly with the population size, meaning that disease invasion is easiest when the population is largest. In this paper, we show that neither of these may be true on a slowly evolving contact network: the basic reproduction number of a short epidemic can reach its maximum while the population is still growing. The basic reproduction number is proportional to the spectral radius of a contact matrix, which is shown numerically to be well approximated by the average excess degree of the contact network. We base our analysis on modeling the dynamics of the average excess degree of a random contact network with constant population input, proportional deaths, and preferential attachment for contacts brought in by incoming individuals (i.e., individuals with more contacts attract more incoming contacts). In addition, we show that our result also holds for uniform attachment of incoming contacts (i.e., every individual has the same chance of attracting incoming contacts), and much more general population dynamics. Our results show that a disease spreading in a growing population may evade control if disease control planning is based on the basic reproduction number at maximum population size.
authors.affiliation: College of Science, Shanghai University for Science and Technology, Shanghai, China.
authors.forename: Sanling
authors.initials: S
authors.lastname: Yuan
authors.affiliation: Department of Mathematics and Statistics, University of Victoria, Victoria, BC, Canada.
authors.forename: P
authors.initials: P
authors.lastname: van den Driessche
authors.affiliation: University Scholars Programme, National University of Singapore, Singapore, Singapore.
authors.forename: Frederick H
authors.initials: FH
authors.lastname: Willeboordse
authors.affiliation: Department of Mathematics, University of Central Florida, Orlando, FL, 32816, USA.
authors.forename: Zhisheng
authors.initials: Z
authors.lastname: Shuai
authors.affiliation: Department of Mathematics and Statistics, University of Victoria, Victoria, BC, Canada. junlingm@uvic.ca.
authors.forename: Junling
authors.initials: J
authors.lastname: Ma
mesh_terms: D050936:Basic Reproduction Number; D003141:Communicable Diseases / Q000453:epidemiology*; D004196:Disease Outbreaks / Q000706:statistics & numerical data*; D006801:Humans; D015233:Models, Statistical; D011156:Population Density; D011157:Population Dynamics
keywords: Basic reproduction number; Dynamic contact network; Excess degree