title: Tests to detect clustering of infected individuals within families.
abstract: A new simple test to detect within-family clustering of infected individuals is proposed. The test is derived as the score test for several different parametric models designed to allow an increased within-family infectivity. The new test is compared with other tests proposed to detect the same type of clustering caused by increased within-family infectivity. Applications of household disease data and simulations are used to illustrate the theory.
authors.affiliation: Department of Mathematics, Stockholm University, Sweden.
authors.forename: T
authors.initials: T
authors.lastname: Britton
mesh_terms: D001699:Biometry / Q000379:methods*; D016000:Cluster Analysis; D003141:Communicable Diseases / Q000453:epidemiology*; D004196:Disease Outbreaks / Q000706:statistics & numerical data*; D005190:Family; D006801:Humans; D008954:Models, Biological