title: Correlated infections: quantifying individual heterogeneity in the spread of infectious diseases.
abstract: In this paper, we propose new methods for investigating the extent of heterogeneity in effective contact rates relevant to the transmission of infections. These methods exploit the correlations between ages at infection for different infections within individuals. The methods are developed for serological surveys, which provide accessible individual data on several infections, and are applied to a wide range of infections. We find that childhood infections are often highly correlated within individuals in early childhood, with the correlations persisting into adulthood only for infections sharing a transmission route. We discuss 2 applications of the methods: 1) to making inferences about routes of transmission when these are unknown or uncertain and 2) to estimating epidemiologic parameters such as the basic reproduction number and the critical immunization threshold. Two examples of such applications are presented: elucidating the transmission route of polyomaviruses BK and JC and estimating the basic reproduction number and critical immunization coverage of varicella-zoster infection in Belgium, Italy, Poland, and England and Wales. We speculate that childhood correlations stem from confounding of different transmission routes and represent heterogeneity in childhood circumstances, notably nursery-school attendance. In contrast, it is suggested that correlations in adulthood are route-specific.
authors: Department of Mathematics and Statistics, The Open University, Milton Keynes, United Kingdom. c.p.farrington@open.ac.uk
authors: C Paddy
authors: CP
authors: Farrington
authors: Heather J
authors: HJ
authors: Whitaker
authors: Steffen
authors: S
authors: Unkel
authors: Richard
authors: R
authors: Pebody
mesh_terms: D050936:Basic Reproduction Number; D018562:Disease Transmission, Infectious; D004812:Epidemiologic Methods; D006801:Humans; D008954:Models, Biological; D016036:Seroepidemiologic Studies; D012698:Serologic Tests; D013223:Statistics as Topic; D014611:Vaccination / Q000706:statistics & numerical data*