TY - JOUR
T1 - Estimation of basic reproduction numbers
T2 - Individual heterogeneity and robustness to perturbation of the contact function
AU - Farrington, C Paddy
AU - Unkel, Steffen
AU - Anaya-Izquierdo, Karim
PY - 2013/7
Y1 - 2013/7
N2 - The basic reproduction number of an infection in a given population, R0, is inflated by individual heterogeneity in contact rates. Recently, new methods for estimating R0 using social contact data and serological survey data have been proposed. These methods, like most of their predecessors, ignore individual heterogeneity, and are sensitive to perturbation of the contact function. Using a frailty framework, we derive expressions for R0 in the presence of age-varying heterogeneity. In this case, R0 is the spectral radius of a population version of the next generation operator, which involves the variance function of the age-dependent frailty. This variance can be estimated within a shared frailty framework from paired data on two infections transmitted by the same route. We propose two estimators of R0 for infections in endemic equilibrium. We investigate their performance by simulation, and find that one is generally less efficient but more robust than the other to perturbation of the effective contact function. These methods are applied to data on varicella zoster virus infection from two European countries.
AB - The basic reproduction number of an infection in a given population, R0, is inflated by individual heterogeneity in contact rates. Recently, new methods for estimating R0 using social contact data and serological survey data have been proposed. These methods, like most of their predecessors, ignore individual heterogeneity, and are sensitive to perturbation of the contact function. Using a frailty framework, we derive expressions for R0 in the presence of age-varying heterogeneity. In this case, R0 is the spectral radius of a population version of the next generation operator, which involves the variance function of the age-dependent frailty. This variance can be estimated within a shared frailty framework from paired data on two infections transmitted by the same route. We propose two estimators of R0 for infections in endemic equilibrium. We investigate their performance by simulation, and find that one is generally less efficient but more robust than the other to perturbation of the effective contact function. These methods are applied to data on varicella zoster virus infection from two European countries.
UR - http://www.scopus.com/inward/record.url?scp=84879097804&partnerID=8YFLogxK
UR - http://dx.doi.org/10.1093/biostatistics/kxs054
U2 - 10.1093/biostatistics/kxs054
DO - 10.1093/biostatistics/kxs054
M3 - Article
C2 - 23266419
SN - 1468-4357
VL - 14
SP - 528
EP - 540
JO - Biostatistics
JF - Biostatistics
IS - 3
ER -