Invasive pneumococcal disease is a leading cause of morbidity worldwide.
Pneumococcal conjugate vaccine effectively reduces the number of cases caused by
vaccine-targeted serotypes among children who receive the vaccine and adults who
are not directly vaccinated. Recently, there has been debate as to whether
adults should receive the same conjugate vaccine as children. In settings where
vaccine uptake in children is high, the vaccine serotypes cause a small fraction
of disease cases, and direct vaccination might have a small effect. However,
direct vaccination might be warranted if geographic regions or subpopulations
exist where the targeted serotypes persist at higher levels than expected. To
detect such geographic variability, new methodology is required. We introduce an
innovative, spatially varying change points model, combined with spatially
varying intercepts and slopes, to jointly determine whether the beginning date
of the vaccine-associated decline, the initial baseline proportion of invasive
pneumococcal disease cases caused by vaccine-targeted serotypes, and/or the rate
of decline of vaccine-targeted serotypes vary in the adult population across
Connecticut, 1998-2009. Results indicate that there is substantial spatial
variability in the pattern with which vaccine-targeted serotypes decline,
suggesting that the fraction of invasive pneumococcal disease cases that could
have been preventable by direct vaccination of adults in Connecticut during the
study period differed over time and space. The newly developed model is shown to
outperform a number of competitors in terms of explanatory and predictive
ability.