10.5061/DRYAD.58Q00
Magpantay, Felicia M. G.
University of Michigan-Ann Arbor
Domenech de Cellès, Matthieu
University of Michigan-Ann Arbor
Rohani, Pejman
University of Michigan-Ann Arbor
King, Aaron A.
University of Michigan-Ann Arbor
Data from: Pertussis immunity and epidemiology: mode and duration of
vaccine-induced immunity
Dryad
dataset
2016
leaky vaccine
imperfect vaccine
waning immunity
Pertussis
Disease dynamics
iterated filtering
2016-08-04T00:00:00Z
2016-08-04T00:00:00Z
en
https://doi.org/10.1017/S0031182015000979
35113897 bytes
1
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
The resurgence of pertussis in some countries that maintain high
vaccination coverage has drawn attention to gaps in our understanding of
the epidemiological effects of pertussis vaccines. In particular, major
questions surround the nature, degree and durability of vaccine
protection. To address these questions, we used mechanistic transmission
models to examine regional time series incidence data from Italy in the
period immediately following the introduction of acellular pertussis (aP)
vaccine. Our results concur with recent animal-challenge experiments
wherein infections in aP-vaccinated individuals proved as transmissible as
those in naive individuals but much less symptomatic. On the other hand,
the data provide evidence for vaccine-driven reduction in susceptibility,
which we quantify via a synthetic measure of vaccine impact. As to the
precise nature of vaccine failure, the data do not allow us to distinguish
between leakiness and waning of vaccine immunity, or some combination of
these. Across the range of well-supported models, the nature and duration
of vaccine protection, the age profile of incidence and the range of
projected epidemiological futures differ substantially, underscoring the
importance of the remaining unknowns. We identify key data gaps: sources
of data that can supply the information needed to eliminate these
remaining uncertainties.
Example workflow for parameter estimationThis archive contains a sample
workflow for deriving the parameter sets to generate the plots in
"Pertussis immunity and epidemiology: mode and duration of
vaccine-induced immunity."Workflow.zipR Code for Plots in
"Immunity and epidemiology: integrating theory and data for
pertussis"This archive contains all of the required code to generate
the figures and tables in the paper "Immunity and epidemiology:
integrating theory and data for pertussis."FinalPlots.zip