An agent-based model of dengue virus transmission shows how uncertainty about breakthrough infections influences vaccination impact projections.

ABSTRACT: Prophylactic vaccination is a powerful tool for reducing the burden of infectious diseases, due to a combination of direct protection of vaccinees and indirect protection of others via herd immunity. Computational models play an important role in devising strategies for vaccination by making projections of its impacts on public health. Such projections are subject to uncertainty about numerous factors, however. For example, many vaccine efficacy trials focus on measuring protection against disease rather than protection against infection, leaving the extent of breakthrough infections (i.e., disease ameliorated but infection unimpeded) among vaccinees unknown. Our goal in this study was to quantify the extent to which uncertainty about breakthrough infections results in uncertainty about va

SUBMITTER: Perkins TA 

PROVIDER: S-EPMC6443188 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature