Optimal time-profiles of public health intervention to shape voluntary vaccination for childhood diseases View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-03

AUTHORS

Bruno Buonomo, Piero Manfredi, Alberto d’Onofrio

ABSTRACT

In order to seek the optimal time-profiles of public health systems (PHS) Intervention to favor vaccine propensity, we apply optimal control (OC) to a SIR model with voluntary vaccination and PHS intervention. We focus on short-term horizons, and on both continuous control strategies resulting from the forward-backward sweep deterministic algorithm, and piecewise-constant strategies (which are closer to the PHS way of working) investigated by the simulated annealing (SA) stochastic algorithm. For childhood diseases, where disease costs are much larger than vaccination costs, the OC solution sets at its maximum for most of the policy horizon, meaning that the PHS cannot further improve perceptions about the net benefit of immunization. Thus, the subsequent dynamics of vaccine uptake stems entirely from the declining perceived risk of infection (due to declining prevalence) which is communicated by direct contacts among parents, and unavoidably yields a future decline in vaccine uptake. We find that for relatively low communication costs, the piecewise control is close to the continuous control. For large communication costs the SA algorithm converges towards a non-monotone OC that can have oscillations. More... »

PAGES

1089-1113

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00285-018-1303-1

    DOI

    http://dx.doi.org/10.1007/s00285-018-1303-1

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1107989157

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30390103


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