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dc.contributor.authorSaldaña, F. 
dc.contributor.authorSteindorf, V. 
dc.contributor.authorSrivastav, A.K. 
dc.contributor.authorStollenwerk, N. 
dc.contributor.authorAguiar, M. 
dc.date2024-04-20en_US
dc.date.accessioned2023-04-18T10:16:49Z
dc.date.available2023-04-18T10:16:49Z
dc.date.issued2023-04-15
dc.identifier.urihttp://hdl.handle.net/20.500.11824/1587
dc.description.abstractThe burden of sexually transmitted infections (STIs) poses a challenge due to its large negative impact on sexual and reproductive health worldwide. Besides simple prevention measures and available treatment efforts, prophylactic vaccination is a powerful tool for controlling some viral STIs and their associated diseases. Here, we investigate how prophylactic vaccines are best distributed to prevent and control STIs. We consider sex-specific differences in susceptibility to infection, as well as disease severity outcomes. Different vaccination strategies are compared assuming distinct budget constraints that mimic a scarce vaccine stockpile. Vaccination strategies are obtained as solutions to an optimal control problem subject to a two-sex Kermack– McKendrick-type model, where the control variables are the daily vaccination rates for females and males. One important aspect of our approach relies on conceptualizing a limited but specific vaccine stockpile via an isoperimetric constraint. We solve the optimal control problem via Pontryagin’sMaximum Principle and obtain a numerical approximation for the solution using a modified version of the forward–backward sweep method that handles the isoperimetric budget constraint in our formulation. The results suggest that for a limited vaccine supply (20%–30%vaccination coverage), onesex vaccination, prioritizing females, appears to be more beneficial than the inclusion of both sexes into the vaccination program.Whereas, if the vaccine supply is relatively large (enough to reach at least 40% coverage), vaccinating both sexes, with a slightly higher rate for females, is optimal and provides an effective and faster approach to reducing the prevalence of the infection.en_US
dc.formatapplication/pdfen_US
dc.language.isoengen_US
dc.rightsReconocimiento-NoComercial-CompartirIgual 3.0 Españaen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/es/en_US
dc.subjectEpidemiology, R0, HPV, Modelingen_US
dc.titleOptimal vaccine allocation for the control of sexually transmitted infectionsen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.identifier.doihttps://doi.org/10.1007/s00285-023-01910-yen_US
dc.relation.publisherversionhttps://link.springer.com/article/10.1007/s00285-023-01910-yen_US
dc.relation.projectIDinfo:eu-repo/grantAgreement/Gobierno Vasco/BMTFen_US
dc.rights.accessRightsinfo:eu-repo/semantics/embargoedAccessen_US
dc.type.hasVersioninfo:eu-repo/semantics/acceptedVersionen_US
dc.journal.titleJournal of Mathematical Biologyen_US
dc.volume.number86en_US
dc.issue.number75en_US


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Reconocimiento-NoComercial-CompartirIgual 3.0 España
Except where otherwise noted, this item's license is described as Reconocimiento-NoComercial-CompartirIgual 3.0 España