Mathematical modeling of malaria vaccination with seasonality and immune feedback

dc.contributor.authorQu, Zhuolinen
dc.contributor.authorPatterson, Denisen
dc.contributor.authorZhao, Lihongen
dc.contributor.authorPonce, Joanen
dc.contributor.authorEdholm, Christina J.en
dc.contributor.authorProsper-Feldmen, Olivia F.en
dc.contributor.authorChilds, Lauren M.en
dc.date.accessioned2026-02-02T18:38:40Zen
dc.date.available2026-02-02T18:38:40Zen
dc.date.issued2025-05en
dc.description.abstractMalaria is one of the deadliest infectious diseases globally, claiming hundreds of thousands of lives each year. The disease presents substantial heterogeneity among the population, with approximately two-thirds of fatalities occurring in children under five years old. Immunity to malaria develops through repeated exposure and plays a crucial role in disease dynamics. Seasonal environmental fluctuations, such as changes in temperature and rainfall, lead to temporal heterogeneity and further complicate transmission dynamics and the utility of intervention strategies. We employ an age-structured partial differential equation model to characterize seasonal malaria transmission and assess vaccination strategies that vary by timing and duration. Our model integrates vector-host epidemiological dynamics across different age groups and nonlinear feedback between transmission and immunity. We calibrate the model to year-round and seasonal malaria settings and conduct extensive sensitivity analyses for both scenarios to systematically assess which assumptions lead to the most uncertainty. We use time-varying sensitivity indices to identify critical disease parameters during low and high transmission seasons. We further investigate the impact of vaccination and its implementation in the seasonal malaria settings. When implementing a three-dose primary vaccination series, seasonally targeted campaigns can prevent significantly more cases per vaccination than constant year-long programs in regions with strong seasonal variation in transmission. In such scenarios, the optimal vaccination interval aligns with the peak in infected mosquito abundance and precedes the peak in malaria transmission. In contrast, seasonal booster programs may provide limited advantages over year-long vaccination. Additionally, while increasing annual vaccination counts can reduce overall disease incidence, it yields marginal improvements in cases prevented per vaccination.en
dc.description.versionPublished versionen
dc.format.extent32 page(s)en
dc.format.mimetypeapplication/pdfen
dc.identifierARTN e1012988 (Article number)en
dc.identifier.doihttps://doi.org/10.1371/journal.pcbi.1012988en
dc.identifier.eissn1553-7358en
dc.identifier.issn1553-734Xen
dc.identifier.issue5en
dc.identifier.orcidChilds, Lauren [0000-0003-3904-3895]en
dc.identifier.otherPCOMPBIOL-D-24-01067 (PII)en
dc.identifier.pmid40354311en
dc.identifier.urihttps://hdl.handle.net/10919/141111en
dc.identifier.volume21en
dc.language.isoenen
dc.publisherPublic Library of Scienceen
dc.relation.urihttps://www.ncbi.nlm.nih.gov/pubmed/40354311en
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subject.meshAnimalsen
dc.subject.meshHumansen
dc.subject.meshMalariaen
dc.subject.meshMalaria Vaccinesen
dc.subject.meshVaccinationen
dc.subject.meshComputational Biologyen
dc.subject.meshSeasonsen
dc.subject.meshChilden
dc.subject.meshChild, Preschoolen
dc.subject.meshInfanten
dc.titleMathematical modeling of malaria vaccination with seasonality and immune feedbacken
dc.title.serialPLOS Computational Biologyen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.otherArticleen
dcterms.dateAccepted2025-03-24en
pubs.organisational-groupVirginia Techen
pubs.organisational-groupVirginia Tech/Scienceen
pubs.organisational-groupVirginia Tech/Science/Mathematicsen
pubs.organisational-groupVirginia Tech/Faculty of Health Sciencesen
pubs.organisational-groupVirginia Tech/All T&R Facultyen
pubs.organisational-groupVirginia Tech/Science/COS T&R Facultyen
pubs.organisational-groupVirginia Tech/Interdisciplinary/Center for the Mathematics of Biosystemsen
pubs.organisational-groupVirginia Tech/Interdisciplinaryen

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