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dc.contributor.authorAguiar, M. 
dc.contributor.authorAnam, V. 
dc.contributor.authorBlyuss, K.
dc.contributor.authorEstadilla, C. D. S.
dc.contributor.authorGuerrero, B.
dc.contributor.authorKnopoff, D.A. 
dc.contributor.authorKooi, B. W.
dc.contributor.authorSrivastav, A. K.
dc.contributor.authorSteindorf, V.
dc.contributor.authorStollenwerk, N. 
dc.dateinfo:eu-repo/date/embargoEnd/2022-02-15en_US
dc.date.accessioned2022-02-24T16:11:14Z
dc.date.available2022-02-24T16:11:14Z
dc.date.issued2022-02-15
dc.identifier.issn1571-0645
dc.identifier.urihttp://hdl.handle.net/20.500.11824/1435
dc.description.abstractMathematical models have a long history in epidemiological research, and as the COVID-19 pandemic progressed, research on mathematical modeling became imperative and very influential to understand the epidemiological dynamics of disease spreading. Mathematical models describing dengue fever epidemiological dynamics are found back from 1970. Dengue fever is a viral mosquito-borne infection caused by four antigenically related but distinct serotypes (DENV-1 to DENV-4). With 2.5 billion people at risk of acquiring the infection, it is a major international public health concern. Although most of the cases are asymptomatic or mild, the disease immunological response is complex, with severe disease linked to the antibody-dependent enhancement (ADE) - a disease augmentation phenomenon where pre-existing antibodies to previous dengue infection do not neutralize but rather enhance the new infection. Here, we present a 10-year systematic review on mathematical models for dengue fever epidemiology. Specifically, we review multi-strain frameworks describing host-to-host and vector-host transmission models and within-host models describing viral replication and the respective immune response. Following a detailed literature search in standard scientific databases, different mathematical models in terms of their scope, analytical approach and structural form, including model validation and parameter estimation using empirical data, are described and analysed. Aiming to identify a consensus on infectious diseases modeling aspects that can contribute to public health authorities for disease control, we revise the current understanding of epidemiological and immunological factors influencing the transmission dynamics of dengue. This review provide insights on general features to be considered to model aspects of real-world public health problems, such as the current epidemiological scenario we are living in.en_US
dc.description.sponsorshipM. A. has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 792494.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.subjectdengue feveren_US
dc.subjectmathematical modelsen_US
dc.subjectMulti-strainen_US
dc.subjectvector-hosten_US
dc.subjectwithin-hosten_US
dc.subjectAntibody dependent-enhancementen_US
dc.titleMathematical models for dengue fever epidemiology: a 10-year systematic reviewen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.identifier.doi10.1016/j.plrev.2022.02.001en_US
dc.relation.projectIDES/1PE/SEV-2017-0718en_US
dc.relation.projectIDEUS/BERC/BERC.2018-2021en_US
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen_US
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersionen_US
dc.journal.titlePhysics of Life Reviewsen_US


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