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dc.contributor.author
Aguiar, Maíra
dc.contributor.author
Anam, Vizda
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Blyuss, Konstantin B.
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Estadilla, Carlo Delfin S.
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Guerrero, Bruno V.
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Knopoff, Damián Alejandro
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dc.contributor.author
Kooi, Bob W.
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Srivastav, Akhil Kumar
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Steindorf, Vanessa
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Stollenwerk, Nico
dc.date.available
2023-07-12T11:30:16Z
dc.date.issued
2022-03
dc.identifier.citation
Aguiar, Maíra; Anam, Vizda; Blyuss, Konstantin B.; Estadilla, Carlo Delfin S.; Guerrero, Bruno V.; et al.; Mathematical models for dengue fever epidemiology: A 10-year systematic review; Elsevier Science; Physics of Life Reviews; 40; 3-2022; 65-92
dc.identifier.issn
1571-0645
dc.identifier.uri
http://hdl.handle.net/11336/203393
dc.description.abstract
Mathematical 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 analyzed. 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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier Science
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dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.subject
ANTIBODY DEPENDENT-ENHANCEMENT
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DENGUE FEVER
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MATHEMATICAL MODELS
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MULTI-STRAIN
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VECTOR-HOST
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WITHIN-HOST
dc.subject.classification
Matemática Aplicada
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dc.subject.classification
Matemáticas
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dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
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dc.title
Mathematical models for dengue fever epidemiology: A 10-year systematic review
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2023-07-05T15:13:36Z
dc.identifier.eissn
1873-1457
dc.journal.volume
40
dc.journal.pagination
65-92
dc.journal.pais
Países Bajos
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dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Aguiar, Maíra. Ikerbasque; España. Basque Center For Applied Mathematics; España. Universita degli Studi di Trento; Italia
dc.description.fil
Fil: Anam, Vizda. Basque Center For Applied Mathematics; España
dc.description.fil
Fil: Blyuss, Konstantin B.. Vrije Universiteit Amsterdam; Países Bajos
dc.description.fil
Fil: Estadilla, Carlo Delfin S.. Basque Center For Applied Mathematics; España
dc.description.fil
Fil: Guerrero, Bruno V.. Basque Center For Applied Mathematics; España
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Fil: Knopoff, Damián Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Centro de Investigación y Estudios de Matemática. Universidad Nacional de Córdoba. Centro de Investigación y Estudios de Matemática; Argentina. Basque Center For Applied Mathematics; España
dc.description.fil
Fil: Kooi, Bob W.. University of Sussex; Reino Unido
dc.description.fil
Fil: Srivastav, Akhil Kumar. Basque Center For Applied Mathematics; España
dc.description.fil
Fil: Steindorf, Vanessa. Basque Center For Applied Mathematics; España
dc.description.fil
Fil: Stollenwerk, Nico. Basque Center For Applied Mathematics; España. Universita degli Studi di Trento; Italia
dc.journal.title
Physics of Life Reviews
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dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.plrev.2022.02.001
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1571064522000045
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