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Immunological serotype interactions and their effect on the epidemiological pattern of dengue
Authors:Mario Recker  Konstantin B Blyuss  Cameron P Simmons  Tran Tinh Hien  Bridget Wills  Jeremy Farrar  Sunetra Gupta
Institution:1.Department of Zoology, University of Oxford, Oxford OX1 3PS, UK;2.Department of Engineering Mathematics, University of Bristol, Bristol BS8 1TR, UK;3.Hospital for Tropical Diseases, 190 Ben Ham Tu, Quan 5, Ho Chi Minh City, Viet Nam;4.Oxford University Clinical Research Unit, Hospital for Tropical Diseases, Ho Chi Minh City, Viet Nam
Abstract:Long-term epidemiological data reveal multi-annual fluctuations in the incidence of dengue fever and dengue haemorrhagic fever, as well as complex cyclical behaviour in the dynamics of the four serotypes of the dengue virus. It has previously been proposed that these patterns are due to the phenomenon of the so-called antibody-dependent enhancement (ADE) among dengue serotypes, whereby viral replication is increased during secondary infection with a heterologous serotype; however, recent studies have implied that this positive reinforcement cannot account for the temporal patterns of dengue and that some form of cross-immunity or external forcing is necessary. Here, we show that ADE alone can produce the observed periodicities and desynchronized oscillations of individual serotypes if its effects are decomposed into its two possible manifestations: enhancement of susceptibility to secondary infections and increased transmissibility from individuals suffering from secondary infections. This decomposition not only lowers the level of enhancement necessary for realistic disease patterns but also reduces the risk of stochastic extinction. Furthermore, our analyses reveal a time-lagged correlation between serotype dynamics and disease incidence rates, which could have important implications for understanding the irregular pattern of dengue epidemics.
Keywords:dengue  antibody-dependent enhancement  mathematical model
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