The Effects of Tertiary and Quaternary Infections on the Epidemiology of Dengue

The epidemiology of dengue is characterised by irregular epidemic outbreaks and desynchronised dynamics of its four co-circulating virus serotypes. Whilst infection by one serotype appears to convey life-long protection to homologous infection, it is believed to be a risk factor for severe disease manifestations upon secondary, heterologous infection due to the phenomenon of Antibody-Dependent Enhancement (ADE). Subsequent clinical infections are rarely reported and, since the majority of dengue infections are generally asymptomatic, it is not clear if and to what degree tertiary or quaternary infections contribute to dengue epidemiology. Here we investigate the effect of third and subsequent infections on the transmission dynamics of dengue and show that although the qualitative patterns are largely equivalent, the system more readily exhibits the desynchronised serotype oscillations and multi-annual epidemic outbreaks upon their inclusion. More importantly, permitting third and fourth infections significantly increases the force of infection without resorting to high basic reproductive numbers. Realistic age-prevalent patterns and seroconversion rates are therefore easier reconciled with a low value of dengue's transmission potential if allowing for more than two infections; this should have important consequences for dengue control and intervention measures.

[1]  Mario Recker,et al.  The generation of influenza outbreaks by a network of host immune responses against a limited set of antigenic types , 2007, Proceedings of the National Academy of Sciences.

[2]  Bob W. Kooi,et al.  Epidemiology of Dengue Fever: A Model with Temporary Cross-Immunity and Possible Secondary Infection Shows Bifurcations and Chaotic Behaviour in Wide Parameter Regions , 2008 .

[3]  Pejman Rohani,et al.  Ecological and immunological determinants of dengue epidemics. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[4]  W. Hausermann,et al.  Dispersal and other population parameters of Aedes aegypti in an African village and their possible significance in epidemiology of vector-borne diseases. , 1986, The American journal of tropical medicine and hygiene.

[5]  Katia Koelle,et al.  Decreases in dengue transmission may act to increase the incidence of dengue hemorrhagic fever , 2008, Proceedings of the National Academy of Sciences.

[6]  I M Longini,et al.  Determinants and predictors of dengue infection in Mexico. , 1991, American journal of epidemiology.

[7]  A. Nisalak,et al.  Temporal trends of dengue fever/dengue hemorrhagic fever in Bangkok, Thailand from 1981 to 2000: an age-period-cohort analysis. , 2004, The Southeast Asian journal of tropical medicine and public health.

[8]  Ira B Schwartz,et al.  Dynamic effects of antibody-dependent enhancement on the fitness of viruses. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[9]  S. Halstead In vivo enhancement of dengue virus infection in rhesus monkeys by passively transferred antibody. , 1979, The Journal of infectious diseases.

[10]  A. Nisalak,et al.  Burden of symptomatic dengue infection in children at primary school in Thailand: a prospective study , 2007, The Lancet.

[11]  Richard G Jarman,et al.  Analysis of repeat hospital admissions for dengue to estimate the frequency of third or fourth dengue infections resulting in admissions and dengue hemorrhagic fever, and serotype sequences. , 2007, The American journal of tropical medicine and hygiene.

[12]  M. St. Claire,et al.  Monoclonal antibody-mediated enhancement of dengue virus infection in vitro and in vivo and strategies for prevention , 2007, Proceedings of the National Academy of Sciences.

[13]  E. Harris,et al.  High seroprevalence of antibodies against dengue virus in a prospective study of schoolchildren in Managua, Nicaragua , 2006, Tropical medicine & international health : TM & IH.

[14]  S. Gupta,et al.  Antigenic diversity and the transmission dynamics of Plasmodium falciparum. , 1994, Science.

[15]  T. Scott,et al.  Dispersal of the dengue vector Aedes aegypti within and between rural communities. , 2005, The American journal of tropical medicine and hygiene.

[16]  Sunetra Gupta,et al.  A theoretical framework for the immunoepidemiology of Plasmodium falciparum malaria , 1994, Parasite immunology.

[17]  Michael B Nathan,et al.  Cost-effectiveness of a pediatric dengue vaccine. , 2004, Vaccine.

[18]  E. C. Holmes,et al.  Cross-protective immunity can account for the alternating epidemic pattern of dengue virus serotypes circulating in Bangkok , 2006, Proceedings of the National Academy of Sciences.

[19]  Mario Recker,et al.  Immunological serotype interactions and their effect on the epidemiological pattern of dengue , 2009, Proceedings of the Royal Society B: Biological Sciences.

[20]  Uriel Kitron,et al.  The Role of Human Movement in the Transmission of Vector-Borne Pathogens , 2009, PLoS neglected tropical diseases.

[21]  C. Favier,et al.  Early determination of the reproductive number for vector‐borne diseases: the case of dengue in Brazil , 2006, Tropical medicine & international health : TM & IH.

[22]  Duane J. Gubler,et al.  Dengue and Dengue Hemorrhagic Fever , 1998, Clinical Microbiology Reviews.

[23]  S. Halstead More Dengue, More Questions , 2005, Emerging infectious diseases.

[24]  S. Halstead,et al.  Haiti: absence of dengue hemorrhagic fever despite hyperendemic dengue virus transmission. , 2001, The American journal of tropical medicine and hygiene.

[25]  N M Ferguson,et al.  Transmission dynamics and epidemiology of dengue: insights from age-stratified sero-prevalence surveys. , 1999, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[26]  Ira B Schwartz,et al.  Chaotic desynchronization of multistrain diseases. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

[27]  A. Nisalak,et al.  Dengue viremia titer, antibody response pattern, and virus serotype correlate with disease severity. , 2000, The Journal of infectious diseases.

[28]  Eduardo Massad,et al.  Dengue and the risk of urban yellow fever reintroduction in São Paulo State, Brazil. , 2003, Revista de saude publica.

[29]  N. Ferguson,et al.  The effect of antibody-dependent enhancement on the transmission dynamics and persistence of multiple-strain pathogens. , 1999, Proceedings of the National Academy of Sciences of the United States of America.

[30]  Durrell D. Kapan,et al.  Man Bites Mosquito: Understanding the Contribution of Human Movement to Vector-Borne Disease Dynamics , 2009, PloS one.

[31]  Hirofumi Ishikawa,et al.  A dengue transmission model in Thailand considering sequential infections with all four serotypes. , 2009, Journal of infection in developing countries.

[32]  M. Aye,et al.  Risk factors in dengue shock syndrome. , 1997, The American journal of tropical medicine and hygiene.

[33]  A. Nisalak,et al.  A prospective study of dengue infections in Bangkok. , 1988, The American journal of tropical medicine and hygiene.

[34]  Aidan McDermott,et al.  The Impact of the Demographic Transition on Dengue in Thailand: Insights from a Statistical Analysis and Mathematical Modeling , 2009, PLoS medicine.

[35]  Donald S Burke,et al.  Serotype-specific dengue virus circulation and dengue disease in Bangkok, Thailand from 1973 to 1999. , 2003, The American journal of tropical medicine and hygiene.