Time-scale separation and centre manifold analysis describing vector-borne disease dynamics

In vector-borne diseases, the human hosts’ epidemiology often acts on a much slower time scales than the one of the mosquitos transmitting as a vector from human to human, due to their vastly different life cycles. We investigate in how far the fast time scale of the mosquito epidemiology can be slaved by the slower human epidemiology, so that for the understanding of human disease data mainly the dynamics of the human time scale is essential and only slightly perturbed by the mosquito dynamics.

[1]  Andrew Morozov,et al.  From spatially explicit ecological models to mean-field dynamics: The state of the art and perspectives , 2012 .

[2]  Bob W. Kooi,et al.  Torus bifurcations, isolas and chaotic attractors in a simple dengue fever model with ADE and temporary cross immunity , 2008, Int. J. Comput. Math..

[3]  P. Holmes,et al.  Nonlinear Oscillations, Dynamical Systems, and Bifurcations of Vector Fields , 1983, Applied Mathematical Sciences.

[4]  S. Cohen,et al.  Observations related to pathogenesis of dengue hemorrhagic fever. IV. Relation of disease severity to antibody response and virus recovered. , 1970, The Yale journal of biology and medicine.

[5]  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 .

[6]  Pierre Auger,et al.  FAST OSCILLATING MIGRATIONS IN A PREDATOR-PREY MODEL , 1996 .

[7]  Y Eynaud,et al.  Towards a simplification of models using regression trees , 2013, Journal of The Royal Society Interface.

[8]  Nico Stollenwerk,et al.  The role of seasonality and import in a minimalistic multi-strain dengue model capturing differences between primary and secondary infections: complex dynamics and its implications for data analysis. , 2011, Journal of theoretical biology.

[9]  Sophie Yacoub,et al.  The pathogenesis of dengue , 2013, Current opinion in infectious diseases.

[10]  S. Halstead,et al.  Observations related to pathogenesis of dengue hemorrhagic fever. 3. Virologic studies of fatal disease. , 1970, The Yale journal of biology and medicine.

[11]  Chang Yc Serological diagnosis of haemorrhagic fever and dengue in Singapore. , 1966 .

[12]  Eric Forgoston,et al.  Accurate noise projection for reduced stochastic epidemic models , 2009, Chaos.

[13]  Pierre Auger,et al.  Aggregation and emergence in ecological modelling: integration of ecological levels , 2000 .

[14]  M. Souza,et al.  Multiscale analysis for a vector-borne epidemic model , 2011, Journal of mathematical biology.

[15]  W. Groß,et al.  Lehrbuch der Analysis , 1915 .

[16]  Nico Stollenwerk,et al.  A new chaotic attractor in a basic multi-strain epidemiological model with temporary cross-immunity , 2007, 0704.3174.

[17]  Eric A Sobie,et al.  An Introduction to Dynamical Systems , 2011, Science Signaling.

[18]  Tri Nguyen-Huu,et al.  Modelling herbivore population dynamics in the Amboseli National Park, Kenya: Application of spatial aggregation of variables to derive a master model , 2012 .

[19]  Hyun Mo Yang,et al.  Follow up estimation of Aedes aegypti entomological parameters and mathematical modellings , 2011, Biosyst..

[20]  N. Beebe,et al.  The dengue vector Aedes aegypti: what comes next. , 2010, Microbes and infection.

[21]  S. A. Robertson,et al.  NONLINEAR OSCILLATIONS, DYNAMICAL SYSTEMS, AND BIFURCATIONS OF VECTOR FIELDS (Applied Mathematical Sciences, 42) , 1984 .