Scaling of Stochasticity in Dengue Hemorrhagic Fever Epidemics
Mathematical modelling of natural phenomena, Tome 7 (2012) no. 3, pp. 1-11.

Voir la notice de l'article provenant de la source EDP Sciences

In this paper we analyze the stochastic version of a minimalistic multi-strain model, which captures essential differences between primary and secondary infections in dengue fever epidemiology, and investigate the interplay between stochasticity, seasonality and import. The introduction of stochasticity is needed to explain the fluctuations observed in some of the available data sets, revealing a scenario where noise and complex deterministic skeleton strongly interact. For large enough population size, the stochastic system can be well described by the deterministic skeleton gaining insight on the relevant parameter values purely on topological information of the dynamics, rather than classical parameter estimation of which application is in general restricted to fairly simple dynamical scenarios.
DOI : 10.1051/mmnp/20127301

M. Aguiar 1, 2 ; B.W. Kooi 3 ; J. Martins 4 ; N. Stollenwerk 1

1 Centro de Matemática e Aplicações Fundamentais da Universidade de Lisboa Avenida Professor Gama Pinto 2, 1649-003 Lisboa, Portugal
2 Fundação Ezequiel Dias, Serviço de Virologia e Riquetisioses, Laboratório de dengue e febre amarela Rua Conde Pereira Carneiro 80, 30510-010 Belo Horizonte-MG, Brazil
3 Faculty of Earth and Life Sciences, Department of Theoretical Biology, Vrije Universiteit, De Boelelaan 1087, NL 1081 HV Amsterdam, The Netherlands
4 Department of Mathematics, School of Technology and Management, Polytechnic Institute of Leiria Campus 2, Morro do Lena, Alto do Vieiro, 2411-901 Leiria, Portugal
@article{MMNP_2012_7_3_a0,
     author = {M. Aguiar and B.W. Kooi and J. Martins and N. Stollenwerk},
     title = {Scaling of {Stochasticity} in {Dengue} {Hemorrhagic} {Fever} {Epidemics}},
     journal = {Mathematical modelling of natural phenomena},
     pages = {1--11},
     publisher = {mathdoc},
     volume = {7},
     number = {3},
     year = {2012},
     doi = {10.1051/mmnp/20127301},
     language = {en},
     url = {http://geodesic.mathdoc.fr/articles/10.1051/mmnp/20127301/}
}
TY  - JOUR
AU  - M. Aguiar
AU  - B.W. Kooi
AU  - J. Martins
AU  - N. Stollenwerk
TI  - Scaling of Stochasticity in Dengue Hemorrhagic Fever Epidemics
JO  - Mathematical modelling of natural phenomena
PY  - 2012
SP  - 1
EP  - 11
VL  - 7
IS  - 3
PB  - mathdoc
UR  - http://geodesic.mathdoc.fr/articles/10.1051/mmnp/20127301/
DO  - 10.1051/mmnp/20127301
LA  - en
ID  - MMNP_2012_7_3_a0
ER  - 
%0 Journal Article
%A M. Aguiar
%A B.W. Kooi
%A J. Martins
%A N. Stollenwerk
%T Scaling of Stochasticity in Dengue Hemorrhagic Fever Epidemics
%J Mathematical modelling of natural phenomena
%D 2012
%P 1-11
%V 7
%N 3
%I mathdoc
%U http://geodesic.mathdoc.fr/articles/10.1051/mmnp/20127301/
%R 10.1051/mmnp/20127301
%G en
%F MMNP_2012_7_3_a0
M. Aguiar; B.W. Kooi; J. Martins; N. Stollenwerk. Scaling of Stochasticity in Dengue Hemorrhagic Fever Epidemics. Mathematical modelling of natural phenomena, Tome 7 (2012) no. 3, pp. 1-11. doi : 10.1051/mmnp/20127301. http://geodesic.mathdoc.fr/articles/10.1051/mmnp/20127301/

[1] Centers for Disease Control and Prevention. Dengue, (2011). Retrieved from http://www.cdc.gov/dengue/

[2] D. Alonso, A. Mckane, M. Pascual Journal of the Royal Society Interface 2006 575 582

[3] D. J. Gubler Trends in Microbiology 2002 100 103

[4] D. T. Gillespie Journal of Computational Physics 1976 403 434

[5] D. T. Gillespie Journal of Computational Physics 1978 395 407

[6] J. D. Gubler, W. Suharyono, R. Tan, M. Abidin, A. Sie Bull. World Health Organ. 1981 623 630

[7] J. E. Doedel, B. Oldeman. AUTO 07P - Continuation and bifurcation software for ordinary differential equations. Technical Report : Concordia University, Montreal, Canada, (2009). Retrieved from http://indy.cs.concordia.ca/auto/

[8] J. S. Mackenzie, D. J. Gubler, L. R. Petersen Nature Medicine Review 2004 S98 S109

[9] M. Aguiar, B. W. Kooi, N. Stollenwerk Math. Model. Nat. Phenom. 2008 48 70

[10] M. Aguiar, N. Stollenwerk, B. W. Kooi International Journal of Computer Mathematics 2009 1867 1877

[11] M. Aguiar, S. Ballesteros, B. W. Kooi, N. Stollenwerk. 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. Accepted for publication in Journal of Theoretical Biology, (2011).

[12] M. G. Guzmán Nature Reviews Microbiology 2010 S7 S16

[13] M. J. Keeling, J. V. Ross Journal of the Royal Society Interface 2008 171 181

[14] N. Ferguson, R. Anderson, S. Gupta Proc. Natl. Acad. Sci. USA 1999 790 94

[15] N. G. van Kampen. Stochastic Processes in Physics and Chemistry. (North-Holland, Amsterdam, 1992).

[16] N. Stollenwerk, V. A. A. Jansen Physics Letters A 2003 87 96

[17] N. Stollenwerk, M. C. J. Maiden, V. A. A. Jansen Proc. Natl. Acad. Sci. USA 2004 10229 10234

[18] N. Stollenwerk, V. V. A. Jansen. Population biology and criticality (Imperial College Press, London, 2010).

[19] O. Chareonsook Epidemiol. Infect. 1999 161 166

[20] Pediatric Dengue Vaccine Initiative. International Vaccine Institute (IVI). Global Burden of Dengue, (2011). Retrieved from http://www.pdvi.org/about_dengue/GBD.asp

[21]

[22] United Nations Population Division World Urbanization Prospects : The 2009 Revision Population Database, (2011). Retrieved from http://www.un.org/esa/population/unpop.htm

[23] S. B. Halstead Am. J. Trop. Med. Hyg. 1969 1022 33

[24] S. B. Halstead. Antibody-dependent Enhancement of Infection : A Mechanism for Indirect Virus Entry into Cells. Cellular Receptors for Animal Viruses, 28, Chapter 25, 493–516. (Cold Spring Harbor Laboratory Press, 1994).

[25] S. B. Halstead Progress in Allergy 1982 301 364

[26] S. B. Halstead Advances in Virus Research 2003 421 467

[27] S. Matheus Journal of Clinical Microbiology 2005 2793 2797

[28] W. Dejnirattisai Science 2010 745 748

[29] Wikipedia contributors. Wikipedia, The Free Encyclopedia. Provinces of Thailand, (2011). Retrieved from http://en.wikipedia.org/wiki/Provinces_of_Thailand

[30] World Health Organization. Dengue and Dengue Hemorrhagic Fever, Fact sheet 117, (2009). Retrieved from http://www.who.int/mediacentre/factsheets/fs117/en/

[31] Y. Nagao, K. Koelle Proc. Natl. Acad. Sci 2008 2238 2243

Cité par Sources :