A two-age-classes dengue transmission model.

In this paper, we discuss a two-age-classes dengue transmission model with vaccination. The reason to divide the human population into two age classes is for practical purpose, as vaccination is usually concentrated in one age class. We assume that a constant rate of individuals in the child-class is vaccinated. We analyze a threshold number which is equivalent to the basic reproduction number. If there is an undeliberate vaccination to infectious children, which worsens their condition as the time span of being infectious increases, then paradoxically, vaccination can be counter productive. The paradox, stating that vaccination makes the basic reproduction number even bigger, can occur if the worsening effect is greater than a certain threshold, a function of the human demographic and epidemiological parameters, which is independent of the level of vaccination. However, if the worsening effect is to increase virulence so that one will develop symptoms, then the vaccination is always productive. In both situations, screening should take place before vaccination. In general, the presence of class division has obscured the known rule of thumb for vaccination.

[1]  Mimmo Iannelli,et al.  Strain replacement in an epidemic model with super-infection and perfect vaccination. , 2005, Mathematical biosciences.

[2]  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.

[3]  C. Huang,et al.  Development of New Vaccines against Dengue Fever and Japanese Encephalitis , 2001, Intervirology.

[4]  D. Gubler Epidemic dengue/dengue hemorrhagic fever as a public health, social and economic problem in the 21st century. , 2002, Trends in microbiology.

[5]  Tom Clarke,et al.  Dengue virus: Break-bone fever , 2002, Nature.

[6]  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.

[7]  M. Guzmán,et al.  Dengue: an update. , 2002, The Lancet. Infectious diseases.

[8]  J. Heesterbeek,et al.  Vector‐borne diseases and the basic reproduction number: a case study of African horse sickness , 1996, Medical and veterinary entomology.

[9]  J. Patumanond,et al.  Dengue Hemorrhagic Fever, Uttaradit, Thailand , 2003, Emerging infectious diseases.

[10]  M. G. Roberts,et al.  A new method for estimating the effort required to control an infectious disease , 2003, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[11]  J. Velasco-Hernández,et al.  Competitive exclusion in a vector-host model for the dengue fever , 1997, Journal of mathematical biology.

[12]  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.

[13]  O. Diekmann Mathematical Epidemiology of Infectious Diseases , 1996 .

[14]  D. Gubler,et al.  Dengue Prevention and 35 Years of Vector Control in Singapore , 2006, Emerging infectious diseases.

[15]  P. Reiter,et al.  A model of the transmission of dengue fever with an evaluation of the impact of ultra-low volume (ULV) insecticide applications on dengue epidemics. , 1992, The American journal of tropical medicine and hygiene.

[16]  J A P Heesterbeek,et al.  The type-reproduction number T in models for infectious disease control. , 2007, Mathematical biosciences.

[17]  A. Boutayeb,et al.  A model of dengue fever , 2003, Biomedical engineering online.

[18]  E Massad,et al.  The risk of yellow fever in a dengue-infested area. , 2001, Transactions of the Royal Society of Tropical Medicine and Hygiene.

[19]  J. Gonzalez,et al.  Dengue Haemorrhagic Fever in Thailand, 1998-2003: Primary or Secondary Infection , 2003 .

[20]  Lourdes Esteva,et al.  Coexistence of different serotypes of dengue virus , 2003, Journal of mathematical biology.

[21]  E Massad,et al.  Vaccination against rubella: analysis of the temporal evolution of the age-dependent force of infection and the effects of different contact patterns. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

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

[23]  L. Esteva,et al.  Analysis of a dengue disease transmission model. , 1998, Mathematical biosciences.

[24]  M. Bangs,et al.  Epidemic dengue transmission in southern Sumatra, Indonesia. , 2001, Transactions of the Royal Society of Tropical Medicine and Hygiene.

[25]  Alexander Grey,et al.  The Mathematical Theory of Infectious Diseases and Its Applications , 1977 .

[26]  Norman T. J. Bailey,et al.  The Mathematical Theory of Infectious Diseases , 1975 .

[27]  P Pongsumpun,et al.  A realistic age structured transmission model for dengue hemorrhagic fever in Thailand. , 2001, The Southeast Asian journal of tropical medicine and public health.

[28]  D. Gubler,et al.  Epidemic dengue 3 in central Java, associated with low viremia in man. , 1981, The American journal of tropical medicine and hygiene.

[29]  Nicolas Bacaër,et al.  The epidemic threshold of vector-borne diseases with seasonality , 2006, Journal of mathematical biology.

[30]  M. Guzmán,et al.  Dengue 3 Epidemic, Havana, 2001 , 2004, Emerging infectious diseases.

[31]  Thornton C. Fry,et al.  Industrial Mathematics , 1941, Encyclopedia of Creativity, Invention, Innovation and Entrepreneurship.

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

[33]  Lourdes Esteva,et al.  A model for dengue disease with variable human population , 1999, Journal of mathematical biology.

[34]  L. Esteva,et al.  Influence of vertical and mechanical transmission on the dynamics of dengue disease. , 2000, Mathematical biosciences.

[35]  E. Massad,et al.  The basic reproduction number for dengue fever in São Paulo state, Brazil: 1990-1991 epidemic. , 1994, Transactions of the Royal Society of Tropical Medicine and Hygiene.

[36]  P. Pongsumpun,et al.  Transmission of dengue hemorrhagic fever in an age structured population , 2003 .

[37]  Wei-June Chen,et al.  Silent transmission of the dengue virus in southern Taiwan. , 1996, The American journal of tropical medicine and hygiene.

[38]  Bachti Alisjahbana,et al.  Epidemiology of dengue and dengue hemorrhagic fever in a cohort of adults living in Bandung, West Java, Indonesia. , 2005, The American journal of tropical medicine and hygiene.

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

[40]  J. Botella de Maglia,et al.  [Prevention of malaria]. , 1999, Revista clinica espanola.

[41]  W. O. Kermack,et al.  Contributions to the mathematical theory of epidemics—II. The problem of endemicity , 1991, Bulletin of mathematical biology.

[42]  Christophe E. Menkès,et al.  Une nouvelle méthode d'estimation du taux de reproduction des maladies (Ro) : application à l'étude des épidémies de Dengue dans le District Fédéral, Brésil , 2005 .