A mathematical model of avian influenza with half-saturated incidence

The widespread impact of avian influenza viruses not only poses risks to birds, but also to humans. The viruses spread from birds to humans and from human to human In addition, mutation in the primary strain will increase the infectiousness of avian influenza. We developed a mathematical model of avian influenza for both bird and human populations. The effect of half-saturated incidence on transmission dynamics of the disease is investigated. The half-saturation constants determine the levels at which birds and humans contract avian influenza. To prevent the spread of avian influenza, the associated half-saturation constants must be increased, especially the half-saturation constant Hm for humans with mutant strain. The quantity Hm plays an essential role in determining the basic reproduction number of this model. Furthermore, by decreasing the rate βm at which human-to-human mutant influenza is contracted, an outbreak can be controlled more effectively. To combat the outbreak, we propose both pharmaceutical (vaccination) and non-pharmaceutical (personal protection and isolation) control methods to reduce the transmission of avian influenza. Vaccination and personal protection will decrease βm, while isolation will increase Hm. Numerical simulations demonstrate that all proposed control strategies will lead to disease eradication; however, if we only employ vaccination, it will require slightly longer to eradicate the disease than only applying non-pharmaceutical or a combination of pharmaceutical and non-pharmaceutical control methods. In conclusion, it is important to adopt a combination of control methods to fight an avian influenza outbreak.

[1]  A. Nizam,et al.  Containing pandemic influenza with antiviral agents. , 2004, American journal of epidemiology.

[2]  B. Levin,et al.  Antiviral Resistance and the Control of Pandemic Influenza , 2007, PLoS medicine.

[3]  Feng Zhang,et al.  Global stability of an SIR epidemic model with constant infectious period , 2008, Appl. Math. Comput..

[4]  Junyuan Yang,et al.  A Class of SIR Epidemic Model with Saturation Incidence and Age of Infection , 2008, SNPD.

[5]  Roy M. Anderson,et al.  REGULATION AND STABILITY OF HOST-PARASITE POPULATION INTERACTIONS , 1978 .

[6]  R. May,et al.  Regulation and Stability of Host-Parasite Population Interactions: I. Regulatory Processes , 1978 .

[7]  Chunjin Wei,et al.  A Delayed Epidemic Model with Pulse Vaccination , 2008 .

[8]  J. Hyman,et al.  Transmission Dynamics of the Great Influenza Pandemic of 1918 in Geneva, Switzerland: Assessing the Effects of Hypothetical Interventions , 2022 .

[9]  Rui Xu,et al.  A DELAYED SIR EPIDEMIC MODEL WITH NONLINEAR INCIDENCE RATE AND PULSE VACCINATION , 2010 .

[10]  Murray E. Alexander,et al.  A Delay Differential Model for Pandemic Influenza with Antiviral Treatment , 2007, Bulletin of mathematical biology.

[11]  E. D. Kilbourne Influenza Pandemics of the 20th Century , 2006, Emerging infectious diseases.

[12]  Gail E. Potter,et al.  The Transmissibility and Control of Pandemic Influenza A (H1N1) Virus , 2009, Science.

[13]  M. E. Alexander,et al.  A Vaccination Model for Transmission Dynamics of Influenza , 2004, SIAM J. Appl. Dyn. Syst..

[14]  Ai Wu,et al.  A P2P Architecture for Large-scale VoD Service , 2007 .

[15]  Xingbo Liu,et al.  Stability analysis of an SEIQV epidemic model with saturated incidence rate , 2012 .

[16]  Abdelilah Kaddar,et al.  Stability analysis in a delayed SIR epidemic model with a saturated incidence rate , 2010 .

[17]  Shigui Ruan,et al.  Dynamical behavior of an epidemic model with a nonlinear incidence rate , 2003 .

[18]  Yu-Jiun Chan,et al.  Seroprevalence of Antibodies to Pandemic (H1N1) 2009 Influenza Virus Among Hospital Staff in a Medical Center in Taiwan , 2010, Journal of the Chinese Medical Association.

[19]  Abba B. Gumel,et al.  Global dynamics of a two-strain avian influenza model , 2009, Int. J. Comput. Math..

[20]  J. Watmough,et al.  Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission. , 2002, Mathematical biosciences.

[21]  A. Gumel,et al.  Assessing the role of basic control measures, antivirals and vaccine in curtailing pandemic influenza: scenarios for the US, UK and the Netherlands , 2007, Journal of The Royal Society Interface.

[22]  Xianning Liu,et al.  Avian-human influenza epidemic model. , 2007, Mathematical biosciences.

[23]  Takafumi Suzuki,et al.  Paradox of Vaccination: Is Vaccination Really Effective against Avian Flu Epidemics? , 2009, PloS one.

[24]  Huaiping Zhu,et al.  A mathematical model for assessing control strategies against West Nile virus , 2005, Bulletin of mathematical biology.

[25]  J. Farrar,et al.  Pandemic response lessons from influenza H1N1 2009 in Asia , 2011, Respirology.

[26]  Jing Li,et al.  The Failure of R 0 , 2011, Computational and mathematical methods in medicine.

[27]  G. Serio,et al.  A generalization of the Kermack-McKendrick deterministic epidemic model☆ , 1978 .

[28]  K. Kraay,et al.  The failure , 2020, Trust in Divided Societies.

[29]  Shujing Gao,et al.  Analysis of a delayed epidemic model with pulse vaccination and saturation incidence. , 2006, Vaccine.

[30]  C. Stuart-harris,et al.  Epidemiology of influenza in man. , 1979, British medical bulletin.

[31]  Hanwu Liu,et al.  Stability of periodic solutions for an SIS model with pulse vaccination , 2003 .

[32]  Yann Le Strat,et al.  Influenza pandemic preparedness in France: modelling the impact of interventions , 2006, Journal of Epidemiology and Community Health.

[33]  Chris T Bauch,et al.  The impact of media coverage on the transmission dynamics of human influenza , 2011, BMC public health.

[34]  M. Cecchinato,et al.  Use of Vaccination in Avian Influenza Control and Eradication , 2008, Zoonoses and public health.

[35]  L. Perko Differential Equations and Dynamical Systems , 1991 .

[36]  Abdelilah Kaddar,et al.  On the dynamics of a delayed SIR epidemic model with a modified saturated incidence rate , 2009 .