The Dynamics of a SEIR-SIRC Antigenic Drift Influenza Model
We consider the dynamics of an influenza model with antigenic drift mechanism. Antigenic drift is an antigen mutation on the skin surface of the influenza virus that do not produce a new virus strain. The mutation produces the same virus but with slightly different antigens that cannot be recognized by the immune receptors formed by the previous infection. There are some type of influenza that involve the interaction between two populations such as human and animal. In this paper, we construct an influenza model with antigenic drift mechanism on the human population that has interaction with the animal population. The animal population is assumed to follow the SEIR epidemic model. Our model is motivated by the fact that some of the influenza cases in human come from the animal such as the swine and the avian. The transmission parameter that shows number of contact between the susceptible human and the infectious animals are important to study. The parameter plays an important role to detect the cycle of infection of the disease. The other important parameters are the seasonality degree, which shows the pathogen appearance and disappearance via annual migration, and the infection rate on the human population. We employ the bifurcation theory to analyze the behavior of the system and to detect the cycle of infection types when the parameters values are varied..
| Medienart: |
Artikel |
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| Erscheinungsjahr: |
2017 |
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| Erschienen: |
2017 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:79 |
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| Enthalten in: |
Bulletin of mathematical biology - 79(2017), 6, Seite 1412 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Fajar Adi-Kusumo [VerfasserIn] |
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| Links: |
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| doi: |
10.1007/s11538-017-0290-5 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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OLC1994435844 |
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| 245 | 1 | 4 | |a The Dynamics of a SEIR-SIRC Antigenic Drift Influenza Model |
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| 520 | |a We consider the dynamics of an influenza model with antigenic drift mechanism. Antigenic drift is an antigen mutation on the skin surface of the influenza virus that do not produce a new virus strain. The mutation produces the same virus but with slightly different antigens that cannot be recognized by the immune receptors formed by the previous infection. There are some type of influenza that involve the interaction between two populations such as human and animal. In this paper, we construct an influenza model with antigenic drift mechanism on the human population that has interaction with the animal population. The animal population is assumed to follow the SEIR epidemic model. Our model is motivated by the fact that some of the influenza cases in human come from the animal such as the swine and the avian. The transmission parameter that shows number of contact between the susceptible human and the infectious animals are important to study. The parameter plays an important role to detect the cycle of infection of the disease. The other important parameters are the seasonality degree, which shows the pathogen appearance and disappearance via annual migration, and the infection rate on the human population. We employ the bifurcation theory to analyze the behavior of the system and to detect the cycle of infection types when the parameters values are varied. | ||
| 650 | 4 | |a Swine | |
| 650 | 4 | |a Animals | |
| 650 | 4 | |a Epidemics | |
| 650 | 4 | |a Skin | |
| 650 | 4 | |a Mathematical models | |
| 650 | 4 | |a Animal populations | |
| 650 | 4 | |a Viruses | |
| 650 | 4 | |a Receptors | |
| 650 | 4 | |a Migration | |
| 650 | 4 | |a Strain | |
| 650 | 4 | |a Dynamics | |
| 650 | 4 | |a Livestock | |
| 650 | 4 | |a Influenza | |
| 650 | 4 | |a Human behavior | |
| 650 | 4 | |a Antigens | |
| 650 | 4 | |a Antigenic drift | |
| 650 | 4 | |a Infectious diseases | |
| 650 | 4 | |a Bifurcation theory | |
| 650 | 4 | |a Drift | |
| 650 | 4 | |a Seasonal variations | |
| 650 | 4 | |a Mutation | |
| 650 | 4 | |a Populations | |
| 650 | 4 | |a Infections | |
| 773 | 0 | 8 | |i Enthalten in |t Bulletin of mathematical biology |d New York, NY : Springer, 1973 |g 79(2017), 6, Seite 1412 |w (DE-627)129391719 |w (DE-600)184905-0 |w (DE-576)014776863 |x 0007-4985 |7 nnns |
| 773 | 1 | 8 | |g volume:79 |g year:2017 |g number:6 |g pages:1412 |
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