Epidemic spread of influenza viruses: The impact of transient populations on disease dynamics
| Autor: | Baojun Song, Karen R. Ríos-Soto, Carlos Castillo-Chavez |
|---|---|
| Rok vydání: | 2011 |
| Předmět: |
Range (biology)
Swine Metapopulation Disease Biology medicine.disease_cause Birds Zoonoses Pandemic Influenza Human medicine Animals Humans Computer Simulation Swine Diseases Transmission (medicine) Ecology Applied Mathematics Models Immunological Outbreak General Medicine Influenza A virus subtype H5N1 Computational Mathematics Influenza A virus Modeling and Simulation Influenza in Birds Biological dispersal Animal Migration General Agricultural and Biological Sciences |
| Zdroj: | Mathematical biosciences and engineering : MBE. 8(1) |
| ISSN: | 1551-0018 |
| Popis: | The recent H1N1 ("swine flu") pandemic and recent H5N1 ("avian flu") outbreaks have brought increased attention to the study of the role of animal populations as reservoirs for pathogens that could invade human populations. It is believed that pigs acquired flu strains from birds and humans, acting as a mixing vessel in generating new influenza viruses. Assessing the role of animal reservoirs, particularly reservoirs involving highly mobile populations (like migratory birds), on disease dispersal and persistence is of interests to a wide range of researchers including public health experts and evolutionary biologists. This paper studies the interactions between transient and resident bird populations and their role on dispersal and persistence. A metapopulation framework based on a system of nonlinear ordinary differential equations is used to study the transmission dynamics and control of avian diseases. Simplified versions of mathematical models involving a limited number of migratory and resident bird populations are analyzed. Epidemiological time scales and singular perturbation methods are used to reduce the dimensionality of the model. Our results show that mixing of bird populations (involving residents and migratory birds) play an important role on the patterns of disease spread. |
| Databáze: | OpenAIRE |
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