Onkhonova G, Gudymo A, Kosenko M, Marchenko V, Ryz. Quantitative measurement of influenza virus transmission in animal model: an overview of current state. Biophys Rev. 2023 Sep 7;15(5):1359-1366
Influenza virus transmission is a crucial factor in understanding the spread of the virus within populations and developing effective control strategies. Studying the transmission patterns of influenza virus allows for better risk assessment and prediction of disease outbreaks. By monitoring the spread of the virus and identifying high-risk populations and geographic areas, it is possible to allocate resources more effectively, implement timely interventions, and provide targeted healthcare interventions to diminish the burden of influenza virus on vulnerable populations. Theoretical models of virus transmission are used to study and simulate of influenza virus spread within populations. These models aim to capture the complex dynamics of transmission, including factors such as population size, contact patterns, infectiousness, and susceptibility. Animal models serve as valuable tools for studying the dynamics of influenza virus transmission. This article presents a brief overview of existing research on the qualitative and quantitative study of influenza virus transmission in animal models. We discuss the methodologies employed, key insights gained from these studies, and their relevance.
See Also:
Latest articles in those days:
- Risk of infection of dairy cattle in the EU with highly pathogenic avian influenza virus affecting dairy cows in the United States of America (H5N1, Eurasian lineage goose/Guangdong clade 2.3.4.4b. ge 8 hours ago
- Avian influenza overview September - November 2025 8 hours ago
- [preprint]Airway organoids reveal patterns of Influenza A tropism and adaptation in wildlife species 9 hours ago
- Cats are more susceptible to the prevalent H3 subtype influenza viruses than dogs 11 hours ago
- Overview of high pathogenicity avian influenza H5N1 clade 2.3.4.4b in wildlife from Central and South America, October 2022-September 2025 11 hours ago
[Go Top] [Close Window]


