Computing human to human avian influenza \(\mathcal{R}_0\) via transmission chains and parameter estimation
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Publication:2160711
DOI10.3934/mbe.2019174zbMath1497.92300OpenAlexW2938197036WikidataQ93200233 ScholiaQ93200233MaRDI QIDQ2160711
Omar Saucedo, Abena Annor, Maia Martcheva
Publication date: 3 August 2022
Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.3934/mbe.2019174
Cites Work
- Unnamed Item
- Alternative to Ritt's pseudodivision for finding the input-output equations of multi-output models
- Determining identifiable parameter combinations using subset profiling
- Branching processes with negative offspring distributions
- An intuitive formulation for the reproductive number for the spread of diseases in heterogeneous populations
- Avian flu pandemic: can we prevent it?
- The structural identifiability of the susceptible infected recovered model with seasonal forcing
- Identifiability and estimation of multiple transmission pathways in cholera and waterborne disease
- Transmission potential of the novel avian influenza A(H7N9) infection in mainland China
- An algorithm for finding globally identifiable parameter combinations of nonlinear ODE models using Gröbner bases
- On Identifiability of Nonlinear ODE Models and Applications in Viral Dynamics
- MODELING SEASONALITY IN AVIAN INFLUENZA H5N1
- Random Parameters in a Simultaneous Equation Framework: Identification and Estimation
- The total progeny in a branching process and a related random walk
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