Affiliation:
1. ITMO University , Saint-Petersburg , Russia
Abstract
Abstract
In the present paper, we consider a compartmental epidemic model which simulates the co-circulation of three influenza strains, A(H1N1)pdm09, A(H3N2), and B, in a population with the history of exposure to these virus strains. A strain-specific incidence data for the model input was generated using long-term weekly ARI incidence and virologic testing data. The algorithm for model calibration was developed as a combination of simulated annealing and BFGS optimization methods. Two simulations were carried out, assuming the absence and the presence of protected individuals in the population, with 2017– 2018 and 2018–2019 epidemic seasons in Moscow as a case study. It was shown that strain-specific immune levels defined by virologic studies might be used in the model to obtain plausible incidence curves. However, different output parameter values, such as fractions of individuals exposed to particular virus strain in the previous epidemic season, can correspond to similar incidence trajectories, which complicates the assessment of herd immunity levels based on the model calibration. The results of the study will be used in the research of the interplay between the immunity formation dynamics and the circulation of influenza strains in Russian cities.
Subject
Modeling and Simulation,Numerical Analysis
Reference36 articles.
1. A. Aguirre and E. Gonzalez, The feasibility of forecasting influenza epidemics in Cuba. Memorias do Instituto Oswaldo Cruz 87 (1992), No. 3, 429–432.
2. M. Ajelli and M. Litvinova, Estimating contact patterns relevant to the spread of infectious diseases in Russia. J. Theor. Biology 419 (2017), 1–7.
3. M. Baguelin, S. Flasche, A. Camacho, N. Demiris, E. Miller, and W. J. Edmunds, Assessing optimal target populations for influenza vaccination programmes: an evidence synthesis and modelling study. PLoS Medicine 10 (2013), No. 10, e1001527.
4. O. V. Baroyan, U. V. Basilevsky, V. V. Ermakov, K. D. Frank, L. A. Rvachev, and V. A. Shashkov, Computer modelling of influenza epidemics for large-scale systems of cities and territories. In: Proc. WHO Symposium on Quantitative Epidemiology, Moscow 1970.
5. CDC, People with heart disease and those who have had a stroke are at high risk of developing complications from influenza (the Flu). http://www.cdc.gov/flu/heartdisease/
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