title: Modelling seasonal influenza in Israel.
abstract: Mathematical modeling approaches are used to study the epidemic dynamics of seasonal influenza in Israel. The recent availability of highly resolved ten year timeseries of influenza cases provides an opportunity for modeling and estimating important epidemiological parameters in the Israeli population. A simple but well known SIR discrete-time deterministic model was fitted to consecutive epidemics allowing estimation of the initial number of susceptibles in the population S0, as well as the reproductive number R0 each year. The results were corroborated by implementing a stochastic model and using a maximum likelihood approach. The paper discusses the difficulties in estimating these important parameters especially when the reporting rate of influenza cases might only be known with limited accuracy, as is generally the case. In such situations invariant parameters such as the percentage of susceptibles infected, and the effective reproductive rate might be preferred, as they do not depend on reporting rate. Results are given based on the Israeli timeseries.
authors.affiliation: Biomathematics Unit, Department of Zoology, Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel. oren.barnea@gmail.com
authors.forename: Oren
authors.initials: O
authors.lastname: Barnea
authors.forename: Rami
authors.initials: R
authors.lastname: Yaari
authors.forename: Guy
authors.initials: G
authors.lastname: Katriel
authors.forename: Lewi
authors.initials: L
authors.lastname: Stone
mesh_terms: D003198:Computer Simulation; D004196:Disease Outbreaks / Q000706:statistics & numerical data*; D006801:Humans; D007251:Influenza, Human / Q000453:epidemiology*; D007557:Israel / Q000453:epidemiology; D008954:Models, Biological; D015995:Prevalence; D018570:Risk Assessment; D012307:Risk Factors; D012621:Seasons; D013269:Stochastic Processes