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Title: | Simulation and Analysis Methods for Stochastic Compartmental Epidemic Models | Authors: | GANYANI, Tapiwa FAES, Christel HENS, Niel |
Issue Date: | 2021 | Publisher: | ANNUAL REVIEWS | Source: | Annual Review of Statistics and Its Application, 8 (1) , p. 69 -88 | Series/Report: | Annual Review of Statistics and Its Application | Abstract: | This article considers simulation and analysis of incidence data using stochastic compartmental models in well-mixed populations. Several simulation approaches are described and compared. Thereafter, we provide an overview of likelihood estimation for stochastic models. We apply one such method to a real-life outbreak data set and compare models assuming different kinds of stochasticity. We also give references for other publications where detailed information on this topic can be found. | Notes: | Ganyani, T (corresponding author), Hasselt Univ, Data Sci Inst, I BioStat, B-3500 Hasselt, Belgium. tapiwa.ganyani@uhasselt.be |
Other: | Ganyani, T (corresponding author), Hasselt Univ, Data Sci Inst, I BioStat, B-3500 Hasselt, Belgium. tapiwa.ganyani@uhasselt.be | Keywords: | stochastic SIR model;stochasticity;simulation;estimation;epidemic modeling | Document URI: | http://hdl.handle.net/1942/34130 | ISSN: | 2326-8298 | e-ISSN: | 2326-831X | DOI: | 10.1146/annurev-statistics-061120-034438 | ISI #: | WOS:000627718500004 | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2022 |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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Manuscript__Simulation_and_analysis_methods_for_stochastic_epidemic_models_Final-4.pdf | Peer-reviewed author version | 530.87 kB | Adobe PDF | View/Open |
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