Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/34130
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | GANYANI, Tapiwa | - |
dc.contributor.author | FAES, Christel | - |
dc.contributor.author | HENS, Niel | - |
dc.date.accessioned | 2021-05-28T17:40:43Z | - |
dc.date.available | 2021-05-28T17:40:43Z | - |
dc.date.issued | 2021 | - |
dc.date.submitted | 2021-05-04T11:32:17Z | - |
dc.identifier.citation | Annual Review of Statistics and Its Application, 8 (1) , p. 69 -88 | - |
dc.identifier.uri | http://hdl.handle.net/1942/34130 | - |
dc.description.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. | - |
dc.description.sponsorship | The computational resources and services used in this work were provided by the VSC (Flemish Supercomputer Center), funded by the Research Foundation-Flanders (FWO) and the Flemish Government department EWI. | - |
dc.language.iso | en | - |
dc.publisher | ANNUAL REVIEWS | - |
dc.relation.ispartofseries | Annual Review of Statistics and Its Application | - |
dc.subject.other | stochastic SIR model | - |
dc.subject.other | stochasticity | - |
dc.subject.other | simulation | - |
dc.subject.other | estimation | - |
dc.subject.other | epidemic modeling | - |
dc.title | Simulation and Analysis Methods for Stochastic Compartmental Epidemic Models | - |
dc.type | Journal Contribution | - |
dc.identifier.epage | 88 | - |
dc.identifier.issue | 1 | - |
dc.identifier.spage | 69 | - |
dc.identifier.volume | 8 | - |
local.format.pages | 20 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.notes | Ganyani, T (corresponding author), Hasselt Univ, Data Sci Inst, I BioStat, B-3500 Hasselt, Belgium. | - |
dc.description.notes | tapiwa.ganyani@uhasselt.be | - |
dc.description.other | Ganyani, T (corresponding author), Hasselt Univ, Data Sci Inst, I BioStat, B-3500 Hasselt, Belgium. tapiwa.ganyani@uhasselt.be | - |
local.publisher.place | 4139 EL CAMINO WAY, PO BOX 10139, PALO ALTO, CA 94303-0897 USA | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
dc.identifier.doi | 10.1146/annurev-statistics-061120-034438 | - |
dc.identifier.isi | WOS:000627718500004 | - |
local.provider.type | wosris | - |
local.uhasselt.uhpub | yes | - |
local.description.affiliation | [Ganyani, Tapiwa; Faes, Christel; Hens, Niel] Hasselt Univ, Data Sci Inst, I BioStat, B-3500 Hasselt, Belgium. | - |
local.description.affiliation | [Hens, Niel] Univ Antwerp, Vaccine & Infect Dis Inst, Ctr Hlth Econ Res & Modelling Infect Dis CHERMID, B-2610 Antwerp, Belgium. | - |
local.uhasselt.international | no | - |
item.validation | ecoom 2022 | - |
item.contributor | GANYANI, Tapiwa | - |
item.contributor | FAES, Christel | - |
item.contributor | HENS, Niel | - |
item.accessRights | Open Access | - |
item.fullcitation | GANYANI, Tapiwa; FAES, Christel & HENS, Niel (2021) Simulation and Analysis Methods for Stochastic Compartmental Epidemic Models. In: Annual Review of Statistics and Its Application, 8 (1) , p. 69 -88. | - |
item.fulltext | With Fulltext | - |
crisitem.journal.issn | 2326-8298 | - |
crisitem.journal.eissn | 2326-831X | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Manuscript__Simulation_and_analysis_methods_for_stochastic_epidemic_models_Final-4.pdf | Peer-reviewed author version | 530.87 kB | Adobe PDF | View/Open |
WEB OF SCIENCETM
Citations
7
checked on May 1, 2024
Page view(s)
96
checked on Sep 7, 2022
Download(s)
78
checked on Sep 7, 2022
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.