A review of commonly used compartmental models in epidemiology
In order to model an epidemic, different approaches can be adopted. Mainly, the deterministic approach and the stochastic one. Recently, a large amount of literature has been published using the two approaches. The aim of this paper is to illustrate the usual framework used for commonly adopted comp...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | |
| container_start_page | |
| container_title | |
| container_volume | |
| creator | Mehdaoui, Mohamed |
| description | In order to model an epidemic, different approaches can be adopted. Mainly,
the deterministic approach and the stochastic one. Recently, a large amount of
literature has been published using the two approaches. The aim of this paper
is to illustrate the usual framework used for commonly adopted compartmental
models in epidemiology and introduce variant analytic and numerical tools that
interfere on each one of those models, as well as the general related types of
existing, ongoing and future possible contributions. |
| doi_str_mv | 10.48550/arxiv.2110.09642 |
| format | Article |
| fullrecord | <record><control><sourceid>arxiv_GOX</sourceid><recordid>TN_cdi_arxiv_primary_2110_09642</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2110_09642</sourcerecordid><originalsourceid>FETCH-LOGICAL-a672-5639a712dcda3e750a85eb2c6b4618552b05c8a68f3f6f274650c1c273ecc2333</originalsourceid><addsrcrecordid>eNotj8tqwzAURLXpoiT9gK6iH3CqhyU5m0AIbVoIZJO9uZaugkCyjJym9d_n0a6GmcVhDiGvnC3rRin2BuU3XJaC3wa20rV4JusNLXgJ-EOzpzanlPs40e8R3b0NUM4J-zNEmrLDONLQUxyCwxRyzKdpTp48xBFf_nNGjh_vx-1ntT_svrabfQXaiEppuQLDhbMOJBrFoFHYCau7WvPbMdExZRvQjZdee2FqrZjlVhiJ1gop5Yws_rAPgXYoIUGZ2rtI-xCRV4d4QvA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>A review of commonly used compartmental models in epidemiology</title><source>arXiv.org</source><creator>Mehdaoui, Mohamed</creator><creatorcontrib>Mehdaoui, Mohamed</creatorcontrib><description>In order to model an epidemic, different approaches can be adopted. Mainly,
the deterministic approach and the stochastic one. Recently, a large amount of
literature has been published using the two approaches. The aim of this paper
is to illustrate the usual framework used for commonly adopted compartmental
models in epidemiology and introduce variant analytic and numerical tools that
interfere on each one of those models, as well as the general related types of
existing, ongoing and future possible contributions.</description><identifier>DOI: 10.48550/arxiv.2110.09642</identifier><language>eng</language><subject>Mathematics - Dynamical Systems ; Quantitative Biology - Populations and Evolution</subject><creationdate>2021-10</creationdate><rights>http://creativecommons.org/licenses/by/4.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,780,885</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2110.09642$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2110.09642$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Mehdaoui, Mohamed</creatorcontrib><title>A review of commonly used compartmental models in epidemiology</title><description>In order to model an epidemic, different approaches can be adopted. Mainly,
the deterministic approach and the stochastic one. Recently, a large amount of
literature has been published using the two approaches. The aim of this paper
is to illustrate the usual framework used for commonly adopted compartmental
models in epidemiology and introduce variant analytic and numerical tools that
interfere on each one of those models, as well as the general related types of
existing, ongoing and future possible contributions.</description><subject>Mathematics - Dynamical Systems</subject><subject>Quantitative Biology - Populations and Evolution</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotj8tqwzAURLXpoiT9gK6iH3CqhyU5m0AIbVoIZJO9uZaugkCyjJym9d_n0a6GmcVhDiGvnC3rRin2BuU3XJaC3wa20rV4JusNLXgJ-EOzpzanlPs40e8R3b0NUM4J-zNEmrLDONLQUxyCwxRyzKdpTp48xBFf_nNGjh_vx-1ntT_svrabfQXaiEppuQLDhbMOJBrFoFHYCau7WvPbMdExZRvQjZdee2FqrZjlVhiJ1gop5Yws_rAPgXYoIUGZ2rtI-xCRV4d4QvA</recordid><startdate>20211018</startdate><enddate>20211018</enddate><creator>Mehdaoui, Mohamed</creator><scope>AKZ</scope><scope>ALC</scope><scope>GOX</scope></search><sort><creationdate>20211018</creationdate><title>A review of commonly used compartmental models in epidemiology</title><author>Mehdaoui, Mohamed</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a672-5639a712dcda3e750a85eb2c6b4618552b05c8a68f3f6f274650c1c273ecc2333</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Mathematics - Dynamical Systems</topic><topic>Quantitative Biology - Populations and Evolution</topic><toplevel>online_resources</toplevel><creatorcontrib>Mehdaoui, Mohamed</creatorcontrib><collection>arXiv Mathematics</collection><collection>arXiv Quantitative Biology</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Mehdaoui, Mohamed</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A review of commonly used compartmental models in epidemiology</atitle><date>2021-10-18</date><risdate>2021</risdate><abstract>In order to model an epidemic, different approaches can be adopted. Mainly,
the deterministic approach and the stochastic one. Recently, a large amount of
literature has been published using the two approaches. The aim of this paper
is to illustrate the usual framework used for commonly adopted compartmental
models in epidemiology and introduce variant analytic and numerical tools that
interfere on each one of those models, as well as the general related types of
existing, ongoing and future possible contributions.</abstract><doi>10.48550/arxiv.2110.09642</doi><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | DOI: 10.48550/arxiv.2110.09642 |
| ispartof | |
| issn | |
| language | eng |
| recordid | cdi_arxiv_primary_2110_09642 |
| source | arXiv.org |
| subjects | Mathematics - Dynamical Systems Quantitative Biology - Populations and Evolution |
| title | A review of commonly used compartmental models in epidemiology |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-12T10%3A50%3A21IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-arxiv_GOX&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20review%20of%20commonly%20used%20compartmental%20models%20in%20epidemiology&rft.au=Mehdaoui,%20Mohamed&rft.date=2021-10-18&rft_id=info:doi/10.48550/arxiv.2110.09642&rft_dat=%3Carxiv_GOX%3E2110_09642%3C/arxiv_GOX%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |