Loading…

Modeling the spatiotemporal transmission of Ebola disease and optimal control: a regional approach

Ebola is a severe disease causing death to humans and nonhuman primates. It emerged in West Africa in December 2013. According to the World Health Organization, it is one of the most infectious and deadly infectious agents in the world. Ebola outbreak seems to be a particular risk in conflict-affect...

Full description

Saved in:
Bibliographic Details
Published in:International journal of dynamics and control 2019-09, Vol.7 (3), p.1110-1124
Main Authors: Laaroussi, Adil El Alami, Ghazzali, Rachid, Rachik, Mostafa, Benrhila, Soukaina
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c287w-5f787154db86c23602ddca2f3ab7ec91ad89fe04a6d425602f5226d14d5f96f53
cites cdi_FETCH-LOGICAL-c287w-5f787154db86c23602ddca2f3ab7ec91ad89fe04a6d425602f5226d14d5f96f53
container_end_page 1124
container_issue 3
container_start_page 1110
container_title International journal of dynamics and control
container_volume 7
creator Laaroussi, Adil El Alami
Ghazzali, Rachid
Rachik, Mostafa
Benrhila, Soukaina
description Ebola is a severe disease causing death to humans and nonhuman primates. It emerged in West Africa in December 2013. According to the World Health Organization, it is one of the most infectious and deadly infectious agents in the world. Ebola outbreak seems to be a particular risk in conflict-affected contexts: we apply an optimal regional control to stop the mortality of infected people in a specific region in order to protect it from neighboring areas. We aim to define and characterize an optimal control which minimizes both, the number of infected people and the cost of treatment. The existence of the positive solution for the system is proved. We also prove the existence of an optimal control which minimizes the cost function, and we give a characterization of this control in terms of state function and adjoint function. To illustrate the effectiveness of our theoretical results, we give numerical simulations for several scenarios. The obtained results present a good framework for interventions to protect a specific region against transmission of the epidemic by neighboring regions in case of conflict.
doi_str_mv 10.1007/s40435-019-00525-w
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2265807486</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2265807486</sourcerecordid><originalsourceid>FETCH-LOGICAL-c287w-5f787154db86c23602ddca2f3ab7ec91ad89fe04a6d425602f5226d14d5f96f53</originalsourceid><addsrcrecordid>eNp9kE1LxDAQhoMouOj-AU8Bz9VJmrSpN1nWD1jxouAtpE2y26Xb1EyXxX9vtKI3TzPMPO98vIRcMLhiAOU1ChC5zIBVGYDkMjsckRlnlcx4Uanj31y9nZI54hYAOBPARTUj9VOwrmv7NR03juJgxjaMbjeEaDo6RtPjrkVsQ0-Dp8s6dIbaFp1BR01vaRjGdpfIJvRjDN0NNTS6dcJTzQxDDKbZnJMTbzp08594Rl7vli-Lh2z1fP-4uF1lDVflIZO-VCWTwtaqaHheALe2Mdznpi5dUzFjVeUdCFNYwWVqe8l5YZmw0leFl_kZuZzmprXve4ej3oZ9TJegTqBUUApVJIpPVBMDYnReDzG9ED80A_1lp57s1MlO_W2nPiRRPokwwf3axb_R_6g-ARafeac</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2265807486</pqid></control><display><type>article</type><title>Modeling the spatiotemporal transmission of Ebola disease and optimal control: a regional approach</title><source>Springer Nature:Jisc Collections:Springer Nature Read and Publish 2023-2025: Springer Reading List</source><creator>Laaroussi, Adil El Alami ; Ghazzali, Rachid ; Rachik, Mostafa ; Benrhila, Soukaina</creator><creatorcontrib>Laaroussi, Adil El Alami ; Ghazzali, Rachid ; Rachik, Mostafa ; Benrhila, Soukaina</creatorcontrib><description>Ebola is a severe disease causing death to humans and nonhuman primates. It emerged in West Africa in December 2013. According to the World Health Organization, it is one of the most infectious and deadly infectious agents in the world. Ebola outbreak seems to be a particular risk in conflict-affected contexts: we apply an optimal regional control to stop the mortality of infected people in a specific region in order to protect it from neighboring areas. We aim to define and characterize an optimal control which minimizes both, the number of infected people and the cost of treatment. The existence of the positive solution for the system is proved. We also prove the existence of an optimal control which minimizes the cost function, and we give a characterization of this control in terms of state function and adjoint function. To illustrate the effectiveness of our theoretical results, we give numerical simulations for several scenarios. The obtained results present a good framework for interventions to protect a specific region against transmission of the epidemic by neighboring regions in case of conflict.</description><identifier>ISSN: 2195-268X</identifier><identifier>EISSN: 2195-2698</identifier><identifier>DOI: 10.1007/s40435-019-00525-w</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Complexity ; Computer simulation ; Control ; Control and Systems Theory ; Disease control ; Dynamical Systems ; Ebola virus ; Engineering ; Epidemics ; Optimal control ; Outbreaks ; Primates ; Vibration ; Viral diseases</subject><ispartof>International journal of dynamics and control, 2019-09, Vol.7 (3), p.1110-1124</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2019</rights><rights>Copyright Springer Nature B.V. 2019</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c287w-5f787154db86c23602ddca2f3ab7ec91ad89fe04a6d425602f5226d14d5f96f53</citedby><cites>FETCH-LOGICAL-c287w-5f787154db86c23602ddca2f3ab7ec91ad89fe04a6d425602f5226d14d5f96f53</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids></links><search><creatorcontrib>Laaroussi, Adil El Alami</creatorcontrib><creatorcontrib>Ghazzali, Rachid</creatorcontrib><creatorcontrib>Rachik, Mostafa</creatorcontrib><creatorcontrib>Benrhila, Soukaina</creatorcontrib><title>Modeling the spatiotemporal transmission of Ebola disease and optimal control: a regional approach</title><title>International journal of dynamics and control</title><addtitle>Int. J. Dynam. Control</addtitle><description>Ebola is a severe disease causing death to humans and nonhuman primates. It emerged in West Africa in December 2013. According to the World Health Organization, it is one of the most infectious and deadly infectious agents in the world. Ebola outbreak seems to be a particular risk in conflict-affected contexts: we apply an optimal regional control to stop the mortality of infected people in a specific region in order to protect it from neighboring areas. We aim to define and characterize an optimal control which minimizes both, the number of infected people and the cost of treatment. The existence of the positive solution for the system is proved. We also prove the existence of an optimal control which minimizes the cost function, and we give a characterization of this control in terms of state function and adjoint function. To illustrate the effectiveness of our theoretical results, we give numerical simulations for several scenarios. The obtained results present a good framework for interventions to protect a specific region against transmission of the epidemic by neighboring regions in case of conflict.</description><subject>Complexity</subject><subject>Computer simulation</subject><subject>Control</subject><subject>Control and Systems Theory</subject><subject>Disease control</subject><subject>Dynamical Systems</subject><subject>Ebola virus</subject><subject>Engineering</subject><subject>Epidemics</subject><subject>Optimal control</subject><subject>Outbreaks</subject><subject>Primates</subject><subject>Vibration</subject><subject>Viral diseases</subject><issn>2195-268X</issn><issn>2195-2698</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9kE1LxDAQhoMouOj-AU8Bz9VJmrSpN1nWD1jxouAtpE2y26Xb1EyXxX9vtKI3TzPMPO98vIRcMLhiAOU1ChC5zIBVGYDkMjsckRlnlcx4Uanj31y9nZI54hYAOBPARTUj9VOwrmv7NR03juJgxjaMbjeEaDo6RtPjrkVsQ0-Dp8s6dIbaFp1BR01vaRjGdpfIJvRjDN0NNTS6dcJTzQxDDKbZnJMTbzp08594Rl7vli-Lh2z1fP-4uF1lDVflIZO-VCWTwtaqaHheALe2Mdznpi5dUzFjVeUdCFNYwWVqe8l5YZmw0leFl_kZuZzmprXve4ej3oZ9TJegTqBUUApVJIpPVBMDYnReDzG9ED80A_1lp57s1MlO_W2nPiRRPokwwf3axb_R_6g-ARafeac</recordid><startdate>20190901</startdate><enddate>20190901</enddate><creator>Laaroussi, Adil El Alami</creator><creator>Ghazzali, Rachid</creator><creator>Rachik, Mostafa</creator><creator>Benrhila, Soukaina</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20190901</creationdate><title>Modeling the spatiotemporal transmission of Ebola disease and optimal control: a regional approach</title><author>Laaroussi, Adil El Alami ; Ghazzali, Rachid ; Rachik, Mostafa ; Benrhila, Soukaina</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c287w-5f787154db86c23602ddca2f3ab7ec91ad89fe04a6d425602f5226d14d5f96f53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Complexity</topic><topic>Computer simulation</topic><topic>Control</topic><topic>Control and Systems Theory</topic><topic>Disease control</topic><topic>Dynamical Systems</topic><topic>Ebola virus</topic><topic>Engineering</topic><topic>Epidemics</topic><topic>Optimal control</topic><topic>Outbreaks</topic><topic>Primates</topic><topic>Vibration</topic><topic>Viral diseases</topic><toplevel>online_resources</toplevel><creatorcontrib>Laaroussi, Adil El Alami</creatorcontrib><creatorcontrib>Ghazzali, Rachid</creatorcontrib><creatorcontrib>Rachik, Mostafa</creatorcontrib><creatorcontrib>Benrhila, Soukaina</creatorcontrib><collection>CrossRef</collection><jtitle>International journal of dynamics and control</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Laaroussi, Adil El Alami</au><au>Ghazzali, Rachid</au><au>Rachik, Mostafa</au><au>Benrhila, Soukaina</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modeling the spatiotemporal transmission of Ebola disease and optimal control: a regional approach</atitle><jtitle>International journal of dynamics and control</jtitle><stitle>Int. J. Dynam. Control</stitle><date>2019-09-01</date><risdate>2019</risdate><volume>7</volume><issue>3</issue><spage>1110</spage><epage>1124</epage><pages>1110-1124</pages><issn>2195-268X</issn><eissn>2195-2698</eissn><abstract>Ebola is a severe disease causing death to humans and nonhuman primates. It emerged in West Africa in December 2013. According to the World Health Organization, it is one of the most infectious and deadly infectious agents in the world. Ebola outbreak seems to be a particular risk in conflict-affected contexts: we apply an optimal regional control to stop the mortality of infected people in a specific region in order to protect it from neighboring areas. We aim to define and characterize an optimal control which minimizes both, the number of infected people and the cost of treatment. The existence of the positive solution for the system is proved. We also prove the existence of an optimal control which minimizes the cost function, and we give a characterization of this control in terms of state function and adjoint function. To illustrate the effectiveness of our theoretical results, we give numerical simulations for several scenarios. The obtained results present a good framework for interventions to protect a specific region against transmission of the epidemic by neighboring regions in case of conflict.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s40435-019-00525-w</doi><tpages>15</tpages></addata></record>
fulltext fulltext
identifier ISSN: 2195-268X
ispartof International journal of dynamics and control, 2019-09, Vol.7 (3), p.1110-1124
issn 2195-268X
2195-2698
language eng
recordid cdi_proquest_journals_2265807486
source Springer Nature:Jisc Collections:Springer Nature Read and Publish 2023-2025: Springer Reading List
subjects Complexity
Computer simulation
Control
Control and Systems Theory
Disease control
Dynamical Systems
Ebola virus
Engineering
Epidemics
Optimal control
Outbreaks
Primates
Vibration
Viral diseases
title Modeling the spatiotemporal transmission of Ebola disease and optimal control: a regional approach
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-11T15%3A38%3A58IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Modeling%20the%20spatiotemporal%20transmission%20of%20Ebola%20disease%20and%20optimal%20control:%20a%20regional%20approach&rft.jtitle=International%20journal%20of%20dynamics%20and%20control&rft.au=Laaroussi,%20Adil%20El%20Alami&rft.date=2019-09-01&rft.volume=7&rft.issue=3&rft.spage=1110&rft.epage=1124&rft.pages=1110-1124&rft.issn=2195-268X&rft.eissn=2195-2698&rft_id=info:doi/10.1007/s40435-019-00525-w&rft_dat=%3Cproquest_cross%3E2265807486%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c287w-5f787154db86c23602ddca2f3ab7ec91ad89fe04a6d425602f5226d14d5f96f53%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2265807486&rft_id=info:pmid/&rfr_iscdi=true