A Three-Level Health Inspection Queue Based on Risk Screening Management Mechanism for Post-COVID Global Economic Recovery
Due to the serious impact of border control measures during the ongoing novel coronavirus (COVID-19) epidemic, new difficulties and challenges have been brought to the border lines of most countries and regions. Focusing on the post-COVID global economic recovery, we develop a computing method for s...
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description | Due to the serious impact of border control measures during the ongoing novel coronavirus (COVID-19) epidemic, new difficulties and challenges have been brought to the border lines of most countries and regions. Focusing on the post-COVID global economic recovery, we develop a computing method for studying the health inspection process based on a three-color risk screening management mechanism at border crossing checkpoints. In this article, to manage the cross-border risk efficiently during the epidemic prevention and control, we formulate a queueing model with hierarchical health inspection channels. The structural characteristics and properties of this three-level queueing model are also analyzed by studying the health inspection process with risk classification. Furthermore, we conduct a series of sensitivity analysis on several performance measures for the studied queueing system. In the numerical results, we figure out the monotonicity, convexity and complicated patterns of the derived formulas. |
doi_str_mv | 10.1109/ACCESS.2020.3026786 |
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Focusing on the post-COVID global economic recovery, we develop a computing method for studying the health inspection process based on a three-color risk screening management mechanism at border crossing checkpoints. In this article, to manage the cross-border risk efficiently during the epidemic prevention and control, we formulate a queueing model with hierarchical health inspection channels. The structural characteristics and properties of this three-level queueing model are also analyzed by studying the health inspection process with risk classification. Furthermore, we conduct a series of sensitivity analysis on several performance measures for the studied queueing system. In the numerical results, we figure out the monotonicity, convexity and complicated patterns of the derived formulas.</description><identifier>ISSN: 2169-3536</identifier><identifier>EISSN: 2169-3536</identifier><identifier>DOI: 10.1109/ACCESS.2020.3026786</identifier><identifier>PMID: 34976557</identifier><identifier>CODEN: IAECCG</identifier><language>eng</language><publisher>United States: IEEE</publisher><subject>Analytical models ; border control ; Boundaries ; Convexity ; Coronaviruses ; COVID-19 ; Disease control ; Economic conditions ; Economic recovery ; Economics ; Engineering Management ; epidemic prevention and control ; Epidemics ; Health inspections ; homeland security management ; Impact analysis ; Inspection ; Mathematics ; operations management ; performance evaluation ; Queueing analysis ; Queueing model ; Queuing theory ; Recovery ; Reliability ; risk analysis ; Risk management ; Screening ; Sensitivity analysis ; system analysis and design</subject><ispartof>IEEE access, 2020-01, Vol.8, p.177604-177614</ispartof><rights>This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. 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For more information, see https://creativecommons.org/licenses/by-nc-nd/4.0/ 2020 Author</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c519t-f78457e7ac0091882fbfaaa76a74987cd68b183dc16d84349b2175389bd8ba713</citedby><cites>FETCH-LOGICAL-c519t-f78457e7ac0091882fbfaaa76a74987cd68b183dc16d84349b2175389bd8ba713</cites><orcidid>0000-0001-5700-8108</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9206030$$EHTML$$P50$$Gieee$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,864,885,2101,27632,27923,27924,54932</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34976557$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wang, Chia-Hung</creatorcontrib><title>A Three-Level Health Inspection Queue Based on Risk Screening Management Mechanism for Post-COVID Global Economic Recovery</title><title>IEEE access</title><addtitle>Access</addtitle><addtitle>IEEE Access</addtitle><description>Due to the serious impact of border control measures during the ongoing novel coronavirus (COVID-19) epidemic, new difficulties and challenges have been brought to the border lines of most countries and regions. Focusing on the post-COVID global economic recovery, we develop a computing method for studying the health inspection process based on a three-color risk screening management mechanism at border crossing checkpoints. In this article, to manage the cross-border risk efficiently during the epidemic prevention and control, we formulate a queueing model with hierarchical health inspection channels. The structural characteristics and properties of this three-level queueing model are also analyzed by studying the health inspection process with risk classification. Furthermore, we conduct a series of sensitivity analysis on several performance measures for the studied queueing system. In the numerical results, we figure out the monotonicity, convexity and complicated patterns of the derived formulas.</description><subject>Analytical models</subject><subject>border control</subject><subject>Boundaries</subject><subject>Convexity</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>Disease control</subject><subject>Economic conditions</subject><subject>Economic recovery</subject><subject>Economics</subject><subject>Engineering Management</subject><subject>epidemic prevention and control</subject><subject>Epidemics</subject><subject>Health inspections</subject><subject>homeland security management</subject><subject>Impact analysis</subject><subject>Inspection</subject><subject>Mathematics</subject><subject>operations management</subject><subject>performance evaluation</subject><subject>Queueing analysis</subject><subject>Queueing model</subject><subject>Queuing theory</subject><subject>Recovery</subject><subject>Reliability</subject><subject>risk analysis</subject><subject>Risk management</subject><subject>Screening</subject><subject>Sensitivity analysis</subject><subject>system analysis and design</subject><issn>2169-3536</issn><issn>2169-3536</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><sourceid>DOA</sourceid><recordid>eNpdkl1v0zAUhiMEYtPYL5iELHHDTYo_4q8bpFLKVqnTYB3cWo5z0qYkcbGTSuPX49EybfjG9jnv-8jHerPsguAJIVh_mM5m89VqQjHFE4apkEq8yE4pETpnnImXT84n2XmMW5yWSiUuX2cnrNBScC5Ps99TdLcJAPkS9tCiK7DtsEGLPu7ADY3v0bcRRkCfbIQKpettE3-ilUuOvunX6Nr2dg0d9AO6BrexfRM7VPuAvvo45LObH4vP6LL1pW3R3Pned41Dt-D8HsL9m-xVbdsI58f9LPv-ZX43u8qXN5eL2XSZO070kNdSFVyCtA5jTZSidVlba6WwstBKukqokihWOSIqVaTJSkokZ0qXlSqtJOwsWxy4lbdbswtNZ8O98bYxfws-rI0NQ-NaMJWstCRYVbKoC8Z1aQGcE6WlhRCu5In18cDajWUHlUuDB9s-gz7v9M3GrP3eKCE55ywB3h8Bwf8aIQ6ma6KDtrU9-DEaKoigitCiSNJ3_0m3fgx9-ipDC14IhaXWScUOKhd8jAHqx8cQbB6iYg5RMQ9RMceoJNfbp3M8ev4FIwkuDoIGAB7bmmKBGWZ_AIESwo0</recordid><startdate>20200101</startdate><enddate>20200101</enddate><creator>Wang, Chia-Hung</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>ESBDL</scope><scope>RIA</scope><scope>RIE</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7SR</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-5700-8108</orcidid></search><sort><creationdate>20200101</creationdate><title>A Three-Level Health Inspection Queue Based on Risk Screening Management Mechanism for Post-COVID Global Economic Recovery</title><author>Wang, Chia-Hung</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c519t-f78457e7ac0091882fbfaaa76a74987cd68b183dc16d84349b2175389bd8ba713</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Analytical models</topic><topic>border control</topic><topic>Boundaries</topic><topic>Convexity</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>Disease control</topic><topic>Economic conditions</topic><topic>Economic recovery</topic><topic>Economics</topic><topic>Engineering Management</topic><topic>epidemic prevention and control</topic><topic>Epidemics</topic><topic>Health inspections</topic><topic>homeland security management</topic><topic>Impact analysis</topic><topic>Inspection</topic><topic>Mathematics</topic><topic>operations management</topic><topic>performance evaluation</topic><topic>Queueing analysis</topic><topic>Queueing model</topic><topic>Queuing theory</topic><topic>Recovery</topic><topic>Reliability</topic><topic>risk analysis</topic><topic>Risk management</topic><topic>Screening</topic><topic>Sensitivity analysis</topic><topic>system analysis and design</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Chia-Hung</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE Open Access Journals</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>IEEE access</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Chia-Hung</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Three-Level Health Inspection Queue Based on Risk Screening Management Mechanism for Post-COVID Global Economic Recovery</atitle><jtitle>IEEE access</jtitle><stitle>Access</stitle><addtitle>IEEE Access</addtitle><date>2020-01-01</date><risdate>2020</risdate><volume>8</volume><spage>177604</spage><epage>177614</epage><pages>177604-177614</pages><issn>2169-3536</issn><eissn>2169-3536</eissn><coden>IAECCG</coden><abstract>Due to the serious impact of border control measures during the ongoing novel coronavirus (COVID-19) epidemic, new difficulties and challenges have been brought to the border lines of most countries and regions. Focusing on the post-COVID global economic recovery, we develop a computing method for studying the health inspection process based on a three-color risk screening management mechanism at border crossing checkpoints. In this article, to manage the cross-border risk efficiently during the epidemic prevention and control, we formulate a queueing model with hierarchical health inspection channels. The structural characteristics and properties of this three-level queueing model are also analyzed by studying the health inspection process with risk classification. Furthermore, we conduct a series of sensitivity analysis on several performance measures for the studied queueing system. 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subjects | Analytical models border control Boundaries Convexity Coronaviruses COVID-19 Disease control Economic conditions Economic recovery Economics Engineering Management epidemic prevention and control Epidemics Health inspections homeland security management Impact analysis Inspection Mathematics operations management performance evaluation Queueing analysis Queueing model Queuing theory Recovery Reliability risk analysis Risk management Screening Sensitivity analysis system analysis and design |
title | A Three-Level Health Inspection Queue Based on Risk Screening Management Mechanism for Post-COVID Global Economic Recovery |
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