Value of inventory information in allocating a limited supply of influenza vaccine during a pandemic
Identifieur interne : 000C61 ( Pmc/Curation ); précédent : 000C60; suivant : 000C62Value of inventory information in allocating a limited supply of influenza vaccine during a pandemic
Auteurs : Zihao Li [États-Unis] ; Julie L. Swann [États-Unis] ; Pinar Keskinocak [États-Unis]Source :
- PLoS ONE [ 1932-6203 ] ; 2018.
Abstract
To understand the value of information on vaccine inventory levels during an influenza pandemic, we propose a simulation study to compare vaccine allocation strategies using: (i) only population information (pro-rata, or population-based, PB), (ii) both population and vaccine inventory information (population and inventory-based, PIB).
We adapt an agent-based simulation model to predict the spread of the disease both geographically and temporally. We study PB and PIB when uptake rates vary geographically. The simulation study is done from 2015 to 2017, using population and commuting data from the state of Georgia from the United States census.
Compared to PB under reasonable scenarios, PIB reduces the infection attack rate from 23.4% to 22.4%, decreases the amount of leftover inventory from 827 to 152 thousand, and maintains or increases the percentage of vaccinated population.
Our results indicate the need for greater vaccine inventory visibility in public health supply chains, especially when supply is limited, and uptake rates vary geographically. Such visibility has a potential to decrease the number of infections, help identify locations with low uptake rates and to motivate public awareness efforts.
Url:
DOI: 10.1371/journal.pone.0206293
PubMed: 30359445
PubMed Central: 6201932
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Value of inventory information in allocating a limited supply of influenza vaccine during a pandemic</title><author><name sortKey="Li, Zihao" sort="Li, Zihao" uniqKey="Li Z" first="Zihao" last="Li">Zihao Li</name><affiliation wicri:level="1"><nlm:aff id="aff001"><addr-line>School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia, United States of America</addr-line></nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia</wicri:regionArea></affiliation></author><author><name sortKey="Swann, Julie L" sort="Swann, Julie L" uniqKey="Swann J" first="Julie L." last="Swann">Julie L. Swann</name><affiliation wicri:level="1"><nlm:aff id="aff002"><addr-line>Department of Industrial and Systems Engineering, North Carolina State University, Raleigh, North Carolina, United States of America</addr-line></nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Industrial and Systems Engineering, North Carolina State University, Raleigh, North Carolina</wicri:regionArea></affiliation></author><author><name sortKey="Keskinocak, Pinar" sort="Keskinocak, Pinar" uniqKey="Keskinocak P" first="Pinar" last="Keskinocak">Pinar Keskinocak</name><affiliation wicri:level="1"><nlm:aff id="aff001"><addr-line>School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia, United States of America</addr-line></nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia</wicri:regionArea></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">30359445</idno><idno type="pmc">6201932</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6201932</idno><idno type="RBID">PMC:6201932</idno><idno type="doi">10.1371/journal.pone.0206293</idno><date when="2018">2018</date><idno type="wicri:Area/Pmc/Corpus">000C61</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000C61</idno><idno type="wicri:Area/Pmc/Curation">000C61</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Curation">000C61</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Value of inventory information in allocating a limited supply of influenza vaccine during a pandemic</title><author><name sortKey="Li, Zihao" sort="Li, Zihao" uniqKey="Li Z" first="Zihao" last="Li">Zihao Li</name><affiliation wicri:level="1"><nlm:aff id="aff001"><addr-line>School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia, United States of America</addr-line></nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia</wicri:regionArea></affiliation></author><author><name sortKey="Swann, Julie L" sort="Swann, Julie L" uniqKey="Swann J" first="Julie L." last="Swann">Julie L. Swann</name><affiliation wicri:level="1"><nlm:aff id="aff002"><addr-line>Department of Industrial and Systems Engineering, North Carolina State University, Raleigh, North Carolina, United States of America</addr-line></nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Industrial and Systems Engineering, North Carolina State University, Raleigh, North Carolina</wicri:regionArea></affiliation></author><author><name sortKey="Keskinocak, Pinar" sort="Keskinocak, Pinar" uniqKey="Keskinocak P" first="Pinar" last="Keskinocak">Pinar Keskinocak</name><affiliation wicri:level="1"><nlm:aff id="aff001"><addr-line>School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia, United States of America</addr-line></nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia</wicri:regionArea></affiliation></author></analytic><series><title level="j">PLoS ONE</title><idno type="eISSN">1932-6203</idno><imprint><date when="2018">2018</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec id="sec001"><title>Objective</title><p>To understand the value of information on vaccine inventory levels during an influenza pandemic, we propose a simulation study to compare vaccine allocation strategies using: (i) only population information (pro-rata, or population-based, PB), (ii) both population and vaccine inventory information (population and inventory-based, PIB).</p></sec><sec id="sec002"><title>Methods</title><p>We adapt an agent-based simulation model to predict the spread of the disease both geographically and temporally. We study PB and PIB when uptake rates vary geographically. The simulation study is done from 2015 to 2017, using population and commuting data from the state of Georgia from the United States census.</p></sec><sec id="sec003"><title>Findings</title><p>Compared to PB under reasonable scenarios, PIB reduces the infection attack rate from 23.4% to 22.4%, decreases the amount of leftover inventory from 827 to 152 thousand, and maintains or increases the percentage of vaccinated population.</p></sec><sec id="sec004"><title>Conclusions</title><p>Our results indicate the need for greater vaccine inventory visibility in public health supply chains, especially when supply is limited, and uptake rates vary geographically. 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<front><journal-meta><journal-id journal-id-type="nlm-ta">PLoS One</journal-id><journal-id journal-id-type="iso-abbrev">PLoS ONE</journal-id><journal-id journal-id-type="publisher-id">plos</journal-id><journal-id journal-id-type="pmc">plosone</journal-id><journal-title-group><journal-title>PLoS ONE</journal-title></journal-title-group><issn pub-type="epub">1932-6203</issn><publisher><publisher-name>Public Library of Science</publisher-name><publisher-loc>San Francisco, CA USA</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">30359445</article-id><article-id pub-id-type="pmc">6201932</article-id><article-id pub-id-type="doi">10.1371/journal.pone.0206293</article-id><article-id pub-id-type="publisher-id">PONE-D-17-45175</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Medicine and Health Sciences</subject><subj-group><subject>Infectious Diseases</subject><subj-group><subject>Infectious Disease Control</subject><subj-group><subject>Vaccines</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and Life Sciences</subject><subj-group><subject>Immunology</subject><subj-group><subject>Vaccination and Immunization</subject></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Medicine and Health Sciences</subject><subj-group><subject>Immunology</subject><subj-group><subject>Vaccination and Immunization</subject></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Medicine and Health Sciences</subject><subj-group><subject>Public and Occupational Health</subject><subj-group><subject>Preventive Medicine</subject><subj-group><subject>Vaccination and Immunization</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Research and Analysis Methods</subject><subj-group><subject>Research Design</subject><subj-group><subject>Survey Research</subject><subj-group><subject>Census</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Medicine and Health Sciences</subject><subj-group><subject>Infectious Diseases</subject><subj-group><subject>Viral Diseases</subject><subj-group><subject>Influenza</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Medicine and Health Sciences</subject><subj-group><subject>Public and Occupational Health</subject></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Medicine and Health Sciences</subject><subj-group><subject>Epidemiology</subject><subj-group><subject>Infectious Disease Epidemiology</subject></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Medicine and Health Sciences</subject><subj-group><subject>Infectious Diseases</subject><subj-group><subject>Infectious Disease Epidemiology</subject></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Research and Analysis Methods</subject><subj-group><subject>Simulation and Modeling</subject></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Research and Analysis Methods</subject><subj-group><subject>Simulation and Modeling</subject><subj-group><subject>Agent-Based Modeling</subject></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Computer and Information Sciences</subject><subj-group><subject>Systems Science</subject><subj-group><subject>Agent-Based Modeling</subject></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Physical Sciences</subject><subj-group><subject>Mathematics</subject><subj-group><subject>Systems Science</subject><subj-group><subject>Agent-Based Modeling</subject></subj-group></subj-group></subj-group></subj-group></article-categories><title-group><article-title>Value of inventory information in allocating a limited supply of influenza vaccine during a pandemic</article-title><alt-title alt-title-type="running-head">Value of inventory information on influenza vaccine</alt-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Li</surname><given-names>Zihao</given-names></name><role content-type="http://credit.casrai.org/">Conceptualization</role><role content-type="http://credit.casrai.org/">Data curation</role><role content-type="http://credit.casrai.org/">Formal analysis</role><role content-type="http://credit.casrai.org/">Funding acquisition</role><role content-type="http://credit.casrai.org/">Investigation</role><role content-type="http://credit.casrai.org/">Methodology</role><role content-type="http://credit.casrai.org/">Project administration</role><role content-type="http://credit.casrai.org/">Resources</role><role content-type="http://credit.casrai.org/">Software</role><role content-type="http://credit.casrai.org/">Supervision</role><role content-type="http://credit.casrai.org/">Validation</role><role content-type="http://credit.casrai.org/">Visualization</role><role content-type="http://credit.casrai.org/">Writing – original draft</role><role content-type="http://credit.casrai.org/">Writing – review & editing</role><xref ref-type="aff" rid="aff001"><sup>1</sup></xref></contrib><contrib contrib-type="author" equal-contrib="yes"><name><surname>Swann</surname><given-names>Julie L.</given-names></name><role content-type="http://credit.casrai.org/">Conceptualization</role><role content-type="http://credit.casrai.org/">Funding acquisition</role><role content-type="http://credit.casrai.org/">Investigation</role><role content-type="http://credit.casrai.org/">Methodology</role><role content-type="http://credit.casrai.org/">Project administration</role><role content-type="http://credit.casrai.org/">Resources</role><role content-type="http://credit.casrai.org/">Supervision</role><role content-type="http://credit.casrai.org/">Validation</role><role content-type="http://credit.casrai.org/">Writing – original draft</role><role content-type="http://credit.casrai.org/">Writing – review & editing</role><xref ref-type="aff" rid="aff002"><sup>2</sup></xref></contrib><contrib contrib-type="author" equal-contrib="yes"><contrib-id authenticated="true" contrib-id-type="orcid">http://orcid.org/0000-0003-2686-546X</contrib-id><name><surname>Keskinocak</surname><given-names>Pinar</given-names></name><role content-type="http://credit.casrai.org/">Conceptualization</role><role content-type="http://credit.casrai.org/">Funding acquisition</role><role content-type="http://credit.casrai.org/">Investigation</role><role content-type="http://credit.casrai.org/">Methodology</role><role content-type="http://credit.casrai.org/">Project administration</role><role content-type="http://credit.casrai.org/">Resources</role><role content-type="http://credit.casrai.org/">Supervision</role><role content-type="http://credit.casrai.org/">Validation</role><role content-type="http://credit.casrai.org/">Writing – original draft</role><role content-type="http://credit.casrai.org/">Writing – review & editing</role><xref ref-type="aff" rid="aff001"><sup>1</sup></xref><xref ref-type="corresp" rid="cor001">*</xref></contrib></contrib-group><aff id="aff001"><label>1</label><addr-line>School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia, United States of America</addr-line></aff><aff id="aff002"><label>2</label><addr-line>Department of Industrial and Systems Engineering, North Carolina State University, Raleigh, North Carolina, United States of America</addr-line></aff><contrib-group><contrib contrib-type="editor"><name><surname>Shaman</surname><given-names>Jeffrey</given-names></name><role>Editor</role><xref ref-type="aff" rid="edit1"></xref></contrib></contrib-group><aff id="edit1"><addr-line>Columbia University, UNITED STATES</addr-line></aff><author-notes><fn fn-type="COI-statement" id="coi001"><p><bold>Competing Interests: </bold>The authors have declared that no competing interests exist.</p></fn><corresp id="cor001">* E-mail: <email>pinar@isye.gatech.edu</email></corresp></author-notes><pub-date pub-type="epub"><day>25</day><month>10</month><year>2018</year></pub-date><pub-date pub-type="collection"><year>2018</year></pub-date><volume>13</volume><issue>10</issue><elocation-id>e0206293</elocation-id><history><date date-type="received"><day>28</day><month>12</month><year>2017</year></date><date date-type="accepted"><day>10</day><month>10</month><year>2018</year></date></history><permissions><license xlink:href="https://creativecommons.org/publicdomain/zero/1.0/"><license-p>This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/publicdomain/zero/1.0/">Creative Commons CC0</ext-link> public domain dedication.</license-p></license></permissions><self-uri content-type="pdf" xlink:href="pone.0206293.pdf"></self-uri><abstract><sec id="sec001"><title>Objective</title><p>To understand the value of information on vaccine inventory levels during an influenza pandemic, we propose a simulation study to compare vaccine allocation strategies using: (i) only population information (pro-rata, or population-based, PB), (ii) both population and vaccine inventory information (population and inventory-based, PIB).</p></sec><sec id="sec002"><title>Methods</title><p>We adapt an agent-based simulation model to predict the spread of the disease both geographically and temporally. We study PB and PIB when uptake rates vary geographically. The simulation study is done from 2015 to 2017, using population and commuting data from the state of Georgia from the United States census.</p></sec><sec id="sec003"><title>Findings</title><p>Compared to PB under reasonable scenarios, PIB reduces the infection attack rate from 23.4% to 22.4%, decreases the amount of leftover inventory from 827 to 152 thousand, and maintains or increases the percentage of vaccinated population.</p></sec><sec id="sec004"><title>Conclusions</title><p>Our results indicate the need for greater vaccine inventory visibility in public health supply chains, especially when supply is limited, and uptake rates vary geographically. Such visibility has a potential to decrease the number of infections, help identify locations with low uptake rates and to motivate public awareness efforts.</p></sec></abstract><funding-group><funding-statement>The study was supported by a seed grant from Georgia Institute of Technology and the Children’s Healthcare of Atlanta. This research was also supported in part by the Harold R. and Mary Anne Nash Junior Faculty Endowment Fund and the following Georgia Tech benefactors: William W. George, Andrea Laliberte, Joseph C. Mello, Richard “Rick” E. and Charlene Zalesky. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</funding-statement></funding-group><counts><fig-count count="2"></fig-count><table-count count="0"></table-count><page-count count="11"></page-count></counts><custom-meta-group><custom-meta id="data-availability"><meta-name>Data Availability</meta-name><meta-value>Most data relevant to this study is publicly available from census.gov. Additional data related to vaccine costs are from the literature and can be accessed directly from Reference 32 and 33. Census population/age data: <ext-link ext-link-type="uri" xlink:href="https://factfinder.census.gov/faces/tableservices/jsf/pages/productview.xhtml?pid=DEC_00_SF1_DP1&prodType=table">https://factfinder.census.gov/faces/tableservices/jsf/pages/productview.xhtml?pid=DEC_00_SF1_DP1&prodType=table</ext-link>. Georgia county-to-county workflow data: <ext-link ext-link-type="uri" xlink:href="https://www.census.gov/population/www/cen2000/commuting/#GA">https://www.census.gov/population/www/cen2000/commuting/#GA</ext-link>. Georgia education level data: <ext-link ext-link-type="uri" xlink:href="https://factfinder.census.gov/faces/tableservices/jsf/pages/productview.xhtml?pid=DEC_00_SF3_DP2&prodType=table">https://factfinder.census.gov/faces/tableservices/jsf/pages/productview.xhtml?pid=DEC_00_SF3_DP2&prodType=table</ext-link>. Distances between Georgia census tracts were obtained from the longitude and latitude of the centroid of the census tract: <ext-link ext-link-type="uri" xlink:href="https://www.census.gov/geo/maps-data/data/gazetteer2000.html">https://www.census.gov/geo/maps-data/data/gazetteer2000.html</ext-link>.</meta-value></custom-meta></custom-meta-group></article-meta><notes><title>Data Availability</title><p>Most data relevant to this study is publicly available from census.gov. Additional data related to vaccine costs are from the literature and can be accessed directly from Reference 32 and 33. Census population/age data: <ext-link ext-link-type="uri" xlink:href="https://factfinder.census.gov/faces/tableservices/jsf/pages/productview.xhtml?pid=DEC_00_SF1_DP1&prodType=table">https://factfinder.census.gov/faces/tableservices/jsf/pages/productview.xhtml?pid=DEC_00_SF1_DP1&prodType=table</ext-link>. Georgia county-to-county workflow data: <ext-link ext-link-type="uri" xlink:href="https://www.census.gov/population/www/cen2000/commuting/#GA">https://www.census.gov/population/www/cen2000/commuting/#GA</ext-link>. Georgia education level data: <ext-link ext-link-type="uri" xlink:href="https://factfinder.census.gov/faces/tableservices/jsf/pages/productview.xhtml?pid=DEC_00_SF3_DP2&prodType=table">https://factfinder.census.gov/faces/tableservices/jsf/pages/productview.xhtml?pid=DEC_00_SF3_DP2&prodType=table</ext-link>. Distances between Georgia census tracts were obtained from the longitude and latitude of the centroid of the census tract: <ext-link ext-link-type="uri" xlink:href="https://www.census.gov/geo/maps-data/data/gazetteer2000.html">https://www.census.gov/geo/maps-data/data/gazetteer2000.html</ext-link>.</p></notes></front></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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