{"id":"https://openalex.org/W1991823344","doi":"https://doi.org/10.1145/2649387.2649409","title":"A method for reducing the severity of epidemics by allocating vaccines according to centrality","display_name":"A method for reducing the severity of epidemics by allocating vaccines according to centrality","publication_year":2014,"publication_date":"2014-09-20","ids":{"openalex":"https://openalex.org/W1991823344","doi":"https://doi.org/10.1145/2649387.2649409","mag":"1991823344"},"language":"en","primary_location":{"id":"doi:10.1145/2649387.2649409","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2649387.2649409","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1407.7288","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Krzysztof Drewniak","orcid":null},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Krzysztof Drewniak","raw_affiliation_strings":["University of Texas at Austin, Austin, TX"],"affiliations":[{"raw_affiliation_string":"University of Texas at Austin, Austin, TX","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Joseph Helsing","orcid":null},"institutions":[{"id":"https://openalex.org/I123534392","display_name":"University of North Texas","ror":"https://ror.org/00v97ad02","country_code":"US","type":"education","lineage":["https://openalex.org/I123534392"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joseph Helsing","raw_affiliation_strings":["University of North Texas, Denton, TX"],"affiliations":[{"raw_affiliation_string":"University of North Texas, Denton, TX","institution_ids":["https://openalex.org/I123534392"]}]},{"author_position":"last","author":{"id":null,"display_name":"Armin R. Mikler","orcid":null},"institutions":[{"id":"https://openalex.org/I123534392","display_name":"University of North Texas","ror":"https://ror.org/00v97ad02","country_code":"US","type":"education","lineage":["https://openalex.org/I123534392"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Armin R. Mikler","raw_affiliation_strings":["University of North Texas, Denton, TX"],"affiliations":[{"raw_affiliation_string":"University of North Texas, Denton, TX","institution_ids":["https://openalex.org/I123534392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I86519309"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.07201037,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"341","last_page":"350"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10167","display_name":"Influenza Virus Research Studies","score":0.9782000184059143,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/betweenness-centrality","display_name":"Betweenness centrality","score":0.7084000110626221},{"id":"https://openalex.org/keywords/centrality","display_name":"Centrality","score":0.694599986076355},{"id":"https://openalex.org/keywords/epidemic-model","display_name":"Epidemic model","score":0.4138000011444092},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.38600000739097595},{"id":"https://openalex.org/keywords/optimal-allocation","display_name":"Optimal allocation","score":0.32690000534057617},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.3019999861717224}],"concepts":[{"id":"https://openalex.org/C117045392","wikidata":"https://www.wikidata.org/wiki/Q4899215","display_name":"Betweenness centrality","level":3,"score":0.7084000110626221},{"id":"https://openalex.org/C53811970","wikidata":"https://www.wikidata.org/wiki/Q5062194","display_name":"Centrality","level":2,"score":0.694599986076355},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47519999742507935},{"id":"https://openalex.org/C1627819","wikidata":"https://www.wikidata.org/wiki/Q2572354","display_name":"Epidemic model","level":3,"score":0.4138000011444092},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.38600000739097595},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.36809998750686646},{"id":"https://openalex.org/C3020013979","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimal allocation","level":2,"score":0.32690000534057617},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.31929999589920044},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.3019999861717224},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.28870001435279846},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.2824999988079071},{"id":"https://openalex.org/C2778048844","wikidata":"https://www.wikidata.org/wiki/Q12156","display_name":"Malaria","level":2,"score":0.26759999990463257},{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.26489999890327454}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2649387.2649409","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2649387.2649409","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1407.7288","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1407.7288","pdf_url":"https://arxiv.org/pdf/1407.7288","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1407.7288","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1407.7288","pdf_url":"https://arxiv.org/pdf/1407.7288","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W188461122","https://openalex.org/W1970913835","https://openalex.org/W1971937094","https://openalex.org/W1978875661","https://openalex.org/W1997009285","https://openalex.org/W2021028587","https://openalex.org/W2080753241","https://openalex.org/W2097289778","https://openalex.org/W2098669450","https://openalex.org/W2113867961","https://openalex.org/W2114126556","https://openalex.org/W2119108458","https://openalex.org/W2123499070","https://openalex.org/W2127800791","https://openalex.org/W2131222371","https://openalex.org/W2132022337","https://openalex.org/W2136511694","https://openalex.org/W2161283706","https://openalex.org/W2163737296","https://openalex.org/W2171707538","https://openalex.org/W6692808625"],"related_works":[],"abstract_inverted_index":{"One":[0],"long-standing":[1],"question":[2],"in":[3,19],"epidemiological":[4],"research":[5],"is":[6,88],"how":[7],"best":[8],"to":[9,21,50,64,124,144],"allocate":[10],"limited":[11,71],"amounts":[12],"of":[13,25,29,35,47,54,62,67,73],"vaccine":[14,36,96,113],"or":[15],"similar":[16],"preventative":[17],"measures":[18],"order":[20],"minimize":[22],"the":[23,30,33,52,65,91,112,146],"severity":[24],"an":[26,107],"epidemic.":[27],"Much":[28],"literature":[31],"on":[32,40,90,100,137],"problem":[34,66],"allocation":[37,97,114,134],"has":[38],"focused":[39],"influenza":[41],"epidemics":[42,63,86],"and":[43,94,139],"used":[44],"mathematical":[45],"models":[46,61],"epidemic":[48,128],"spread":[49],"determine":[51],"effectiveness":[53],"proposed":[55],"methods.":[56],"Our":[57],"work":[58],"applies":[59],"computational":[60],"geographically":[68],"allocating":[69],"a":[70,81],"number":[72],"vaccines":[74],"within":[75],"several":[76],"Texas":[77],"counties.":[78],"We":[79,131],"developed":[80],"graph-based,":[82],"stochastic":[83],"model":[84],"for":[85,110],"that":[87,133],"based":[89,99,136],"SEIR":[92],"model,":[93],"tested":[95],"methods":[98,135],"multiple":[101],"centrality":[102],"measures.":[103],"This":[104],"approach":[105],"provides":[106],"alternative":[108],"method":[109],"addressing":[111],"problem,":[115],"which":[116],"can":[117],"be":[118,145],"combined":[119],"with":[120],"more":[121,126],"conventional":[122],"approaches":[123],"yield":[125],"effective":[127,148],"suppression":[129],"strategies.":[130],"found":[132],"in-degree":[138],"inverse":[140],"betweenness":[141],"centralities":[142],"tended":[143],"most":[147],"at":[149],"mitigating":[150],"epidemics.":[151]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2016-06-24T00:00:00"}
