{"id":"https://openalex.org/W4394834616","doi":"https://doi.org/10.1108/jsit-02-2023-0027","title":"County-level prioritization for managing the Covid-19 pandemic: a systematic unsupervised learning approach","display_name":"County-level prioritization for managing the Covid-19 pandemic: a systematic unsupervised learning approach","publication_year":2024,"publication_date":"2024-04-15","ids":{"openalex":"https://openalex.org/W4394834616","doi":"https://doi.org/10.1108/jsit-02-2023-0027"},"language":"en","primary_location":{"id":"doi:10.1108/jsit-02-2023-0027","is_oa":false,"landing_page_url":"https://doi.org/10.1108/jsit-02-2023-0027","pdf_url":null,"source":{"id":"https://openalex.org/S39868070","display_name":"Journal of Systems and Information Technology","issn_l":"1328-7265","issn":["1328-7265","1758-8847"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Systems and Information Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053683424","display_name":"Charitha Hettiarachchi","orcid":null},"institutions":[{"id":"https://openalex.org/I52913039","display_name":"University of Houston - Clear Lake","ror":"https://ror.org/01t817z14","country_code":"US","type":"education","lineage":["https://openalex.org/I52913039"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Charitha Sasika Hettiarachchi","raw_affiliation_strings":["Department of Management Information Systems, University of Houston-Clear Lake, Houston, Texas, USA"],"affiliations":[{"raw_affiliation_string":"Department of Management Information Systems, University of Houston-Clear Lake, Houston, Texas, USA","institution_ids":["https://openalex.org/I52913039"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027285085","display_name":"Nanfei Sun","orcid":"https://orcid.org/0000-0002-4010-1514"},"institutions":[{"id":"https://openalex.org/I52913039","display_name":"University of Houston - Clear Lake","ror":"https://ror.org/01t817z14","country_code":"US","type":"education","lineage":["https://openalex.org/I52913039"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nanfei Sun","raw_affiliation_strings":["Department of Management Information Systems, University of Houston-Clear Lake, Houston, Texas, USA"],"affiliations":[{"raw_affiliation_string":"Department of Management Information Systems, University of Houston-Clear Lake, Houston, Texas, USA","institution_ids":["https://openalex.org/I52913039"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102649287","display_name":"Trang Minh Quynh Le","orcid":null},"institutions":[{"id":"https://openalex.org/I52913039","display_name":"University of Houston - Clear Lake","ror":"https://ror.org/01t817z14","country_code":"US","type":"education","lineage":["https://openalex.org/I52913039"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Trang Minh Quynh Le","raw_affiliation_strings":["Department of Management Information Systems, University of Houston-Clear Lake, Houston, Texas, USA"],"affiliations":[{"raw_affiliation_string":"Department of Management Information Systems, University of Houston-Clear Lake, Houston, Texas, USA","institution_ids":["https://openalex.org/I52913039"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108899635","display_name":"Naveed Saleem","orcid":null},"institutions":[{"id":"https://openalex.org/I52913039","display_name":"University of Houston - Clear Lake","ror":"https://ror.org/01t817z14","country_code":"US","type":"education","lineage":["https://openalex.org/I52913039"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Naveed Saleem","raw_affiliation_strings":["Department of Management Information Systems, University of Houston-Clear Lake, Houston, Texas, USA"],"affiliations":[{"raw_affiliation_string":"Department of Management Information Systems, University of Houston-Clear Lake, Houston, Texas, USA","institution_ids":["https://openalex.org/I52913039"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5053683424"],"corresponding_institution_ids":["https://openalex.org/I52913039"],"apc_list":null,"apc_paid":null,"fwci":0.8256,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66610575,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"26","issue":"2","first_page":"276","last_page":"309"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9941999912261963,"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":0.9941999912261963,"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/T11430","display_name":"Disaster Response and Management","score":0.9864000082015991,"subfield":{"id":"https://openalex.org/subfields/3604","display_name":"Emergency Medical Services"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9764000177383423,"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/pandemic","display_name":"Pandemic","score":0.7370267510414124},{"id":"https://openalex.org/keywords/government","display_name":"Government (linguistics)","score":0.6533453464508057},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.5557171106338501},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.5423415899276733},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46764418482780457},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4618460536003113},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.44255438446998596},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3676883578300476},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.36627405881881714},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.2044006586074829},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.18088337779045105},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1382634937763214},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09635347127914429},{"id":"https://openalex.org/keywords/infectious-disease","display_name":"Infectious disease (medical specialty)","score":0.09139436483383179}],"concepts":[{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.7370267510414124},{"id":"https://openalex.org/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"score":0.6533453464508057},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.5557171106338501},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.5423415899276733},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46764418482780457},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4618460536003113},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.44255438446998596},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3676883578300476},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.36627405881881714},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.2044006586074829},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.18088337779045105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1382634937763214},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09635347127914429},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.09139436483383179},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/jsit-02-2023-0027","is_oa":false,"landing_page_url":"https://doi.org/10.1108/jsit-02-2023-0027","pdf_url":null,"source":{"id":"https://openalex.org/S39868070","display_name":"Journal of Systems and Information Technology","issn_l":"1328-7265","issn":["1328-7265","1758-8847"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Systems and Information Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.6299999952316284,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W611000878","https://openalex.org/W1128809682","https://openalex.org/W1990368529","https://openalex.org/W1995450389","https://openalex.org/W1997797346","https://openalex.org/W2009041181","https://openalex.org/W2020448260","https://openalex.org/W2033571834","https://openalex.org/W2034960640","https://openalex.org/W2038869480","https://openalex.org/W2046747375","https://openalex.org/W2127218421","https://openalex.org/W2150593711","https://openalex.org/W2287269557","https://openalex.org/W2592377938","https://openalex.org/W2597761542","https://openalex.org/W2606575226","https://openalex.org/W2608185176","https://openalex.org/W2764176914","https://openalex.org/W2938276606","https://openalex.org/W2979785481","https://openalex.org/W3012690896","https://openalex.org/W3015619547","https://openalex.org/W3080586773","https://openalex.org/W3088697137","https://openalex.org/W3111137964","https://openalex.org/W3112115251","https://openalex.org/W3129388766","https://openalex.org/W3142657522","https://openalex.org/W3164467605","https://openalex.org/W3185740720","https://openalex.org/W3193750606","https://openalex.org/W4309047247","https://openalex.org/W4310225030","https://openalex.org/W4312054485","https://openalex.org/W4366169553","https://openalex.org/W4390338817"],"related_works":["https://openalex.org/W3136336094","https://openalex.org/W4200558412","https://openalex.org/W120539917","https://openalex.org/W3165628818","https://openalex.org/W4298130764","https://openalex.org/W4281740907","https://openalex.org/W4281257067","https://openalex.org/W3131084444","https://openalex.org/W2804364458","https://openalex.org/W3118468330"],"abstract_inverted_index":{"Purpose":[0],"The":[1,171,196],"COVID-19":[2,98],"pandemic":[3],"has":[4],"posed":[5],"many":[6],"challenges":[7,27],"in":[8,28,44,110,215,228,278],"almost":[9],"all":[10],"sectors":[11],"around":[12],"the":[13,17,97,101,120,128,155,166,169,193,203,211,249,252,258,268,281],"globe.":[14],"Because":[15],"of":[16,90,103,168,185,198,231,251,283],"pandemic,":[18],"government":[19],"entities":[20,224],"responsible":[21],"for":[22,56],"managing":[23,29,223],"health-care":[24],"resources":[25,222,238],"face":[26],"and":[30,34,58,148,179,209,239,267,274],"distributing":[31],"their":[32,115,237],"limited":[33],"valuable":[35],"health":[36,221],"resources.":[37],"In":[38,125],"addition,":[39],"severe":[40],"outbreaks":[41],"may":[42],"occur":[43],"a":[45,78,91,111,131,137,150,190,216],"small":[46],"or":[47,75],"large":[48],"geographical":[49],"area.":[50],"Therefore,":[51,100],"county-level":[52,83],"preparation":[53],"is":[54,106,257],"crucial":[55],"officials":[57],"organizations":[59],"who":[60],"manage":[61,119],"such":[62,85],"disease":[63],"outbreaks.":[64],"However,":[65],"most":[66,212],"COVID-19-related":[67,116],"research":[68,105],"projects":[69],"have":[70,81],"focused":[71],"on":[72,114],"either":[73],"state-":[74],"country-level.":[76],"Only":[77],"few":[79],"studies":[80],"considered":[82],"preparations,":[84],"as":[86],"identifying":[87],"high-risk":[88],"counties":[89,109,142,214,227,243,277],"particular":[92,217],"state":[93,112,220,276],"to":[94,107,118,140,160,165,260,272],"fight":[95],"against":[96],"pandemic.":[99,170],"purpose":[102],"this":[104,126,199,255],"prioritize":[108],"based":[113],"risks":[117],"COVID":[121,146],"outbreak":[122],"effectively.":[123],"Design/methodology/approach":[124],"research,":[127],"authors":[129],"use":[130,149,261],"systematic":[132],"hybrid":[133],"approach":[134,153,205,266],"that":[135,143,202],"uses":[136],"clustering":[138,172],"technique":[139],"group":[141],"share":[144],"similar":[145],"conditions":[147],"multi-criteria":[151],"decision-making":[152],"\u2013":[154,159],"analytic":[156,269],"hierarchy":[157,270],"process":[158,271],"rank":[161,210,275],"clusters":[162],"with":[163,280],"respect":[164],"severity":[167,282],"was":[173,187],"performed":[174],"using":[175],"two":[176],"methods,":[177],"k-means":[178],"fuzzy":[180],"c-means,":[181],"but":[182],"only":[183],"one":[184],"them":[186],"used":[188],"at":[189],"time":[191],"during":[192],"experiment.":[194],"Findings":[195],"results":[197],"study":[200,256],"indicate":[201],"proposed":[204],"can":[206,225],"effectively":[207],"identify":[208,226,273],"vulnerable":[213],"state.":[218],"Hence,":[219],"desperate":[229],"need":[230],"more":[232],"attention":[233],"before":[234,244],"they":[235],"allocate":[236],"better":[240],"prepare":[241],"those":[242],"another":[245],"surge.":[246],"Originality/value":[247],"To":[248],"best":[250],"authors\u2019":[253],"knowledge,":[254],"first":[259],"both":[262],"an":[263],"unsupervised":[264],"learning":[265],"accordance":[279],"COVID-19.":[284]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}