{"id":"https://openalex.org/W3131448908","doi":"https://doi.org/10.1186/s40537-021-00423-z","title":"Modeling and tracking Covid-19 cases using Big Data analytics on HPCC system platform","display_name":"Modeling and tracking Covid-19 cases using Big Data analytics on HPCC system platform","publication_year":2021,"publication_date":"2021-02-15","ids":{"openalex":"https://openalex.org/W3131448908","doi":"https://doi.org/10.1186/s40537-021-00423-z","mag":"3131448908","pmid":"https://pubmed.ncbi.nlm.nih.gov/33614394"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-021-00423-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-021-00423-z","pdf_url":"https://link.springer.com/content/pdf/10.1186/s40537-021-00423-z.pdf","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1186/s40537-021-00423-z.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073869382","display_name":"Flavio Villanustre","orcid":"https://orcid.org/0000-0003-4373-4250"},"institutions":[{"id":"https://openalex.org/I4210094785","display_name":"Lexicon Pharmaceuticals (United States)","ror":"https://ror.org/00v64s089","country_code":"US","type":"company","lineage":["https://openalex.org/I4210094785"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Flavio Villanustre","raw_affiliation_strings":["LexisNexis Risk Solutions, Atlanta, Georgia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LexisNexis Risk Solutions, Atlanta, Georgia","institution_ids":["https://openalex.org/I4210094785"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080518580","display_name":"Arjuna Chala","orcid":null},"institutions":[{"id":"https://openalex.org/I4210094785","display_name":"Lexicon Pharmaceuticals (United States)","ror":"https://ror.org/00v64s089","country_code":"US","type":"company","lineage":["https://openalex.org/I4210094785"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arjuna Chala","raw_affiliation_strings":["LexisNexis Risk Solutions, Atlanta, Georgia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LexisNexis Risk Solutions, Atlanta, Georgia","institution_ids":["https://openalex.org/I4210094785"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033177104","display_name":"Roger Dev","orcid":null},"institutions":[{"id":"https://openalex.org/I4210094785","display_name":"Lexicon Pharmaceuticals (United States)","ror":"https://ror.org/00v64s089","country_code":"US","type":"company","lineage":["https://openalex.org/I4210094785"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Roger Dev","raw_affiliation_strings":["LexisNexis Risk Solutions, Atlanta, Georgia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LexisNexis Risk Solutions, Atlanta, Georgia","institution_ids":["https://openalex.org/I4210094785"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026776669","display_name":"Lili Xu","orcid":"https://orcid.org/0000-0002-7766-9808"},"institutions":[{"id":"https://openalex.org/I4210094785","display_name":"Lexicon Pharmaceuticals (United States)","ror":"https://ror.org/00v64s089","country_code":"US","type":"company","lineage":["https://openalex.org/I4210094785"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lili Xu","raw_affiliation_strings":["LexisNexis Risk Solutions, Atlanta, Georgia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LexisNexis Risk Solutions, Atlanta, Georgia","institution_ids":["https://openalex.org/I4210094785"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054360301","display_name":"Jesse Shaw LexisNexis","orcid":null},"institutions":[{"id":"https://openalex.org/I4210094785","display_name":"Lexicon Pharmaceuticals (United States)","ror":"https://ror.org/00v64s089","country_code":"US","type":"company","lineage":["https://openalex.org/I4210094785"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jesse Shaw LexisNexis","raw_affiliation_strings":["LexisNexis Risk Solutions, Atlanta, Georgia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LexisNexis Risk Solutions, Atlanta, Georgia","institution_ids":["https://openalex.org/I4210094785"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057260089","display_name":"Borko Furht","orcid":"https://orcid.org/0000-0002-3584-9659"},"institutions":[{"id":"https://openalex.org/I63772739","display_name":"Florida Atlantic University","ror":"https://ror.org/05p8w6387","country_code":"US","type":"education","lineage":["https://openalex.org/I63772739"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Borko Furht","raw_affiliation_strings":["Florida Atlantic University, Boca Raton, FL USA","Florida Atlantic University, Boca Raton, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Florida Atlantic University, Boca Raton, FL USA","institution_ids":["https://openalex.org/I63772739"]},{"raw_affiliation_string":"Florida Atlantic University, Boca Raton, FL, USA","institution_ids":["https://openalex.org/I63772739"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089170562","display_name":"Taghi M. Khoshgoftaar","orcid":null},"institutions":[{"id":"https://openalex.org/I63772739","display_name":"Florida Atlantic University","ror":"https://ror.org/05p8w6387","country_code":"US","type":"education","lineage":["https://openalex.org/I63772739"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Taghi Khoshgoftaar","raw_affiliation_strings":["Florida Atlantic University, Boca Raton, FL USA","Florida Atlantic University, Boca Raton, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Florida Atlantic University, Boca Raton, FL USA","institution_ids":["https://openalex.org/I63772739"]},{"raw_affiliation_string":"Florida Atlantic University, Boca Raton, FL, USA","institution_ids":["https://openalex.org/I63772739"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5057260089"],"corresponding_institution_ids":["https://openalex.org/I63772739"],"apc_list":{"value":1060,"currency":"GBP","value_usd":1300},"apc_paid":{"value":1060,"currency":"GBP","value_usd":1300},"fwci":4.3028,"has_fulltext":true,"cited_by_count":31,"citation_normalized_percentile":{"value":0.94751106,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"8","issue":"1","first_page":"33","last_page":"33"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T10410","display_name":"COVID-19 epidemiological studies","score":0.9894999861717224,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9850999712944031,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pandemic","display_name":"Pandemic","score":0.7909079790115356},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.6280721426010132},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6136777400970459},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5818213224411011},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5802175402641296},{"id":"https://openalex.org/keywords/china","display_name":"China","score":0.5693857669830322},{"id":"https://openalex.org/keywords/globe","display_name":"Globe","score":0.5415006875991821},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5183766484260559},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.37626898288726807},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3384934067726135},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.3105655312538147},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2954990863800049},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.2890153229236603},{"id":"https://openalex.org/keywords/environmental-health","display_name":"Environmental health","score":0.1998235285282135},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.19123899936676025},{"id":"https://openalex.org/keywords/infectious-disease","display_name":"Infectious disease (medical specialty)","score":0.1733454465866089},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.09445458650588989}],"concepts":[{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.7909079790115356},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.6280721426010132},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6136777400970459},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5818213224411011},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5802175402641296},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.5693857669830322},{"id":"https://openalex.org/C2775899829","wikidata":"https://www.wikidata.org/wiki/Q3109007","display_name":"Globe","level":2,"score":0.5415006875991821},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5183766484260559},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.37626898288726807},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3384934067726135},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.3105655312538147},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2954990863800049},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.2890153229236603},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.1998235285282135},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.19123899936676025},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.1733454465866089},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.09445458650588989},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C118487528","wikidata":"https://www.wikidata.org/wiki/Q161437","display_name":"Ophthalmology","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1186/s40537-021-00423-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-021-00423-z","pdf_url":"https://link.springer.com/content/pdf/10.1186/s40537-021-00423-z.pdf","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},{"id":"pmid:33614394","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33614394","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of big data","raw_type":null},{"id":"pmh:oai:doaj.org/article:e1377e9010cc4cc4bc738608ea59f001","is_oa":true,"landing_page_url":"https://doaj.org/article/e1377e9010cc4cc4bc738608ea59f001","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Big Data, Vol 8, Iss 1, Pp 1-24 (2021)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:7883950","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7883950","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Big Data","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/s40537-021-00423-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-021-00423-z","pdf_url":"https://link.springer.com/content/pdf/10.1186/s40537-021-00423-z.pdf","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G10607099","display_name":null,"funder_award_id":"NSF RAPID: IIS-2027890","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3131448908.pdf","grobid_xml":"https://content.openalex.org/works/W3131448908.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1969198379","https://openalex.org/W1991288592","https://openalex.org/W2061820396","https://openalex.org/W2070645266","https://openalex.org/W2085600761","https://openalex.org/W2111012903","https://openalex.org/W2140540364","https://openalex.org/W2150065112","https://openalex.org/W2152152036","https://openalex.org/W2165483146","https://openalex.org/W2166022262","https://openalex.org/W2171577813","https://openalex.org/W2520071358","https://openalex.org/W2603530220","https://openalex.org/W3008028633","https://openalex.org/W3011305849","https://openalex.org/W3011445852","https://openalex.org/W3012690896","https://openalex.org/W3014093633","https://openalex.org/W3036937686","https://openalex.org/W3133236490","https://openalex.org/W4299515571","https://openalex.org/W4302331569","https://openalex.org/W6735386004"],"related_works":["https://openalex.org/W1539266347","https://openalex.org/W2267913355","https://openalex.org/W2788570199","https://openalex.org/W2000787479","https://openalex.org/W4248006302","https://openalex.org/W4401848524","https://openalex.org/W1488904332","https://openalex.org/W4256453413","https://openalex.org/W3045785873","https://openalex.org/W4378605586"],"abstract_inverted_index":{"This":[0,540],"project":[1,27,179,862],"is":[2,28,84,89,120,168,231,414,663,753,831,863,879],"funded":[3],"by":[4,441,536,598],"the":[5,17,33,72,75,110,127,136,164,184,193,196,202,236,251,304,376,445,448,484,497,502,528,569,584,591,652,691,694,707,718,721,751,758,777,780,788,804,852,874,883],"US":[6,666],"National":[7],"Science":[8,42],"Foundation":[9],"(NSF)":[10],"through":[11],"their":[12,578],"NSF":[13,675],"RAPID":[14],"program":[15],"under":[16],"title":[18],"\"Modeling":[19],"Corona":[20,596,641,655],"Spread":[21,622],"Using":[22,624],"Big":[23,628,759],"Data":[24,629,760],"Analytics.\"":[25],"The":[26,53,681,730,747,782,821,861,869],"a":[29,46,86,90,287,422,452,517,593,664,671,684,714,727,733,792,837,847,856],"joint":[30],"effort":[31],"between":[32],"Department":[34],"of":[35,77,115,159,183,188,195,235,253,277,303,378,424,451,499,531,562,595,654,673,683,690,693,717,750,757,769,776,859],"Computer":[36,41],"&":[37],"Electrical":[38],"Engineering":[39],"and":[40,45,64,99,107,113,147,153,156,221,248,256,261,318,384,396,477,527,538,576,605,623,631,648,670,687,700,740,767,795,801,828,854,865],"at":[43,103,192,205],"FAU":[44],"research":[47,612],"group":[48],"from":[49,246,271,336,523,611,765],"LexisNexis":[50,875],"Risk":[51,827],"Solutions.":[52],"novel":[54,91],"coronavirus":[55],"Covid-19":[56,83,116,165,413,442,710,785,789],"originated":[57],"in":[58,60,214,223,263,327,348,357,406,558,613,650,726,882],"China":[59,247,272],"early":[61,449],"December":[62],"2019":[63],"has":[65,101,421,843],"rapidly":[66],"spread":[67,167,443,597,616],"to":[68,134,178,204,299,339,463,482,510,521,525,580,638,773,779,799,803,851],"many":[69],"countries":[70,106],"around":[71],"globe,":[73],"with":[74,93,310,386,393,401,486,660,720,836],"number":[76,186,653],"confirmed":[78],"cases":[79,817],"increasing":[80],"every":[81],"day.":[82],"officially":[85],"pandemic.":[87],"It":[88,806],"infection":[92],"serious":[94],"clinical":[95],"manifestations,":[96],"including":[97],"death,":[98],"it":[100,119],"reached":[102],"least":[104,206],"124":[105],"territories.":[108],"Although":[109],"ultimate":[111],"course":[112],"impact":[114],"are":[117,172,281,366,458,475,481],"uncertain,":[118],"not":[121],"merely":[122],"possible":[123,560],"but":[124],"likely":[125,479],"that":[126,174,191,232,274,289,291,466,495],"disease":[128,395,485],"will":[129,644],"produce":[130],"enough":[131],"severe":[132,316],"illness":[133,317,323],"overwhelm":[135],"worldwide":[137],"health":[138,152,154,429],"care":[139],"infrastructure.":[140],"Emerging":[141],"viral":[142],"pandemics":[143],"can":[144,175,467,567,696],"place":[145],"extraordinary":[146],"sustained":[148],"demands":[149],"on":[150,157,209,433,744,755,791,833,867,873],"public":[151],"systems":[155],"providers":[158],"essential":[160],"community":[161],"services.":[162],"Modeling":[163,620],"pandemic":[166,695,719],"challenging.":[169],"But":[170],"there":[171],"data":[173,245,457,602,667,748,771,778,790],"be":[176,473],"used":[177],"resource":[180],"demands.":[181],"Estimates":[182],"reproductive":[185],"(R)":[187],"SARS-CoV-2":[189],"show":[190],"beginning":[194],"epidemic,":[197],"each":[198,563,812],"infected":[199,240,279,309,474,533],"person":[200,524,526],"spreads":[201],"virus":[203,723],"two":[207],"others,":[208],"average":[210],"(Emanuel":[211,324,345,403],"et":[212,325,346,355,404,618],"al.":[213,326,347,356,405,619],"N":[215,328,349,407],"Engl":[216,329,350,408],"J":[217,330,351,409],"Med.":[218,331,352,410],"2020,":[219,353],"Livingston":[220],"Bucher":[222],"JAMA":[224,264],"323(14):1335,":[225],"2020).":[226,266,332,362,411],"A":[227,267],"conservatively":[228],"low":[229],"estimate":[230],"5":[233,319],"%":[234,276,302,314,320,338,344,390,398],"population":[237],"could":[238,472],"become":[239],"within":[241,702],"3":[242],"months.":[243],"Preliminary":[244],"Italy":[249],"regarding":[250],"distribution":[252],"case":[254],"severity":[255],"fatality":[257,364],"vary":[258],"widely":[259],"(Wu":[260],"McGoogan":[262],"323(13):1239-42,":[265],"recent":[268],"large-scale":[269],"analysis":[270,689,810,823],"suggests":[273],"80":[275,379],"those":[278,385,392,400,439],"either":[280],"asymptomatic":[282],"or":[283],"have":[284,315,321],"mild":[285],"symptoms;":[286],"finding":[288],"implies":[290],"demand":[292],"for":[293,369,391,399,583,677,811],"advanced":[294],"medical":[295],"services":[296],"might":[297],"apply":[298],"only":[300],"20":[301],"total":[305],"infected.":[306],"Of":[307],"patients":[308],"Covid-19,":[311],"about":[312,546],"15":[313],"critical":[322],"Overall,":[333,412],"mortality":[334,423],"ranges":[335],"0.25":[337],"as":[340,342,373,438,516,550,571,738,815,825,846],"high":[341],"3.0":[343],"Wilson":[354],"Emerg":[358],"Infect":[359],"Dis":[360],"26(6):1339,":[361],"Case":[363],"rates":[365],"much":[367],"higher":[368],"vulnerable":[370],"populations,":[371],"such":[372,437,515,549,814,824],"persons":[374],"over":[375],"age":[377],"years":[380],"(>":[381],"14":[382],"%)":[383],"coexisting":[387],"conditions":[388],"(10":[389],"cardiovascular":[394],"7":[397],"diabetes)":[402],"substantially":[415],"deadlier":[416],"than":[417],"seasonal":[418],"influenza,":[419],"which":[420,662,712,878],"roughly":[425],"0.1":[426],"%.":[427],"Public":[428],"efforts":[430],"depend":[431],"heavily":[432],"predicting":[434],"how":[435,478],"diseases":[436],"caused":[440],"across":[444],"globe.":[446],"During":[447],"days":[450],"new":[453,572,646,816],"outbreak,":[454],"when":[455],"reliable":[456],"still":[459],"scarce,":[460],"researchers":[461,566],"turn":[462],"mathematical":[464],"models":[465,509,570],"predict":[468],"where":[469],"people":[470,534],"who":[471],"going":[476],"they":[480],"bring":[483],"them.":[487],"These":[488],"computational":[489,505],"methods":[490],"use":[491],"known":[492,737],"statistical":[493,809],"equations":[494],"calculate":[496],"probability":[498],"individuals":[500],"transmitting":[501],"illness.":[503,585],"Modern":[504],"power":[506],"allows":[507],"these":[508],"quickly":[511],"incorporate":[512],"multiple":[513],"inputs,":[514],"given":[518],"disease's":[519],"ability":[520],"pass":[522],"movement":[529],"patterns":[530,582],"potentially":[532],"traveling":[535],"air":[537],"land.":[539],"process":[541],"sometimes":[542],"involves":[543],"making":[544],"assumptions":[545],"unknown":[547],"factors,":[548],"an":[551],"individual's":[552],"exact":[553],"travel":[554],"pattern.":[555],"By":[556],"plugging":[557],"different":[559],"versions":[561],"input,":[564],"however,":[565],"update":[568],"information":[573],"becomes":[574],"available":[575,849,866],"compare":[577],"results":[579],"observed":[581],"In":[586],"this":[587],"paper":[588],"we":[589,643],"describe":[590],"development":[592],"model":[594,640,736,835],"using":[599],"innovative":[600],"big":[601],"analytics":[603,668],"techniques":[604],"tools.":[606],"We":[607,657],"leveraged":[608],"our":[609,674],"experience":[610],"modeling":[614],"Ebola":[615,621],"(Shaw":[617],"HPCC/KEL":[625],"System.":[626],"In:":[627],"Technologies":[630],"Applications":[632],"2016":[633],"(pp.":[634],"347-385).":[635],"Springer,":[636],"Cham)":[637],"successfully":[639],"spread,":[642],"obtain":[645],"results,":[647],"help":[649],"reducing":[651],"patients.":[656],"closely":[658],"collaborated":[659],"LexisNexis,":[661],"leading":[665],"company":[669],"member":[672],"I/UCRC":[676],"Advanced":[678],"Knowledge":[679],"Enablement.":[680],"lack":[682],"comprehensive":[685],"view":[686,716],"informative":[688,722],"status":[692],"also":[697,807],"cause":[698],"panic":[699],"instability":[701],"society.":[703],"Our":[704,841],"work":[705,842],"proposes":[706],"HPCC":[708,763,783,876],"Systems":[709,784],"tracker,":[711],"provides":[713,808],"multi-level":[715],"spreading":[724,741],"indicators":[725,742],"timely":[728],"manner.":[729],"system":[731,870],"embeds":[732],"classical":[734],"epidemiological":[735],"SIR":[739],"based":[743,832],"causal":[745,834],"model.":[746],"solution":[749],"tracker":[752,786],"built":[754],"top":[756],"processing":[761],"platform":[762],"Systems,":[764,877],"ingesting":[766],"tracking":[768],"various":[770],"sources":[772],"fast":[774],"delivery":[775],"public.":[781],"presents":[787],"daily,":[793],"weekly,":[794],"cumulative":[796],"basis":[797],"up":[798],"global-level":[800],"down":[802],"county-level.":[805],"level":[813],"per":[818],"100,000":[819],"population.":[820],"primary":[822],"Contagion":[826],"Infection":[829],"State":[830],"seven-day":[838],"sliding":[839],"window.":[840],"been":[844],"released":[845],"publicly":[848],"website":[850],"world":[853],"attracted":[855],"great":[857],"volume":[858],"traffic.":[860],"open-sourced":[864],"GitHub.":[868],"was":[871],"developed":[872],"briefly":[880],"described":[881],"paper.":[884]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":8}],"updated_date":"2026-06-16T07:32:37.131356","created_date":"2025-10-10T00:00:00"}