{"id":"https://openalex.org/W3152403841","doi":"https://doi.org/10.1109/asonam49781.2020.9381414","title":"COVID19 Tracking: An Interactive Tracking, Visualizing and Analyzing Platform","display_name":"COVID19 Tracking: An Interactive Tracking, Visualizing and Analyzing Platform","publication_year":2020,"publication_date":"2020-12-07","ids":{"openalex":"https://openalex.org/W3152403841","doi":"https://doi.org/10.1109/asonam49781.2020.9381414","mag":"3152403841"},"language":"en","primary_location":{"id":"doi:10.1109/asonam49781.2020.9381414","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam49781.2020.9381414","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","raw_type":"proceedings-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/A5102760058","display_name":"Zhou Yang","orcid":"https://orcid.org/0000-0001-6610-9664"},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zhou Yang","raw_affiliation_strings":["Department of Statistics, George Washington University"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, George Washington University","institution_ids":["https://openalex.org/I193531525"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113115928","display_name":"Jiwei Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiwei Xu","raw_affiliation_strings":["Long Bridge Hk Limited"],"affiliations":[{"raw_affiliation_string":"Long Bridge Hk Limited","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083206555","display_name":"Zhenhe Pan","orcid":null},"institutions":[{"id":"https://openalex.org/I12315562","display_name":"Texas Tech University","ror":"https://ror.org/0405mnx93","country_code":"US","type":"education","lineage":["https://openalex.org/I12315562"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhenhe Pan","raw_affiliation_strings":["Texas Tech University"],"affiliations":[{"raw_affiliation_string":"Texas Tech University","institution_ids":["https://openalex.org/I12315562"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101706801","display_name":"Fang Jin","orcid":"https://orcid.org/0000-0002-6606-5232"},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fang Jin","raw_affiliation_strings":["Department of Statistics, George Washington University"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, George Washington University","institution_ids":["https://openalex.org/I193531525"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102760058"],"corresponding_institution_ids":["https://openalex.org/I193531525"],"apc_list":null,"apc_paid":null,"fwci":1.1577,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.80167811,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"941","last_page":"943"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9883000254631042,"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"}},"topics":[{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9883000254631042,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9563000202178955,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9229999780654907,"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/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.7753934264183044},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.7743020057678223},{"id":"https://openalex.org/keywords/pandemic","display_name":"Pandemic","score":0.748100757598877},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6886555552482605},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5854625105857849},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.49451944231987},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4894832372665405},{"id":"https://openalex.org/keywords/china","display_name":"China","score":0.4675513505935669},{"id":"https://openalex.org/keywords/dynamics","display_name":"Dynamics (music)","score":0.434081494808197},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.3531358242034912},{"id":"https://openalex.org/keywords/infectious-disease","display_name":"Infectious disease (medical specialty)","score":0.23266050219535828},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.18586277961730957},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.18302392959594727},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.12315091490745544}],"concepts":[{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.7753934264183044},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.7743020057678223},{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.748100757598877},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6886555552482605},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5854625105857849},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.49451944231987},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4894832372665405},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.4675513505935669},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.434081494808197},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.3531358242034912},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.23266050219535828},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.18586277961730957},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.18302392959594727},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.12315091490745544},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asonam49781.2020.9381414","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam49781.2020.9381414","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8700000047683716,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2957552952","https://openalex.org/W3008443627","https://openalex.org/W3106368210"],"related_works":["https://openalex.org/W2013728941","https://openalex.org/W4225274103","https://openalex.org/W2154046714","https://openalex.org/W2189613078","https://openalex.org/W2579659702","https://openalex.org/W2923661510","https://openalex.org/W1574055964","https://openalex.org/W1965329638","https://openalex.org/W2542318691","https://openalex.org/W3160708108"],"abstract_inverted_index":{"The":[0],"Coronavirus":[1],"Disease":[2],"2019":[3],"(COVID-19)":[4],"has":[5],"now":[6],"become":[7],"a":[8,30,94],"pandemic,":[9],"inflicting":[10],"millions":[11],"of":[12,17,19,26,41,55,71,97,132,136],"people":[13],"and":[14,34,59,88,104,127,159,166,169],"causing":[15],"tens":[16],"thousands":[18],"deaths.":[20],"To":[21],"better":[22],"understand":[23,151],"the":[24,39,42,52,64,68,98,107,129,133,156],"dynamics":[25,40,101,158],"COVID-19,":[27],"we":[28],"present":[29],"comprehensive":[31],"COVID-19":[32,43,56,72,137],"tracking":[33],"visualization":[35,53],"platform":[36],"that":[37,153],"pinpoints":[38],"worldwide.":[44,138],"Four":[45],"essential":[46],"components":[47],"are":[48],"implemented:":[49],"1)":[50],"presenting":[51],"map":[54],"confirmed":[57,81],"cases":[58,82],"total":[60],"counts":[61],"all":[62],"over":[63],"world;":[65],"2)":[66],"showing":[67,105],"worldwide":[69],"trends":[70],"at":[73],"multi-grained":[74,95],"levels;":[75],"3)":[76],"provide":[77],"multiview":[78],"comparisons,":[79],"including":[80],"per":[83],"million":[84],"people,":[85],"mortality":[86],"rate":[87],"accumulative":[89],"cure":[90],"rate;":[91],"4)":[92],"integrating":[93],"view":[96],"disease":[99,120],"spreading":[100,121,134],"in":[102,113,147],"China":[103],"how":[106],"epidemic":[108],"is":[109],"taken":[110],"under":[111],"control":[112],"China.":[114],"This":[115,139],"demo":[116,140],"will":[117],"spur":[118],"further":[119],"modeling":[122],"for":[123],"researchers,":[124],"support":[125],"decision-maker,":[126],"enrich":[128],"public":[130],"awareness":[131],"situations":[135],"offers":[141],"decision-makers":[142],"with":[143],"accurate":[144],"data-driven":[145],"representations":[146],"an":[148],"easy":[149],"to":[150,162],"format":[152],"informs":[154],"them":[155,161],"pandemic":[157],"enables":[160],"make":[163],"more":[164],"timely":[165],"cost-effective":[167],"preparation":[168],"response":[170],"plans.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}