{"id":"https://openalex.org/W3034373693","doi":"https://doi.org/10.1145/3397271.3401429","title":"Be Aware of the Hot Zone: A Warning System of Hazard Area Prediction to Intervene Novel Coronavirus COVID-19 Outbreak","display_name":"Be Aware of the Hot Zone: A Warning System of Hazard Area Prediction to Intervene Novel Coronavirus COVID-19 Outbreak","publication_year":2020,"publication_date":"2020-07-25","ids":{"openalex":"https://openalex.org/W3034373693","doi":"https://doi.org/10.1145/3397271.3401429","mag":"3034373693"},"language":"en","primary_location":{"id":"doi:10.1145/3397271.3401429","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3397271.3401429","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval","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/A5112559463","display_name":"Zhenxin Fu","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhenxin Fu","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101906783","display_name":"Yu Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Wu","raw_affiliation_strings":["Peking University Health Science Center, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University Health Science Center, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069565984","display_name":"Hailei Zhang","orcid":"https://orcid.org/0000-0002-2600-112X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hailei Zhang","raw_affiliation_strings":["Laiye Technology Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Laiye Technology Inc., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040260907","display_name":"Yichuan Hu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yichuan Hu","raw_affiliation_strings":["Laiye Technology Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Laiye Technology Inc., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037132097","display_name":"Dongyan Zhao","orcid":"https://orcid.org/0000-0002-0396-6703"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongyan Zhao","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100716372","display_name":"Rui Yan","orcid":"https://orcid.org/0000-0002-3356-6823"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Yan","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5112559463"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.3789,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.67677306,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2241","last_page":"2250"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9998000264167786,"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":0.9998000264167786,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9980999827384949,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9962000250816345,"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/outbreak","display_name":"Outbreak","score":0.7826665639877319},{"id":"https://openalex.org/keywords/pandemic","display_name":"Pandemic","score":0.6262732744216919},{"id":"https://openalex.org/keywords/coronavirus","display_name":"Coronavirus","score":0.5567432045936584},{"id":"https://openalex.org/keywords/hazard","display_name":"Hazard","score":0.4779275059700012},{"id":"https://openalex.org/keywords/public-health","display_name":"Public health","score":0.4757780134677887},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.4560742974281311},{"id":"https://openalex.org/keywords/china","display_name":"China","score":0.4494459629058838},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.438287615776062},{"id":"https://openalex.org/keywords/psychological-intervention","display_name":"Psychological intervention","score":0.41035032272338867},{"id":"https://openalex.org/keywords/environmental-health","display_name":"Environmental health","score":0.39771705865859985},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.36635881662368774},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.3653447926044464},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.34978365898132324},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.27580827474594116},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.21413162350654602},{"id":"https://openalex.org/keywords/virology","display_name":"Virology","score":0.19223856925964355},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09185317158699036}],"concepts":[{"id":"https://openalex.org/C116675565","wikidata":"https://www.wikidata.org/wiki/Q3241045","display_name":"Outbreak","level":2,"score":0.7826665639877319},{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.6262732744216919},{"id":"https://openalex.org/C2777648638","wikidata":"https://www.wikidata.org/wiki/Q57751738","display_name":"Coronavirus","level":5,"score":0.5567432045936584},{"id":"https://openalex.org/C49261128","wikidata":"https://www.wikidata.org/wiki/Q1132455","display_name":"Hazard","level":2,"score":0.4779275059700012},{"id":"https://openalex.org/C138816342","wikidata":"https://www.wikidata.org/wiki/Q189603","display_name":"Public health","level":2,"score":0.4757780134677887},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.4560742974281311},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.4494459629058838},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.438287615776062},{"id":"https://openalex.org/C27415008","wikidata":"https://www.wikidata.org/wiki/Q7256382","display_name":"Psychological intervention","level":2,"score":0.41035032272338867},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.39771705865859985},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36635881662368774},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.3653447926044464},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.34978365898132324},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.27580827474594116},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.21413162350654602},{"id":"https://openalex.org/C159047783","wikidata":"https://www.wikidata.org/wiki/Q7215","display_name":"Virology","level":1,"score":0.19223856925964355},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09185317158699036},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3397271.3401429","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3397271.3401429","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8600000143051147,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1532325895","https://openalex.org/W1930624869","https://openalex.org/W2020165868","https://openalex.org/W2064850047","https://openalex.org/W2072128103","https://openalex.org/W2108263314","https://openalex.org/W2119717200","https://openalex.org/W2148301044","https://openalex.org/W2339852062","https://openalex.org/W2553303224","https://openalex.org/W2739634080","https://openalex.org/W2768149277","https://openalex.org/W2913077324","https://openalex.org/W2964008635","https://openalex.org/W2999409984","https://openalex.org/W3001118548","https://openalex.org/W3001897055","https://openalex.org/W3002764620","https://openalex.org/W3003217347","https://openalex.org/W3003487504","https://openalex.org/W3003573988","https://openalex.org/W3003668884","https://openalex.org/W3004318991","https://openalex.org/W3005091255","https://openalex.org/W3005847234","https://openalex.org/W3007602081","https://openalex.org/W3010223921","https://openalex.org/W3011176674","https://openalex.org/W3012180666","https://openalex.org/W3013798480","https://openalex.org/W3082757469","https://openalex.org/W3121299688","https://openalex.org/W4231934124","https://openalex.org/W4232743627","https://openalex.org/W4256300792"],"related_works":["https://openalex.org/W2373635223","https://openalex.org/W2412355096","https://openalex.org/W1990012352","https://openalex.org/W2431766951","https://openalex.org/W2127290136","https://openalex.org/W3201614372","https://openalex.org/W3048636488","https://openalex.org/W3028088776","https://openalex.org/W3177863878","https://openalex.org/W3049487096"],"abstract_inverted_index":{"Dating":[0],"back":[1],"from":[2,105,173,202],"late":[3],"December":[4],"2019,":[5],"the":[6,50,56,64,68,76,80,106,114,118,121,138,171,174,244,247,249],"Chinese":[7],"city":[8],"of":[9,15,63,70,90,140,155,162,226,241,252],"Wuhan":[10],"has":[11,87,219],"reported":[12],"an":[13],"outbreak":[14,52,82,108],"atypical":[16],"pneumonia,":[17],"now":[18],"known":[19],"as":[20],"lung":[21],"inflammation":[22],"caused":[23],"by":[24],"novel":[25],"coronavirus":[26,51,81,122],"(COVID-19).":[27],"Cases":[28],"have":[29,130],"spread":[30],"to":[31,116,150,153,197],"other":[32],"cities":[33],"in":[34,67,94,110,124,224,243],"China":[35,111],"and":[36,41,55,86,112,159,210,232],"more":[37],"than":[38],"180":[39],"countries":[40],"regions":[42],"internationally.":[43],"World":[44],"Health":[45],"Organization":[46],"(WHO)":[47],"officially":[48],"declares":[49],"a":[53,132],"pandemic":[54],"public":[57],"health":[58],"emergency":[59],"is":[60,83,149],"perhaps":[61],"one":[62],"top":[65],"concerns":[66],"year":[69],"2020":[71],"for":[72],"governments":[73],"all":[74],"over":[75],"world.":[77],"Till":[78],"today,":[79],"still":[84],"raging":[85],"no":[88],"sign":[89],"being":[91],"under":[92],"control":[93],"many":[95],"countries.":[96],"In":[97],"this":[98,127],"paper,":[99],"we":[100,129,195],"aim":[101],"at":[102],"drawing":[103],"lessons":[104],"COVID-19":[107],"process":[109],"using":[113],"experiences":[115],"help":[117,242],"interventions":[119],"against":[120,246],"wherever":[123],"need.":[125],"To":[126],"end,":[128],"built":[131],"system":[133],"predicting":[134],"hazard":[135],"areas":[136],"on":[137,184],"basis":[139],"confirmed":[141],"infection":[142],"cases":[143],"with":[144,188,214],"location":[145],"information.":[146],"The":[147],"purpose":[148],"warn":[151],"people":[152],"avoid":[154],"such":[156],"hot":[157],"zones":[158],"reduce":[160],"risks":[161],"disease":[163],"transmission":[164],"through":[165],"droplets":[166],"or":[167],"contacts.":[168],"We":[169,234],"analyze":[170],"data":[172],"daily":[175],"official":[176],"information":[177],"release":[178],"which":[179],"are":[180],"publicly":[181],"accessible.":[182],"Based":[183],"standard":[185],"classification":[186],"frameworks":[187],"reinforcements":[189],"incrementally":[190],"learned":[191],"day":[192],"after":[193],"day,":[194],"manage":[196],"conduct":[198],"thorough":[199],"feature":[200],"engineering":[201],"empirical":[203],"studies,":[204],"including":[205],"geographical,":[206],"demographic,":[207],"temporal,":[208],"statistical,":[209],"epidemiological":[211],"features.":[212],"Compared":[213],"heuristics":[215],"baselines,":[216],"our":[217,237],"method":[218],"achieved":[220],"promising":[221],"overall":[222],"performance":[223],"terms":[225],"precision,":[227],"recall,":[228],"accuracy,":[229],"F1":[230],"score,":[231],"AUC.":[233],"expect":[235],"that":[236],"efforts":[238],"could":[239],"be":[240],"battle":[245],"virus,":[248],"common":[250],"opponent":[251],"human":[253],"kind.":[254]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
