{"id":"https://openalex.org/W4362671788","doi":"https://doi.org/10.3389/fdata.2023.1099182","title":"Human behavior in the time of COVID-19: Learning from big data","display_name":"Human behavior in the time of COVID-19: Learning from big data","publication_year":2023,"publication_date":"2023-04-06","ids":{"openalex":"https://openalex.org/W4362671788","doi":"https://doi.org/10.3389/fdata.2023.1099182","pmid":"https://pubmed.ncbi.nlm.nih.gov/37091459"},"language":"en","primary_location":{"id":"doi:10.3389/fdata.2023.1099182","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fdata.2023.1099182","pdf_url":"https://www.frontiersin.org/articles/10.3389/fdata.2023.1099182/pdf","source":{"id":"https://openalex.org/S4210201220","display_name":"Frontiers in Big Data","issn_l":"2624-909X","issn":["2624-909X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.frontiersin.org/articles/10.3389/fdata.2023.1099182/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040900346","display_name":"Hanjia Lyu","orcid":"https://orcid.org/0000-0002-3876-0094"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hanjia Lyu","raw_affiliation_strings":["Department of Computer Science, University of Rochester, Rochester, NY, United States","Department of Computer Science, University of Rochester, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Rochester, Rochester, NY, United States","institution_ids":["https://openalex.org/I5388228"]},{"raw_affiliation_string":"Department of Computer Science, University of Rochester, United States","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028506247","display_name":"Arsal Imtiaz","orcid":null},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arsal Imtiaz","raw_affiliation_strings":["Department of Computer Science, University of Rochester, Rochester, NY, United States","Department of Computer Science, University of Rochester, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Rochester, Rochester, NY, United States","institution_ids":["https://openalex.org/I5388228"]},{"raw_affiliation_string":"Department of Computer Science, University of Rochester, United States","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030295776","display_name":"Yufei Zhao","orcid":"https://orcid.org/0000-0002-5919-7595"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yufei Zhao","raw_affiliation_strings":["Department of Computer Science, University of Rochester, Rochester, NY, United States","Department of Computer Science, University of Rochester, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Rochester, Rochester, NY, United States","institution_ids":["https://openalex.org/I5388228"]},{"raw_affiliation_string":"Department of Computer Science, University of Rochester, United States","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055469774","display_name":"Jiebo Luo","orcid":"https://orcid.org/0000-0002-4516-9729"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jiebo Luo","raw_affiliation_strings":["Department of Computer Science, University of Rochester, Rochester, NY, United States","Department of Computer Science, University of Rochester, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Rochester, Rochester, NY, United States","institution_ids":["https://openalex.org/I5388228"]},{"raw_affiliation_string":"Department of Computer Science, University of Rochester, United States","institution_ids":["https://openalex.org/I5388228"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5055469774"],"corresponding_institution_ids":["https://openalex.org/I5388228"],"apc_list":{"value":1285,"currency":"USD","value_usd":1285},"apc_paid":{"value":1285,"currency":"USD","value_usd":1285},"fwci":4.25,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.93787651,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"6","issue":null,"first_page":"1099182","last_page":"1099182"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9861999750137329,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9861999750137329,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9765999913215637,"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"}},{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9659000039100647,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pandemic","display_name":"Pandemic","score":0.8541175127029419},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.7318075299263},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.7069550156593323},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6945887804031372},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.6691722869873047},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5835239291191101},{"id":"https://openalex.org/keywords/human-behavior","display_name":"Human behavior","score":0.4955853223800659},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4949008822441101},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4328398108482361},{"id":"https://openalex.org/keywords/2019-20-coronavirus-outbreak","display_name":"2019-20 coronavirus outbreak","score":0.4224425256252289},{"id":"https://openalex.org/keywords/infectious-disease","display_name":"Infectious disease (medical specialty)","score":0.2574573755264282},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.19255080819129944},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.14135929942131042},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1395077407360077},{"id":"https://openalex.org/keywords/virology","display_name":"Virology","score":0.07074421644210815}],"concepts":[{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.8541175127029419},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.7318075299263},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.7069550156593323},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6945887804031372},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.6691722869873047},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5835239291191101},{"id":"https://openalex.org/C117035363","wikidata":"https://www.wikidata.org/wiki/Q3769299","display_name":"Human behavior","level":2,"score":0.4955853223800659},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4949008822441101},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4328398108482361},{"id":"https://openalex.org/C3006700255","wikidata":"https://www.wikidata.org/wiki/Q81068910","display_name":"2019-20 coronavirus outbreak","level":3,"score":0.4224425256252289},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.2574573755264282},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.19255080819129944},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.14135929942131042},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1395077407360077},{"id":"https://openalex.org/C159047783","wikidata":"https://www.wikidata.org/wiki/Q7215","display_name":"Virology","level":1,"score":0.07074421644210815},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C116675565","wikidata":"https://www.wikidata.org/wiki/Q3241045","display_name":"Outbreak","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3389/fdata.2023.1099182","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fdata.2023.1099182","pdf_url":"https://www.frontiersin.org/articles/10.3389/fdata.2023.1099182/pdf","source":{"id":"https://openalex.org/S4210201220","display_name":"Frontiers in Big Data","issn_l":"2624-909X","issn":["2624-909X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Big Data","raw_type":"journal-article"},{"id":"pmid:37091459","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37091459","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":"Frontiers in big data","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10118015","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10118015","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10118015/pdf/fdata-06-1099182.pdf","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":"Front Big Data","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:a5c26ba195c74434aa70be02bc3c5819","is_oa":true,"landing_page_url":"https://doaj.org/article/a5c26ba195c74434aa70be02bc3c5819","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":"Frontiers in Big Data, Vol 6 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3389/fdata.2023.1099182","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fdata.2023.1099182","pdf_url":"https://www.frontiersin.org/articles/10.3389/fdata.2023.1099182/pdf","source":{"id":"https://openalex.org/S4210201220","display_name":"Frontiers in Big Data","issn_l":"2624-909X","issn":["2624-909X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Big Data","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.800000011920929}],"awards":[],"funders":[{"id":"https://openalex.org/F4320310246","display_name":"University of Rochester","ror":"https://ror.org/022kthw22"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4362671788.pdf"},"referenced_works_count":189,"referenced_works":["https://openalex.org/W30489333","https://openalex.org/W999207820","https://openalex.org/W1854838788","https://openalex.org/W1966850535","https://openalex.org/W1983364832","https://openalex.org/W1995875735","https://openalex.org/W1997705901","https://openalex.org/W2008444575","https://openalex.org/W2014181466","https://openalex.org/W2019759670","https://openalex.org/W2021198281","https://openalex.org/W2029003981","https://openalex.org/W2041616772","https://openalex.org/W2056132907","https://openalex.org/W2061773916","https://openalex.org/W2064675550","https://openalex.org/W2074338790","https://openalex.org/W2102157604","https://openalex.org/W2117674534","https://openalex.org/W2131489391","https://openalex.org/W2138766682","https://openalex.org/W2140190241","https://openalex.org/W2141437904","https://openalex.org/W2141755357","https://openalex.org/W2149055390","https://openalex.org/W2151570219","https://openalex.org/W2164598857","https://openalex.org/W2183341477","https://openalex.org/W2183659962","https://openalex.org/W2353267094","https://openalex.org/W2489406233","https://openalex.org/W2510758820","https://openalex.org/W2551393996","https://openalex.org/W2583998542","https://openalex.org/W2619383789","https://openalex.org/W2744909235","https://openalex.org/W2753122118","https://openalex.org/W2753415590","https://openalex.org/W2753666478","https://openalex.org/W2911735741","https://openalex.org/W2911964244","https://openalex.org/W2924855222","https://openalex.org/W2962788625","https://openalex.org/W2997574889","https://openalex.org/W2998378988","https://openalex.org/W2999309192","https://openalex.org/W3001779409","https://openalex.org/W3004975108","https://openalex.org/W3006028839","https://openalex.org/W3006794247","https://openalex.org/W3008443627","https://openalex.org/W3013489453","https://openalex.org/W3013886221","https://openalex.org/W3015372994","https://openalex.org/W3016315148","https://openalex.org/W3016555305","https://openalex.org/W3017092278","https://openalex.org/W3018413731","https://openalex.org/W3021613067","https://openalex.org/W3021778693","https://openalex.org/W3024800642","https://openalex.org/W3026436349","https://openalex.org/W3034368386","https://openalex.org/W3034942609","https://openalex.org/W3038461398","https://openalex.org/W3040884840","https://openalex.org/W3043904603","https://openalex.org/W3047348802","https://openalex.org/W3047822180","https://openalex.org/W3070220677","https://openalex.org/W3082591845","https://openalex.org/W3083864010","https://openalex.org/W3083918922","https://openalex.org/W3087051200","https://openalex.org/W3088427622","https://openalex.org/W3089305192","https://openalex.org/W3091248836","https://openalex.org/W3092900650","https://openalex.org/W3093028783","https://openalex.org/W3093180067","https://openalex.org/W3093872875","https://openalex.org/W3094795122","https://openalex.org/W3096215591","https://openalex.org/W3096847612","https://openalex.org/W3098124506","https://openalex.org/W3099011804","https://openalex.org/W3100473759","https://openalex.org/W3103082384","https://openalex.org/W3106630204","https://openalex.org/W3109940015","https://openalex.org/W3110382843","https://openalex.org/W3111204099","https://openalex.org/W3112000122","https://openalex.org/W3112869640","https://openalex.org/W3116699850","https://openalex.org/W3119459970","https://openalex.org/W3120829418","https://openalex.org/W3121263745","https://openalex.org/W3121430869","https://openalex.org/W3124304280","https://openalex.org/W3124684701","https://openalex.org/W3125266951","https://openalex.org/W3128228449","https://openalex.org/W3130998678","https://openalex.org/W3135979406","https://openalex.org/W3136320629","https://openalex.org/W3138154797","https://openalex.org/W3138227887","https://openalex.org/W3138400635","https://openalex.org/W3140531618","https://openalex.org/W3141737218","https://openalex.org/W3143717392","https://openalex.org/W3150121917","https://openalex.org/W3151753940","https://openalex.org/W3153176813","https://openalex.org/W3158350785","https://openalex.org/W3162472108","https://openalex.org/W3163005583","https://openalex.org/W3165151231","https://openalex.org/W3173372706","https://openalex.org/W3173994567","https://openalex.org/W3175294199","https://openalex.org/W3175338534","https://openalex.org/W3175482163","https://openalex.org/W3177587866","https://openalex.org/W3177800883","https://openalex.org/W3181016394","https://openalex.org/W3183745623","https://openalex.org/W3185846577","https://openalex.org/W3186267293","https://openalex.org/W3187341546","https://openalex.org/W3192600070","https://openalex.org/W3196328959","https://openalex.org/W3197107633","https://openalex.org/W3198252989","https://openalex.org/W3203250888","https://openalex.org/W3207808835","https://openalex.org/W3209261218","https://openalex.org/W3209981475","https://openalex.org/W3210696574","https://openalex.org/W3211218433","https://openalex.org/W3214311704","https://openalex.org/W4200044348","https://openalex.org/W4200120675","https://openalex.org/W4200364198","https://openalex.org/W4200591680","https://openalex.org/W4206205659","https://openalex.org/W4211232216","https://openalex.org/W4220766587","https://openalex.org/W4221007759","https://openalex.org/W4224881449","https://openalex.org/W4225081796","https://openalex.org/W4225300656","https://openalex.org/W4225596642","https://openalex.org/W4229442014","https://openalex.org/W4235019172","https://openalex.org/W4235151946","https://openalex.org/W4236965008","https://openalex.org/W4237791300","https://openalex.org/W4238846128","https://openalex.org/W4281611776","https://openalex.org/W4282938232","https://openalex.org/W4282961625","https://openalex.org/W4286602937","https://openalex.org/W4292994025","https://openalex.org/W4297670610","https://openalex.org/W4381786694","https://openalex.org/W6620707391","https://openalex.org/W6628750762","https://openalex.org/W6628877408","https://openalex.org/W6628973269","https://openalex.org/W6675026286","https://openalex.org/W6675143072","https://openalex.org/W6675549234","https://openalex.org/W6681096077","https://openalex.org/W6734397981","https://openalex.org/W6743846187","https://openalex.org/W6748130322","https://openalex.org/W6758588779","https://openalex.org/W6762718338","https://openalex.org/W6763701032","https://openalex.org/W6784042065","https://openalex.org/W6785652829","https://openalex.org/W6787119660","https://openalex.org/W6797406924","https://openalex.org/W6803163917","https://openalex.org/W6843054657","https://openalex.org/W6845669588","https://openalex.org/W7001400811"],"related_works":["https://openalex.org/W2165912799","https://openalex.org/W2735662278","https://openalex.org/W2382615723","https://openalex.org/W4311804456","https://openalex.org/W1987484445","https://openalex.org/W2623658258","https://openalex.org/W2143413548","https://openalex.org/W1969219540","https://openalex.org/W2370459448","https://openalex.org/W2105067402"],"abstract_inverted_index":{"Since":[0],"the":[1,37,54,57,60,63,82,89,123,136,139,178],"World":[2],"Health":[3],"Organization":[4],"(WHO)":[5],"characterized":[6],"COVID-19":[7,23,38,90,140,179],"as":[8,30,100],"a":[9,78],"pandemic":[10,39,64,180],"in":[11,72,135],"March":[12],"2020,":[13],"there":[14],"have":[15,93],"been":[16,94],"over":[17],"600":[18],"million":[19,28],"confirmed":[20],"cases":[21],"of":[22,31,56,81,122,138],"and":[24,40,67,88,112,156,165,181,189],"more":[25,172],"than":[26],"six":[27],"deaths":[29],"October":[32],"2022.":[33],"The":[34,161],"relationship":[35],"between":[36,85],"human":[41,48,70,86,133,158],"behavior":[42,49,71,87,134],"is":[43,50],"complicated.":[44],"On":[45,59],"one":[46],"hand,":[47,62],"found":[51],"to":[52,131,153,176],"shape":[53],"spread":[55],"disease.":[58],"other":[61],"has":[65],"impacted":[66],"even":[68],"changed":[69],"almost":[73],"every":[74],"aspect.":[75],"To":[76,170],"provide":[77,171],"holistic":[79],"understanding":[80],"complex":[83],"interplay":[84],"pandemic,":[91],"researchers":[92],"employing":[95],"big":[96,128,151],"data":[97,129,152],"techniques":[98,130],"such":[99],"natural":[101],"language":[102],"processing,":[103,108],"computer":[104],"vision,":[105],"audio":[106],"signal":[107],"frequent":[109],"pattern":[110],"mining,":[111],"machine":[113],"learning.":[114],"In":[115,142],"this":[116],"study,":[117],"we":[118,144,185],"present":[119],"an":[120],"overview":[121],"existing":[124],"studies":[125,147],"on":[126],"using":[127],"study":[132],"time":[137],"pandemic.":[141],"particular,":[143],"categorize":[145],"these":[146],"into":[148,174],"three":[149],"groups-using":[150],"measure,":[154],"model,":[155],"leverage":[157],"behavior,":[159],"respectively.":[160],"related":[162],"tasks,":[163],"data,":[164],"methods":[166],"are":[167],"summarized":[168],"accordingly.":[169],"insights":[173],"how":[175],"fight":[177],"future":[182],"global":[183],"catastrophes,":[184],"further":[186],"discuss":[187],"challenges":[188],"potential":[190],"opportunities.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}