{"id":"https://openalex.org/W4307043242","doi":"https://doi.org/10.1080/19475683.2022.2133167","title":"Geographical and Temporal Analysis of Tweets Related to COVID-19 and Cardiovascular Disease in the US","display_name":"Geographical and Temporal Analysis of Tweets Related to COVID-19 and Cardiovascular Disease in the US","publication_year":2022,"publication_date":"2022-10-02","ids":{"openalex":"https://openalex.org/W4307043242","doi":"https://doi.org/10.1080/19475683.2022.2133167","pmid":"https://pubmed.ncbi.nlm.nih.gov/36911595"},"language":"en","primary_location":{"id":"doi:10.1080/19475683.2022.2133167","is_oa":true,"landing_page_url":"https://doi.org/10.1080/19475683.2022.2133167","pdf_url":null,"source":{"id":"https://openalex.org/S4210199948","display_name":"Annals of GIS","issn_l":"1082-4006","issn":["1082-4006","1947-5683","1947-5691","2374-9318"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of GIS","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1080/19475683.2022.2133167","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060392316","display_name":"Xuan Zhang","orcid":"https://orcid.org/0000-0001-7777-9209"},"institutions":[{"id":"https://openalex.org/I165733156","display_name":"University of Georgia","ror":"https://ror.org/00te3t702","country_code":"US","type":"education","lineage":["https://openalex.org/I165733156"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xuan Zhang","raw_affiliation_strings":["Department of Geography, University of Georgia, Athens, GA, USA"],"raw_orcid":"https://orcid.org/0000-0001-7777-9209","affiliations":[{"raw_affiliation_string":"Department of Geography, University of Georgia, Athens, GA, USA","institution_ids":["https://openalex.org/I165733156"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060956126","display_name":"Lan Mu","orcid":"https://orcid.org/0000-0003-0199-9509"},"institutions":[{"id":"https://openalex.org/I165733156","display_name":"University of Georgia","ror":"https://ror.org/00te3t702","country_code":"US","type":"education","lineage":["https://openalex.org/I165733156"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lan Mu","raw_affiliation_strings":["Department of Geography, University of Georgia, Athens, GA, USA"],"raw_orcid":"https://orcid.org/0000-0003-0199-9509","affiliations":[{"raw_affiliation_string":"Department of Geography, University of Georgia, Athens, GA, USA","institution_ids":["https://openalex.org/I165733156"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035495471","display_name":"Donglan Zhang","orcid":"https://orcid.org/0000-0001-5225-4721"},"institutions":[{"id":"https://openalex.org/I138873065","display_name":"Long Island University","ror":"https://ror.org/0324fzh77","country_code":"US","type":"education","lineage":["https://openalex.org/I138873065"]},{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Donglan Zhang","raw_affiliation_strings":["Division of Health Services Research, Department of Foundations of Medicine, New York University Long Island School of Medicine, Mineola, NY, USA"],"raw_orcid":"https://orcid.org/0000-0001-5225-4721","affiliations":[{"raw_affiliation_string":"Division of Health Services Research, Department of Foundations of Medicine, New York University Long Island School of Medicine, Mineola, NY, USA","institution_ids":["https://openalex.org/I138873065","https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038570213","display_name":"Yuping Mao","orcid":"https://orcid.org/0000-0003-4865-9253"},"institutions":[{"id":"https://openalex.org/I59897056","display_name":"California State University, Long Beach","ror":"https://ror.org/0080fxk18","country_code":"US","type":"education","lineage":["https://openalex.org/I59897056"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuping Mao","raw_affiliation_strings":["Department of Communication Studies, California State University Long Beach, Long Beach, CA, USA"],"raw_orcid":"https://orcid.org/0000-0003-4865-9253","affiliations":[{"raw_affiliation_string":"Department of Communication Studies, California State University Long Beach, Long Beach, CA, USA","institution_ids":["https://openalex.org/I59897056"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019720113","display_name":"Lu Shi","orcid":"https://orcid.org/0000-0001-8352-2813"},"institutions":[{"id":"https://openalex.org/I8078737","display_name":"Clemson University","ror":"https://ror.org/037s24f05","country_code":"US","type":"education","lineage":["https://openalex.org/I8078737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lu Shi","raw_affiliation_strings":["Department of Public Health Sciences, Clemson University, Clemson, SC, USA"],"raw_orcid":"https://orcid.org/0000-0001-8352-2813","affiliations":[{"raw_affiliation_string":"Department of Public Health Sciences, Clemson University, Clemson, SC, USA","institution_ids":["https://openalex.org/I8078737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029091903","display_name":"Janani Rajbhandari\u2010Thapa","orcid":null},"institutions":[{"id":"https://openalex.org/I165733156","display_name":"University of Georgia","ror":"https://ror.org/00te3t702","country_code":"US","type":"education","lineage":["https://openalex.org/I165733156"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Janani Rajbhandari-Thapa","raw_affiliation_strings":["Department of Health Policy and Management, College of Public Health, University of Georgia, Athens, GA, USA"],"raw_orcid":"https://orcid.org/0000-0002-0468-0387","affiliations":[{"raw_affiliation_string":"Department of Health Policy and Management, College of Public Health, University of Georgia, Athens, GA, USA","institution_ids":["https://openalex.org/I165733156"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100345078","display_name":"Zhuo Chen","orcid":"https://orcid.org/0000-0002-5351-3489"},"institutions":[{"id":"https://openalex.org/I165733156","display_name":"University of Georgia","ror":"https://ror.org/00te3t702","country_code":"US","type":"education","lineage":["https://openalex.org/I165733156"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhuo Chen","raw_affiliation_strings":["Department of Health Policy and Management, College of Public Health, University of Georgia, Athens, GA, USA"],"raw_orcid":"https://orcid.org/0000-0002-5351-3489","affiliations":[{"raw_affiliation_string":"Department of Health Policy and Management, College of Public Health, University of Georgia, Athens, GA, USA","institution_ids":["https://openalex.org/I165733156"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100380252","display_name":"Yan Li","orcid":"https://orcid.org/0000-0001-6155-0389"},"institutions":[{"id":"https://openalex.org/I98704320","display_name":"Icahn School of Medicine at Mount Sinai","ror":"https://ror.org/04a9tmd77","country_code":"US","type":"education","lineage":["https://openalex.org/I1320796813","https://openalex.org/I98704320"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yan Li","raw_affiliation_strings":["Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA"],"raw_orcid":"https://orcid.org/0000-0001-6155-0389","affiliations":[{"raw_affiliation_string":"Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA","institution_ids":["https://openalex.org/I98704320"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040889929","display_name":"Jos\u00e9 A. Pag\u00e1n","orcid":"https://orcid.org/0000-0002-8915-9602"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jos\u00e9 A. Pag\u00e1n","raw_affiliation_strings":["Department of Public Health Policy and Management, School of Global Public Health, New York University, New York, NY, USA"],"raw_orcid":"https://orcid.org/0000-0002-8915-9602","affiliations":[{"raw_affiliation_string":"Department of Public Health Policy and Management, School of Global Public Health, New York University, New York, NY, USA","institution_ids":["https://openalex.org/I57206974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5060956126"],"corresponding_institution_ids":["https://openalex.org/I165733156"],"apc_list":{"value":1500,"currency":"USD","value_usd":1500},"apc_paid":{"value":1500,"currency":"USD","value_usd":1500},"fwci":0.2934,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56602736,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"28","issue":"4","first_page":"491","last_page":"500"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9983999729156494,"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":0.9983999729156494,"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/T10410","display_name":"COVID-19 epidemiological studies","score":0.9958000183105469,"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/T11147","display_name":"Misinformation and Its Impacts","score":0.9951000213623047,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pandemic","display_name":"Pandemic","score":0.7756819725036621},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.7666213512420654},{"id":"https://openalex.org/keywords/proxy","display_name":"Proxy (statistics)","score":0.7332183122634888},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5498133897781372},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.5391578674316406},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.5026512145996094},{"id":"https://openalex.org/keywords/geocoding","display_name":"Geocoding","score":0.4522956609725952},{"id":"https://openalex.org/keywords/demography","display_name":"Demography","score":0.44189807772636414},{"id":"https://openalex.org/keywords/severe-acute-respiratory-syndrome-coronavirus-2","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","score":0.435322642326355},{"id":"https://openalex.org/keywords/2019-20-coronavirus-outbreak","display_name":"2019-20 coronavirus outbreak","score":0.42383503913879395},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.4166186451911926},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.2514827251434326},{"id":"https://openalex.org/keywords/infectious-disease","display_name":"Infectious disease (medical specialty)","score":0.2497628927230835},{"id":"https://openalex.org/keywords/outbreak","display_name":"Outbreak","score":0.1801890730857849},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.1521715521812439},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.1313565969467163},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.10614475607872009},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.10167255997657776}],"concepts":[{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.7756819725036621},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.7666213512420654},{"id":"https://openalex.org/C2780148112","wikidata":"https://www.wikidata.org/wiki/Q1432581","display_name":"Proxy (statistics)","level":2,"score":0.7332183122634888},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5498133897781372},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.5391578674316406},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.5026512145996094},{"id":"https://openalex.org/C42629822","wikidata":"https://www.wikidata.org/wiki/Q1346408","display_name":"Geocoding","level":2,"score":0.4522956609725952},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.44189807772636414},{"id":"https://openalex.org/C3007834351","wikidata":"https://www.wikidata.org/wiki/Q82069695","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","level":5,"score":0.435322642326355},{"id":"https://openalex.org/C3006700255","wikidata":"https://www.wikidata.org/wiki/Q81068910","display_name":"2019-20 coronavirus outbreak","level":3,"score":0.42383503913879395},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4166186451911926},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.2514827251434326},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.2497628927230835},{"id":"https://openalex.org/C116675565","wikidata":"https://www.wikidata.org/wiki/Q3241045","display_name":"Outbreak","level":2,"score":0.1801890730857849},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.1521715521812439},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.1313565969467163},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.10614475607872009},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.10167255997657776},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1080/19475683.2022.2133167","is_oa":true,"landing_page_url":"https://doi.org/10.1080/19475683.2022.2133167","pdf_url":null,"source":{"id":"https://openalex.org/S4210199948","display_name":"Annals of GIS","issn_l":"1082-4006","issn":["1082-4006","1947-5683","1947-5691","2374-9318"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of GIS","raw_type":"journal-article"},{"id":"pmid:36911595","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36911595","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":"Annals of GIS","raw_type":null},{"id":"pmh:oai:doaj.org/article:144e876146d24659856030cb46c46beb","is_oa":true,"landing_page_url":"https://doaj.org/article/144e876146d24659856030cb46c46beb","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":"Annals of GIS, Pp 1-10 (2022)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:9997116","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9997116","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":"Ann GIS","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1080/19475683.2022.2133167","is_oa":true,"landing_page_url":"https://doi.org/10.1080/19475683.2022.2133167","pdf_url":null,"source":{"id":"https://openalex.org/S4210199948","display_name":"Annals of GIS","issn_l":"1082-4006","issn":["1082-4006","1947-5683","1947-5691","2374-9318"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of GIS","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8600000143051147,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G1117591955","display_name":null,"funder_award_id":"R01MD013886","funder_id":"https://openalex.org/F4320337534","funder_display_name":"National Institute on Minority Health and Health Disparities"},{"id":"https://openalex.org/G5782153872","display_name":"Using agent-based modeling to compare strategies that can reduce rural-urban disparities in cardiovascular disease","funder_award_id":"1r01md013886-01","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337534","display_name":"National Institute on Minority Health and Health Disparities","ror":"https://ror.org/0493hgw16"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W128746142","https://openalex.org/W906735610","https://openalex.org/W1804959266","https://openalex.org/W1994046047","https://openalex.org/W2116265632","https://openalex.org/W2117187812","https://openalex.org/W2139188905","https://openalex.org/W2167082335","https://openalex.org/W2542026926","https://openalex.org/W2553110962","https://openalex.org/W2766959695","https://openalex.org/W2800727526","https://openalex.org/W2993262678","https://openalex.org/W2998292064","https://openalex.org/W3003299879","https://openalex.org/W3005079553","https://openalex.org/W3009976289","https://openalex.org/W3012454642","https://openalex.org/W3015553111","https://openalex.org/W3016385182","https://openalex.org/W3016563302","https://openalex.org/W3019445951","https://openalex.org/W3041420509","https://openalex.org/W3043773740","https://openalex.org/W3091913409","https://openalex.org/W3135114606","https://openalex.org/W3165656738","https://openalex.org/W4250369804","https://openalex.org/W4255508064"],"related_works":["https://openalex.org/W3127156785","https://openalex.org/W3009669391","https://openalex.org/W4200329650","https://openalex.org/W4205215807","https://openalex.org/W3005417802","https://openalex.org/W4205754011","https://openalex.org/W4226296940","https://openalex.org/W3028835529","https://openalex.org/W3036314732","https://openalex.org/W3134376730"],"abstract_inverted_index":{"The":[0,179,321],"COVID-19":[1,25,32,52,68,122,132,160],"pandemic":[2,184],"has":[3],"resulted":[4],"in":[5,158,188,214,302,343],"more":[6,294,327,334],"than":[7],"600":[8],"million":[9],"confirmed":[10,265],"cases":[11,53],"worldwide":[12],"since":[13],"December":[14],"2021.":[15],"Cardiovascular":[16],"disease":[17],"(CVD)":[18],"is":[19,136,288],"both":[20,67],"a":[21,28,103,239,247],"risk":[22],"factor":[23],"for":[24],"mortality":[26],"and":[27,45,54,60,69,79,93,111,117,123,133,171,211,225,257,273,296,329,332,336],"complication":[29],"that":[30,95,128,289,319],"many":[31,279],"patients":[33],"develop.":[34],"This":[35],"study":[36,322],"uses":[37],"Twitter":[38,97],"data":[39,341],"to":[40,74,83,114,138,168,206,235,326],"identify":[41],"the":[42,57,81,84,96,129,139,144,159,164,183,189,197,217,228,236,243,252,261,268,283,290,300,303,316,344],"spatiotemporal":[43],"patterns":[44],"correlation":[46,249],"of":[47,106,131,141,154,177,182,231,264],"related":[48,190,232,280],"tweets":[49,65,82,135,191,233,281],"with":[50,333,339],"daily":[51,145],"deaths":[55],"at":[56,318],"national,":[58],"regional,":[59],"state":[61,85,100],"levels.":[62],"We":[63,90,108],"collected":[64],"mentioning":[66],"CVD-related":[70,134],"words":[71],"from":[72,204],"February":[73,205],"July":[75],"2020":[76],"(Eastern":[77],"Time)":[78],"geocoded":[80],"level":[86],"using":[87],"GIScience":[88],"techniques.":[89],"further":[91],"proposed":[92],"validated":[94],"user":[98],"registration":[99],"can":[101,323],"be":[102,324],"feasible":[104],"proxy":[105],"geotags.":[107],"applied":[109],"geographical":[110],"temporal":[112,330],"analysis":[113],"investigate":[115],"where":[116],"when":[118],"people":[119],"talked":[120],"about":[121,174],"CVD.":[124],"Our":[125,286],"results":[126],"indicated":[127],"trend":[130,140,230],"correlated":[137],"COVID-19,":[142],"especially":[143],"deaths.":[146,259],"These":[147],"social":[148],"media":[149],"messages":[150],"revealed":[151],"widespread":[152],"recognition":[153],"CVD's":[155],"important":[156],"role":[157],"pandemic,":[161],"even":[162,306],"before":[163],"medical":[165],"community":[166],"started":[167],"develop":[169],"consensus":[170],"theory":[172],"supports":[173],"CVD":[175],"aspects":[176],"COVID-19.":[178],"second":[180,262],"wave":[181,263],"caused":[185],"another":[186],"rise":[187],"but":[192],"not":[193,276,311],"as":[194,196,200,238,278,282,313,315],"much":[195,314],"first":[198,284,304],"one,":[199],"tweet":[201,253],"frequency":[202],"increased":[203],"April,":[207],"decreased":[208],"till":[209],"June,":[210],"bounced":[212],"back":[213],"July.":[215],"At":[216],"regional":[218],"level,":[219],"four":[220],"regions":[221,309],"(Northeast,":[222],"Midwest,":[223],"North,":[224],"West)":[226],"had":[227,246],"same":[229],"compared":[234],"country":[237],"whole.":[240],"However,":[241],"only":[242],"Northeast":[244,317],"region":[245],"high":[248],"(0.8-0.9)":[250],"between":[251],"count,":[254],"new":[255,258,266],"cases,":[256,267],"For":[260],"major":[269],"contributing":[270],"regions,":[271],"South":[272],"West,":[274],"did":[275],"ripple":[277],"wave.":[285],"understanding":[287],"early":[291],"news":[292],"attracted":[293],"attention":[295],"discussion":[297],"all":[298],"over":[299],"U.S.":[301],"wave,":[305],"though":[307],"some":[308],"were":[310],"impacted":[312],"time.":[320],"expanded":[325],"geographic":[328],"scales,":[331],"physical":[335],"socioeconomic":[337],"variables,":[338],"better":[340],"acquisition":[342],"future.":[345]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
