{"id":"https://openalex.org/W4382361817","doi":"https://doi.org/10.1371/journal.pcbi.1011263","title":"Charting the spatial dynamics of early SARS-CoV-2 transmission in Washington state","display_name":"Charting the spatial dynamics of early SARS-CoV-2 transmission in Washington state","publication_year":2023,"publication_date":"2023-06-28","ids":{"openalex":"https://openalex.org/W4382361817","doi":"https://doi.org/10.1371/journal.pcbi.1011263","pmid":"https://pubmed.ncbi.nlm.nih.gov/37379328"},"language":"en","primary_location":{"id":"doi:10.1371/journal.pcbi.1011263","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1011263","pdf_url":null,"source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1371/journal.pcbi.1011263","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025998541","display_name":"Tobias Brett","orcid":"https://orcid.org/0000-0002-0906-441X"},"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":"Tobias S. Brett","raw_affiliation_strings":["Odum School of Ecology, University of Georgia, Athens, Georgia, United States of America"],"raw_orcid":"https://orcid.org/0000-0002-0906-441X","affiliations":[{"raw_affiliation_string":"Odum School of Ecology, University of Georgia, Athens, Georgia, United States of America","institution_ids":["https://openalex.org/I165733156"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007874154","display_name":"Shweta Bansal","orcid":"https://orcid.org/0000-0002-1740-5421"},"institutions":[{"id":"https://openalex.org/I184565670","display_name":"Georgetown University","ror":"https://ror.org/05vzafd60","country_code":"US","type":"education","lineage":["https://openalex.org/I184565670"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shweta Bansal","raw_affiliation_strings":["Department of Biology, Georgetown University, Washington, D.C., United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biology, Georgetown University, Washington, D.C., United States of America","institution_ids":["https://openalex.org/I184565670"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055282911","display_name":"Pejman Rohani","orcid":"https://orcid.org/0000-0002-7221-3801"},"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":"Pejman Rohani","raw_affiliation_strings":["Center for Influenza Disease & Emergence Research (CIDER), Athens, Georgia, United States of America","Department of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens, Georgia, United States of America","Odum School of Ecology, University of Georgia, Athens, Georgia, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Influenza Disease & Emergence Research (CIDER), Athens, Georgia, United States of America","institution_ids":[]},{"raw_affiliation_string":"Department of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens, Georgia, United States of America","institution_ids":["https://openalex.org/I165733156"]},{"raw_affiliation_string":"Odum School of Ecology, University of Georgia, Athens, Georgia, United States of America","institution_ids":["https://openalex.org/I165733156"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5007874154","https://openalex.org/A5025998541","https://openalex.org/A5055282911"],"corresponding_institution_ids":["https://openalex.org/I165733156","https://openalex.org/I184565670"],"apc_list":{"value":2655,"currency":"USD","value_usd":2655},"apc_paid":{"value":2655,"currency":"USD","value_usd":2655},"fwci":1.2488,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.76583277,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"19","issue":"6","first_page":"e1011263","last_page":"e1011263"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":1.0,"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":1.0,"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9987999796867371,"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/T10167","display_name":"Influenza Virus Research Studies","score":0.9889000058174133,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/spatial-epidemiology","display_name":"Spatial epidemiology","score":0.6693903207778931},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.5980100631713867},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.5590086579322815},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.5573533773422241},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5497612357139587},{"id":"https://openalex.org/keywords/spatial-ecology","display_name":"Spatial ecology","score":0.46196433901786804},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.4566276967525482},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.44894856214523315},{"id":"https://openalex.org/keywords/pandemic","display_name":"Pandemic","score":0.44026219844818115},{"id":"https://openalex.org/keywords/metropolitan-area","display_name":"Metropolitan area","score":0.4310623109340668},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.3819606602191925},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.37926995754241943},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.30017632246017456},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.254841685295105},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.2042534053325653},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.18443173170089722},{"id":"https://openalex.org/keywords/epidemiology","display_name":"Epidemiology","score":0.17074158787727356},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1200115978717804},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10440608859062195},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08625823259353638}],"concepts":[{"id":"https://openalex.org/C186744025","wikidata":"https://www.wikidata.org/wiki/Q7574064","display_name":"Spatial epidemiology","level":3,"score":0.6693903207778931},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.5980100631713867},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.5590086579322815},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.5573533773422241},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5497612357139587},{"id":"https://openalex.org/C158709400","wikidata":"https://www.wikidata.org/wiki/Q3578586","display_name":"Spatial ecology","level":2,"score":0.46196433901786804},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.4566276967525482},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.44894856214523315},{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.44026219844818115},{"id":"https://openalex.org/C158739034","wikidata":"https://www.wikidata.org/wiki/Q1907114","display_name":"Metropolitan area","level":2,"score":0.4310623109340668},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.3819606602191925},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.37926995754241943},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.30017632246017456},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.254841685295105},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.2042534053325653},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.18443173170089722},{"id":"https://openalex.org/C107130276","wikidata":"https://www.wikidata.org/wiki/Q133805","display_name":"Epidemiology","level":2,"score":0.17074158787727356},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1200115978717804},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10440608859062195},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08625823259353638},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D000086402","descriptor_name":"SARS-CoV-2","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000086402","descriptor_name":"SARS-CoV-2","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000086402","descriptor_name":"SARS-CoV-2","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014861","descriptor_name":"Washington","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D014861","descriptor_name":"Washington","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D014861","descriptor_name":"Washington","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D016013","descriptor_name":"Likelihood Functions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016013","descriptor_name":"Likelihood Functions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016013","descriptor_name":"Likelihood Functions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058873","descriptor_name":"Pandemics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058873","descriptor_name":"Pandemics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058873","descriptor_name":"Pandemics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1371/journal.pcbi.1011263","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1011263","pdf_url":null,"source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},{"id":"pmid:37379328","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37379328","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":"PLoS computational biology","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10335681","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10335681","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10335681/pdf/pcbi.1011263.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":"PLoS Comput Biol","raw_type":"Text"},{"id":"pmh:oai:RePEc:plo:pcbi00:1011263","is_oa":false,"landing_page_url":"https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1011263","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:6cc5bb9c75244613ad2fe1886c1715d8","is_oa":true,"landing_page_url":"https://doaj.org/article/6cc5bb9c75244613ad2fe1886c1715d8","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":"PLoS Computational Biology, Vol 19, Iss 6, p e1011263 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1371/journal.pcbi.1011263","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1011263","pdf_url":null,"source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8700000047683716,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G1697244160","display_name":null,"funder_award_id":"R01 GM123007","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"},{"id":"https://openalex.org/G3828582264","display_name":null,"funder_award_id":"75N93021C00018","funder_id":"https://openalex.org/F4320337355","funder_display_name":"National Institute of Allergy and Infectious Diseases"},{"id":"https://openalex.org/G4542157032","display_name":null,"funder_award_id":"75N93021C00018","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G6913056557","display_name":null,"funder_award_id":"R01GM123007","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G8553650713","display_name":null,"funder_award_id":"R01GM123007","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"}],"funders":[{"id":"https://openalex.org/F4320306085","display_name":"U.S. Department of Health and Human Services","ror":"https://ror.org/033jnv181"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337354","display_name":"National Institute of General Medical Sciences","ror":"https://ror.org/04q48ey07"},{"id":"https://openalex.org/F4320337355","display_name":"National Institute of Allergy and Infectious Diseases","ror":"https://ror.org/043z4tv69"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W593278192","https://openalex.org/W1480376833","https://openalex.org/W1483307070","https://openalex.org/W1969068049","https://openalex.org/W1987971958","https://openalex.org/W1995060260","https://openalex.org/W1997449629","https://openalex.org/W1998360322","https://openalex.org/W2016674662","https://openalex.org/W2019841176","https://openalex.org/W2069977841","https://openalex.org/W2076545815","https://openalex.org/W2102201884","https://openalex.org/W2122788050","https://openalex.org/W2142703753","https://openalex.org/W2153611488","https://openalex.org/W2161581022","https://openalex.org/W2164239649","https://openalex.org/W2169258494","https://openalex.org/W2170131286","https://openalex.org/W2277437543","https://openalex.org/W2586060375","https://openalex.org/W2791420655","https://openalex.org/W2791901668","https://openalex.org/W3001897055","https://openalex.org/W3003465021","https://openalex.org/W3003668884","https://openalex.org/W3008437073","https://openalex.org/W3010131837","https://openalex.org/W3010470836","https://openalex.org/W3010860326","https://openalex.org/W3012284084","https://openalex.org/W3013594674","https://openalex.org/W3013862524","https://openalex.org/W3015988827","https://openalex.org/W3025654679","https://openalex.org/W3037681644","https://openalex.org/W3044517943","https://openalex.org/W3084370551","https://openalex.org/W3085879587","https://openalex.org/W3086967467","https://openalex.org/W3093046487","https://openalex.org/W3095199486","https://openalex.org/W3100505226","https://openalex.org/W3108096807","https://openalex.org/W3110046534","https://openalex.org/W3124871370","https://openalex.org/W3136588845","https://openalex.org/W3139345328","https://openalex.org/W3157613802","https://openalex.org/W3158300114","https://openalex.org/W3169503674","https://openalex.org/W3183741867","https://openalex.org/W3195051481","https://openalex.org/W3209240997","https://openalex.org/W3209269499","https://openalex.org/W4205810842","https://openalex.org/W4221048557","https://openalex.org/W4223947716","https://openalex.org/W4225789374","https://openalex.org/W4226112770","https://openalex.org/W4300172653","https://openalex.org/W4362521171","https://openalex.org/W6772996879","https://openalex.org/W6773406401","https://openalex.org/W6910616057"],"related_works":["https://openalex.org/W4238028212","https://openalex.org/W2963387968","https://openalex.org/W4239351380","https://openalex.org/W1486009484","https://openalex.org/W2361570780","https://openalex.org/W41834506","https://openalex.org/W2146714472","https://openalex.org/W2149765389","https://openalex.org/W1520742015","https://openalex.org/W2343030682"],"abstract_inverted_index":{"The":[0,52],"spread":[1,76,157,236],"of":[2,12,23,30,62,77,119,142,173,209,218],"SARS-CoV-2":[3,17,32,78],"has":[4],"been":[5],"geographically":[6],"uneven.":[7],"To":[8],"understand":[9],"the":[10,21,27,31,60,75,80,83,103,120,128,132,145,150,154,161,171,178,196,215,231,244],"drivers":[11],"this":[13],"spatial":[14,116,224],"variation":[15],"in":[16,19,34,74,102,160,176,200],"transmission,":[18],"particular":[20],"role":[22],"stochasticity,":[24],"we":[25,86],"used":[26,87],"early":[28,159],"stages":[29],"invasion":[33],"Washington":[35],"state":[36],"as":[37],"a":[38,88,139,206],"case":[39,66],"study.":[40],"We":[41,181],"analysed":[42],"spatially-resolved":[43],"COVID-19":[44],"epidemiological":[45,219,250],"data":[46],"using":[47,56],"two":[48],"distinct":[49,112],"statistical":[50],"analyses.":[51],"first":[53],"analysis":[54,109,136],"involved":[55],"hierarchical":[57],"clustering":[58,108],"on":[59,96],"matrix":[61],"correlations":[63],"between":[64],"county-level":[65],"report":[67],"time":[68],"series":[69],"to":[70,92,123,152,169,194],"identify":[71],"geographical":[72,125],"patterns":[73],"across":[79,144],"state.":[81,133],"In":[82,163],"second":[84],"analysis,":[85],"stochastic":[89,174,210],"transmission":[90,186],"model":[91,151],"perform":[93],"likelihood-based":[94],"inference":[95],"hospitalised":[97],"cases":[98],"from":[99],"five":[100,111],"counties":[101],"Puget":[104],"Sound":[105],"region.":[106],"Our":[107,134,212],"identifies":[110],"clusters":[113,121],"and":[114,189,202,242,249],"clear":[115,230],"patterning.":[117],"Four":[118],"correspond":[122],"different":[124],"regions,":[126],"with":[127,233],"final":[129],"cluster":[130],"spanning":[131],"inferential":[135],"suggests":[137],"that":[138,183],"high":[140],"degree":[141],"connectivity":[143],"region":[146],"is":[147,192],"necessary":[148,193],"for":[149,246],"explain":[153,195],"rapid":[155,185],"inter-county":[156],"observed":[158,197],"pandemic.":[162],"addition,":[164],"our":[165,227],"approach":[166],"allows":[167],"us":[168],"quantify":[170],"impact":[172,208],"events":[175],"determining":[177],"subsequent":[179],"epidemic.":[180],"find":[182],"atypically":[184],"during":[187],"January":[188],"February":[190],"2020":[191],"epidemic":[198,235],"trajectories":[199],"King":[201],"Snohomish":[203],"counties,":[204],"demonstrating":[205],"persisting":[207],"events.":[211],"results":[213,228],"highlight":[214],"limited":[216],"utility":[217],"measures":[220],"calculated":[221],"over":[222],"broad":[223],"scales.":[225],"Furthermore,":[226],"make":[229],"challenges":[232],"predicting":[234],"within":[237],"spatially":[238],"extensive":[239],"metropolitan":[240],"areas,":[241],"indicate":[243],"need":[245],"high-resolution":[247],"mobility":[248],"data.":[251]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-24T13:16:06.693445","created_date":"2025-10-10T00:00:00"}