{"id":"https://openalex.org/W4409908592","doi":"https://doi.org/10.1371/journal.pcbi.1012979","title":"Behavior-driven forecasts of neighborhood-level COVID-19 spread in New York City","display_name":"Behavior-driven forecasts of neighborhood-level COVID-19 spread in New York City","publication_year":2025,"publication_date":"2025-04-29","ids":{"openalex":"https://openalex.org/W4409908592","doi":"https://doi.org/10.1371/journal.pcbi.1012979","pmid":"https://pubmed.ncbi.nlm.nih.gov/40300036","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/12101855"},"language":"en","primary_location":{"id":"doi:10.1371/journal.pcbi.1012979","doi":"https://doi.org/10.1371/journal.pcbi.1012979","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1012979","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1012979&type=printable","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,"listed_in":["anvur-scientific","ccf-b","cwts-core","doaj","dongbi-b","doyens","jufo-3","ki-jl-2","medline","norway-2","oarl","poland-140","russia-white-list-1","vabb-shw"],"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"},"volume":null,"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1012979&type=printable","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057527044","display_name":"Renquan Zhang","orcid":"https://orcid.org/0000-0002-4927-1827","observed_orcids":["https://orcid.org/0000-0002-4927-1827"]},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Renquan Zhang","raw_affiliation_strings":["Dalian University of Technology;","School of Mathematical Sciences, Dalian University of Technology, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian University of Technology;","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"School of Mathematical Sciences, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104884507","display_name":"Jilei Tai","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jilei Tai","raw_affiliation_strings":["Dalian University of Technology;","School of Mathematical Sciences, Dalian University of Technology, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian University of Technology;","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"School of Mathematical Sciences, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Qing Yao","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qing Yao","raw_affiliation_strings":["Columbia University Mailman School of Public Health;","Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Columbia University Mailman School of Public Health;","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, United States of America","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061502421","display_name":"Wan Yang","orcid":"https://orcid.org/0000-0002-7555-9728","observed_orcids":["https://orcid.org/0000-0002-7555-9728"]},"institutions":[{"id":"https://openalex.org/I2799503643","display_name":"Columbia University Irving Medical Center","ror":"https://ror.org/01esghr10","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2799503643"]},{"id":"https://openalex.org/I4390039230","display_name":"Herbert Irving Comprehensive Cancer Center","ror":"https://ror.org/051kc1939","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4390039230"]},{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wan Yang","raw_affiliation_strings":["Columbia University Mailman School of Public Health;","Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, United States of America","Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, New York, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Columbia University Mailman School of Public Health;","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, United States of America","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, New York, United States of America","institution_ids":["https://openalex.org/I2799503643","https://openalex.org/I4390039230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070926854","display_name":"Kai Ruggeri","orcid":"https://orcid.org/0000-0002-8470-101X","observed_orcids":["https://orcid.org/0000-0002-8470-101X"]},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kai Ruggeri","raw_affiliation_strings":["Columbia University Mailman School of Public Health;","Department of Health Policy and Management, Mailman School of Public Health, Columbia University, New York, New York, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Columbia University Mailman School of Public Health;","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"Department of Health Policy and Management, Mailman School of Public Health, Columbia University, New York, New York, United States of America","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006605951","display_name":"Jeffrey L. Shaman","orcid":"https://orcid.org/0000-0002-7216-7809","observed_orcids":["https://orcid.org/0000-0002-7216-7809"]},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeffrey Shaman","raw_affiliation_strings":["Columbia University","Columbia Climate School, Columbia University, New York, New York, United States of America","Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Columbia University","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"Columbia Climate School, Columbia University, New York, New York, United States of America","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, United States of America","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089869489","display_name":"Sen Pei","orcid":"https://orcid.org/0000-0002-7072-2995","observed_orcids":["https://orcid.org/0000-0002-7072-2995"]},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sen Pei","raw_affiliation_strings":["Columbia University Mailman School of Public Health;","Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Columbia University Mailman School of Public Health;","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, United States of America","institution_ids":["https://openalex.org/I78577930"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5089869489"],"corresponding_institution_ids":["https://openalex.org/I78577930"],"apc_list":{"value":3043,"currency":"USD","value_usd":3043},"apc_paid":{"value":3043,"currency":"USD","value_usd":3043},"fwci":3.586,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.92469673,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"21","issue":"4","first_page":"e1012979","last_page":"e1012979"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9990000128746033,"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":0.9990000128746033,"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/T10482","display_name":"Mathematical and Theoretical Epidemiology and Ecology Models","score":0.0005000000237487257,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"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/T11819","display_name":"Data-Driven Disease Surveillance","score":9.999999747378752e-05,"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/covid-19","display_name":"COVID-19 pandemic","score":0.9760000109672546},{"id":"https://openalex.org/keywords/sars-cov-2-transmission","display_name":"SARS-CoV-2 transmission","score":0.9290000200271606},{"id":"https://openalex.org/keywords/mobile-device-data","display_name":"mobile device data","score":0.796999990940094},{"id":"https://openalex.org/keywords/human-activity-patterns","display_name":"human activity patterns","score":0.5709999799728394},{"id":"https://openalex.org/keywords/dwell-time","display_name":"dwell time","score":0.9340000152587891},{"id":"https://openalex.org/keywords/force-of-infection","display_name":"force of infection","score":0.8429999947547913},{"id":"https://openalex.org/keywords/data-assimilation","display_name":"data assimilation","score":0.7670000195503235},{"id":"https://openalex.org/keywords/health-disparities","display_name":"health disparities","score":0.6880000233650208},{"id":"https://openalex.org/keywords/new-york-city","display_name":"New York City","score":0.7900000214576721}],"concepts":[{"id":"https://openalex.org/C160331591","wikidata":"https://www.wikidata.org/wiki/Q7075743","display_name":"Occupancy","level":2,"score":0.5604739785194397},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5108713507652283},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48399901390075684},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.465945839881897},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.46222934126853943},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4190019369125366},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.4114540219306946},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.23929309844970703},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.17351606488227844},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.1497228741645813},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14256003499031067},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.13602226972579956},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.130240797996521},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.10206931829452515},{"id":"https://openalex.org/C505870484","wikidata":"https://www.wikidata.org/wiki/Q180538","display_name":"Fishery","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}],"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":"Q000635","qualifier_name":"transmission","is_major_topic":true},{"descriptor_ui":"D000086402","descriptor_name":"SARS-CoV-2","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000091542","descriptor_name":"Neighborhood Characteristics","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D005544","descriptor_name":"Forecasting","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":"D009519","descriptor_name":"New York City","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D012111","descriptor_name":"Residence Characteristics","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D058873","descriptor_name":"Pandemics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":6,"locations":[{"id":"doi:10.1371/journal.pcbi.1012979","doi":"https://doi.org/10.1371/journal.pcbi.1012979","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1012979","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1012979&type=printable","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,"listed_in":["anvur-scientific","ccf-b","cwts-core","doaj","dongbi-b","doyens","jufo-3","ki-jl-2","medline","norway-2","oarl","poland-140","russia-white-list-1","vabb-shw"],"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":"doi:10.1101/2024.04.17.24305995","doi":"https://doi.org/10.1101/2024.04.17.24305995","is_oa":true,"landing_page_url":"https://doi.org/10.1101/2024.04.17.24305995","pdf_url":"https://www.medrxiv.org/content/medrxiv/early/2024/04/19/2024.04.17.24305995.full.pdf","source":{"id":"https://openalex.org/S3005729997","display_name":"medRxiv","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":["https://openalex.org/P4310315909"],"host_organization_lineage_names":["Cold Spring Harbor Laboratory Press"],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"medRxiv","raw_type":"posted-content"},{"id":"pmh:oai:pubmedcentral.nih.gov:12101855","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/12101855","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,"listed_in":[],"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLoS Comput Biol","raw_type":"Text"},{"id":"pmid:40300036","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40300036","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,"listed_in":[],"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":"Journal Article"},{"id":"pmh:oai:RePEc:plo:pcbi00:1012979","doi":null,"is_oa":false,"landing_page_url":"https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1012979","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,"listed_in":[],"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:9f07ebf9b6a24fa4b48160ef1d53825c","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/9f07ebf9b6a24fa4b48160ef1d53825c","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,"listed_in":[],"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 21, Iss 4, p e1012979 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1371/journal.pcbi.1012979","doi":"https://doi.org/10.1371/journal.pcbi.1012979","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1012979","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1012979&type=printable","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,"listed_in":["anvur-scientific","ccf-b","cwts-core","doaj","dongbi-b","doyens","jufo-3","ki-jl-2","medline","norway-2","oarl","poland-140","russia-white-list-1","vabb-shw"],"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":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8349000215530396},{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.8199999928474426}],"study_designs":[],"awards":[{"id":"https://openalex.org/G1715851735","display_name":null,"funder_award_id":"12371516","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2633150715","display_name":"ANALYSIS AND SIMULATION OF BACTERIAL INFECTIONS AND RESOURCE STRAIN IN HOSPITALS DURING THE COVID-19 PANDEMIC","funder_award_id":"U01CK000592","funder_id":"https://openalex.org/F4320332162","funder_display_name":"Centers for Disease Control and Prevention"},{"id":"https://openalex.org/G2857196801","display_name":null,"funder_award_id":"DMS-2229605","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3442160084","display_name":null,"funder_award_id":"U01CK000592","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3607446350","display_name":null,"funder_award_id":"2022-MS-152","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4251033944","display_name":null,"funder_award_id":"DUT22LAB305","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5408577845","display_name":null,"funder_award_id":"DUT22LAB305","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5644995178","display_name":null,"funder_award_id":"U01CK000592","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5694926646","display_name":null,"funder_award_id":"75D30122C14289","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6256444366","display_name":null,"funder_award_id":"COVID-19","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6720274678","display_name":null,"funder_award_id":"75D30122C14289","funder_id":"https://openalex.org/F4320332162","funder_display_name":"Centers for Disease Control and Prevention"},{"id":"https://openalex.org/G7322390397","display_name":null,"funder_award_id":"75D30122C14289","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8069823412","display_name":null,"funder_award_id":"2022-MS-152","funder_id":"https://openalex.org/F4320323086","funder_display_name":"Natural Science Foundation of Liaoning Province"},{"id":"https://openalex.org/G8215356871","display_name":null,"funder_award_id":"NU38OT00297","funder_id":"https://openalex.org/F4320308644","funder_display_name":"Council of State and Territorial Epidemiologists"},{"id":"https://openalex.org/G8844545198","display_name":"RAISE: IHBEM: Human Behavior Driven Mathematical Modeling and Forecasting of Respiratory Disease Transmission in Urban Settings","funder_award_id":"2229605","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320308066","display_name":"New York City Department of Health and Mental Hygiene","ror":"https://ror.org/01gst4g14"},{"id":"https://openalex.org/F4320308644","display_name":"Council of State and Territorial Epidemiologists","ror":"https://ror.org/03ax9j741"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322724","display_name":"Ministry of Education, India","ror":"https://ror.org/048xjjh50"},{"id":"https://openalex.org/F4320323086","display_name":"Natural Science Foundation of Liaoning Province","ror":null},{"id":"https://openalex.org/F4320332162","display_name":"Centers for Disease Control and Prevention","ror":"https://ror.org/042twtr12"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409908592.pdf","grobid_xml":"https://content.openalex.org/works/W4409908592.grobid-xml"},"referenced_works_count":80,"referenced_works":["https://openalex.org/W621546036","https://openalex.org/W1628017834","https://openalex.org/W1984688056","https://openalex.org/W1995395876","https://openalex.org/W2004882990","https://openalex.org/W2079884780","https://openalex.org/W2139643914","https://openalex.org/W2143469080","https://openalex.org/W2153611488","https://openalex.org/W2163753340","https://openalex.org/W2172099855","https://openalex.org/W2179584279","https://openalex.org/W2192780418","https://openalex.org/W2563950034","https://openalex.org/W2572702041","https://openalex.org/W2590078953","https://openalex.org/W2730424406","https://openalex.org/W2791420655","https://openalex.org/W2909758842","https://openalex.org/W2984417636","https://openalex.org/W3010131837","https://openalex.org/W3012284084","https://openalex.org/W3012587129","https://openalex.org/W3012928787","https://openalex.org/W3013188135","https://openalex.org/W3013594674","https://openalex.org/W3015573160","https://openalex.org/W3016902371","https://openalex.org/W3020001547","https://openalex.org/W3021302537","https://openalex.org/W3022210384","https://openalex.org/W3025654679","https://openalex.org/W3031381838","https://openalex.org/W3039225830","https://openalex.org/W3089628938","https://openalex.org/W3091692300","https://openalex.org/W3093046487","https://openalex.org/W3093319380","https://openalex.org/W3093783147","https://openalex.org/W3096419685","https://openalex.org/W3096879084","https://openalex.org/W3099011804","https://openalex.org/W3109596041","https://openalex.org/W3118395338","https://openalex.org/W3121139527","https://openalex.org/W3138056315","https://openalex.org/W3153039449","https://openalex.org/W3159918498","https://openalex.org/W3166084170","https://openalex.org/W3168205127","https://openalex.org/W3176897528","https://openalex.org/W3179423943","https://openalex.org/W3182179453","https://openalex.org/W3190593074","https://openalex.org/W3195051481","https://openalex.org/W3201185107","https://openalex.org/W3205830567","https://openalex.org/W3208927710","https://openalex.org/W4213103498","https://openalex.org/W4220756778","https://openalex.org/W4220928523","https://openalex.org/W4223487063","https://openalex.org/W4225486936","https://openalex.org/W4284886202","https://openalex.org/W4290725159","https://openalex.org/W4292417064","https://openalex.org/W4296793770","https://openalex.org/W4307130883","https://openalex.org/W4316506872","https://openalex.org/W4317356311","https://openalex.org/W4320856984","https://openalex.org/W4362521171","https://openalex.org/W4362609000","https://openalex.org/W4386249248","https://openalex.org/W4387569013","https://openalex.org/W4388230284","https://openalex.org/W4389670743","https://openalex.org/W4396950284","https://openalex.org/W4401033172","https://openalex.org/W6929397954"],"related_works":["https://openalex.org/W3212726973","https://openalex.org/W3166307006","https://openalex.org/W4389066596","https://openalex.org/W4403325221","https://openalex.org/W7134853364","https://openalex.org/W3168624044","https://openalex.org/W4308087351","https://openalex.org/W3132308999","https://openalex.org/W4310238833","https://openalex.org/W4224021692"],"abstract_inverted_index":{"Abstract":[0],"The":[1,150],"COVID-19":[2,111,132,217,322,375],"pandemic":[3],"in":[4,14,41,81,114,134,174,195,219,242,255,292,328,355,369],"New":[5],"York":[6],"City":[7],"(NYC)":[8],"was":[9],"characterized":[10],"by":[11,66,146],"marked":[12],"disparities":[13],"disease":[15,244,294],"burdens":[16],"across":[17,324],"neighborhoods.":[18],"Accurate":[19],"neighborhood-level":[20,110,131,157,216,293],"forecasts":[21,38,129,194,218,341],"are":[22],"critical":[23],"for":[24,210,227,304],"planning":[25],"more":[26,251,256],"equitable":[27],"resource":[28],"allocation":[29],"to":[30,57,109,126,199,261,268,385],"reduce":[31],"health":[32],"inequalities;":[33],"however,":[34],"such":[35,70],"spatially":[36],"high-resolution":[37],"remain":[39],"scarce":[40],"operational":[42],"use.":[43],"In":[44,162],"this":[45,107,119,188,380],"study,":[46],"we":[47,85,166,276],"analyze":[48],"aggregated":[49,207,303],"foot":[50,281,300],"traffic":[51,282,301],"data":[52,113,123,209,302],"derived":[53],"from":[54],"mobile":[55],"devices":[56],"measure":[58],"the":[59,163,169,248,278,311,320,343,350,366],"connectivity":[60,142],"among":[61],"42":[62,325],"NYC":[63,115,196,326],"neighborhoods":[64,144,197,327],"driven":[65,145],"various":[67,289],"human":[68,148,212,290],"activities":[69,213],"as":[71],"dining,":[72],"shopping,":[73],"and":[74,100,116,141,181,260,362],"entertainment.":[75],"Using":[76],"real-world":[77,270],"time-varying":[78],"contact":[79,139],"patterns":[80,140,287],"different":[82,147,370],"place":[83,305,371],"categories,":[84,306],"develop":[86],"a":[87,122,332],"parsimonious":[88,333],"behavior-driven":[89,151,189,222,334],"epidemic":[90,258,335],"model":[91,108,120,152,190,223,273,336,381],"that":[92,168,187,206,299,337,349],"incorporates":[93],"population":[94],"mixing,":[95],"indoor":[96,175,356],"crowdedness,":[97],"dwell":[98,182,363],"time,":[99],"seasonality":[101,312],"of":[102,130,156,171,250,272,280,310,313,319,352],"virus":[103],"transmissibility.":[104],"We":[105,136,330,346],"fit":[106],"case":[112],"further":[117],"couple":[118],"with":[121,179,229,308,360],"assimilation":[124],"algorithm":[125],"generate":[127],"short-term":[128,193,340,374],"cases":[133],"2020.":[135,161,329],"find":[137],"differential":[138,367],"between":[143],"activities.":[149],"supports":[153],"accurate":[154],"modeling":[155,245],"SARS-CoV-2":[158,314],"transmission":[159,235],"throughout":[160],"best-fitting":[164],"model,":[165],"estimate":[167,348],"force":[170,351],"infection":[172,353],"(FOI)":[173,354],"settings":[176,357],"increases":[177,358],"sublinearly":[178,359],"crowdedness":[180,361],"time.":[183,364],"Retrospective":[184],"forecasting":[185,318],"demonstrates":[186],"generates":[191,338],"improved":[192,339],"compared":[198],"several":[200],"baseline":[201],"models.":[202],"Our":[203,296],"findings":[204],"indicate":[205,298],"foot-traffic":[208],"routine":[211],"can":[214,316],"support":[215,317],"NYC.":[220],"This":[221],"may":[224],"be":[225,383],"adapted":[226],"use":[228],"other":[230,386],"respiratory":[231,387],"pathogens":[232],"sharing":[233],"similar":[234],"routes.":[236],"Author":[237],"summary":[238],"A":[239],"fundamental":[240],"question":[241],"infectious":[243],"is":[246,266],"whether":[247],"inclusion":[249],"detailed":[252],"processes":[253],"results":[254,297],"precise":[257],"simulation,":[259],"what":[262],"extent":[263],"system":[264],"granularity":[265],"needed":[267],"inform":[269],"application":[271],"outcomes.":[274],"Here,":[275],"investigate":[277],"utility":[279],"data,":[283],"which":[284],"capture":[285],"mobility":[286],"during":[288],"activities,":[291],"modeling.":[295],"combined":[307],"representation":[309],"transmissibility,":[315],"heterogeneous":[321],"spread":[323],"propose":[331],"at":[342],"neighborhood":[344],"level.":[345],"also":[347],"Incorporating":[365],"FOIs":[368],"categories":[372],"improves":[373],"forecasts.":[376],"With":[377],"proper":[378],"modifications,":[379],"could":[382],"applied":[384],"diseases.":[388]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":1}],"updated_date":"2026-11-03T10:50:19.383937","created_date":"2025-04-30T00:00:00"}