{"id":"https://openalex.org/W3047685294","doi":"https://doi.org/10.1109/mci.2020.3019874","title":"A Bayesian Updating Scheme for Pandemics: Estimating the Infection Dynamics of COVID-19","display_name":"A Bayesian Updating Scheme for Pandemics: Estimating the Infection Dynamics of COVID-19","publication_year":2020,"publication_date":"2020-10-15","ids":{"openalex":"https://openalex.org/W3047685294","doi":"https://doi.org/10.1109/mci.2020.3019874","mag":"3047685294"},"language":"en","primary_location":{"id":"doi:10.1109/mci.2020.3019874","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mci.2020.3019874","pdf_url":null,"source":{"id":"https://openalex.org/S104797584","display_name":"IEEE Computational Intelligence Magazine","issn_l":"1556-603X","issn":["1556-603X","1556-6048"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Computational Intelligence Magazine","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://research.manchester.ac.uk/en/publications/5af13c48-4d9e-45cf-b29f-476ed2192304","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009414213","display_name":"Shuo Wang","orcid":"https://orcid.org/0000-0002-2072-2962"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shuo Wang","raw_affiliation_strings":["Imperial College London, London, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imperial College London, London, United Kingdom","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018266083","display_name":"Xian Yang","orcid":"https://orcid.org/0000-0002-1496-8923"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xian Yang","raw_affiliation_strings":["Hong Kong Baptist University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong Baptist University, China","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100435342","display_name":"Ling Li","orcid":"https://orcid.org/0000-0002-4026-0216"},"institutions":[{"id":"https://openalex.org/I20581793","display_name":"University of Kent","ror":"https://ror.org/00xkeyj56","country_code":"GB","type":"education","lineage":["https://openalex.org/I20581793"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ling Li","raw_affiliation_strings":["University of Kent, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Kent, United Kingdom","institution_ids":["https://openalex.org/I20581793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010692785","display_name":"Philip Nadler","orcid":"https://orcid.org/0000-0002-7235-118X"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Philip Nadler","raw_affiliation_strings":["Imperial College London, London, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imperial College London, London, United Kingdom","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085852399","display_name":"Rossella Arcucci","orcid":"https://orcid.org/0000-0002-9471-0585"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Rossella Arcucci","raw_affiliation_strings":["Imperial College London, London, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imperial College London, London, United Kingdom","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060511746","display_name":"Yuan Huang","orcid":"https://orcid.org/0000-0002-2044-099X"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yuan Huang","raw_affiliation_strings":["University of Cambridge, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cambridge, United Kingdom","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100372526","display_name":"Zhongzhao Teng","orcid":"https://orcid.org/0000-0003-3973-6157"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zhongzhao Teng","raw_affiliation_strings":["University of Cambridge, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cambridge, United Kingdom","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045081171","display_name":"Yike Guo","orcid":"https://orcid.org/0000-0002-3075-2161"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yike Guo","raw_affiliation_strings":["Hong Kong Baptist University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong Baptist University, China","institution_ids":["https://openalex.org/I141568987"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2995,"currency":"USD","value_usd":2995},"apc_paid":null,"fwci":0.481,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.71267489,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"15","issue":"4","first_page":"23","last_page":"33"},"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/T11711","display_name":"COVID-19 Pandemic Impacts","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11886","display_name":"Agricultural risk and resilience","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/1111","display_name":"Soil Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6550479531288147},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.6221529245376587},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.619188666343689},{"id":"https://openalex.org/keywords/pandemic","display_name":"Pandemic","score":0.5746442079544067},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.4897480010986328},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.4577038288116455},{"id":"https://openalex.org/keywords/data-assimilation","display_name":"Data assimilation","score":0.45144861936569214},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4241827726364136},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.3281952440738678},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19591942429542542},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.188257098197937},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16465741395950317},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.09063476324081421},{"id":"https://openalex.org/keywords/infectious-disease","display_name":"Infectious disease (medical specialty)","score":0.07974892854690552}],"concepts":[{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6550479531288147},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.6221529245376587},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.619188666343689},{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.5746442079544067},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.4897480010986328},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4577038288116455},{"id":"https://openalex.org/C24552861","wikidata":"https://www.wikidata.org/wiki/Q2670177","display_name":"Data assimilation","level":2,"score":0.45144861936569214},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4241827726364136},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3281952440738678},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19591942429542542},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.188257098197937},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16465741395950317},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.09063476324081421},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.07974892854690552},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","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":[],"locations_count":7,"locations":[{"id":"doi:10.1109/mci.2020.3019874","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mci.2020.3019874","pdf_url":null,"source":{"id":"https://openalex.org/S104797584","display_name":"IEEE Computational Intelligence Magazine","issn_l":"1556-603X","issn":["1556-603X","1556-6048"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Computational Intelligence Magazine","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:openaire/5af13c48-4d9e-45cf-b29f-476ed2192304","is_oa":true,"landing_page_url":"https://research.manchester.ac.uk/en/publications/5af13c48-4d9e-45cf-b29f-476ed2192304","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Wang, S, Yang, X, Li, L, Nadler, P, Arcucci, R, Huang, Y, Teng, Z & Guo, Y 2020, 'A bayesian updating scheme for pandemics : estimating the infection dynamics of covid-19', IEEE Computational Intelligence Magazine, vol. 15, no. 4, pp. 23-33. https://doi.org/10.1109/MCI.2020.3019874","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:openaccess.city.ac.uk:29808","is_oa":false,"landing_page_url":"https://openaccess.city.ac.uk/view/creators_id/caroline=2Eli.html>","pdf_url":null,"source":{"id":"https://openalex.org/S4306401940","display_name":"City Research Online (City University London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I180825142","host_organization_name":"City, University of London","host_organization_lineage":["https://openalex.org/I180825142"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"pmh:oai:arXiv.org:2006.12177","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2006.12177","pdf_url":"https://arxiv.org/pdf/2006.12177","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"pmh:oai:kar.kent.ac.uk:82582","is_oa":true,"landing_page_url":"https://doi.org/10.1109/MCI.2020.3019874>)","pdf_url":"https://kar.kent.ac.uk/82582/2/FINAL%20VERSION.pdf","source":{"id":"https://openalex.org/S4377196264","display_name":"Kent Academic Repository (University of Kent)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I20581793","host_organization_name":"University of Kent","host_organization_lineage":["https://openalex.org/I20581793"],"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:pure.atira.dk:publications/5af13c48-4d9e-45cf-b29f-476ed2192304","is_oa":true,"landing_page_url":"https://www.research.manchester.ac.uk/portal/en/publications/a-bayesian-updating-scheme-for-pandemics(5af13c48-4d9e-45cf-b29f-476ed2192304).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Wang, S, Yang, X, Li, L, Nadler, P, Arcucci, R, Huang, Y, Teng, Z & Guo, Y 2020, 'A bayesian updating scheme for pandemics : estimating the infection dynamics of covid-19', IEEE Computational Intelligence Magazine, vol. 15, no. 4, pp. 23-33. https://doi.org/10.1109/MCI.2020.3019874","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-122456","is_oa":false,"landing_page_url":"http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=000579337000005","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"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"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:openaire/5af13c48-4d9e-45cf-b29f-476ed2192304","is_oa":true,"landing_page_url":"https://research.manchester.ac.uk/en/publications/5af13c48-4d9e-45cf-b29f-476ed2192304","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Wang, S, Yang, X, Li, L, Nadler, P, Arcucci, R, Huang, Y, Teng, Z & Guo, Y 2020, 'A bayesian updating scheme for pandemics : estimating the infection dynamics of covid-19', IEEE Computational Intelligence Magazine, vol. 15, no. 4, pp. 23-33. https://doi.org/10.1109/MCI.2020.3019874","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"score":0.8299999833106995,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[{"id":"https://openalex.org/G1755984640","display_name":null,"funder_award_id":"EP/N014588/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320320273","display_name":"University of Cambridge","ror":"https://ror.org/013meh722"},{"id":"https://openalex.org/F4320320283","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10"},{"id":"https://openalex.org/F4320320666","display_name":"University of Kent","ror":"https://ror.org/00xkeyj56"},{"id":"https://openalex.org/F4320320955","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W650496038","https://openalex.org/W1493790738","https://openalex.org/W1548037568","https://openalex.org/W1999223777","https://openalex.org/W2024923675","https://openalex.org/W2025316801","https://openalex.org/W2032827588","https://openalex.org/W2039696702","https://openalex.org/W2071747085","https://openalex.org/W2097446414","https://openalex.org/W2102187991","https://openalex.org/W2163930085","https://openalex.org/W2568598096","https://openalex.org/W2799455368","https://openalex.org/W2971072970","https://openalex.org/W3003573988","https://openalex.org/W3003668884","https://openalex.org/W3008443627","https://openalex.org/W3012284084","https://openalex.org/W3013215798","https://openalex.org/W3014242527","https://openalex.org/W3015792206","https://openalex.org/W3025328995","https://openalex.org/W3026046290","https://openalex.org/W3032971139","https://openalex.org/W3038804008","https://openalex.org/W3040236936","https://openalex.org/W4233734028","https://openalex.org/W4251960031","https://openalex.org/W7006580286"],"related_works":["https://openalex.org/W2931688134","https://openalex.org/W2377919138","https://openalex.org/W2378857091","https://openalex.org/W103652678","https://openalex.org/W4226090359","https://openalex.org/W2059697060","https://openalex.org/W936373746","https://openalex.org/W2975817033","https://openalex.org/W4256502920","https://openalex.org/W4382701072"],"abstract_inverted_index":{"Epidemic":[0],"models":[1,18],"play":[2],"a":[3,42,63,90,110],"key":[4],"role":[5],"in":[6,140,149],"understanding":[7],"and":[8,21,67,82,108,143,145],"responding":[9],"to":[10,26,53,85,99,120],"the":[11,32,35,55,73,122,129,132,137,146,150],"emerging":[12],"COVID-19":[13],"pandemic.":[14,33],"Widely":[15],"used":[16],"compartmental":[17],"are":[19,22],"static":[20],"of":[23,30,37,57,75,124,131],"limited":[24],"use":[25],"evaluate":[27],"intervention":[28,59,87,125,138],"strategies":[29,126],"combatting":[31],"Applying":[34],"technology":[36],"data":[38,94],"assimilation,":[39],"we":[40],"propose":[41,68],"Bayesian":[43,111],"updating":[44,112],"approach":[45],"for":[46],"estimating":[47],"epidemiological":[48],"parameters":[49,70,102],"using":[50],"observable":[51],"information":[52],"assess":[54],"impacts":[56,88,123,139],"different":[58],"strategies.":[60],"We":[61,135],"adopt":[62],"concise":[64],"renewal":[65],"model":[66],"new":[69],"by":[71,127],"disentangling":[72],"reduction":[74],"instantaneous":[76],"reproduction":[77],"number":[78],"Rt":[79],"into":[80],"mitigation":[81],"suppression":[83],"factors":[84],"quantify":[86,121],"at":[89],"finer":[91],"granularity.":[92],"A":[93,114],"assimilation":[95],"framework":[96,117],"is":[97,118],"developed":[98],"estimate":[100],"these":[101],"including":[103],"constructing":[104],"an":[105],"observation":[106],"function":[107],"developing":[109],"scheme.":[113],"statistical":[115],"analysis":[116],"built":[119],"monitoring":[128],"evolution":[130],"estimated":[133],"parameters.":[134],"reveal":[136],"European":[141],"countries":[142],"Wuhan":[144],"resurgence":[147],"risk":[148],"United":[151],"States.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":2}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2020-10-29T00:00:00"}