{"id":"https://openalex.org/W4296459216","doi":"https://doi.org/10.1080/10618600.2022.2126483","title":"Sensitivity Analysis of Pandemic Models Can Support Effective Policy Decisions","display_name":"Sensitivity Analysis of Pandemic Models Can Support Effective Policy Decisions","publication_year":2022,"publication_date":"2022-09-19","ids":{"openalex":"https://openalex.org/W4296459216","doi":"https://doi.org/10.1080/10618600.2022.2126483"},"language":"en","primary_location":{"id":"doi:10.1080/10618600.2022.2126483","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10618600.2022.2126483","pdf_url":null,"source":{"id":"https://openalex.org/S76159266","display_name":"Journal of Computational and Graphical Statistics","issn_l":"1061-8600","issn":["1061-8600","1537-2715"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational and Graphical Statistics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084219004","display_name":"Emanuele Borgonovo","orcid":"https://orcid.org/0000-0001-8659-6017"},"institutions":[{"id":"https://openalex.org/I71209653","display_name":"Bocconi University","ror":"https://ror.org/05crjpb27","country_code":"IT","type":"education","lineage":["https://openalex.org/I71209653"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Emanuele Borgonovo","raw_affiliation_strings":["Department of Decision Sciences, Bocconi University, Milan, Italy"],"raw_orcid":"https://orcid.org/0000-0001-8659-6017","affiliations":[{"raw_affiliation_string":"Department of Decision Sciences, Bocconi University, Milan, Italy","institution_ids":["https://openalex.org/I71209653"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004727489","display_name":"Xuefei Lu","orcid":"https://orcid.org/0000-0003-2103-6478"},"institutions":[{"id":"https://openalex.org/I181418319","display_name":"SKEMA Business School","ror":"https://ror.org/036h8vg94","country_code":"FR","type":"education","lineage":["https://openalex.org/I181418319"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Xuefei Lu","raw_affiliation_strings":["SKEMA Business School-Universit\u00e9 C\u00f4te d\u2019Azur, Paris, France"],"raw_orcid":"https://orcid.org/0000-0003-2103-6478","affiliations":[{"raw_affiliation_string":"SKEMA Business School-Universit\u00e9 C\u00f4te d\u2019Azur, Paris, France","institution_ids":["https://openalex.org/I181418319"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084200697","display_name":"Giovanni Rabitti","orcid":"https://orcid.org/0000-0001-9167-0023"},"institutions":[{"id":"https://openalex.org/I32062511","display_name":"Heriot-Watt University","ror":"https://ror.org/04mghma93","country_code":"GB","type":"education","lineage":["https://openalex.org/I32062511"]},{"id":"https://openalex.org/I4210117017","display_name":"Maxwell Institute for Mathematical Sciences","ror":"https://ror.org/02tsqtg57","country_code":"GB","type":"facility","lineage":["https://openalex.org/I32062511","https://openalex.org/I4210117017","https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Giovanni Rabitti","raw_affiliation_strings":["Department of Actuarial Mathematics and Statistics, Heriot-Watt University, Edinburgh, United Kingdom","Maxwell Institute for Mathematical Sciences, Edinburgh, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Actuarial Mathematics and Statistics, Heriot-Watt University, Edinburgh, United Kingdom","institution_ids":["https://openalex.org/I32062511"]},{"raw_affiliation_string":"Maxwell Institute for Mathematical Sciences, Edinburgh, United Kingdom","institution_ids":["https://openalex.org/I4210117017"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5084200697"],"corresponding_institution_ids":["https://openalex.org/I32062511","https://openalex.org/I4210117017"],"apc_list":null,"apc_paid":null,"fwci":0.1503,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54140186,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"32","issue":"3","first_page":"767","last_page":"768"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9955000281333923,"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/T10845","display_name":"Advanced Causal Inference Techniques","score":0.9660999774932861,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pandemic","display_name":"Pandemic","score":0.660437822341919},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5822027325630188},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5573199987411499},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.5459491610527039},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.5413815975189209},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5102293491363525},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.4903678894042969},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.45808401703834534},{"id":"https://openalex.org/keywords/management-science","display_name":"Management science","score":0.4457825720310211},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3233222961425781},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.15948402881622314},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.13242971897125244},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1303340494632721}],"concepts":[{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.660437822341919},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5822027325630188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5573199987411499},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.5459491610527039},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.5413815975189209},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5102293491363525},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.4903678894042969},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.45808401703834534},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.4457825720310211},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3233222961425781},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.15948402881622314},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.13242971897125244},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1303340494632721},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/10618600.2022.2126483","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10618600.2022.2126483","pdf_url":null,"source":{"id":"https://openalex.org/S76159266","display_name":"Journal of Computational and Graphical Statistics","issn_l":"1061-8600","issn":["1061-8600","1537-2715"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational and Graphical Statistics","raw_type":"journal-article"},{"id":"pmh:oai:arts.units.it:11368/3135907","is_oa":false,"landing_page_url":"https://hdl.handle.net/11368/3135907","pdf_url":null,"source":{"id":"https://openalex.org/S4306400480","display_name":"ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I142444530","host_organization_name":"University of Trieste","host_organization_lineage":["https://openalex.org/I142444530"],"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":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2015011409","https://openalex.org/W2063847981","https://openalex.org/W2125847307","https://openalex.org/W2154098388","https://openalex.org/W2789486487","https://openalex.org/W3037038797","https://openalex.org/W3176508703","https://openalex.org/W3212624518"],"related_works":["https://openalex.org/W3136336094","https://openalex.org/W4200558412","https://openalex.org/W120539917","https://openalex.org/W3165628818","https://openalex.org/W3131084444","https://openalex.org/W4281257067","https://openalex.org/W4281740907","https://openalex.org/W3118468330","https://openalex.org/W3135485202","https://openalex.org/W2982428536"],"abstract_inverted_index":{"The":[0],"COVID-19":[1,77],"pandemic":[2,78],"has":[3],"required":[4],"international":[5],"scientific":[6,18],"efforts":[7],"to":[8,23,35,43],"address":[9],"important":[10,88],"aspects":[11],"of":[12,52,70],"the":[13,50,53,68,76],"pandemic.":[14],"Data":[15],"science":[16],"and":[17,26],"modeling":[19,95],"are":[20],"extensively":[21],"used":[22],"provide":[24],"assessments":[25],"predictions":[27],"for":[28],"policy-making":[29],"purposes.":[30],"However,":[31],"resulting":[32],"communications":[33],"need":[34],"be":[36,59],"supported":[37],"by":[38,49,61],"a":[39],"proper":[40],"uncertainty":[41,71],"quantification":[42],"assess":[44],"variability":[45],"in":[46,92],"model":[47],"predictions,":[48],"identification":[51],"key-uncertainty":[54],"drivers.":[55],"This":[56,97],"information":[57],"can":[58,99],"provided":[60],"statisticians":[62],"with":[63],"sensitivity":[64],"analysis":[65],"methods.":[66],"Knowing":[67],"drivers":[69],"supports":[72],"effective":[73],"policy-making.":[74],"Concerning":[75],"diffusion,":[79],"two":[80,93],"recent":[81],"investigations":[82],"reveal":[83],"intervention-related":[84],"parameters":[85,91],"as":[86],"more":[87],"than":[89],"epidemiological":[90],"different":[94],"exercises.":[96],"result":[98],"help":[100],"prioritize":[101],"policy":[102],"decisions.":[103]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}