Challenges in estimation, uncertainty quantification and elicitation for pandemic modelling.
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| Title: | Challenges in estimation, uncertainty quantification and elicitation for pandemic modelling. |
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| Authors: | Swallow B; School of Mathematics and Statistics, University of Glasgow, Glasgow, UK; Scottish COVID-19 Response Consortium, UK. Electronic address: ben.swallow@glasgow.ac.uk., Birrell P; Analytics & Data Science, UKHSA, UK; MRC Biostatistics Unit, University of Cambridge, Cambridge, UK., Blake J; MRC Biostatistics Unit, University of Cambridge, Cambridge, UK., Burgman M; Centre for Environmental Policy, Imperial College London, London, UK., Challenor P; The Alan Turing Institute, London, UK; College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, UK., Coffeng LE; Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands., Dawid P; Statistical Laboratory, University of Cambridge, Cambridge, UK., De Angelis D; MRC Biostatistics Unit, University of Cambridge, Cambridge, UK; Joint UNIversities Pandemic and Epidemiological Research, UK., Goldstein M; Department of Mathematical Sciences, Durham University, Stockton Road, Durham, UK., Hemming V; Department of Forest and Conservation Sciences, University of British Columbia, Vancouver, Canada., Marion G; Scottish COVID-19 Response Consortium, UK; Biomathematics and Statistics Scotland, Edinburgh, UK., McKinley TJ; College of Medicine and Health, University of Exeter, Exeter, UK; Joint UNIversities Pandemic and Epidemiological Research, UK., Overton CE; Department of Mathematics, University of Manchester, Manchester, UK; Clinical Data Science Unit, Manchester University NHS Foundation Trust, Manchester, UK; Joint UNIversities Pandemic and Epidemiological Research, UK., Panovska-Griffiths J; The Big Data Institute, University of Oxford, Oxford, UK; The Queen's College, University of Oxford, Oxford, UK., Pellis L; Department of Mathematics, University of Manchester, Manchester, UK; Joint UNIversities Pandemic and Epidemiological Research, UK; The Alan Turing Institute, London, UK., Probert W; The Big Data Institute, University of Oxford, Oxford, UK., Shea K; Department of Biology and Centre for Infectious Disease Dynamics, The Pennsylvania State University, PA 16802, USA., Villela D; Program of Scientific Computing, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil., Vernon I; Department of Mathematical Sciences, Durham University, Stockton Road, Durham, UK. |
| Source: | Epidemics [Epidemics] 2022 Mar; Vol. 38, pp. 100547. Date of Electronic Publication: 2022 Feb 10. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S. |
| Journal Info: | Publisher: Elsevier Country of Publication: Netherlands NLM ID: 101484711 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1878-0067 (Electronic) Linking ISSN: 18780067 NLM ISO Abbreviation: Epidemics Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 35180542 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Challenges in estimation, uncertainty quantification and elicitation for pandemic modelling. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Swallow+B%22">Swallow B</searchLink>; School of Mathematics and Statistics, University of Glasgow, Glasgow, UK; Scottish COVID-19 Response Consortium, UK. Electronic address: ben.swallow@glasgow.ac.uk.<br /><searchLink fieldCode="AU" term="%22Birrell+P%22">Birrell P</searchLink>; Analytics & Data Science, UKHSA, UK; MRC Biostatistics Unit, University of Cambridge, Cambridge, UK.<br /><searchLink fieldCode="AU" term="%22Blake+J%22">Blake J</searchLink>; MRC Biostatistics Unit, University of Cambridge, Cambridge, UK.<br /><searchLink fieldCode="AU" term="%22Burgman+M%22">Burgman M</searchLink>; Centre for Environmental Policy, Imperial College London, London, UK.<br /><searchLink fieldCode="AU" term="%22Challenor+P%22">Challenor P</searchLink>; The Alan Turing Institute, London, UK; College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, UK.<br /><searchLink fieldCode="AU" term="%22Coffeng+LE%22">Coffeng LE</searchLink>; Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Dawid+P%22">Dawid P</searchLink>; Statistical Laboratory, University of Cambridge, Cambridge, UK.<br /><searchLink fieldCode="AU" term="%22De+Angelis+D%22">De Angelis D</searchLink>; MRC Biostatistics Unit, University of Cambridge, Cambridge, UK; Joint UNIversities Pandemic and Epidemiological Research, UK.<br /><searchLink fieldCode="AU" term="%22Goldstein+M%22">Goldstein M</searchLink>; Department of Mathematical Sciences, Durham University, Stockton Road, Durham, UK.<br /><searchLink fieldCode="AU" term="%22Hemming+V%22">Hemming V</searchLink>; Department of Forest and Conservation Sciences, University of British Columbia, Vancouver, Canada.<br /><searchLink fieldCode="AU" term="%22Marion+G%22">Marion G</searchLink>; Scottish COVID-19 Response Consortium, UK; Biomathematics and Statistics Scotland, Edinburgh, UK.<br /><searchLink fieldCode="AU" term="%22McKinley+TJ%22">McKinley TJ</searchLink>; College of Medicine and Health, University of Exeter, Exeter, UK; Joint UNIversities Pandemic and Epidemiological Research, UK.<br /><searchLink fieldCode="AU" term="%22Overton+CE%22">Overton CE</searchLink>; Department of Mathematics, University of Manchester, Manchester, UK; Clinical Data Science Unit, Manchester University NHS Foundation Trust, Manchester, UK; Joint UNIversities Pandemic and Epidemiological Research, UK.<br /><searchLink fieldCode="AU" term="%22Panovska-Griffiths+J%22">Panovska-Griffiths J</searchLink>; The Big Data Institute, University of Oxford, Oxford, UK; The Queen's College, University of Oxford, Oxford, UK.<br /><searchLink fieldCode="AU" term="%22Pellis+L%22">Pellis L</searchLink>; Department of Mathematics, University of Manchester, Manchester, UK; Joint UNIversities Pandemic and Epidemiological Research, UK; The Alan Turing Institute, London, UK.<br /><searchLink fieldCode="AU" term="%22Probert+W%22">Probert W</searchLink>; The Big Data Institute, University of Oxford, Oxford, UK.<br /><searchLink fieldCode="AU" term="%22Shea+K%22">Shea K</searchLink>; Department of Biology and Centre for Infectious Disease Dynamics, The Pennsylvania State University, PA 16802, USA.<br /><searchLink fieldCode="AU" term="%22Villela+D%22">Villela D</searchLink>; Program of Scientific Computing, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil.<br /><searchLink fieldCode="AU" term="%22Vernon+I%22">Vernon I</searchLink>; Department of Mathematical Sciences, Durham University, Stockton Road, Durham, UK. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101484711%22">Epidemics</searchLink> [Epidemics] 2022 Mar; Vol. 38, pp. 100547. <i>Date of Electronic Publication: </i>2022 Feb 10. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S. – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>101484711 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1878-0067 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2218780067%22">18780067 </searchLink><i>NLM ISO Abbreviation: </i>Epidemics <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=35180542 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.epidem.2022.100547 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 100547 Titles: – TitleFull: Challenges in estimation, uncertainty quantification and elicitation for pandemic modelling. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Swallow B – PersonEntity: Name: NameFull: Birrell P – PersonEntity: Name: NameFull: Blake J – PersonEntity: Name: NameFull: Burgman M – PersonEntity: Name: NameFull: Challenor P – PersonEntity: Name: NameFull: Coffeng LE – PersonEntity: Name: NameFull: Dawid P – PersonEntity: Name: NameFull: De Angelis D – PersonEntity: Name: NameFull: Goldstein M – PersonEntity: Name: NameFull: Hemming V – PersonEntity: Name: NameFull: Marion G – PersonEntity: Name: NameFull: McKinley TJ – PersonEntity: Name: NameFull: Overton CE – PersonEntity: Name: NameFull: Panovska-Griffiths J – PersonEntity: Name: NameFull: Pellis L – PersonEntity: Name: NameFull: Probert W – PersonEntity: Name: NameFull: Shea K – PersonEntity: Name: NameFull: Villela D – PersonEntity: Name: NameFull: Vernon I IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: 2022 Mar Type: published Y: 2022 Identifiers: – Type: issn-electronic Value: 1878-0067 Numbering: – Type: volume Value: 38 Titles: – TitleFull: Epidemics Type: main |
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