{"id":"https://openalex.org/W4294844327","doi":"https://doi.org/10.1371/journal.pcbi.1010390","title":"A computational framework for modelling infectious disease policy based on age and household structure with applications to the COVID-19 pandemic","display_name":"A computational framework for modelling infectious disease policy based on age and household structure with applications to the COVID-19 pandemic","publication_year":2022,"publication_date":"2022-09-06","ids":{"openalex":"https://openalex.org/W4294844327","doi":"https://doi.org/10.1371/journal.pcbi.1010390","pmid":"https://pubmed.ncbi.nlm.nih.gov/36067212"},"language":"en","primary_location":{"id":"doi:10.1371/journal.pcbi.1010390","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1010390","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.1010390","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087646566","display_name":"Joe Hilton","orcid":"https://orcid.org/0000-0002-2787-3827"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Joe Hilton","raw_affiliation_strings":["School of Life Sciences, University of Warwick, Coventry, United Kingdom","Zeeman Institue (SBIDER), University of Warwick, Coventry, United Kingdom"],"affiliations":[{"raw_affiliation_string":"School of Life Sciences, University of Warwick, Coventry, United Kingdom","institution_ids":["https://openalex.org/I39555362"]},{"raw_affiliation_string":"Zeeman Institue (SBIDER), University of Warwick, Coventry, United Kingdom","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084831415","display_name":"Heather Riley","orcid":"https://orcid.org/0000-0001-6133-9292"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Heather Riley","raw_affiliation_strings":["Department of Mathematics, University of Manchester, Manchester, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Manchester, Manchester, United Kingdom","institution_ids":["https://openalex.org/I28407311"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006090253","display_name":"Lorenzo Pellis","orcid":"https://orcid.org/0000-0002-3436-6487"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]},{"id":"https://openalex.org/I4210128584","display_name":"The Alan Turing Institute","ror":"https://ror.org/035dkdb55","country_code":"GB","type":"facility","lineage":["https://openalex.org/I4210128584"]},{"id":"https://openalex.org/I125680101","display_name":"Turing Institute","ror":"https://ror.org/02x2mw849","country_code":"GB","type":"facility","lineage":["https://openalex.org/I125680101"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Lorenzo Pellis","raw_affiliation_strings":["Department of Mathematics, University of Manchester, Manchester, United Kingdom","The Alan Turing Institute for Data Science and Artificial Intelligence, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Manchester, Manchester, United Kingdom","institution_ids":["https://openalex.org/I28407311"]},{"raw_affiliation_string":"The Alan Turing Institute for Data Science and Artificial Intelligence, London, United Kingdom","institution_ids":["https://openalex.org/I125680101","https://openalex.org/I4210128584"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090262495","display_name":"Rabia Aziza","orcid":"https://orcid.org/0000-0003-3461-2622"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Rabia Aziza","raw_affiliation_strings":["School of Life Sciences, University of Warwick, Coventry, United Kingdom","Zeeman Institue (SBIDER), University of Warwick, Coventry, United Kingdom"],"affiliations":[{"raw_affiliation_string":"School of Life Sciences, University of Warwick, Coventry, United Kingdom","institution_ids":["https://openalex.org/I39555362"]},{"raw_affiliation_string":"Zeeman Institue (SBIDER), University of Warwick, Coventry, United Kingdom","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042065599","display_name":"Samuel P. C. Brand","orcid":"https://orcid.org/0000-0003-0645-5367"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]},{"id":"https://openalex.org/I2841861","display_name":"Kenya Medical Research Institute","ror":"https://ror.org/04r1cxt79","country_code":"KE","type":"facility","lineage":["https://openalex.org/I2841861","https://openalex.org/I87048295"]}],"countries":["GB","KE"],"is_corresponding":false,"raw_author_name":"Samuel P. C. Brand","raw_affiliation_strings":["Kenya Medical Research Institute - Wellcome Trust Research Programme, Kilifi, Kenya","School of Life Sciences, University of Warwick, Coventry, United Kingdom","Zeeman Institue (SBIDER), University of Warwick, Coventry, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Kenya Medical Research Institute - Wellcome Trust Research Programme, Kilifi, Kenya","institution_ids":["https://openalex.org/I2841861"]},{"raw_affiliation_string":"School of Life Sciences, University of Warwick, Coventry, United Kingdom","institution_ids":["https://openalex.org/I39555362"]},{"raw_affiliation_string":"Zeeman Institue (SBIDER), University of Warwick, Coventry, United Kingdom","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052629281","display_name":"Ivy K. Kombe","orcid":"https://orcid.org/0000-0003-1228-8227"},"institutions":[{"id":"https://openalex.org/I2841861","display_name":"Kenya Medical Research Institute","ror":"https://ror.org/04r1cxt79","country_code":"KE","type":"facility","lineage":["https://openalex.org/I2841861","https://openalex.org/I87048295"]}],"countries":["KE"],"is_corresponding":false,"raw_author_name":"Ivy K. Kombe","raw_affiliation_strings":["Kenya Medical Research Institute - Wellcome Trust Research Programme, Kilifi, Kenya"],"affiliations":[{"raw_affiliation_string":"Kenya Medical Research Institute - Wellcome Trust Research Programme, Kilifi, Kenya","institution_ids":["https://openalex.org/I2841861"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003592255","display_name":"John Ojal","orcid":"https://orcid.org/0000-0002-3010-1158"},"institutions":[{"id":"https://openalex.org/I4210089966","display_name":"London School of Hygiene & Tropical Medicine","ror":"https://ror.org/00a0jsq62","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I4210089966"]},{"id":"https://openalex.org/I2841861","display_name":"Kenya Medical Research Institute","ror":"https://ror.org/04r1cxt79","country_code":"KE","type":"facility","lineage":["https://openalex.org/I2841861","https://openalex.org/I87048295"]}],"countries":["GB","KE"],"is_corresponding":false,"raw_author_name":"John Ojal","raw_affiliation_strings":["Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom","Kenya Medical Research Institute - Wellcome Trust Research Programme, Kilifi, Kenya"],"affiliations":[{"raw_affiliation_string":"Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom","institution_ids":["https://openalex.org/I4210089966"]},{"raw_affiliation_string":"Kenya Medical Research Institute - Wellcome Trust Research Programme, Kilifi, Kenya","institution_ids":["https://openalex.org/I2841861"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015746144","display_name":"Andrea Parisi","orcid":"https://orcid.org/0000-0003-2972-9770"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Andrea Parisi","raw_affiliation_strings":["School of Life Sciences, University of Warwick, Coventry, United Kingdom","Zeeman Institue (SBIDER), University of Warwick, Coventry, United Kingdom"],"affiliations":[{"raw_affiliation_string":"School of Life Sciences, University of Warwick, Coventry, United Kingdom","institution_ids":["https://openalex.org/I39555362"]},{"raw_affiliation_string":"Zeeman Institue (SBIDER), University of Warwick, Coventry, United Kingdom","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086651355","display_name":"Matt J. Keeling","orcid":"https://orcid.org/0000-0003-4639-4765"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Matt J. Keeling","raw_affiliation_strings":["Mathematics Institute, University of Warwick, Coventry, United Kingdom","School of Life Sciences, University of Warwick, Coventry, United Kingdom","Zeeman Institue (SBIDER), University of Warwick, Coventry, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Mathematics Institute, University of Warwick, Coventry, United Kingdom","institution_ids":["https://openalex.org/I39555362"]},{"raw_affiliation_string":"School of Life Sciences, University of Warwick, Coventry, United Kingdom","institution_ids":["https://openalex.org/I39555362"]},{"raw_affiliation_string":"Zeeman Institue (SBIDER), University of Warwick, Coventry, United Kingdom","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087452041","display_name":"D. James Nokes","orcid":"https://orcid.org/0000-0001-5426-1984"},"institutions":[{"id":"https://openalex.org/I2841861","display_name":"Kenya Medical Research Institute","ror":"https://ror.org/04r1cxt79","country_code":"KE","type":"facility","lineage":["https://openalex.org/I2841861","https://openalex.org/I87048295"]},{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB","KE"],"is_corresponding":false,"raw_author_name":"D. James Nokes","raw_affiliation_strings":["Kenya Medical Research Institute - Wellcome Trust Research Programme, Kilifi, Kenya","School of Life Sciences, University of Warwick, Coventry, United Kingdom","Zeeman Institue (SBIDER), University of Warwick, Coventry, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Kenya Medical Research Institute - Wellcome Trust Research Programme, Kilifi, Kenya","institution_ids":["https://openalex.org/I2841861"]},{"raw_affiliation_string":"School of Life Sciences, University of Warwick, Coventry, United Kingdom","institution_ids":["https://openalex.org/I39555362"]},{"raw_affiliation_string":"Zeeman Institue (SBIDER), University of Warwick, Coventry, United Kingdom","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081478532","display_name":"Robert Sawko","orcid":"https://orcid.org/0000-0002-0235-9266"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Robert Manson-Sawko","raw_affiliation_strings":["IBM Research Europe, Hartree Centre, Daresbury, United Kingdom"],"affiliations":[{"raw_affiliation_string":"IBM Research Europe, Hartree Centre, Daresbury, United Kingdom","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051842696","display_name":"Thomas House","orcid":"https://orcid.org/0000-0001-5835-8062"},"institutions":[{"id":"https://openalex.org/I4210128584","display_name":"The Alan Turing Institute","ror":"https://ror.org/035dkdb55","country_code":"GB","type":"facility","lineage":["https://openalex.org/I4210128584"]},{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]},{"id":"https://openalex.org/I125680101","display_name":"Turing Institute","ror":"https://ror.org/02x2mw849","country_code":"GB","type":"facility","lineage":["https://openalex.org/I125680101"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Thomas House","raw_affiliation_strings":["Department of Mathematics, University of Manchester, Manchester, United Kingdom","IBM Research Europe, Hartree Centre, Daresbury, United Kingdom","The Alan Turing Institute for Data Science and Artificial Intelligence, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Manchester, Manchester, United Kingdom","institution_ids":["https://openalex.org/I28407311"]},{"raw_affiliation_string":"IBM Research Europe, Hartree Centre, Daresbury, United Kingdom","institution_ids":[]},{"raw_affiliation_string":"The Alan Turing Institute for Data Science and Artificial Intelligence, London, United Kingdom","institution_ids":["https://openalex.org/I125680101","https://openalex.org/I4210128584"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":12,"corresponding_author_ids":["https://openalex.org/A5087646566"],"corresponding_institution_ids":["https://openalex.org/I39555362"],"apc_list":{"value":2655,"currency":"USD","value_usd":2655},"apc_paid":{"value":2655,"currency":"USD","value_usd":2655},"fwci":1.7774,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.83823723,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"18","issue":"9","first_page":"e1010390","last_page":"e1010390"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9994999766349792,"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":0.9994999766349792,"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/T14509","display_name":"demographic modeling and climate adaptation","score":0.9488999843597412,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"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/T10439","display_name":"Climate change impacts on agriculture","score":0.9061999917030334,"subfield":{"id":"https://openalex.org/subfields/1105","display_name":"Ecology, Evolution, Behavior and Systematics"},"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/interpretability","display_name":"Interpretability","score":0.6932480931282043},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6140432953834534},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.5784002542495728},{"id":"https://openalex.org/keywords/pandemic","display_name":"Pandemic","score":0.5621769428253174},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5370622277259827},{"id":"https://openalex.org/keywords/ordinary-differential-equation","display_name":"Ordinary differential equation","score":0.4961596429347992},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.4650002717971802},{"id":"https://openalex.org/keywords/infectious-disease","display_name":"Infectious disease (medical specialty)","score":0.3995148539543152},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.3704224228858948},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3338494896888733},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.3250854015350342},{"id":"https://openalex.org/keywords/differential-equation","display_name":"Differential equation","score":0.25273364782333374},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2518013119697571},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2256256639957428},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.18298444151878357},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.13375255465507507}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.6932480931282043},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6140432953834534},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.5784002542495728},{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.5621769428253174},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5370622277259827},{"id":"https://openalex.org/C51544822","wikidata":"https://www.wikidata.org/wiki/Q465274","display_name":"Ordinary differential equation","level":3,"score":0.4961596429347992},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4650002717971802},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.3995148539543152},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.3704224228858948},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3338494896888733},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3250854015350342},{"id":"https://openalex.org/C78045399","wikidata":"https://www.wikidata.org/wiki/Q11214","display_name":"Differential equation","level":2,"score":0.25273364782333374},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2518013119697571},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2256256639957428},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.18298444151878357},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.13375255465507507},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/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":"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":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000517","qualifier_name":"prevention & control","is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000517","qualifier_name":"prevention & control","is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000517","qualifier_name":"prevention & control","is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000517","qualifier_name":"prevention & control","is_major_topic":true},{"descriptor_ui":"D000086402","descriptor_name":"SARS-CoV-2","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000086402","descriptor_name":"SARS-CoV-2","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000086402","descriptor_name":"SARS-CoV-2","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000086402","descriptor_name":"SARS-CoV-2","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003140","descriptor_name":"Communicable Disease Control","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D003140","descriptor_name":"Communicable Disease Control","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D003140","descriptor_name":"Communicable Disease Control","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D003140","descriptor_name":"Communicable Disease Control","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D003141","descriptor_name":"Communicable Diseases","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003141","descriptor_name":"Communicable Diseases","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003141","descriptor_name":"Communicable Diseases","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003141","descriptor_name":"Communicable Diseases","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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057766","descriptor_name":"Policy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057766","descriptor_name":"Policy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057766","descriptor_name":"Policy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057766","descriptor_name":"Policy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058873","descriptor_name":"Pandemics","qualifier_ui":"Q000517","qualifier_name":"prevention & control","is_major_topic":false},{"descriptor_ui":"D058873","descriptor_name":"Pandemics","qualifier_ui":"Q000517","qualifier_name":"prevention & control","is_major_topic":false},{"descriptor_ui":"D058873","descriptor_name":"Pandemics","qualifier_ui":"Q000517","qualifier_name":"prevention & control","is_major_topic":false},{"descriptor_ui":"D058873","descriptor_name":"Pandemics","qualifier_ui":"Q000517","qualifier_name":"prevention & control","is_major_topic":false}],"locations_count":6,"locations":[{"id":"doi:10.1371/journal.pcbi.1010390","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1010390","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:36067212","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36067212","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:wrap.warwick.ac.uk:168805","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400665","display_name":"Warwick Research Archive Portal (University of Warwick)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39555362","host_organization_name":"University of Warwick","host_organization_lineage":["https://openalex.org/I39555362"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},{"id":"pmh:oai:doaj.org/article:02b6fb610350430bbeaf24087ceca9da","is_oa":true,"landing_page_url":"https://doaj.org/article/02b6fb610350430bbeaf24087ceca9da","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Computational Biology, Vol 18, Iss 9, p e1010390 (2022)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:9481179","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9481179","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"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:pure.atira.dk:openaire/af773601-ba75-42cf-aaa4-46c6e6d6f782","is_oa":true,"landing_page_url":"https://research.manchester.ac.uk/en/publications/af773601-ba75-42cf-aaa4-46c6e6d6f782","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":"Hilton, J, Riley, H, Pellis, L, Aziza, R, Brand, S P C, Kombe, I K, Ojal, J, Parisi, A, Keeling, M J, James Nokes, D, Manson-Sawko, R & House, T 2022, 'A computational framework for modelling infectious disease policy based on age and household structure with applications to the COVID-19 pandemic', PLoS computational biology, vol. 18, no. 9, e1010390. https://doi.org/10.1371/journal.pcbi.1010390","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1371/journal.pcbi.1010390","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1010390","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":0.7699999809265137,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G3366749788","display_name":null,"funder_award_id":"220985","funder_id":"https://openalex.org/F4320311904","funder_display_name":"Wellcome Trust"},{"id":"https://openalex.org/G4286653186","display_name":null,"funder_award_id":"EP/V027468/1","funder_id":"https://openalex.org/F4320314731","funder_display_name":"UK Research and Innovation"},{"id":"https://openalex.org/G5177373253","display_name":null,"funder_award_id":"17/63/82","funder_id":"https://openalex.org/F4320319990","funder_display_name":"National Institute for Health and Care Research"},{"id":"https://openalex.org/G5259080522","display_name":null,"funder_award_id":"220985/Z/20/Z","funder_id":"https://openalex.org/F4320311904","funder_display_name":"Wellcome Trust"},{"id":"https://openalex.org/G5732145507","display_name":null,"funder_award_id":"220985/Z/20/Z","funder_id":"https://openalex.org/F4320307874","funder_display_name":"Wellcome"},{"id":"https://openalex.org/G7252289059","display_name":null,"funder_award_id":"220985/Z/20/Z","funder_id":"https://openalex.org/F4320330760","funder_display_name":"Foreign, Commonwealth and Development Office"},{"id":"https://openalex.org/G7951963797","display_name":null,"funder_award_id":"INF/R2/180067","funder_id":"https://openalex.org/F4320320006","funder_display_name":"Royal Society"}],"funders":[{"id":"https://openalex.org/F4320307874","display_name":"Wellcome","ror":"https://ror.org/029chgv08"},{"id":"https://openalex.org/F4320311904","display_name":"Wellcome Trust","ror":"https://ror.org/029chgv08"},{"id":"https://openalex.org/F4320313467","display_name":"Alan Turing Institute","ror":"https://ror.org/035dkdb55"},{"id":"https://openalex.org/F4320314731","display_name":"UK Research and Innovation","ror":"https://ror.org/001aqnf71"},{"id":"https://openalex.org/F4320319990","display_name":"National Institute for Health and Care Research","ror":"https://ror.org/0187kwz08"},{"id":"https://openalex.org/F4320320006","display_name":"Royal Society","ror":"https://ror.org/03wnrjx87"},{"id":"https://openalex.org/F4320330760","display_name":"Foreign, Commonwealth and Development Office","ror":null},{"id":"https://openalex.org/F4320334632","display_name":"Science and Technology Facilities Council","ror":"https://ror.org/057g20z61"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W1910874260","https://openalex.org/W1968179080","https://openalex.org/W1978018742","https://openalex.org/W1982017841","https://openalex.org/W1985871374","https://openalex.org/W1993213860","https://openalex.org/W2006423444","https://openalex.org/W2040467538","https://openalex.org/W2046132247","https://openalex.org/W2055726230","https://openalex.org/W2093879031","https://openalex.org/W2102645068","https://openalex.org/W2114565488","https://openalex.org/W2118524012","https://openalex.org/W2159301256","https://openalex.org/W2404791248","https://openalex.org/W2755849266","https://openalex.org/W2965852633","https://openalex.org/W3003257820","https://openalex.org/W3005809335","https://openalex.org/W3011534780","https://openalex.org/W3012789146","https://openalex.org/W3015538318","https://openalex.org/W3021151406","https://openalex.org/W3022210384","https://openalex.org/W3032971139","https://openalex.org/W3034304416","https://openalex.org/W3039571446","https://openalex.org/W3040468796","https://openalex.org/W3048238828","https://openalex.org/W3087248341","https://openalex.org/W3095683209","https://openalex.org/W3098773228","https://openalex.org/W3103145119","https://openalex.org/W3107228910","https://openalex.org/W3111985903","https://openalex.org/W3116362583","https://openalex.org/W3126707232","https://openalex.org/W3127271954","https://openalex.org/W3128269865","https://openalex.org/W3132732596","https://openalex.org/W3135257712","https://openalex.org/W3136211144","https://openalex.org/W3141675411","https://openalex.org/W3152622859","https://openalex.org/W3164020792","https://openalex.org/W3185461295","https://openalex.org/W3204695807","https://openalex.org/W3207215952","https://openalex.org/W4210823650","https://openalex.org/W4214485832","https://openalex.org/W4220824273","https://openalex.org/W4225834134","https://openalex.org/W4236624053","https://openalex.org/W4239351965","https://openalex.org/W4254786535","https://openalex.org/W4302331569","https://openalex.org/W4388299012","https://openalex.org/W6713177822"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4390569940","https://openalex.org/W4361193272","https://openalex.org/W2963326959","https://openalex.org/W4388685194","https://openalex.org/W4312407344","https://openalex.org/W2894289927"],"abstract_inverted_index":{"The":[0],"widespread,":[1],"and":[2,74,101,140,183,198,211,221,237],"in":[3,60,108,172],"many":[4,55],"countries":[5],"unprecedented,":[6],"use":[7],"of":[8,28,39,69,91,98,110,113,136,142,148,162,181,189,201,218,244],"non-pharmaceutical":[9],"interventions":[10],"(NPIs)":[11],"during":[12,175,192,203],"the":[13,18,26,34,48,89,146,159,163,173,176,242],"COVID-19":[14,178],"pandemic":[15],"has":[16],"highlighted":[17],"need":[19],"for":[20,33,44,88,117,131],"mathematical":[21,75,233],"models":[22,65,230],"which":[23,118,166],"can":[24,224],"estimate":[25],"impact":[27],"these":[29],"measures":[30,165],"while":[31],"accounting":[32,42],"highly":[35],"heterogeneous":[36],"risk":[37,219],"profile":[38],"COVID-19.":[40],"Models":[41],"either":[43,168],"age":[45,99],"structure":[46,50,70,100,223],"or":[47,170],"household":[49,102],"necessary":[51],"to":[52,78,128,247],"explicitly":[53],"model":[54,105,132,150,236],"NPIs":[56,202],"are":[57],"commonly":[58],"used":[59],"infectious":[61,228,248],"disease":[62,229,249],"modelling,":[63],"but":[64],"incorporating":[66],"both":[67],"levels":[68],"present":[71,84],"substantial":[72],"computational":[73],"challenges":[76],"due":[77],"their":[79],"high":[80],"dimensionality.":[81],"Here":[82],"we":[83,119,157],"a":[85],"modelling":[86],"framework":[87],"spread":[90],"an":[92,121],"epidemic":[93],"that":[94,215],"includes":[95],"explicit":[96],"representation":[97],"structure.":[103],"Our":[104,206],"is":[106],"formulated":[107],"terms":[109],"tractable":[111],"systems":[112],"ordinary":[114,207],"differential":[115,208],"equations":[116],"provide":[120],"open-source":[122],"Python":[123],"implementation.":[124],"Such":[125],"tractability":[126],"leads":[127],"significant":[129],"benefits":[130,161],"calibration,":[133],"exhaustive":[134],"evaluation":[135],"possible":[137],"parameter":[138],"values,":[139],"interpretability":[141],"results.":[143],"We":[144],"demonstrate":[145,214],"flexibility":[147],"our":[149],"through":[151,186],"four":[152],"policy":[153,250],"case":[154],"studies,":[155],"where":[156],"quantify":[158],"likely":[160],"following":[164],"were":[167],"considered":[169],"implemented":[171],"UK":[174],"current":[177],"pandemic:":[179],"control":[180],"within-":[182],"between-household":[184],"mixing":[185],"NPIs;":[187],"formation":[188],"support":[190],"bubbles":[191],"lockdown":[193],"periods;":[194],"out-of-household":[195],"isolation":[196],"(OOHI);":[197],"temporary":[199],"relaxation":[200],"holiday":[204],"periods.":[205],"equation":[209],"formulation":[210],"associated":[212],"analysis":[213],"multiple":[216],"dimensions":[217],"stratification":[220],"social":[222],"be":[225],"incorporated":[226],"into":[227],"without":[231],"sacrificing":[232],"tractability.":[234],"This":[235],"its":[238],"software":[239],"implementation":[240],"expand":[241],"range":[243],"tools":[245],"available":[246],"analysts.":[251]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}