{"id":"https://openalex.org/W3092492044","doi":"https://doi.org/10.32614/rj-2020-020","title":"Individual-Level Modelling of Infectious Disease Data: EpiILM","display_name":"Individual-Level Modelling of Infectious Disease Data: EpiILM","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3092492044","doi":"https://doi.org/10.32614/rj-2020-020","mag":"3092492044"},"language":"en","primary_location":{"id":"doi:10.32614/rj-2020-020","is_oa":true,"landing_page_url":"https://doi.org/10.32614/rj-2020-020","pdf_url":"https://journal.r-project.org/archive/2020/RJ-2020-020/RJ-2020-020.pdf","source":{"id":"https://openalex.org/S2489169438","display_name":"The R Journal","issn_l":"2073-4859","issn":["2073-4859"],"is_oa":true,"is_in_doaj":false,"is_core":true,"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The R Journal","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://journal.r-project.org/archive/2020/RJ-2020-020/RJ-2020-020.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5098570573","display_name":"Warriyar Vineetha","orcid":null},"institutions":[{"id":"https://openalex.org/I156216236","display_name":"Qassim University","ror":"https://ror.org/01wsfe280","country_code":"SA","type":"education","lineage":["https://openalex.org/I156216236"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Vineetha,Warriyar,K. V.","raw_affiliation_strings":["Department of Mathematics College of Science and Arts in Ar Rass Qassim University Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics College of Science and Arts in Ar Rass Qassim University Saudi Arabia","institution_ids":["https://openalex.org/I156216236"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021288680","display_name":"Waleed Almutiry","orcid":"https://orcid.org/0000-0003-4497-1362"},"institutions":[{"id":"https://openalex.org/I156216236","display_name":"Qassim University","ror":"https://ror.org/01wsfe280","country_code":"SA","type":"education","lineage":["https://openalex.org/I156216236"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Waleed Almutiry","raw_affiliation_strings":["Department of Mathematics College of Science and Arts in Ar Rass Qassim University Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics College of Science and Arts in Ar Rass Qassim University Saudi Arabia","institution_ids":["https://openalex.org/I156216236"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028898834","display_name":"Rob Deardon","orcid":"https://orcid.org/0000-0003-0151-6028"},"institutions":[{"id":"https://openalex.org/I156216236","display_name":"Qassim University","ror":"https://ror.org/01wsfe280","country_code":"SA","type":"education","lineage":["https://openalex.org/I156216236"]}],"countries":["SA"],"is_corresponding":true,"raw_author_name":"Rob Deardon","raw_affiliation_strings":["Department of Mathematics College of Science and Arts in Ar Rass Qassim University Saudi Arabia","Faculty of Veterinary Medicine and Department of Mathematics and Statistics"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics College of Science and Arts in Ar Rass Qassim University Saudi Arabia","institution_ids":["https://openalex.org/I156216236"]},{"raw_affiliation_string":"Faculty of Veterinary Medicine and Department of Mathematics and Statistics","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5028898834"],"corresponding_institution_ids":["https://openalex.org/I156216236"],"apc_list":null,"apc_paid":null,"fwci":0.105,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.50838743,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"12","issue":"1","first_page":"87","last_page":"87"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9919000267982483,"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":0.9919000267982483,"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/T13283","display_name":"Mental Health Research Topics","score":0.9812999963760376,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9613000154495239,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.8296852111816406},{"id":"https://openalex.org/keywords/r-package","display_name":"R package","score":0.8190300464630127},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6677682995796204},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.627260684967041},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5851650238037109},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.5285792946815491},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.49711349606513977},{"id":"https://openalex.org/keywords/infectious-disease","display_name":"Infectious disease (medical specialty)","score":0.4834093153476715},{"id":"https://openalex.org/keywords/metropolis\u2013hastings-algorithm","display_name":"Metropolis\u2013Hastings algorithm","score":0.4778539836406708},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4667046070098877},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4463745355606079},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38135725259780884},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3399277627468109},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27131205797195435},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2420819103717804},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.17488864064216614},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.12899574637413025},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1242741048336029},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08195272088050842}],"concepts":[{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.8296852111816406},{"id":"https://openalex.org/C2984074130","wikidata":"https://www.wikidata.org/wiki/Q73539779","display_name":"R package","level":2,"score":0.8190300464630127},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6677682995796204},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.627260684967041},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5851650238037109},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.5285792946815491},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.49711349606513977},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.4834093153476715},{"id":"https://openalex.org/C204693719","wikidata":"https://www.wikidata.org/wiki/Q910810","display_name":"Metropolis\u2013Hastings algorithm","level":4,"score":0.4778539836406708},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4667046070098877},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4463745355606079},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38135725259780884},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3399277627468109},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27131205797195435},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2420819103717804},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.17488864064216614},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.12899574637413025},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1242741048336029},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08195272088050842},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.32614/rj-2020-020","is_oa":true,"landing_page_url":"https://doi.org/10.32614/rj-2020-020","pdf_url":"https://journal.r-project.org/archive/2020/RJ-2020-020/RJ-2020-020.pdf","source":{"id":"https://openalex.org/S2489169438","display_name":"The R Journal","issn_l":"2073-4859","issn":["2073-4859"],"is_oa":true,"is_in_doaj":false,"is_core":true,"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The R Journal","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.32614/rj-2020-020","is_oa":true,"landing_page_url":"https://doi.org/10.32614/rj-2020-020","pdf_url":"https://journal.r-project.org/archive/2020/RJ-2020-020/RJ-2020-020.pdf","source":{"id":"https://openalex.org/S2489169438","display_name":"The R Journal","issn_l":"2073-4859","issn":["2073-4859"],"is_oa":true,"is_in_doaj":false,"is_core":true,"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The R Journal","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[{"id":"https://openalex.org/G2165548363","display_name":null,"funder_award_id":"Canada","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"},{"id":"https://openalex.org/G8284766523","display_name":null,"funder_award_id":"(NSERC)","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"},{"id":"https://openalex.org/G856527327","display_name":null,"funder_award_id":"Postdoctoral","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"}],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3092492044.pdf","grobid_xml":"https://content.openalex.org/works/W3092492044.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W642759834","https://openalex.org/W1536086841","https://openalex.org/W2002379568","https://openalex.org/W2013065368","https://openalex.org/W2021393388","https://openalex.org/W2081961076","https://openalex.org/W2097025153","https://openalex.org/W2109185224","https://openalex.org/W2119813768","https://openalex.org/W2226254047","https://openalex.org/W2555286646","https://openalex.org/W2804938199","https://openalex.org/W2950781014","https://openalex.org/W3101060889","https://openalex.org/W3147894994","https://openalex.org/W4392619154","https://openalex.org/W4399524967","https://openalex.org/W4399538704","https://openalex.org/W4399579661","https://openalex.org/W4399581037","https://openalex.org/W4399583511"],"related_works":["https://openalex.org/W2956835927","https://openalex.org/W2392396032","https://openalex.org/W2071668645","https://openalex.org/W4250051631","https://openalex.org/W160986626","https://openalex.org/W2073412813","https://openalex.org/W4362705882","https://openalex.org/W4390532044","https://openalex.org/W217235565","https://openalex.org/W3087071515"],"abstract_inverted_index":{"In":[0],"this":[1],"article":[2],"we":[3],"introduce":[4],"the":[5,65,82],"R":[6],"package":[7,66,83],"EpiILM,":[8],"which":[9],"provides":[10],"tools":[11],"for":[12],"simulation":[13],"from,":[14],"and":[15,35,58,67,91],"inference":[16,28],"for,":[17],"discrete-time":[18],"individual-level":[19],"models":[20,61],"of":[21,81],"infectious":[22],"disease":[23],"transmission":[24],"proposed":[25],"by":[26],"The":[27],"is":[29,36,84],"set":[30,70],"in":[31,54,64,71],"a":[32],"Bayesian":[33],"framework":[34],"carried":[37],"out":[38],"via":[39],"Metropolis-Hastings":[40],"Markov":[41],"chain":[42],"Monte":[43],"Carlo":[44],"(MCMC).":[45],"For":[46],"its":[47],"fast":[48],"implementation,":[49],"key":[50],"functions":[51],"are":[52,62],"coded":[53],"Fortran.":[55],"Both":[56],"spatial":[57],"contact":[59],"network":[60],"implemented":[63],"can":[68],"be":[69],"either":[72],"susceptible-infected":[73],"(SI)":[74],"or":[75],"susceptible-infected-removed":[76],"(SIR)":[77],"compartmental":[78],"frameworks.":[79],"Use":[80],"demonstrated":[85],"through":[86],"examples":[87],"involving":[88],"both":[89],"simulated":[90],"real":[92],"data.":[93]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
