{"id":"https://openalex.org/W4385405578","doi":"https://doi.org/10.1109/camsap58249.2023.10403431","title":"Pandemic Intensity Estimation from Stochastic Approximation-Based Algorithms","display_name":"Pandemic Intensity Estimation from Stochastic Approximation-Based Algorithms","publication_year":2023,"publication_date":"2023-12-10","ids":{"openalex":"https://openalex.org/W4385405578","doi":"https://doi.org/10.1109/camsap58249.2023.10403431"},"language":"en","primary_location":{"id":"doi:10.1109/camsap58249.2023.10403431","is_oa":false,"landing_page_url":"https://doi.org/10.1109/camsap58249.2023.10403431","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 9th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-04174245/document","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050643672","display_name":"Patrice Abry","orcid":"https://orcid.org/0000-0002-7096-8290"},"institutions":[{"id":"https://openalex.org/I113428412","display_name":"\u00c9cole Normale Sup\u00e9rieure de Lyon","ror":"https://ror.org/04zmssz18","country_code":"FR","type":"education","lineage":["https://openalex.org/I113428412","https://openalex.org/I203339264"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210096929","display_name":"Laboratoire de Physique de l'ENS de Lyon","ror":"https://ror.org/00w5ay796","country_code":"FR","type":"facility","lineage":["https://openalex.org/I113428412","https://openalex.org/I1294671590","https://openalex.org/I203339264","https://openalex.org/I4210096929"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Patrice Abry","raw_affiliation_strings":["Laboratoire de Physique CNRS, ENS Lyon,FR","Laboratoire de Physique CNRS, ENS Lyon, FR"],"affiliations":[{"raw_affiliation_string":"Laboratoire de Physique CNRS, ENS Lyon,FR","institution_ids":["https://openalex.org/I4210096929","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Laboratoire de Physique CNRS, ENS Lyon, FR","institution_ids":["https://openalex.org/I4210096929","https://openalex.org/I113428412","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008952394","display_name":"Juliette Chevallier","orcid":"https://orcid.org/0000-0002-4736-3904"},"institutions":[{"id":"https://openalex.org/I196454796","display_name":"Institut National des Sciences Appliqu\u00e9es de Toulouse","ror":"https://ror.org/01h8pf755","country_code":"FR","type":"education","lineage":["https://openalex.org/I196454796","https://openalex.org/I4405258862"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Juliette Chevallier","raw_affiliation_strings":["IMT, UMR 5219, INSA Toulouse Université de Toulouse,FR"],"affiliations":[{"raw_affiliation_string":"IMT, UMR 5219, INSA Toulouse Université de Toulouse,FR","institution_ids":["https://openalex.org/I196454796"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089195837","display_name":"Gersende Fort","orcid":"https://orcid.org/0000-0001-5400-1058"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I84500057","display_name":"Institut de Math\u00e9matiques de Toulouse","ror":"https://ror.org/014vp6c30","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I134560555","https://openalex.org/I196454796","https://openalex.org/I4210141950","https://openalex.org/I4210152422","https://openalex.org/I4405258862","https://openalex.org/I4405258862","https://openalex.org/I4405258862","https://openalex.org/I4405258862","https://openalex.org/I4405259414","https://openalex.org/I84500057"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Gersende Fort","raw_affiliation_strings":["IMT, UMR 5219, CNRS Université de Toulouse,FR"],"affiliations":[{"raw_affiliation_string":"IMT, UMR 5219, CNRS Université de Toulouse,FR","institution_ids":["https://openalex.org/I84500057","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057765260","display_name":"Barbara Pascal","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210117005","display_name":"Laboratoire des Sciences du Num\u00e9rique de Nantes","ror":"https://ror.org/02snf8m58","country_code":"FR","type":"facility","lineage":["https://openalex.org/I100445878","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I4210117005","https://openalex.org/I4210124215","https://openalex.org/I4210127572","https://openalex.org/I4210139971","https://openalex.org/I97188460","https://openalex.org/I97188460"]},{"id":"https://openalex.org/I97188460","display_name":"Nantes Universit\u00e9","ror":"https://ror.org/03gnr7b55","country_code":"FR","type":"education","lineage":["https://openalex.org/I97188460"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Barbara Pascal","raw_affiliation_strings":["Nantes Université, ECN CNRS, LS2N,FR"],"affiliations":[{"raw_affiliation_string":"Nantes Université, ECN CNRS, LS2N,FR","institution_ids":["https://openalex.org/I97188460","https://openalex.org/I4210117005","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5050643672"],"corresponding_institution_ids":["https://openalex.org/I113428412","https://openalex.org/I1294671590","https://openalex.org/I4210096929"],"apc_list":null,"apc_paid":null,"fwci":0.2195,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48690512,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"356","last_page":"360"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9998000264167786,"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":0.9998000264167786,"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9760000109672546,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9595999717712402,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7126600742340088},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.5505242943763733},{"id":"https://openalex.org/keywords/pandemic","display_name":"Pandemic","score":0.5197298526763916},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.4854348301887512},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4164600968360901},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37333571910858154},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.36654478311538696},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3446691632270813},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.3189510703086853},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.23651057481765747},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14623317122459412},{"id":"https://openalex.org/keywords/infectious-disease","display_name":"Infectious disease (medical specialty)","score":0.1339908242225647}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7126600742340088},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.5505242943763733},{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.5197298526763916},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.4854348301887512},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4164600968360901},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37333571910858154},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.36654478311538696},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3446691632270813},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.3189510703086853},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.23651057481765747},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14623317122459412},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.1339908242225647},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","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/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/camsap58249.2023.10403431","is_oa":false,"landing_page_url":"https://doi.org/10.1109/camsap58249.2023.10403431","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 9th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-04174245v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04174245","pdf_url":"https://hal.science/hal-04174245/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"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":"2023 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-04174245v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04174245","pdf_url":"https://hal.science/hal-04174245/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"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":"2023 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.5699999928474426}],"awards":[{"id":"https://openalex.org/G5895064501","display_name":null,"funder_award_id":"ANR-19-CE23-0017","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G6773384537","display_name":null,"funder_award_id":"ANR-19-CE23-0017-01 MASDOL,ANR-23-CE48-0009-01 OptiMoCSI","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G804503484","display_name":null,"funder_award_id":"19-CE23-0017-01","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G8318455765","display_name":null,"funder_award_id":"ANR-19","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385405578.pdf","grobid_xml":"https://content.openalex.org/works/W4385405578.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1568229137","https://openalex.org/W1596437242","https://openalex.org/W1994616650","https://openalex.org/W2037482471","https://openalex.org/W2041572706","https://openalex.org/W2043382637","https://openalex.org/W2054640142","https://openalex.org/W2097446414","https://openalex.org/W2109368269","https://openalex.org/W2112680994","https://openalex.org/W2113920645","https://openalex.org/W2171608398","https://openalex.org/W2890028362","https://openalex.org/W2901678663","https://openalex.org/W2901908121","https://openalex.org/W2980308966","https://openalex.org/W3012262100","https://openalex.org/W3080432235","https://openalex.org/W3094510431","https://openalex.org/W3118823227","https://openalex.org/W3123857276","https://openalex.org/W3201446730","https://openalex.org/W4200635313","https://openalex.org/W4221164081","https://openalex.org/W4223485381","https://openalex.org/W4250389103","https://openalex.org/W4285367599","https://openalex.org/W4321004928","https://openalex.org/W6696361608"],"related_works":["https://openalex.org/W2053269318","https://openalex.org/W2364370872","https://openalex.org/W2025614924","https://openalex.org/W2151689585","https://openalex.org/W2380816257","https://openalex.org/W2294335174","https://openalex.org/W2097963413","https://openalex.org/W3145575561","https://openalex.org/W3087071515","https://openalex.org/W3046517191"],"abstract_inverted_index":{"Pandemic":[0],"intensity":[1,91],"monitoring,":[2],"from":[3,34,137,157],"the":[4,8,26,41,48,81,97,103,106,125,144],"earliest":[5],"stages":[6],"of":[7,29,102,105,124,143],"pandemic":[9,49,90],"outbreak,":[10],"constitutes":[11],"a":[12,58,87,117,131],"critical":[13],"scientific":[14],"challenge":[15],"with":[16],"major":[17],"societal":[18],"stakes.":[19],"The":[20,53,141],"task":[21],"is":[22,50,134,148],"significantly":[23],"complicated":[24],"by":[25,40],"low":[27],"quality":[28],"reported":[30],"infection":[31,155],"counts,":[32],"stemming":[33],"emergency":[35],"and":[36,39,72,94],"crisis":[37],"contexts,":[38],"need":[42],"for":[43,68,73,89],"regular":[44],"(daily)":[45],"updates,":[46],"while":[47,76],"still":[51],"active.":[52],"present":[54],"work":[55],"first":[56],"proposes":[57],"parametric":[59],"Hidden":[60],"Markov":[61],"Model":[62],"(HMM)":[63],"aiming":[64],"to":[65,95],"account":[66],"jointly":[67],"epidemic":[69],"propagation":[70],"mechanisms":[71],"low-quality":[74],"data,":[75],"imposing":[77],"epidemic-compliant":[78],"constraints":[79],"on":[80,115,150],"time-varying":[82,126],"reproduction":[83,127],"number,":[84,128],"considered":[85],"as":[86,130],"proxy":[88],"quantification.":[92],"Second,":[93],"avoid":[96],"arbitrary":[98],"or":[99],"expert-based":[100],"tuning":[101],"parameters":[104],"HMM,":[107],"data-driven":[108],"automated":[109],"selection":[110],"procedures":[111],"are":[112],"devised":[113,146],"relying":[114],"tailoring":[116],"stochastic":[118],"Expectation-Maximization":[119],"algorithm.":[120],"Credibility":[121],"interval-based":[122],"estimation":[123],"modeled":[129],"hidden":[132],"variable,":[133],"then":[135],"obtained":[136],"Monte":[138],"Carlo":[139],"sampling.":[140],"potential":[142],"tools":[145],"here":[147],"illustrated":[149],"real":[151],"Covid19":[152],"daily":[153],"new":[154],"counts":[156],"Johns":[158],"Hopkins":[159],"University":[160],"repository.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}