{"id":"https://openalex.org/W2019197489","doi":"https://doi.org/10.1016/j.procs.2010.04.252","title":"Demographic and behavioural change during epidemics","display_name":"Demographic and behavioural change during epidemics","publication_year":2010,"publication_date":"2010-05-01","ids":{"openalex":"https://openalex.org/W2019197489","doi":"https://doi.org/10.1016/j.procs.2010.04.252","mag":"2019197489"},"language":"en","primary_location":{"id":"doi:10.1016/j.procs.2010.04.252","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2010.04.252","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1016/j.procs.2010.04.252","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055130536","display_name":"Christel Kamp","orcid":"https://orcid.org/0000-0001-9997-6772"},"institutions":[{"id":"https://openalex.org/I884002606","display_name":"Paul Ehrlich Institut","ror":"https://ror.org/00yssnc44","country_code":"DE","type":"facility","lineage":["https://openalex.org/I884002606"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Christel Kamp","raw_affiliation_strings":["Paul-Ehrlich-Institut, Federal Institute for Vaccines and Biomedicines, Paul-Ehrlich-StraSSe 51-59, 63225 Langen, Germany"],"affiliations":[{"raw_affiliation_string":"Paul-Ehrlich-Institut, Federal Institute for Vaccines and Biomedicines, Paul-Ehrlich-StraSSe 51-59, 63225 Langen, Germany","institution_ids":["https://openalex.org/I884002606"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5055130536"],"corresponding_institution_ids":["https://openalex.org/I884002606"],"apc_list":null,"apc_paid":null,"fwci":0.8989,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.73262599,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"1","issue":"1","first_page":"2253","last_page":"2259"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9994000196456909,"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":0.9994000196456909,"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/T10482","display_name":"Mathematical and Theoretical Epidemiology and Ecology Models","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9973000288009644,"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/computer-science","display_name":"Computer science","score":0.828005313873291},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.6676883101463318},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.6361441016197205},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.5659034848213196},{"id":"https://openalex.org/keywords/degree","display_name":"Degree (music)","score":0.4757497012615204},{"id":"https://openalex.org/keywords/epidemic-model","display_name":"Epidemic model","score":0.47223353385925293},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45743826031684875},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4526330530643463},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.43320131301879883},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.3742027282714844},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.17134100198745728},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15559899806976318},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1451079249382019},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10138750076293945},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07532432675361633}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.828005313873291},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.6676883101463318},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.6361441016197205},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.5659034848213196},{"id":"https://openalex.org/C2775997480","wikidata":"https://www.wikidata.org/wiki/Q586277","display_name":"Degree (music)","level":2,"score":0.4757497012615204},{"id":"https://openalex.org/C1627819","wikidata":"https://www.wikidata.org/wiki/Q2572354","display_name":"Epidemic model","level":3,"score":0.47223353385925293},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45743826031684875},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4526330530643463},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.43320131301879883},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.3742027282714844},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.17134100198745728},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15559899806976318},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1451079249382019},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10138750076293945},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07532432675361633},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.procs.2010.04.252","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2010.04.252","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.procs.2010.04.252","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2010.04.252","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.8700000047683716,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1526841711","https://openalex.org/W1976687367","https://openalex.org/W1986131165","https://openalex.org/W2000687288","https://openalex.org/W2014763402","https://openalex.org/W2023968886","https://openalex.org/W2030539428","https://openalex.org/W2034785206","https://openalex.org/W2040956707","https://openalex.org/W2071802245","https://openalex.org/W2096287634","https://openalex.org/W2100776472","https://openalex.org/W2107324390","https://openalex.org/W2132353593","https://openalex.org/W2141206236","https://openalex.org/W2159191994","https://openalex.org/W2161728228","https://openalex.org/W2161944342","https://openalex.org/W2991654668","https://openalex.org/W4256656807","https://openalex.org/W6679771698","https://openalex.org/W6683303554","https://openalex.org/W6819705579"],"related_works":["https://openalex.org/W4241523039","https://openalex.org/W2360028903","https://openalex.org/W4280543773","https://openalex.org/W178231042","https://openalex.org/W2366083136","https://openalex.org/W2387622493","https://openalex.org/W1932132538","https://openalex.org/W2357832196","https://openalex.org/W1566252468","https://openalex.org/W2617830793"],"abstract_inverted_index":{"The":[0,27,81,104,123],"speed":[1],"and":[2,13,33,99,108,113,119,129],"range":[3],"of":[4,15,36,51,61,83,106,136,142],"epidemic":[5,31,65,74],"spreading":[6,32],"is":[7,40,86,116,126],"strongly":[8],"influenced":[9],"by":[10,47],"the":[11,16,34,37,59,73,84,134],"topology":[12],"dynamics":[14],"relevant":[17],"transmission":[18,38,95],"network.":[19],"This":[20,55],"is,":[21],"however,":[22],"not":[23],"a":[24,43,48],"uni-directional":[25],"relationship.":[26],"mutual":[28],"interaction":[29],"between":[30],"evolution":[35],"network":[39],"described":[41],"within":[42],"new":[44],"mathematical":[45],"framework":[46],"closed":[49],"set":[50],"partial":[52],"differential":[53],"equations.":[54],"allows":[56],"to":[57,72,78,132],"investigate":[58],"influence":[60],"demographic":[62,107],"change":[63,110],"on":[64,94,111],"events.":[66],"These":[67],"may":[68],"arise":[69],"in":[70,88,121,139],"response":[71],"itself":[75],"or":[76],"due":[77],"external":[79],"factors.":[80],"use":[82],"method":[85],"demonstrated":[87],"case":[89],"studies":[90],"dealing":[91],"with":[92,97],"epidemics":[93,112],"networks":[96],"Poisson":[98],"scale":[100],"free":[101],"degree":[102],"distributions.":[103],"impact":[105],"behavioural":[109],"their":[114],"control":[115],"pointed":[117],"out":[118],"analysed":[120],"detail.":[122],"presented":[124],"technique":[125],"computationally":[127],"efficient":[128],"can":[130],"help":[131],"extend":[133],"scope":[135],"current":[137],"approaches":[138],"computational":[140],"modeling":[141],"disease":[143],"spreading.":[144]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}