{"id":"https://openalex.org/W7030334840","doi":null,"title":"Neural network and graph neural network surrogate models for spatially resolved models in computational epidemiology","display_name":"Neural network and graph neural network surrogate models for spatially resolved models in computational epidemiology","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W7030334840"},"language":"en","primary_location":{"id":"pmh:oai:elib.dlr.de:205656","doi":null,"is_oa":true,"landing_page_url":"https://elib.dlr.de/205656/1/Abgabeversion_7356749_73179.pdf","pdf_url":"https://elib.dlr.de/205656/1/Abgabeversion_7356749_73179.pdf","source":{"id":"https://openalex.org/S4377196266","display_name":"elib (German Aerospace Center)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2898391981","host_organization_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","host_organization_lineage":["https://openalex.org/I2898391981"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Hochschulschrift"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://elib.dlr.de/205656/1/Abgabeversion_7356749_73179.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Schmidt, Agatha","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Schmidt, Agatha","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.611299991607666,"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":0.611299991607666,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.25099998712539673,"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"}},{"id":"https://openalex.org/T10482","display_name":"Mathematical and Theoretical Epidemiology and Ecology Models","score":0.05820000171661377,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/surrogate-modeling","display_name":"surrogate models","score":0.9409999847412109},{"id":"https://openalex.org/keywords/graph-neural-networks","display_name":"graph neural networks","score":0.9559999704360962},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.9380000233650208},{"id":"https://openalex.org/keywords/computational-epidemiology","display_name":"computational epidemiology","score":0.7099999785423279},{"id":"https://openalex.org/keywords/ordinary-differential-equations","display_name":"ordinary differential equations","score":0.8069999814033508},{"id":"https://openalex.org/keywords/sars-cov-2","display_name":"SARS-CoV-2","score":0.921999990940094},{"id":"https://openalex.org/keywords/model-acceleration","display_name":"model acceleration","score":0.3440000116825104},{"id":"https://openalex.org/keywords/decision-support","display_name":"decision support","score":0.4650000035762787}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7125999927520752},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7039999961853027},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6032999753952026},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5932000279426575},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.536899983882904},{"id":"https://openalex.org/C51544822","wikidata":"https://www.wikidata.org/wiki/Q465274","display_name":"Ordinary differential equation","level":3,"score":0.5},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4650999903678894},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.45989999175071716},{"id":"https://openalex.org/C76969082","wikidata":"https://www.wikidata.org/wiki/Q486902","display_name":"Mathematical model","level":2,"score":0.41760000586509705},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39579999446868896},{"id":"https://openalex.org/C3832189","wikidata":"https://www.wikidata.org/wiki/Q8588916","display_name":"Models of neural computation","level":3,"score":0.35749998688697815},{"id":"https://openalex.org/C78045399","wikidata":"https://www.wikidata.org/wiki/Q11214","display_name":"Differential equation","level":2,"score":0.3488999903202057},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.3224000036716461},{"id":"https://openalex.org/C93226319","wikidata":"https://www.wikidata.org/wiki/Q193137","display_name":"Differential (mechanical device)","level":2,"score":0.3089999854564667},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3050000071525574},{"id":"https://openalex.org/C58328972","wikidata":"https://www.wikidata.org/wiki/Q184609","display_name":"Expert system","level":2,"score":0.2980000078678131},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2915000021457672},{"id":"https://openalex.org/C55037315","wikidata":"https://www.wikidata.org/wiki/Q5421151","display_name":"Experimental data","level":2,"score":0.2745000123977661},{"id":"https://openalex.org/C104122410","wikidata":"https://www.wikidata.org/wiki/Q1416406","display_name":"Network model","level":2,"score":0.27300000190734863},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.26899999380111694}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:elib.dlr.de:205656","doi":null,"is_oa":true,"landing_page_url":"https://elib.dlr.de/205656/1/Abgabeversion_7356749_73179.pdf","pdf_url":"https://elib.dlr.de/205656/1/Abgabeversion_7356749_73179.pdf","source":{"id":"https://openalex.org/S4377196266","display_name":"elib (German Aerospace Center)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2898391981","host_organization_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","host_organization_lineage":["https://openalex.org/I2898391981"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Hochschulschrift"}],"best_oa_location":{"id":"pmh:oai:elib.dlr.de:205656","doi":null,"is_oa":true,"landing_page_url":"https://elib.dlr.de/205656/1/Abgabeversion_7356749_73179.pdf","pdf_url":"https://elib.dlr.de/205656/1/Abgabeversion_7356749_73179.pdf","source":{"id":"https://openalex.org/S4377196266","display_name":"elib (German Aerospace Center)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2898391981","host_organization_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","host_organization_lineage":["https://openalex.org/I2898391981"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Hochschulschrift"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7030334840.pdf","grobid_xml":"https://content.openalex.org/works/W7030334840.grobid-xml"},"referenced_works_count":60,"referenced_works":["https://openalex.org/W1983345514","https://openalex.org/W2056544360","https://openalex.org/W2064675550","https://openalex.org/W2101836785","https://openalex.org/W2112796928","https://openalex.org/W2116341502","https://openalex.org/W2148301044","https://openalex.org/W2150355110","https://openalex.org/W2158985775","https://openalex.org/W2162554556","https://openalex.org/W2166681504","https://openalex.org/W2176353499","https://openalex.org/W2519887557","https://openalex.org/W2603648311","https://openalex.org/W2756203131","https://openalex.org/W2766453196","https://openalex.org/W2767404761","https://openalex.org/W2768008502","https://openalex.org/W2770778700","https://openalex.org/W2786999873","https://openalex.org/W2792839479","https://openalex.org/W2798329844","https://openalex.org/W2885195348","https://openalex.org/W2899283552","https://openalex.org/W2907492528","https://openalex.org/W2908064175","https://openalex.org/W2912374992","https://openalex.org/W2912636151","https://openalex.org/W2948230027","https://openalex.org/W2953521532","https://openalex.org/W2963076818","https://openalex.org/W2965341826","https://openalex.org/W2968608148","https://openalex.org/W3015706362","https://openalex.org/W3019674250","https://openalex.org/W3022911069","https://openalex.org/W3036016037","https://openalex.org/W3080334529","https://openalex.org/W3080555959","https://openalex.org/W3082190749","https://openalex.org/W3083161015","https://openalex.org/W3085954833","https://openalex.org/W3089349608","https://openalex.org/W3092172785","https://openalex.org/W3125676075","https://openalex.org/W3149267640","https://openalex.org/W3168972368","https://openalex.org/W3168997536","https://openalex.org/W3171088072","https://openalex.org/W3173869574","https://openalex.org/W3175110359","https://openalex.org/W3200982616","https://openalex.org/W4200269653","https://openalex.org/W4211225168","https://openalex.org/W4226172675","https://openalex.org/W4280510841","https://openalex.org/W4289389616","https://openalex.org/W4388152645","https://openalex.org/W4405428529","https://openalex.org/W6903784109"],"related_works":["https://openalex.org/W4404401818","https://openalex.org/W4402412191","https://openalex.org/W4311994855","https://openalex.org/W4377081899","https://openalex.org/W7203901866","https://openalex.org/W4367181393","https://openalex.org/W4388718768","https://openalex.org/W3140253027","https://openalex.org/W6949394580","https://openalex.org/W7203503850"],"abstract_inverted_index":{"Expert":[0],"compartment":[1,47],"models":[2],"based":[3],"on":[4,102],"ordinary":[5],"differential":[6,41],"equations":[7,42],"(ODE)":[8],"are":[9],"fundamental":[10],"tools":[11],"in":[12,123],"the":[13,33,36,40,86,90,106,138],"field":[14],"of":[15,24,35,43,53,68,134,140],"epidemiological":[16],"modeling,":[17],"providing":[18],"high":[19],"quality":[20],"predictions":[21,114],"and":[22,66,89,96,147],"assessment":[23],"containment":[25],"strategies":[26],"as":[27],"became":[28],"evident":[29],"once":[30],"more":[31],"with":[32,55,93,117],"emergence":[34],"SARS-CoV-2":[37],"virus.":[38],"Solving":[39],"a":[44,97,119],"spatially":[45],"resolved":[46],"model":[48,88,92,108],"for":[49,131,150],"all":[50],"400":[51],"counties":[52],"Germany":[54],"included":[56],"contact-reducing":[57],"measures":[58],"requires":[59],"significant":[60],"computation":[61],"time":[62],"when":[63],"done":[64],"thousands":[65,67],"times.":[69],"In":[70],"contrast,":[71],"machine":[72],"learning":[73],"models,":[74],"after":[75],"extensive":[76],"training,":[77],"can":[78],"offer":[79],"rapid":[80],"predictions.":[81],"We":[82],"suggest":[83],"to":[84,109],"replace":[85],"ODE-based":[87],"Graph-ODE":[91],"neural":[94],"networks":[95],"Graph":[98],"Neural":[99],"Networks":[100],"trained":[101],"data":[103],"generated":[104],"from":[105],"expert":[107],"provide":[110,145],"single":[111],"or":[112],"multiple":[113],"very":[115],"fast":[116,132],"only":[118],"little":[120],"trade":[121],"off":[122],"accuracy.":[124],"This":[125],"suggested":[126],"approach":[127],"yields":[128],"great":[129],"potential":[130],"approximation":[133],"complex":[135],"simulations,":[136],"facilitating":[137],"development":[139],"public":[141],"web":[142],"applications":[143],"that":[144],"user-friendly":[146],"time-efficient":[148],"simulations":[149],"decision-makers.":[151]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2025-10-10T00:00:00"}
