{"id":"https://openalex.org/W2977340525","doi":"https://doi.org/10.1109/ijcnn.2019.8851749","title":"Combining Street-level and Aerial Images for Dengue Incidence Rate Estimation","display_name":"Combining Street-level and Aerial Images for Dengue Incidence Rate Estimation","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2977340525","doi":"https://doi.org/10.1109/ijcnn.2019.8851749","mag":"2977340525"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2019.8851749","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8851749","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090783967","display_name":"Virginia Ortiz Andersson","orcid":"https://orcid.org/0000-0002-3540-2013"},"institutions":[{"id":"https://openalex.org/I169248161","display_name":"Universidade Federal de Pelotas","ror":"https://ror.org/05msy9z54","country_code":"BR","type":"education","lineage":["https://openalex.org/I169248161"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Virginia Ortiz Andersson","raw_affiliation_strings":["Graduation Program in Computer Science (PPGC), Federal University Of Pelotas (UFPel), Pelotas, RS, Brazil"],"affiliations":[{"raw_affiliation_string":"Graduation Program in Computer Science (PPGC), Federal University Of Pelotas (UFPel), Pelotas, RS, Brazil","institution_ids":["https://openalex.org/I169248161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010713340","display_name":"Cristian Cechinel","orcid":"https://orcid.org/0000-0001-6384-409X"},"institutions":[{"id":"https://openalex.org/I169248161","display_name":"Universidade Federal de Pelotas","ror":"https://ror.org/05msy9z54","country_code":"BR","type":"education","lineage":["https://openalex.org/I169248161"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Cristian Cechinel","raw_affiliation_strings":["Graduation Program in Computer Science (PPGC), Federal University Of Pelotas (UFPel), Pelotas, RS, Brazil"],"affiliations":[{"raw_affiliation_string":"Graduation Program in Computer Science (PPGC), Federal University Of Pelotas (UFPel), Pelotas, RS, Brazil","institution_ids":["https://openalex.org/I169248161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075685976","display_name":"Ricardo Ara\u00fajo","orcid":"https://orcid.org/0000-0003-0514-8883"},"institutions":[{"id":"https://openalex.org/I169248161","display_name":"Universidade Federal de Pelotas","ror":"https://ror.org/05msy9z54","country_code":"BR","type":"education","lineage":["https://openalex.org/I169248161"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Ricardo Matsumura Araujo","raw_affiliation_strings":["Graduation Program in Computer Science (PPGC), Federal University Of Pelotas (UFPel), Pelotas, RS, Brazil"],"affiliations":[{"raw_affiliation_string":"Graduation Program in Computer Science (PPGC), Federal University Of Pelotas (UFPel), Pelotas, RS, Brazil","institution_ids":["https://openalex.org/I169248161"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5090783967"],"corresponding_institution_ids":["https://openalex.org/I169248161"],"apc_list":null,"apc_paid":null,"fwci":0.8941,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.74559649,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9865999817848206,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9706000089645386,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/dengue-fever","display_name":"Dengue fever","score":0.7387301921844482},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6400709748268127},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5578345060348511},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5397613048553467},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5052135586738586},{"id":"https://openalex.org/keywords/aerial-photography","display_name":"Aerial photography","score":0.4908061921596527},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.4429038166999817},{"id":"https://openalex.org/keywords/aerial-imagery","display_name":"Aerial imagery","score":0.4350769519805908},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4295985698699951},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4006504416465759},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.36642634868621826},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12897402048110962},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.10076197981834412}],"concepts":[{"id":"https://openalex.org/C533803919","wikidata":"https://www.wikidata.org/wiki/Q30953","display_name":"Dengue fever","level":2,"score":0.7387301921844482},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6400709748268127},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5578345060348511},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5397613048553467},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5052135586738586},{"id":"https://openalex.org/C133214962","wikidata":"https://www.wikidata.org/wiki/Q191839","display_name":"Aerial photography","level":2,"score":0.4908061921596527},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.4429038166999817},{"id":"https://openalex.org/C2987819851","wikidata":"https://www.wikidata.org/wiki/Q191839","display_name":"Aerial imagery","level":2,"score":0.4350769519805908},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4295985698699951},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4006504416465759},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.36642634868621826},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12897402048110962},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.10076197981834412},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C203014093","wikidata":"https://www.wikidata.org/wiki/Q101929","display_name":"Immunology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2019.8851749","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8851749","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.75,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W73112891","https://openalex.org/W989848165","https://openalex.org/W2007027649","https://openalex.org/W2035430745","https://openalex.org/W2049627516","https://openalex.org/W2082160519","https://openalex.org/W2087991080","https://openalex.org/W2194775991","https://openalex.org/W2308318555","https://openalex.org/W2410926032","https://openalex.org/W2503660362","https://openalex.org/W2590817638","https://openalex.org/W2605208910","https://openalex.org/W2622568702","https://openalex.org/W2739484376","https://openalex.org/W2750023356","https://openalex.org/W2783207472","https://openalex.org/W2788524410","https://openalex.org/W2898020995","https://openalex.org/W2963446712","https://openalex.org/W6687483927","https://openalex.org/W6734604543","https://openalex.org/W6748123744"],"related_works":["https://openalex.org/W3205848368","https://openalex.org/W2975420069","https://openalex.org/W2976105433","https://openalex.org/W4251840164","https://openalex.org/W2909503674","https://openalex.org/W2975843525","https://openalex.org/W2917263458","https://openalex.org/W2975545820","https://openalex.org/W2976343450","https://openalex.org/W2910006359"],"abstract_inverted_index":{"The":[0,24],"identification":[1],"of":[2,9,16,26,51],"urban":[3,40,56],"locations":[4],"with":[5],"a":[6,13],"high":[7],"risk":[8],"diseases":[10],"infections":[11],"is":[12],"central":[14],"aspect":[15],"public":[17],"policies":[18],"aiming":[19],"at":[20],"controlling":[21],"these":[22],"diseases.":[23],"presence":[25],"diseases,":[27],"such":[28],"as":[29],"dengue":[30,52],"fever,":[31],"can":[32,79],"be":[33],"attributed":[34],"to":[35,48,68,91],"environmental":[36],"factors":[37],"in":[38,54],"the":[39],"scenario.":[41],"Previous":[42],"works":[43],"have":[44],"leveraged":[45],"street-level":[46,70,84],"imagery":[47],"provide":[49,80],"estimates":[50],"rates":[53],"an":[55],"setting.":[57],"In":[58],"this":[59],"paper,":[60],"we":[61],"apply":[62],"Dense":[63],"Deep":[64],"Convolutional":[65],"Neural":[66],"Networks":[67],"both":[69,89],"and":[71],"aerial":[72,77],"imagery,":[73],"providing":[74],"evidence":[75],"that":[76],"photography":[78],"better":[81],"results":[82],"than":[83],"images":[85],"alone,":[86],"while":[87],"combining":[88],"leads":[90],"further":[92],"improvements.":[93]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}