{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00206119","sets":["1164:3782:10129:10270"]},"path":["10270"],"owner":"44499","recid":"206119","title":["日本における自治体報道発表のCOVID-19発生状況を用いた感染者遷移状況の記録と可視化"],"pubdate":{"attribute_name":"公開日","attribute_value":"2020-07-03"},"_buckets":{"deposit":"bc5713d6-bc71-46ee-8c0d-6aa3db3acdaa"},"_deposit":{"id":"206119","pid":{"type":"depid","value":"206119","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"日本における自治体報道発表のCOVID-19発生状況を用いた感染者遷移状況の記録と可視化","author_link":["511801","511804","511802","511803"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"日本における自治体報道発表のCOVID-19発生状況を用いた感染者遷移状況の記録と可視化"},{"subitem_title":"Recording and Visualization of Status Transition of Infection using COVID-19 Patients’ Data Published by Local Governments in Japan","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2020-07-03","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"筑波技術大学産業技術学部産業情報学科"},{"subitem_text_value":"現在，筑波大学システム情報系"},{"subitem_text_value":"現在，筑波大学システム情報系"},{"subitem_text_value":"現在，筑波大学計算科学研究センター"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Presently with Faculty of Engineering, Information and Systems","subitem_text_language":"en"},{"subitem_text_value":"Presently with Faculty of Engineering, Information and Systems","subitem_text_language":"en"},{"subitem_text_value":"Presently with Center for Computational Sciences, University of Tsukuba","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/206119/files/IPSJ-DC20117004.pdf","label":"IPSJ-DC20117004.pdf"},"date":[{"dateType":"Available","dateValue":"2022-07-03"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-DC20117004.pdf","filesize":[{"value":"5.1 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"32"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"ead43e5a-6332-436e-b8a2-da410112a251","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2020 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"渡辺, 知恵美"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"佐野, 幸恵"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"岡田, 幸彦"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"天笠, 俊之"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10539261","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8892","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"本論文では，2020 年に世界的パンデミックが発生した COVID-19 に関して，日本の自治体が公表する地域感染データからクラスタ遷移分析を行うためのデータ構造を提案するとともに，それによるクラスタ遷移の可視化および分析の結果を報告する．COVID-19 は罹患者の唾液等の飛沫や接触によって感染が広がる．発生状況を追跡し広がりを最小限に抑えるため，日本の各自治体では罹患者の濃厚接触関係を逐次公表している．しかしながら，自治体を跨いだ感染経路やクラスタ発生時の感染等，個人-個人レベルでの経路を記録するのは困難である．そこで我々は，クラスタ-クラスタ及びクラスタ-個人の経路に着目した感染経路追跡の手法を提案する．さらに自治体発表の実データを用いた COVID-19 クラスタ遷移の可視化と分析結果を報告する．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"7","bibliographic_titles":[{"bibliographic_title":"研究報告ドキュメントコミュニケーション（DC）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2020-07-03","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"4","bibliographicVolumeNumber":"2020-DC-117"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:08:12.890702+00:00","updated":"2025-01-19T19:31:47.659583+00:00","id":206119}