{"updated":"2025-01-19T17:15:24.048645+00:00","links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00213160","sets":["1164:5352:10544:10714"]},"path":["10714"],"owner":"44499","recid":"213160","title":["集団遺伝学を用いた変異ウイルスの流行予測"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-09-23"},"_buckets":{"deposit":"cd22682d-e20a-4289-ab99-4e02e767f622"},"_deposit":{"id":"213160","pid":{"type":"depid","value":"213160","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"集団遺伝学を用いた変異ウイルスの流行予測","author_link":["544893"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"集団遺伝学を用いた変異ウイルスの流行予測"}]},"item_type_id":"4","publish_date":"2021-09-23","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"北海道大学"}]},"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/213160/files/IPSJ-BIO21067009.pdf","label":"IPSJ-BIO21067009.pdf"},"date":[{"dateType":"Available","dateValue":"2023-09-23"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-BIO21067009.pdf","filesize":[{"value":"742.1 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"5"},{"tax":["include_tax"],"price":"0","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"41"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"b6812fa6-9010-4dc0-988c-97588edbf659","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2021 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"伊藤, 公人"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA12055912","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":"2188-8590","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"演者の研究グループでは，ウイルスの塩基配列から集団遺伝学を用いて変異ウイルスの選択優位性を推定し，変異株の割合の時間変化を予測する研究を行っている．本講演では，新型コロナウイルスのデルタ株について 2021 年 6 月に行った予測とその精度について報告する．ウイルス感染症において，変異株の従来株に対する選択優位性は，変異株の従来株に対する相対的な実効再生産数と考えることができる．2021 年 6 月 21 日までに日本国内で確認された変異株の数から，R.1 株，アルファ株，デルタ株の実効再生産数は，従来株のそれよりそれぞれ 1.25, 1.44，および 1.95 倍高いことが推定された．この相対的な実効再生産数は，仮定する発症間隔によって，R.1 株で 1.20–1.32 倍，アルファ株で 1.34–1.58 倍，デルタ株で 1.70–2.30 倍の範囲をとる．デルタ株による感染者数は，東京オリンピックが開幕する 2021 年 7 月 23 日より前にアルファ株の感染者数を上回ることが予想された．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"1","bibliographic_titles":[{"bibliographic_title":"研究報告バイオ情報学（BIO）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2021-09-23","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"9","bibliographicVolumeNumber":"2021-BIO-67"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":213160,"created":"2025-01-19T01:14:04.218011+00:00"}