{"_buckets": {"deposit": "0a4f3e7b-f768-4ab4-97a7-51ea8540b626"}, "_deposit": {"created_by": 2, "id": "5956", "owners": [2], "pid": {"revision_id": 0, "type": "depid", "value": "5956"}, "status": "published"}, "_oai": {"id": "oai:nagasaki-u.repo.nii.ac.jp:00005956", "sets": ["36"]}, "author_link": ["25928", "25926", "25929", "25927", "25930"], "item_2_biblio_info_6": {"attribute_name": "書誌情報", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2012-04-24", "bibliographicIssueDateType": "Issued"}, "bibliographicIssueNumber": "1", "bibliographicPageStart": "98", "bibliographicVolumeNumber": "12", "bibliographic_titles": [{"bibliographic_title": "BMC Infectious Diseases"}]}]}, "item_2_description_4": {"attribute_name": "抄録", "attribute_value_mlt": [{"subitem_description": "Background\nWhile floods can potentially increase the transmission of dengue, only few studies have reported the association of dengue epidemics with flooding. We estimated the effects of river levels and rainfall on the hospital admissions for dengue fever at 11 major hospitals in Dhaka, Bangladesh.\nMethods\nWe examined time-series of the number of hospital admissions of dengue fever in relation to river levels from 2005 to 2009 using generalized linear Poisson regression models adjusting for seasonal, between-year variation, public holidays and temperature.\nResults\nThere was strong evidence for an increase in dengue fever at high river levels. Hospitalisations increased by 6.9% (95% CI: 3.2, 10.7) for each 0.1 metre increase above a threshold (3.9 metres) for the average river level over lags of 0?5?weeks. Conversely, the number of hospitalisations increased by 29.6% (95% CI: 19.8, 40.2) for a 0.1 metre decrease below the same threshold of the average river level over lags of 0?19?weeks.\nConclusions\nOur findings provide evidence that factors associated with both high and low river levels increase the hospitalisations of dengue fever cases in Dhaka.", "subitem_description_type": "Abstract"}]}, "item_2_description_63": {"attribute_name": "引用", "attribute_value_mlt": [{"subitem_description": "BMC Infectious Diseases, 12(1), 98; 2012", "subitem_description_type": "Other"}]}, "item_2_publisher_33": {"attribute_name": "出版者", "attribute_value_mlt": [{"subitem_publisher": "BioMed Central Ltd"}]}, "item_2_relation_12": {"attribute_name": "DOI", "attribute_value_mlt": [{"subitem_relation_type": "isIdenticalTo", "subitem_relation_type_id": {"subitem_relation_type_id_text": "10.1186/1471-2334-12-98", "subitem_relation_type_select": "DOI"}}]}, "item_2_rights_13": {"attribute_name": "権利", "attribute_value_mlt": [{"subitem_rights": "c 2012 Hashizume et al.; licensee BioMed Central Ltd."}, {"subitem_rights": "This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited."}]}, "item_2_source_id_7": {"attribute_name": "ISSN", "attribute_value_mlt": [{"subitem_source_identifier": "14712334", "subitem_source_identifier_type": "ISSN"}]}, "item_2_version_type_16": {"attribute_name": "著者版フラグ", "attribute_value_mlt": [{"subitem_version_resource": "http://purl.org/coar/version/c_970fb48d4fbd8a85", "subitem_version_type": "VoR"}]}, "item_creator": {"attribute_name": "著者", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "Hashizume, Masahiro"}], "nameIdentifiers": [{"nameIdentifier": "25926", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Dewan, Ashraf M"}], "nameIdentifiers": [{"nameIdentifier": "25927", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Sunahara, Toshihiko"}], "nameIdentifiers": [{"nameIdentifier": "25928", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Rahman, M"}], "nameIdentifiers": [{"nameIdentifier": "25929", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Yamamoto, Taro"}], "nameIdentifiers": [{"nameIdentifier": "25930", "nameIdentifierScheme": "WEKO"}]}]}, "item_files": {"attribute_name": "ファイル情報", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_date", "date": [{"dateType": "Available", "dateValue": "2020-12-21"}], "displaytype": "detail", "download_preview_message": "", "file_order": 0, "filename": "BMCID14_54.pdf", "filesize": [{"value": "853.0 kB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 853000.0, "url": {"label": "BMCID14_54.pdf", "url": "https://nagasaki-u.repo.nii.ac.jp/record/5956/files/BMCID14_54.pdf"}, "version_id": "1c6ef128-c0d0-4ac8-a2f1-9d0e21f253ce"}]}, "item_keyword": {"attribute_name": "キーワード", "attribute_value_mlt": [{"subitem_subject": "Bangladesh", "subitem_subject_scheme": "Other"}, {"subitem_subject": "Climate", "subitem_subject_scheme": "Other"}, {"subitem_subject": "Dengue", "subitem_subject_scheme": "Other"}, {"subitem_subject": "River level", "subitem_subject_scheme": "Other"}, {"subitem_subject": "Time-series", "subitem_subject_scheme": "Other"}]}, "item_language": {"attribute_name": "言語", "attribute_value_mlt": [{"subitem_language": "eng"}]}, "item_resource_type": {"attribute_name": "資源タイプ", "attribute_value_mlt": [{"resourcetype": "journal article", "resourceuri": "http://purl.org/coar/resource_type/c_6501"}]}, "item_title": "Hydroclimatological variability and dengue transmission in Dhaka, Bangladesh: a time-series study", "item_titles": {"attribute_name": "タイトル", "attribute_value_mlt": [{"subitem_title": "Hydroclimatological variability and dengue transmission in Dhaka, Bangladesh: a time-series study"}]}, "item_type_id": "2", "owner": "2", "path": ["36"], "permalink_uri": "http://hdl.handle.net/10069/35051", "pubdate": {"attribute_name": "公開日", "attribute_value": "2015-01-26"}, "publish_date": "2015-01-26", "publish_status": "0", "recid": "5956", "relation": {}, "relation_version_is_last": true, "title": ["Hydroclimatological variability and dengue transmission in Dhaka, Bangladesh: a time-series study"], "weko_shared_id": -1}