{"created":"2023-05-15T16:31:48.119399+00:00","id":3372,"links":{},"metadata":{"_buckets":{"deposit":"4a3c83a9-ffbe-4123-8d5b-d4fc46d78f92"},"_deposit":{"created_by":2,"id":"3372","owners":[2],"pid":{"revision_id":0,"type":"depid","value":"3372"},"status":"published"},"_oai":{"id":"oai:nagasaki-u.repo.nii.ac.jp:00003372","sets":["35:36"]},"author_link":["14489","14485","14490","14488","14484","14487","14486","14483","14491"],"item_2_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2016-04-25","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"4","bibliographicPageEnd":"944","bibliographicPageStart":"935","bibliographicVolumeNumber":"53","bibliographic_titles":[{"bibliographic_title":"Journal of Medical Entomology"}]}]},"item_2_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"Mosquito-based surveillance is a practical way to estimate the risk of transmission of West Nile virus (WNV) to people. Variations in temperature and precipitation play a role in driving mosquito infection rates and transmission of WNV, motivating efforts to predict infection rates based on prior weather conditions. Weather conditions\nand sequential patterns of meteorological events can have particularly important, but regionally distinctive, consequences for WNV transmission, with high temperatures and low precipitation often increasing WNV mosquito\ninfection. Predictive models that incorporate weather can thus be used to provide early indications of the risk of WNV infection. The purpose of this study was first, to assess the ability of a previously published model of WNV mosquito infection to predict infection for an area within the region for which it was developed, and second, to improve the predictive ability of this model by incorporating new weather factors that may affect mosquito development. The legacy model captured the primary trends in mosquito infection, but it was improved considerably when calibrated with local mosquito infection rates. The use of interaction terms between precipitation\nand temperature improved model performance. Specifically, temperature had a stronger influence than rainfall, so that lower than average temperature greatly reduced the effect of low rainfall on increased infection\nrates. When rainfall was lower, high temperature had an even stronger positive impact on infection rates. The final model is practical, stable, and operationally valid for predicting West Nile virus infection rates in future weeks when calibrated with local data.","subitem_description_type":"Abstract"}]},"item_2_description_63":{"attribute_name":"引用","attribute_value_mlt":[{"subitem_description":"Journal of Medical Entomology, 53(4), pp.935-944; 2016","subitem_description_type":"Other"}]},"item_2_publisher_33":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"Entomological Society of America"}]},"item_2_relation_12":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isVersionOf","subitem_relation_type_id":{"subitem_relation_type_id_text":"10.1093/jme/tjw042","subitem_relation_type_select":"DOI"}}]},"item_2_rights_13":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"c The Authors 2016. Published by Oxford University Press on behalf of Entomological Society of America."},{"subitem_rights":"This is a pre-copyedited, author-produced PDF of an article accepted for publication in Journal of Medical Entomology following peer review. The version of record Journal of Medical Entomology, Article in Press; 2016 is available online at: http://dx.doi.org/10.1093/jme/tjw042"}]},"item_2_source_id_7":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"00222585","subitem_source_identifier_type":"ISSN"}]},"item_2_source_id_8":{"attribute_name":"EISSN","attribute_value_mlt":[{"subitem_source_identifier":"19382928","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_ab4af688f83e57aa","subitem_version_type":"AM"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Shand, Lindsay"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Brown, William M."}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Chaves, Luis Fernando"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Goldberg, Tony L."}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hamer, Gabriel L."}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Haramis, Linn"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Kitron, Uriel"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Walker, Edward D."}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Ruiz, Marilyn O."}],"nameIdentifiers":[{}]}]},"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","filename":"JME_tjw042.pdf","filesize":[{"value":"2.3 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"JME_tjw042.pdf","url":"https://nagasaki-u.repo.nii.ac.jp/record/3372/files/JME_tjw042.pdf"},"version_id":"e49ffa33-da26-4f50-a5d4-d6936dd6960d"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"West Nile virus","subitem_subject_scheme":"Other"},{"subitem_subject":"climate and weather","subitem_subject_scheme":"Other"},{"subitem_subject":"risk model","subitem_subject_scheme":"Other"},{"subitem_subject":"Illinois","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":"Predicting West Nile Virus Infection Risk From the Synergistic Effects of Rainfall and Temperature","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Predicting West Nile Virus Infection Risk From the Synergistic Effects of Rainfall and Temperature"}]},"item_type_id":"2","owner":"2","path":["36"],"pubdate":{"attribute_name":"公開日","attribute_value":"2017-04-26"},"publish_date":"2017-04-26","publish_status":"0","recid":"3372","relation_version_is_last":true,"title":["Predicting West Nile Virus Infection Risk From the Synergistic Effects of Rainfall and Temperature"],"weko_creator_id":"2","weko_shared_id":-1},"updated":"2023-05-16T03:34:10.979576+00:00"}