dc.contributor | 統計系 | zh_TW |
dc.creator (作者) | Shih, Tai-Hwa | en_US |
dc.creator (作者) | 江振東 | zh_TW |
dc.creator (作者) | Chiang, Jeng-Tung | en_US |
dc.creator (作者) | Wu, Hung-Yi | en_US |
dc.creator (作者) | Tu, Wen-Jane | en_US |
dc.date (日期) | 2017-06 | |
dc.date.accessioned | 12-Jun-2018 15:24:40 (UTC+8) | - |
dc.date.available | 12-Jun-2018 15:24:40 (UTC+8) | - |
dc.date.issued (上傳時間) | 12-Jun-2018 15:24:40 (UTC+8) | - |
dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/117610 | - |
dc.description.abstract (摘要) | This study evaluated landscape characteristics associated with the incidence of ferret badger (Melogalemoschata) rabies in the East Epidemic Area, Taiwan, where the disease has been endemic from 2013 till date. Thisstudy included 268 cases of ferret badger rabies reported from 59 townships during 2013-2016. A multivariablelogistic regression analysis revealed that for townships with elevation between 0 and 200 m, or between 201 and 600m, the estimated probability of the incidence of ferret badger rabies for each township increases with the rise of forestarea. For townships with elevation higher than 600 m, the association is negative, a fact reflected by the interactioneffect between variables of forest and elevation fitted in the model. This model provided by the combination ofdifferent land use types, human population density and elevation measures of townships, may be used in estimatingthe incidence probability of prioritizing areas for ferret badger rabies control on oral vaccination. | en_US |
dc.format.extent | 584577 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.relation (關聯) | Journal of Probiotics & Health, Vol.5, No.2, pp.1-5 | zh_TW |
dc.subject (關鍵詞) | Taiwan; Ferret badger; Rabies; Epidemiology | en_US |
dc.title (題名) | The Landscape and Demographic Features Associated with Ferret Badger Rabies in Taiwan East Area | en_US |
dc.type (資料類型) | article | |
dc.identifier.doi (DOI) | 10.4172/2329-8901.1000178 | |
dc.doi.uri (DOI) | http://dx.doi.org/10.4172/2329-8901.1000178 | |