文献
J-GLOBAL ID:201802252415860068
整理番号:18A1196354
合衆国内のイヌにおけるEhrlichia種に対する抗体保有率を予測するためのBayes時空モデル【JST・京大機械翻訳】
A Bayesian spatio-temporal model for forecasting the prevalence of antibodies to Ehrlichia species in domestic dogs within the contiguous United States
著者 (5件):
Liu Yan
(Department of Mathematical Sciences, Clemson University, Clemson, USA)
,
Lund Robert B.
(Department of Mathematical Sciences, Clemson University, Clemson, USA)
,
Nordone Shila K.
(Department of Molecular and Biomedical Sciences, Comparative Medicine Institute, North Carolina State University, Raleigh, USA)
,
Yabsley Michael J.
(Department of Population Health, Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine and the Warnell School of Forestry and Natural Resources, The University of Georgia, Athens, USA)
,
McMahan Christopher S.
(Department of Mathematical Sciences, Clemson University, Clemson, USA)
資料名:
Parasites & Vectors (Web)
(Parasites & Vectors (Web))
巻:
10
号:
1
ページ:
138
発行年:
2017年
JST資料番号:
U7341A
ISSN:
1756-3305
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)