Knowledge Management System of Institute of Zoology, CAS
Forecasting Chikungunya Spread in the Americas via Data-Driven Empirical Approaches | |
Source Publication | Parasites & Vectors
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2016 | |
Volume | 9Issue:1Pages:Article No. 112 |
Luis E.Escobar; Qiao HJ(乔慧捷); A.Townsend Peterson | |
Document Type | 期刊论文 |
Identifier | http://ir.ioz.ac.cn/handle/000000/12315 |
Collection | 动物生态与保护生物学院重点实验室 |
Recommended Citation GB/T 7714 | Luis E.Escobar,Qiao HJ,A.Townsend Peterson. Forecasting Chikungunya Spread in the Americas via Data-Driven Empirical Approaches[J]. Parasites & Vectors,2016,9(1):Article No. 112. |
APA | Luis E.Escobar,乔慧捷,&A.Townsend Peterson.(2016).Forecasting Chikungunya Spread in the Americas via Data-Driven Empirical Approaches.Parasites & Vectors,9(1),Article No. 112. |
MLA | Luis E.Escobar,et al."Forecasting Chikungunya Spread in the Americas via Data-Driven Empirical Approaches".Parasites & Vectors 9.1(2016):Article No. 112. |
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File Name/Size | DocType | Version | Access | License | ||
Forecasting Chikungu(2486KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | View Download |
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