Demand-driven spreading patterns of African swine fever in China
文献类型：期刊论文
| 作者 | Yang, Jiannan1; Tang, Kaichen1,2; Cao, Zhidong3 ; Pfeiffer, Dirk U.4; Zhao, Kang5; Zhang, Qingpeng1; Zeng, Daniel Dajun3
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| 刊名 | CHAOS
 |
| 出版日期 | 2021-06-01 |
| 卷号 | 31期号:6页码:7 |
| ISSN号 | 1054-1500 |
| DOI | 10.1063/5.0053601 |
| 通讯作者 | Zhang, Qingpeng(qingpeng.zhang@cityu.edu.hk) ; Zeng, Daniel Dajun(dajun.zeng@la.ac.cn) |
| 英文摘要 | African swine fever (ASF) is a highly contagious hemorrhagic viral disease of domestic and wild pigs. ASF has led to major economic losses and adverse impacts on livelihoods of stakeholders involved in the pork food system in many European and Asian countries. While the epidemiology of ASF virus (ASFV) is fairly well understood, there is neither any effective treatment nor vaccine. In this paper, we propose a novel method to model the spread of ASFV in China by integrating the data of pork import/export, transportation networks, and pork distribution centers. We first empirically analyze the overall spatiotemporal patterns of ASFV spread and conduct extensive experiments to evaluate the efficacy of a number of geographic distance measures. These empirical analyses of ASFV spread within China indicate that the first occurrence of ASFV has not been purely dependent on the geographical distance from existing infected regions. Instead, the pork supply-demand patterns have played an important role. Predictions based on a new distance measure achieve better performance in predicting ASFV spread among Chinese provinces and thus have the potential to enable the design of more effective control interventions. |
| WOS关键词 | NETWORK ; COVID-19 ; COMPLEX ; IMPACT |
| 资助项目 | National Natural Science Foundation of China[72042018] ; National Natural Science Foundation of China[71621002] ; National Natural Science Foundation of China[71972164] ; Collaborative Research Fund of the Research Grants Council of Hong Kong[C1143-20GF] |
| WOS研究方向 | Mathematics ; Physics |
| 语种 | 英语 |
| WOS记录号 | WOS:000660242800001 |
| 出版者 | AMER INST PHYSICS |
| 资助机构 | National Natural Science Foundation of China ; Collaborative Research Fund of the Research Grants Council of Hong Kong |
| 源URL | [http://ir.ia.ac.cn/handle/173211/45322]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_互联网大数据与安全信息学研究中心 |
| 通讯作者 | Zhang, Qingpeng; Zeng, Daniel Dajun |
| 作者单位 | 1.City Univ Hong Kong, Sch Data Sci, Hong Kong 999077, Peoples R China 2.Univ Texas Houston, Sch Biomed Informat, Hlth Ctr Houston, Houston, TX 77054 USA 3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 4.City Univ Hong Kong, Dept Infect Dis & Publ Hlth, Hong Kong 999077, Peoples R China 5.Univ Iowa, Tippie Coll Business, Iowa City, IA 52242 USA |
| 推荐引用方式 GB/T 7714 | Yang, Jiannan,Tang, Kaichen,Cao, Zhidong,et al. Demand-driven spreading patterns of African swine fever in China[J]. CHAOS,2021,31(6):7. |
| APA | Yang, Jiannan.,Tang, Kaichen.,Cao, Zhidong.,Pfeiffer, Dirk U..,Zhao, Kang.,...&Zeng, Daniel Dajun.(2021).Demand-driven spreading patterns of African swine fever in China.CHAOS,31(6),7. |
| MLA | Yang, Jiannan,et al."Demand-driven spreading patterns of African swine fever in China".CHAOS 31.6(2021):7. |
入库方式： OAI收割
来源：自动化研究所
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