Spatiotemporal Heterogeneity in Human Schistosoma japonicum Infection at Village Level in Hubei Province, China
文献类型：期刊论文
| 作者 | Qiu, Juan2; Li, Rendong2; Xiao, Ying3; Xia, Jing3; Zhu, Hong3; Niu, Yingnan1,4; Huang, Duan2,4; Shao, Qihui2,4; Cui, Ying2,4; Wang, Yong1 |
| 刊名 | INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
 |
| 出版日期 | 2019-06-02 |
| 卷号 | 16期号:12页码:11 |
| ISSN号 | 1660-4601 |
| 关键词 | Schistosoma japonicum spatiotemporal heterogeneity microscale spatial analysis multilevel growth model |
| DOI | 10.3390/ijerph16122198 |
| 通讯作者 | Li, Rendong(lrd@asch.whigg.ac.cn) ; Wang, Yong(wangy@igsnrr.ac.cn) |
| 英文摘要 | The spatiotemporal dynamics of Schistosoma japonicum, combined with temporal heterogeneity among regions of different epidemic areal-types from a microscale viewpoint might capture the local change dynamics and thus aid in optimizing the combinations of precise schistosomiasis control measures. The prevalence data on schistosomiasis infection from 2007 to 2012 in the 30 most endemic counties of Hubei Province, Central China, were appended to the village-level administrative division polygon layer. Anselin local Moran's I, a retrospective space-time scan statistic and a multilevel-growth model analysis framework, was used to investigate the spatiotemporal pattern of schistosomiasis resident infection rate (RIR) at the village level and how natural geographical environment influence the schistosomiasis RIR over time. Two spatiotemporal high-risk clusters and continuous high-rate clusters were identified mainly in the embankment region across flooding areas of lakes connected with the Yangze and Hanjiang Rivers. Moreover, 12 other clusters and outlier evolution modes were detected to be scattered across the continuous high-rate clusters. Villages located in embankment region had the highest initial values and most rapidly reduced RIRs over time, followed by villages located in marshland-and-lake regions and finally by villages located in hilly region. Moreover, initial RIR values and rates of change did significantly vary (p < 0.001 and p < 0.001, respectively) irrespective of their epidemic areal-type. These local spatiotemporal heterogeneities could contribute to the formulation of distinct control strategies based on local transmission dynamics and be applied in other endemic areas of schistosomiasis. |
| WOS关键词 | ELIMINATION ; TRANSMISSION ; PATTERNS ; STRATEGY ; RISK |
| 资助项目 | CRSRI Open Research Program[SN: CKWV2017526/KY] ; National Nature Science Foundation of China[41571487] ; National Nature Science Foundation of China[81803297] |
| WOS研究方向 | Environmental Sciences & Ecology ; Public, Environmental & Occupational Health |
| 语种 | 英语 |
| 出版者 | MDPI |
| WOS记录号 | WOS:000473750500132 |
| 资助机构 | CRSRI Open Research Program ; National Nature Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/58565]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Li, Rendong; Wang, Yong |
| 作者单位 | 1.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Chinese Acad Sci, Key Lab Monitoring & Estimate Environm & Disaster, Inst Geodesy & Geophys, Wuhan 430077, Hubei, Peoples R China 3.Hubei Prov Acad Prevent Med, Hubei Ctr Dis Control & Prevent, Wuhan 430079, Hubei, Peoples R China 4.Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Qiu, Juan,Li, Rendong,Xiao, Ying,et al. Spatiotemporal Heterogeneity in Human Schistosoma japonicum Infection at Village Level in Hubei Province, China[J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH,2019,16(12):11. |
| APA | Qiu, Juan.,Li, Rendong.,Xiao, Ying.,Xia, Jing.,Zhu, Hong.,...&Wang, Yong.(2019).Spatiotemporal Heterogeneity in Human Schistosoma japonicum Infection at Village Level in Hubei Province, China.INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH,16(12),11. |
| MLA | Qiu, Juan,et al."Spatiotemporal Heterogeneity in Human Schistosoma japonicum Infection at Village Level in Hubei Province, China".INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 16.12(2019):11. |
入库方式： OAI收割
来源：地理科学与资源研究所
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