Spatial variation of population, density, and composition of mosquitoes in mainland China
文献类型：期刊论文
| 作者 | Wang, Zhenbo1; Jia, Xuechun2; Wang, Yinan1; Xu, Chengdong1 |
| 刊名 | SCIENTIFIC DATA
 |
| 出版日期 | 2025-01-07 |
| 卷号 | 12期号:1页码:20 |
| DOI | 10.1038/s41597-025-04386-1 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Mosquitoes pose a significant threat to global health, impacting over 40% of the world's population. Currently, a dearth of large-scale and long-term data on mosquito populations in China hinders related research and public health endeavors. In response, we meticulously compiled and analyzed existing studies to construct a comprehensive dataset illustrating the spatial variation of mosquito populations, density, and composition across mainland China. This dataset furnishes invaluable information to support further research on mosquitoes and mosquito-borne diseases on broader spatial and temporal scales. The primary aim of this research is to contribute to efforts aimed at controlling mosquito transmission and mosquito-borne diseases, ultimately enhancing human well-being. |
| URL标识 | 查看原文 |
| WOS研究方向 | Science & Technology - Other Topics |
| 语种 | 英语 |
| WOS记录号 | WOS:001393078400004 |
| 出版者 | NATURE PORTFOLIO |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/211336]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | Wang, Yinan; Xu, Chengdong |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; 2.Shanghai Inst Technol, Sch Ecol Technol & Engn, Shanghai 201418, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Zhenbo,Jia, Xuechun,Wang, Yinan,et al. Spatial variation of population, density, and composition of mosquitoes in mainland China[J]. SCIENTIFIC DATA,2025,12(1):20. |
| APA | Wang, Zhenbo,Jia, Xuechun,Wang, Yinan,&Xu, Chengdong.(2025).Spatial variation of population, density, and composition of mosquitoes in mainland China.SCIENTIFIC DATA,12(1),20. |
| MLA | Wang, Zhenbo,et al."Spatial variation of population, density, and composition of mosquitoes in mainland China".SCIENTIFIC DATA 12.1(2025):20. |
入库方式： OAI收割
来源：地理科学与资源研究所
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