Fine-Scale Risk Mapping for Dengue Vector Using Spatial Downscaling in Intra-Urban Areas of Guangzhou, China
文献类型：期刊论文
| 作者 | Shen, Yunpeng3,4; Ren, Zhoupeng2,3; Fan, Junfu4; Xiao, Jianpeng1,7; Zhang, Yingtao7; Liu, Xiaobo5,6 |
| 刊名 | INSECTS
 |
| 出版日期 | 2025-06-25 |
| 卷号 | 16期号:7页码:661 |
| 关键词 | vector surveillance and control mosquito risk maps spatial downscaling data resampling |
| DOI | 10.3390/insects16070661 |
| 产权排序 | 2 |
| 文献子类 | Article |
| 英文摘要 | Generating fine-scale risk maps for mosquito-borne diseases vectors is an essential tool for guiding spatially targeted vector control interventions in urban settings, given the limited public health resources. This study aimed to generate fine-scale risk maps for dengue vectors using routine vector surveillance data collected at the township scale. We integrated monthly township-specific Breteau Index (BI) data from Guangzhou city (2019 to 2020) with covariates extracted from remote sensing imagery and other geospatial datasets to develop an original random forest (RF) model for predicting hotspot areas (BI >= 5). We implemented three data resampling techniques (undersampling, oversampling, and hybrid sampling) to improve the model's performance and evaluate it using the ROC-AUC, Recall, Specificity, and G-means metrics. Finally, we generated a downscaled risk maps for BI hotspot areas at a 1000 m grid scale by applying the optimal model to fine-scale input data. Our findings indicate the following: (1) data resampling techniques significantly improved the prediction accuracy of the original RF model, demonstrating robust spatial downscaling capabilities for fine-scale grids; (2) the spatial distribution of BI hotspot areas within townships exhibits significant heterogeneity. The fine-scale risk mapping approach overcomes the limitations of previous coarse-scale risk maps and provides critical evidence for policymakers to better understand the distribution of BI hotspot areas, facilitating pixel-level spatially targeted vector control interventions in intra-urban areas. |
| URL标识 | 查看原文 |
| WOS关键词 | MOSQUITO ; AEGYPTI ; INDEX |
| WOS研究方向 | Entomology |
| 语种 | 英语 |
| WOS记录号 | WOS:001535357600001 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/215632]  |
| 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 | Ren, Zhoupeng; Fan, Junfu |
| 作者单位 | 1.Guangdong Prov Inst Publ Hlth, Guangzhou 511430, Peoples R China; 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China; 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China; 4.Shandong Univ Technol, Sch Civil Engn & Geomat, Zibo 255000, Peoples R China; 5.Chinese Ctr Dis Control & Prevent, Natl Inst Communicable Dis Control & Prevent, Natl Key Lab Intelligent Tracking & Forecasting In, Beijing 102206, Peoples R China; 6.Shandong Univ, Cheeloo Coll Med, Sch Publ Hlth, Dept Vector Control, Jinan 250012, Peoples R China 7.Guangdong Prov Ctr Dis Control & Prevent, Guangzhou 511430, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Shen, Yunpeng,Ren, Zhoupeng,Fan, Junfu,et al. Fine-Scale Risk Mapping for Dengue Vector Using Spatial Downscaling in Intra-Urban Areas of Guangzhou, China[J]. INSECTS,2025,16(7):661. |
| APA | Shen, Yunpeng,Ren, Zhoupeng,Fan, Junfu,Xiao, Jianpeng,Zhang, Yingtao,&Liu, Xiaobo.(2025).Fine-Scale Risk Mapping for Dengue Vector Using Spatial Downscaling in Intra-Urban Areas of Guangzhou, China.INSECTS,16(7),661. |
| MLA | Shen, Yunpeng,et al."Fine-Scale Risk Mapping for Dengue Vector Using Spatial Downscaling in Intra-Urban Areas of Guangzhou, China".INSECTS 16.7(2025):661. |
入库方式： OAI收割
来源：地理科学与资源研究所
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