Mapping the spatial distribution of Aedes aegypti and Aedes albopictus
文献类型：期刊论文
| 作者 | Ding, Fangyu1,2; Fu, Jingying1,2 ; Jiang, Dong1,2; Hao, Mengmeng1,2; Lin, Gang1
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| 刊名 | ACTA TROPICA
 |
| 出版日期 | 2018-02-01 |
| 卷号 | 178页码:155-162 |
| 关键词 | Global distribution Aedes aegypti Aedes albopictus Multidisciplinary datasets Machine learning models |
| ISSN号 | 0001-706X |
| DOI | 10.1016/j.actatropica.2017.11.020 |
| 通讯作者 | Jiang, Dong(jiangd@igsnrr.ac.cn) |
| 英文摘要 | Mosquito-borne infectious diseases, such as Rift Valley fever, Dengue, Chikungunya and Zika, have caused mass human death with the transnational expansion fueled by economic globalization. Simulating the distribution of the disease vectors is of great importance in formulating public health planning and disease control strategies. In the present study, we simulated the global distribution of Aedes aegypti and Aedes albopictus at a 5 x 5 km spatial resolution with high-dimensional multidisciplinary datasets and machine learning methods Three relatively popular and robust machine learning models, including support vector machine (SVM), gradient boosting machine (GBM) and random forest (RF), were used. During the fine-tuning process based on training datasets of A. aegypti and A. albopictus, RF models achieved the highest performance with an area under the curve (AUC) of 0.973 and 0.974, respectively, followed by GBM (AUC of 0.971 and 0.972, respectively) and SVM (AUC of 0.963 and 0.964, respectively) models. The simulation difference between RF and GBM models was not statistically significant (p > 0.05) based on the validation datasets, whereas statistically significant differences (p < 0.05) were observed for RF and GBM simulations compared with SVM simulations. From the simulated maps derived from RF models, we observed that the distribution of A. albopictus was wider than that of A. aegypti along a latitudinal gradient. The discriminatory power of each factor in simulating the global distribution of the two species was also analyzed. Our results provided fundamental information for further study on disease transmission simulation and risk assessment. |
| WOS关键词 | ZIKA VIRUS ; CHIKUNGUNYA VIRUS ; DIPTERA-CULICIDAE ; DENGUE ; SPREAD ; FEVER ; PATTERNS ; MOSQUITO ; CLIMATE ; VECTOR |
| 资助项目 | Ministry of Science and Technology of China[2016YFC1201300] |
| WOS研究方向 | Parasitology ; Tropical Medicine |
| 语种 | 英语 |
| WOS记录号 | WOS:000423644300025 |
| 出版者 | ELSEVIER SCIENCE BV |
| 资助机构 | Ministry of Science and Technology of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/56935]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Jiang, Dong |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Ding, Fangyu,Fu, Jingying,Jiang, Dong,et al. Mapping the spatial distribution of Aedes aegypti and Aedes albopictus[J]. ACTA TROPICA,2018,178:155-162. |
| APA | Ding, Fangyu,Fu, Jingying,Jiang, Dong,Hao, Mengmeng,&Lin, Gang.(2018).Mapping the spatial distribution of Aedes aegypti and Aedes albopictus.ACTA TROPICA,178,155-162. |
| MLA | Ding, Fangyu,et al."Mapping the spatial distribution of Aedes aegypti and Aedes albopictus".ACTA TROPICA 178(2018):155-162. |
入库方式： OAI收割
来源：地理科学与资源研究所
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