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绘制中国蚊虫及蚊媒病毒的分布图谱。

Mapping the Distributions of Mosquitoes and Mosquito-Borne Arboviruses in China.

机构信息

State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China.

College of Public Health and Health Professions and Emerging Pathogens Institute, University of Florida, Gainesville, FL 32611, USA.

出版信息

Viruses. 2022 Mar 27;14(4):691. doi: 10.3390/v14040691.

Abstract

The geographic expansion of mosquitos is associated with a rising frequency of outbreaks of mosquito-borne diseases (MBD) worldwide. We collected occurrence locations and times of mosquito species, mosquito-borne arboviruses, and MBDs in the mainland of China in 1954-2020. We mapped the spatial distributions of mosquitoes and arboviruses at the county level, and we used machine learning algorithms to assess contributions of ecoclimatic, socioenvironmental, and biological factors to the spatial distributions of 26 predominant mosquito species and two MBDs associated with high disease burden. Altogether, 339 mosquito species and 35 arboviruses were mapped at the county level. is found to harbor the highest variety of arboviruses (19 species), followed by (11) and (9). Temperature seasonality, annual precipitation, and mammalian richness were the three most important contributors to the spatial distributions of most of the 26 predominant mosquito species. The model-predicted suitable habitats are 60-664% larger in size than what have been observed, indicating the possibility of severe under-detection. The spatial distribution of major mosquito species in China is likely to be under-estimated by current field observations. More active surveillance is needed to investigate the mosquito species in specific areas where investigation is missing but model-predicted probability is high.

摘要

蚊子的地理扩张与全球蚊媒疾病(MBD)爆发频率的上升有关。我们收集了 1954 年至 2020 年中国大陆蚊子物种、蚊媒病毒和 MBD 的发生地点和时间。我们绘制了县级蚊子和虫媒病毒的空间分布,并使用机器学习算法评估了生态气候、社会环境和生物因素对 26 种主要蚊子物种和两种与高疾病负担相关的 MBD 的空间分布的贡献。共有 339 种蚊子和 35 种虫媒病毒在县级进行了绘制。结果发现, (19 种)拥有最多的虫媒病毒,其次是 (11 种)和 (9 种)。温度季节性、年降水量和哺乳动物丰富度是大多数 26 种主要蚊子物种空间分布的三个最重要的贡献因素。模型预测的适宜栖息地比实际观察到的栖息地大 60-664%,表明严重漏检的可能性。中国主要蚊子物种的空间分布可能被当前的实地观测低估了。需要更积极的监测来调查特定地区的蚊子物种,这些地区的调查存在缺失,但模型预测的概率很高。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3384/9031751/65df3bf79100/viruses-14-00691-g001.jpg

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