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一个预测黄热病和马亚罗病毒载体 Haemagogus janthinomys,Dyar,1921 在南美洲地理分布的生态位模型。

An ecological niche model to predict the geographic distribution of Haemagogus janthinomys, Dyar, 1921 a yellow fever and Mayaro virus vector, in South America.

机构信息

Uniformed Services University of Health Sciences, Bethesda, Maryland, United States of America.

Department of Entomology, Walter Reed Army Institute of Research, Silver Spring, Maryland, United States of America.

出版信息

PLoS Negl Trop Dis. 2022 Jul 8;16(7):e0010564. doi: 10.1371/journal.pntd.0010564. eCollection 2022 Jul.

DOI:10.1371/journal.pntd.0010564
PMID:35802748
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9299311/
Abstract

Yellow fever virus (YFV) has a long history of impacting human health in South America. Mayaro virus (MAYV) is an emerging arbovirus of public health concern in the Neotropics and its full impact is yet unknown. Both YFV and MAYV are primarily maintained via a sylvatic transmission cycle but can be opportunistically transmitted to humans by the bites of infected forest dwelling Haemagogus janthinomys Dyar, 1921. To better understand the potential risk of YFV and MAYV transmission to humans, a more detailed understanding of this vector species' distribution is critical. This study compiled a comprehensive database of 177 unique Hg. janthinomys collection sites retrieved from the published literature, digitized museum specimens and publicly accessible mosquito surveillance data. Covariate analysis was performed to optimize a selection of environmental (topographic and bioclimatic) variables associated with predicting habitat suitability, and species distributions modelled across South America using a maximum entropy (MaxEnt) approach. Our results indicate that suitable habitat for Hg. janthinomys can be found across forested regions of South America including the Atlantic forests and interior Amazon.

摘要

黄热病毒(YFV)在南美洲对人类健康有着悠久的影响历史。委内瑞拉马脑炎病毒(MAYV)是一种新出现的热带病媒介病毒,对公共卫生构成了关注,但其全部影响尚不清楚。YFV 和 MAYV 主要通过森林传播循环维持,但受感染的森林栖息的 Haemagogus janthinomys Dyar,1921 可以通过叮咬机会传播给人类。为了更好地了解 YFV 和 MAYV 传播给人类的潜在风险,更详细地了解这种媒介物种的分布至关重要。本研究从已发表的文献、数字化博物馆标本和公开的蚊虫监测数据中,编译了一个包含 177 个独特 Hg. janthinomys 采集点的综合数据库。进行了协变量分析,以优化与预测栖息地适宜性相关的一组环境(地形和生物气候)变量的选择,并使用最大熵(MaxEnt)方法对南美洲各地的物种分布进行建模。我们的研究结果表明,Hg. janthinomys 的适宜栖息地可以在包括大西洋森林和亚马逊内陆的南美洲森林地区找到。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8331/9299311/1f56c6b38db0/pntd.0010564.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8331/9299311/3f952dc8001e/pntd.0010564.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8331/9299311/5f41ef667fcb/pntd.0010564.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8331/9299311/7c54b27b4a25/pntd.0010564.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8331/9299311/1f56c6b38db0/pntd.0010564.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8331/9299311/3f952dc8001e/pntd.0010564.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8331/9299311/5f41ef667fcb/pntd.0010564.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8331/9299311/7c54b27b4a25/pntd.0010564.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8331/9299311/1f56c6b38db0/pntd.0010564.g004.jpg

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