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首页> 外文期刊>Pathogens and global health >Predicted distribution of sand fly (Diptera: Psychodidae) species involved in the transmission of Leishmaniasis in Sao Paulo state, Brazil, utilizing maximum entropy ecological niche modeling
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Predicted distribution of sand fly (Diptera: Psychodidae) species involved in the transmission of Leishmaniasis in Sao Paulo state, Brazil, utilizing maximum entropy ecological niche modeling

机译:预测沙飞的分布(Diptera:Psychodididae)在巴西圣保罗州的Leishmaniaisis传播中,利用最大熵生态利基造型

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摘要

Leishmaniasis is a public health problem worldwide. We aimed to predict ecological niche models (ENMs) for visceral (VL) and cutaneous (CL) leishmaniasis and the sand flies involved in the transmission of leishmaniasis in Sao Paulo, Brazil. Phlebotomine sand flies were collected between 1985 and 2015. ENMs were created for each sand fly species using Maximum Entropy Species Distribution Modeling software, and 20 climatic variables were determined. Nyssomyia intermedia (Lutz & Neiva, 1912) and Lutzomyia longipalpis (Lutz & Neiva, 1912), the primary vectors involved in CL and VL, displayed the highest suitability across the various regions, climates, and topographies. L. longipalpis was found in the border of Parana an area currently free of VL. The variables with the greatest impact were temperature seasonality, precipitation, and altitude. Co-presence of multiple sand fly species was observed in the cuestas and coastal areas along the border of Parana and in the western basalt areas along the border of Mato Grosso do Sul. Human CL and VL were found in 475 of 546 (86.7%) and 106 of 645 (16.4%) of municipalities, respectively. Niche overlap between N. intermedia and L. longipalpis was found with 9208 human cases of CL and 2952 cases of VL. ENMs demonstrated that each phlebotomine sand fly species has a unique geographic distribution pattern, and the occurrence of the primary vectors of CL and VL overlapped. These data can be used by public authorities to monitor the dispersion and expansion of CL and VL vectors in Sao Paulo state.
机译:利什曼病是世界范围内的公共卫生问题。我们旨在预测巴西圣保罗内脏(VL)和皮肤(CL)利什曼病的生态位模型(ENMs)以及参与利什曼病传播的沙蝇。1985年至2015年间收集了白蛉。使用最大熵物种分布建模软件为每个沙蝇物种创建了ENM,并确定了20个气候变量。中间型NYSOMYIA(Lutz&Neiva,1912)和长须型Lutzomyia(Lutz&Neiva,1912)是CL和VL的主要媒介,在不同地区、气候和地形中表现出最高的适用性。在目前没有VL的巴拉那州边境地区发现了长帕尔皮斯。影响最大的变量是温度、季节性、降水和海拔。在沿巴拉那边境的库斯塔斯和沿海地区,以及沿南马托格罗索边境的西部玄武岩地区,观察到多种沙蝇物种共存。546个城市中的475个(86.7%)和645个城市中的106个(16.4%)分别发现了人类CL和VL。在9208例CL患者和2952例VL患者中,中间带绦虫和长须绦虫之间存在生态位重叠。ENMs表明,每种白蛉都有独特的地理分布模式,CL和VL的主要媒介发生重叠。公共当局可以使用这些数据来监测圣保罗州CL和VL载体的扩散和扩展。

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