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利用最大熵生态位模型预测巴西圣保罗州参与利什曼病传播的沙蝇(双翅目:鳞翅目)物种的分布情况。

Predicted distribution of sand fly (Diptera: Psychodidae) species involved in the transmission of Leishmaniasis in São Paulo state, Brazil, utilizing maximum entropy ecological niche modeling.

机构信息

Department of Pathobiological Sciences, School of Veterinary Medicine, Baton Rouge, LA, USA.

Geography Department, Faculty of Science and Technology, Paulista State University Julio De Mesquita Filho, Presidente Prudente, SP, Brazil.

出版信息

Pathog Glob Health. 2021 Mar;115(2):108-120. doi: 10.1080/20477724.2020.1870031. Epub 2021 Jan 11.

DOI:10.1080/20477724.2020.1870031
PMID:33427124
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8550198/
Abstract

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 São 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. (Lutz & Neiva, 1912) and (Lutz & Neiva, 1912), the primary vectors involved in CL and VL, displayed the highest suitability across the various regions, climates, and topographies. was found in the border of Paraná 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 Paraná 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 and 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 São Paulo state.

摘要

利什曼病是一个全球性的公共卫生问题。本研究旨在预测巴西圣保罗内脏利什曼病(VL)和皮肤利什曼病(CL)以及参与利什曼病传播的沙蝇的生态位模型(ENM)。1985 年至 2015 年期间收集了采采蝇。使用最大熵物种分布建模软件为每种沙蝇物种创建 ENM,并确定了 20 个气候变量。(Lutz & Neiva,1912)和(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宜性。在目前 VL 无疫区的巴拉那边境发现了。对变量的影响最大的是温度季节性、降水和海拔。在巴拉那边境的峭壁和沿海地区以及南马托格罗索州边境的玄武岩西部地区观察到多种沙蝇物种的共存。在 546 个市中的 475 个(86.7%)和 645 个市中的 106 个(16.4%)发现了人类 CL 和 VL。CL 和 VL 之间的生态位重叠,发现了 9208 例人类 CL 和 2952 例 VL。ENM 表明,每种采采蝇沙蝇物种都有独特的地理分布模式,CL 和 VL 的主要媒介的发生重叠。这些数据可由公共当局用于监测圣保罗州 CL 和 VL 媒介的扩散和扩展。

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