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环境对(双翅目:鳞蝇科)蚋的影响及其对阿根廷北部科连特斯市蚋媒疾病传播的意义。

Environmental effects on phlebotominae sand flies (Diptera:Phychodidae) and implications for sand fly vector disease transmission in Corrientes city, northern Argentina.

机构信息

Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2290, CP: C1425FQB, CABA, Argentina.

Instituto de Investigaciones Biológicas y Tecnológicas (IIBYT), Universidad Nacional de Córdoba, CONICET, Centro de Investigaciones Entomológicas de Córdoba (CIEC), FCEFyN, ​Av. Vélez Sarsfield 1611, CP: X5016GCA, Córdoba, Argentina.

出版信息

An Acad Bras Cienc. 2021 Oct 29;93(suppl 3):e20191278. doi: 10.1590/0001-3765202120191278. eCollection 2021.

DOI:10.1590/0001-3765202120191278
PMID:34730738
Abstract

We evaluated species richness, abundance, alpha diversity, and true diversity of Phlebotominae sand flies temporal changes in domiciles within the northern Argentina city of Corrientes. A total of 16 sampling nights were conducted seasonally throughout the years 2012-2014 through light traps supplemented with CO2. Meteorological and remote sensing environmental factors were used to assessed for vectors implications in disease transmission through Generalized Mixt Models. Lutzomyia longipalpis was the most abundant and common species, followed by Nyssomyia neivai and Migonemyia migonei. Lutzomyia longipalpis was more abundant in urban areas, Ny. neivai was associated with vegetation in periurban areas, both were found all sampling years with higher abundance during the rainy season. Positive association of Lu. longipalpis with precipitation and relative humidity and negative association with temperature were observed. Models showed humidity and vegetation as making effects on Lu. longipalpis abundance. Precipitation was significant for Mg. migonei models, with higher abundance in periurban and periurban-rural environments. For Ny. neivai models, relative humidity was the most important variable, followed by precipitation frequency. Our findings led to identify high risk areas and develop predictive models. These are useful for public health stakeholders giving tolls to optimized resources aim to prevent leshmaniasis transmission on the area.

摘要

我们评估了阿根廷北部科连特斯市住宅内 Phlebotominae 沙蝇的物种丰富度、丰度、α多样性和真实多样性的时间变化。在 2012 年至 2014 年期间,通过灯光诱捕器结合 CO2 进行了总共 16 个夜间季节性采样。气象和遥感环境因素被用于通过广义混合模型评估媒介在疾病传播中的作用。长刺革舌蝇是最丰富和最常见的物种,其次是 Neivai 沙蝇和 Migonemyia migonei。长刺革舌蝇在城市地区更为丰富,Neivai 沙蝇与城市周边地区的植被有关,这两种沙蝇在所有采样年份的雨季都有较高的丰度。观察到长刺革舌蝇与降水和相对湿度呈正相关,与温度呈负相关。模型显示湿度和植被对长刺革舌蝇丰度有影响。降水对 Migonemyia migonei 模型很重要,在城市周边和城乡环境中丰度较高。对于 Neivai 沙蝇模型,相对湿度是最重要的变量,其次是降水频率。我们的研究结果确定了高风险地区并开发了预测模型。这些模型对于公共卫生利益相关者很有用,可以优化资源,以防止该地区的利什曼病传播。

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