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利用卫星观测评估阿根廷亚热带城市埃及伊蚊和白纹伊蚊引发登革热的风险。

Satellite observation to assess dengue risk due to Aedes aegypti and Aedes albopictus in a subtropical city of Argentina.

机构信息

Instituto de Investigaciones Biológicas y Tecnológicas (IIByT), Universidad Nacional de Córdoba, CONICET, Centro de Investigaciones Entomológicas de Córdoba (CIEC), FCEFyN, Córdoba, Argentina.

Consejo Nacional de Investigaciones Científicas y Técnicas, Argentina (CONICET), Argentina.

出版信息

Med Vet Entomol. 2023 Mar;37(1):27-36. doi: 10.1111/mve.12604. Epub 2022 Sep 7.

DOI:10.1111/mve.12604
PMID:36070184
Abstract

Earth observation environmental features measured through remote sensing and models of vector mosquitoes species Aedes aegypti and Ae. albopictus provide an advancement with regards to dengue risk in urban environments of subtropical areas of Argentina. The authors aim to estimate the effect of landscape coverage and spectral indices (Normalized Difference Vegetation Index [NDVI], Normalized Difference Water Index [NDWI] and Normalized Difference Built-up Index [NDBI]) on the larvae abundance of Ae. aegypti and Ae. albopictus in Eldorado, Misiones, Argentina using remote satellite sensors. Larvae of these species were collected monthly (June 2016 to April 2018), in four environments: tire repair shops, cemeteries, dwellings and an urban natural park. The proportion of landscape coverage (water, urban areas, bare soil, low vegetation and high vegetation) was determined from the supervised classification of Sentinel-2 images and spectral indices, calculated. The authors developed spatial models of both vector species by generalized linear mixed models. The model's results showed that Ae. aegypti larvae abundance was better modelled by NDVI minimum values, NDBI maximum values and the interaction between them. For Ae. albopictus proportion of bare soil, low vegetation and the interaction between both variables explained better the abundance.

摘要

通过遥感和蚊虫物种埃及伊蚊和白纹伊蚊模型测量的地球观测环境特征,为阿根廷亚热带地区城市环境中的登革热风险提供了进展。作者旨在利用远程卫星传感器估算景观覆盖和光谱指数(归一化差异植被指数 [NDVI]、归一化差异水体指数 [NDWI] 和归一化差异建筑指数 [NDBI])对阿根廷埃尔多拉多的埃及伊蚊和白纹伊蚊幼虫丰度的影响。这些物种的幼虫每月采集一次(2016 年 6 月至 2018 年 4 月),在四个环境中:轮胎修理店、墓地、住宅和城市自然公园。从 Sentinel-2 图像的监督分类和计算的光谱指数中确定景观覆盖(水、城市地区、裸土、低植被和高植被)的比例。作者通过广义线性混合模型开发了两种媒介物种的空间模型。模型结果表明,NDVI 最小值、NDBI 最大值及其相互作用能更好地模拟埃及伊蚊幼虫的丰度。对于白纹伊蚊,裸土、低植被的比例以及两者之间的相互作用更好地解释了丰度。

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