气候变化领域集成服务门户(CCPortal): Ecological niche modeling analysis (Cx. pipiens), potential risk and projection of Dirofilaria spp. infection in Greece

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DOI	10.1016/j.vetpar.2024.110172
	Ecological niche modeling analysis (Cx. pipiens), potential risk and projection of Dirofilaria spp. infection in Greece
	Rodriguez-Escolar, Ivan; Hernandez-Lambrano, Ricardo E.; Sanchez-Agudo, Jose Angel; Collado-Cuadrado, Manuel; Sioutas, Georgios; Papadopoulos, Elias; Morchon, Rodrigo
发表日期	2024
ISSN	0304-4017
EISSN	1873-2550
起始页码	328
卷号	328
英文摘要	Vector-borne diseases continue to increase worldwide. Dirofilariosis is one of the most common vector-borne zoonotic diseases, mainly caused by Dirofilaria spp. (D. immitis and D. repens) and spread by culicid mosquitoes of different species. Greece is one of the countries in southern Europe where it is traditionally endemic, and its distribution is not homogeneous. The aim of this study was to develop an environmental model for Greece that reflects the suitability of the ecological niche for Dirofilaria spp. infection risk and its projection until 2080. For this purpose, we used the potential distribution of suitable habitats for Culex pipiens calculated using an ecological niche model (ENM) and the potential number of generations of Dirofilaria spp. The ecological niche model of Cx. pipiens in Greece showed good predictive power (AUC=0.897) with the parasite at a resolution of 1 km2. The variables that contributed most to the model were mean annual temperature, rivers and human footprint. The highest risk of infection was found in coastal areas and in riverside areas of the main river basins, as well as in irrigated areas of the mainland and peninsular regions and in the whole territory of island areas, and the lowest risk was found in areas of higher altitude. A positive relationship was found between the risk of dirofilariosis and the location of infected dogs, with 86.65% located in very high and high risk areas. In 2080, the percentage of territory gained by Cx. pipiens will increase by 261.52%. This model provides a high predictive value, predicted presence, and risk of Dirofilaria spp. infection and can serve as a tool for the management and control of this disease.
英文关键词	Dirofilaria spp.; Infection risk; Ecological niche modeling; Culex pipiens; Projection; Greece
语种	英语
WOS研究方向	Parasitology ; Veterinary Sciences
WOS类目	Parasitology ; Veterinary Sciences
WOS记录号	WOS:001224490200001
来源期刊	VETERINARY PARASITOLOGY
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/303224
作者单位	University of Salamanca; University of Salamanca; University of Salamanca; Aristotle University of Thessaloniki
推荐引用方式 GB/T 7714	Rodriguez-Escolar, Ivan,Hernandez-Lambrano, Ricardo E.,Sanchez-Agudo, Jose Angel,et al. Ecological niche modeling analysis (Cx. pipiens), potential risk and projection of Dirofilaria spp. infection in Greece[J],2024,328.
APA	Rodriguez-Escolar, Ivan.,Hernandez-Lambrano, Ricardo E..,Sanchez-Agudo, Jose Angel.,Collado-Cuadrado, Manuel.,Sioutas, Georgios.,...&Morchon, Rodrigo.(2024).Ecological niche modeling analysis (Cx. pipiens), potential risk and projection of Dirofilaria spp. infection in Greece.VETERINARY PARASITOLOGY,328.
MLA	Rodriguez-Escolar, Ivan,et al."Ecological niche modeling analysis (Cx. pipiens), potential risk and projection of Dirofilaria spp. infection in Greece".VETERINARY PARASITOLOGY 328(2024).