• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

库蚊在突尼斯的分布:通过随机森林和最大熵方法确定适宜区域。

Culex pipiens distribution in Tunisia: Identification of suitable areas through Random Forest and MaxEnt approaches.

机构信息

Université Tunis El Manar, Institut de la Recherche Vétérinaire de Tunisie, Tunis, Tunisie.

Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise 'G. Caporale', Teramo, Italy.

出版信息

Vet Med Sci. 2022 Nov;8(6):2703-2715. doi: 10.1002/vms3.897. Epub 2022 Aug 25.

DOI:10.1002/vms3.897
PMID:36005907
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9677390/
Abstract

BACKGROUND

Tunisia has experienced several West Nile virus (WNV) outbreaks since 1997. Yet, there is limited information on the spatial distribution of the main WNV mosquito vector Culex pipiens suitability at the national level.

OBJECTIVES

In the present study, our aim was to predict and evaluate the potential and current distribution of Cx. pipiens in Tunisia.

METHODS

To this end, two species distribution models were used, i.e. MaxEnt and Random Forest. Occurrence records for Cx. pipiens were obtained from adult and larvae sampled in Tunisia from 2014 to 2017. Climatic and human factors were used as predictors to model the Cx. pipiens geographical distribution. Mean decrease accuracy and mean decrease Gini indices were calculated to evaluate the importance of the impact of different environmental and human variables on the probability distribution of Cx. pipiens.

RESULTS

Suitable habitats were mainly distributed next to oases, in the north and eastern part of the country. The most important predictor was the population density in both models. The study found out that the governorates of Monastir, Nabeul, Manouba, Ariana, Bizerte, Gabes, Medenine and Kairouan are at highest epidemic risk.

CONCLUSIONS

The potential distribution of Cx. pipiens coincides geographically with the observed distribution of the disease in humans in Tunisia. Our study has the potential for driving control effort in the fight against West Nile vector in Tunisia.

摘要

背景

自 1997 年以来,突尼斯已经经历了几次西尼罗河病毒(WNV)爆发。然而,关于国家一级主要 WNV 蚊子媒介库蚊适宜性的空间分布的信息有限。

目的

本研究旨在预测和评估突尼斯库蚊的潜在和当前分布。

方法

为此,使用了两种物种分布模型,即最大熵和随机森林。从 2014 年至 2017 年在突尼斯采集的成虫和幼虫中获得了库蚊的发生记录。气候和人为因素被用作预测因子,以模拟库蚊的地理分布。计算平均减少准确性和平均减少基尼指数,以评估不同环境和人为变量对库蚊概率分布的影响的重要性。

结果

适宜栖息地主要分布在绿洲附近,分布在该国北部和东部。两个模型中最重要的预测因子都是人口密度。研究发现,莫纳斯提尔、纳布勒、马努巴、阿里亚纳、比塞大、加贝斯、梅德宁和凯鲁万省面临最高的流行风险。

结论

库蚊的潜在分布在地理上与突尼斯人类疾病的观察分布相吻合。我们的研究有可能在突尼斯控制西尼罗河媒介方面发挥作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07f7/9677390/a6b7b42f3361/VMS3-8-2703-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07f7/9677390/4cf23796ddc5/VMS3-8-2703-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07f7/9677390/6250d8e4ef8d/VMS3-8-2703-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07f7/9677390/7165c09e65fb/VMS3-8-2703-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07f7/9677390/f922d49cb5e9/VMS3-8-2703-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07f7/9677390/a6b7b42f3361/VMS3-8-2703-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07f7/9677390/4cf23796ddc5/VMS3-8-2703-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07f7/9677390/6250d8e4ef8d/VMS3-8-2703-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07f7/9677390/7165c09e65fb/VMS3-8-2703-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07f7/9677390/f922d49cb5e9/VMS3-8-2703-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07f7/9677390/a6b7b42f3361/VMS3-8-2703-g003.jpg

相似文献

1
Culex pipiens distribution in Tunisia: Identification of suitable areas through Random Forest and MaxEnt approaches.库蚊在突尼斯的分布:通过随机森林和最大熵方法确定适宜区域。
Vet Med Sci. 2022 Nov;8(6):2703-2715. doi: 10.1002/vms3.897. Epub 2022 Aug 25.
2
Ecophysiological characterization and molecular differentiation of Culex pipiens forms (Diptera: Culicidae) in Tunisia.突尼斯库蚊不同形态(双翅目:蚊科)的生态生理学特征及分子分化
Parasit Vectors. 2017 Jul 10;10(1):327. doi: 10.1186/s13071-017-2265-7.
3
Modeling the distribution of the West Nile and Rift Valley Fever vector Culex pipiens in arid and semi-arid regions of the Middle East and North Africa.模拟中东和北非干旱及半干旱地区西尼罗河病毒和裂谷热媒介库蚊的分布情况。
Parasit Vectors. 2014 Jun 24;7:289. doi: 10.1186/1756-3305-7-289.
4
The contribution of Culex pipiens complex mosquitoes to transmission and persistence of West Nile virus in North America.北美尖音库蚊复合组蚊子对西尼罗河病毒传播及持续存在的作用。
J Am Mosq Control Assoc. 2012 Dec;28(4 Suppl):137-51. doi: 10.2987/8756-971X-28.4s.137.
5
New evidence for the potential role of Culex pipiens mosquitoes in the transmission cycle of West Nile virus in Tunisia.库蚊在突尼斯西尼罗河病毒传播循环中潜在作用的新证据。
Med Vet Entomol. 2015 Jun;29(2):124-8. doi: 10.1111/mve.12107. Epub 2015 Jan 14.
6
Population genetic structure of the Culex pipiens (Diptera: Culicidae) complex, vectors of West Nile virus, in five habitats.五种生境中携带西尼罗河病毒的库蚊(双翅目:蚊科)复合体的种群遗传结构。
Parasit Vectors. 2018 Jan 4;11(1):10. doi: 10.1186/s13071-017-2594-6.
7
Ecological niche modeling of mosquito vectors of West Nile virus in St. John's County, Florida, USA.美国佛罗里达州圣约翰斯县西尼罗河病毒蚊媒的生态位建模
Parasit Vectors. 2016 Jun 29;9(1):371. doi: 10.1186/s13071-016-1646-7.
8
The role of different Culex mosquito species in the transmission of West Nile virus and avian malaria parasites in Mediterranean areas.不同库蚊种类在西尼罗河病毒和禽疟原虫在地中海地区传播中的作用。
Transbound Emerg Dis. 2021 Mar;68(2):920-930. doi: 10.1111/tbed.13760. Epub 2020 Aug 31.
9
Ecological Niche Modeling of West Nile Virus Vector in Northwest of Iran.伊朗西北部西尼罗河病毒媒介的生态位建模
Oman Med J. 2019 Nov;34(6):514-520. doi: 10.5001/omj.2019.94.
10
Vector competence of northern European Culex pipiens biotypes and hybrids for West Nile virus is differentially affected by temperature.北欧尖音库蚊生物型及杂交种对西尼罗河病毒的媒介能力受温度的影响存在差异。
Parasit Vectors. 2016 Jul 7;9(1):393. doi: 10.1186/s13071-016-1677-0.

引用本文的文献

1
Evaluation of Spatial Distribution of Pulse Blue Butterfly (), Pest of Legume Crops, in Response to Climate Change.豆科作物害虫脉蓝蝶对气候变化的空间分布评估。
Insects. 2025 Aug 8;16(8):826. doi: 10.3390/insects16080826.
2
MaxEnt modeling and risk evaluation of chagas disease vectors in the domestic cycle of Hidalgo, Mexico.墨西哥伊达尔戈州家庭传播周期中恰加斯病病媒的最大熵建模与风险评估
PLoS Negl Trop Dis. 2025 Jul 31;19(7):e0013199. doi: 10.1371/journal.pntd.0013199. eCollection 2025 Jul.
3
Editorial: One Health approaches and modeling in parasitology in the climate change framework and possible supporting tools adopting GIS and remote sensing.

本文引用的文献

1
What is the relationship between the coronavirus crisis and air pollution in Tunisia?突尼斯的冠状病毒危机与空气污染之间有什么关系?
EuroMediterr J Environ Integr. 2021;6(1):3. doi: 10.1007/s41207-020-00189-5. Epub 2020 Nov 4.
2
Spatio-Temporal Distribution of Aedes Albopictus and Culex Pipiens along an Urban-Natural Gradient in the Ventotene Island, Italy.意大利万托泰内岛城市-自然梯度上白纹伊蚊和淡色库蚊的时空分布。
Int J Environ Res Public Health. 2020 Nov 10;17(22):8300. doi: 10.3390/ijerph17228300.
3
Determinants of the current and future distribution of the West Nile virus mosquito vector Culex pipiens in Spain.
社论:气候变化框架下寄生虫学中的“同一健康”方法与建模以及采用地理信息系统(GIS)和遥感技术的可能支持工具
Front Parasitol. 2025 Mar 19;4:1560799. doi: 10.3389/fpara.2025.1560799. eCollection 2025.
4
The Role of Ruminants as Sentinel Animals in the Circulation of the West Nile Virus in Tunisia.反刍动物在突尼斯西尼罗河病毒传播中作为哨兵动物的作用
Pathogens. 2025 Mar 8;14(3):267. doi: 10.3390/pathogens14030267.
5
Spotting from satellite: modeling habitat suitability in central Italy using Sentinel-2 and deep learning techniques.卫星观测:利用哨兵2号和深度学习技术对意大利中部的栖息地适宜性进行建模
Front Vet Sci. 2024 Jul 4;11:1383320. doi: 10.3389/fvets.2024.1383320. eCollection 2024.
6
A nowcast model to predict outdoor flea activity in real time for the contiguous United States.一种实时预测美国本土户外跳蚤活动的实时预报模型。
Parasit Vectors. 2024 Jan 22;17(1):27. doi: 10.1186/s13071-023-06112-5.
7
Trends in mosquito species distribution modeling: insights for vector surveillance and disease control.蚊子物种分布建模趋势:对病媒监测和疾病控制的启示。
Parasit Vectors. 2023 Aug 28;16(1):302. doi: 10.1186/s13071-023-05912-z.
8
Predicting current and future high-risk areas for vectors and reservoirs of cutaneous leishmaniasis in Iran.预测伊朗皮肤利什曼病病媒和储存宿主的当前和未来高风险地区。
Sci Rep. 2023 Jul 17;13(1):11546. doi: 10.1038/s41598-023-38515-w.
9
Ecological Niche Modelling Approaches: Challenges and Applications in Vector-Borne Diseases.生态位建模方法:在媒介传播疾病中的挑战与应用
Trop Med Infect Dis. 2023 Mar 25;8(4):187. doi: 10.3390/tropicalmed8040187.
西尼罗河病毒蚊媒库蚊在西班牙的当前和未来分布的决定因素。
Environ Res. 2020 Sep;188:109837. doi: 10.1016/j.envres.2020.109837. Epub 2020 Jun 23.
4
West Nile Virus: An Update on Pathobiology, Epidemiology, Diagnostics, Control and "One Health" Implications.西尼罗河病毒:病理生物学、流行病学、诊断、防控及“同一健康”影响的最新进展
Pathogens. 2020 Jul 19;9(7):589. doi: 10.3390/pathogens9070589.
5
Inter-annual variability of the effects of intrinsic and extrinsic drivers affecting West Nile virus vector Culex pipiens population dynamics in northeastern Italy.影响意大利东北部西尼罗河病毒载体库蚊种群动态的内在和外在驱动因素的年际变化。
Parasit Vectors. 2020 May 29;13(1):271. doi: 10.1186/s13071-020-04143-w.
6
Evaluation of resistance to temephos insecticide in larvae collected from three districts of Tunisia.对从突尼斯三个地区采集的幼虫进行的杀螟硫磷杀虫剂抗性评估。
Afr Health Sci. 2019 Mar;19(1):1361-1367. doi: 10.4314/ahs.v19i1.8.
7
West Nile virus vaccines - current situation and future directions.西尼罗河病毒疫苗——现状与未来方向。
Hum Vaccin Immunother. 2019;15(10):2337-2342. doi: 10.1080/21645515.2019.1621149. Epub 2019 Jul 10.
8
Resistance status to deltamethrin pyrethroid of (Diptera: Culicidae) collected from three districts of Tunisia.从突尼斯三个地区采集的(双翅目:蚊科)对溴氰菊酯拟除虫菊酯的抗性状况。
Afr Health Sci. 2018 Dec;18(4):1182-1188. doi: 10.4314/ahs.v18i4.39.
9
Usutu virus induced mass mortalities of songbirds in Central Europe: Are habitat models suitable to predict dead birds in unsampled regions?乌苏图病毒在中欧导致鸣禽大量死亡:栖息地模型是否适合预测未采样地区的死鸟?
Prev Vet Med. 2018 Nov 1;159:162-170. doi: 10.1016/j.prevetmed.2018.09.013. Epub 2018 Sep 18.
10
Spatiotemporal modeling of ecological and sociological predictors of West Nile virus in Suffolk County, NY, mosquitoes.纽约萨福克县蚊子中寨卡病毒生态和社会学预测因子的时空建模
Ecosphere. 2017;8(6):e01854. doi: 10.1002/ecs2.1854.