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THE EMERGENCE AND SPREAD OF TICK-BORNE ENCEPHALITIS VIRUS IN SCANDINAVIA

机译:斯堪的纳维亚蜱传播脑炎病毒的出现与传播

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Tick-borne encephalitis virus (TBEV) is a high-impact pathogen with approximately 12,000 diagnoses annually in Eurasia. The virus causes a variety of clinical manifestations, with neurological symptoms in up to 30percent of the patients. Lethality in Europe is <2percent but post-encephalitis syndrome is seen in over 40percent of the infected patients and results in substantial impairment in quality of life. Over the last decade a drastic increase in TBEV incidence has been reported throughout Western Europe. TBEV is a member of the Flaviviridae virus family, which are primarily spread through arthropod vectors (mainly ticks and mosquitoes). At some point during their transmission cycle, nearly all vector-borne diseases are linked in some way to a vegetated environment. This makes them suitable objects to study with remotely sensed multi-spectral data. In fact, remote sensing is becoming an important tool in active disease surveillance. Evidence of disease is monitored in endemic areas, which could help prevent outbreaks or slow tranmission in the early stage of an epidemic. Applications of remote sensing in epidemiology involve retrieving environmental variables that characterize the vector ecosystem (land cover, temperature, humidity, water pressure, precipitation). In this study we report on a discriminant analysis of remotely sensed vegetation indices applied to TBEV positive sites and to TBEV negative sites. Results indicate that there is a difference between sites, indicating a relationship between ticks with TBEV and certain environmental characteristics.
机译:蜱型脑炎病毒(TBEV)是一个高抗冲病原体,每年在欧亚时每年约为12,000次诊断。病毒导致各种临床表现,具有神经症状,可在患者300左右。欧洲的致死性是<2%,但在感染的患者40岁以上,脑膜炎综合征被观察到,并导致生活质量损害。在过去的十年中,在西欧的TBEV发病率的激烈增加已经报告。 TBEV是黄羊皮病毒家族的成员,主要通过节肢动物载体(主要是蜱和蚊子)蔓延。在其传输周期的某些时候,几乎所有载体疾病都以某种方式与植被环境相关联。这使得它们具有与远程感测的多光谱数据学习的合适的对象。事实上,遥感正在成为积极疾病监测的重要工具。在流行区域监测疾病的证据,这有助于防止疫情早期爆发或缓慢的骚扰。流行病学遥感的应用涉及检索表征载体生态系统的环境变量(陆盖,温度,湿度,水压,降水)。在这项研究中,我们报告了对TBEV阳性位点和TBEV负位点的远程感测植被指数的判别分析。结果表明,位点之间存在差异,表明TBEV与某些环境特征之间的关系。

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