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利用地理信息系统和决策支持系统进行预测、预防和控制媒介传播疾病。

Using geographic information systems and decision support systems for the prediction, prevention, and control of vector-borne diseases.

机构信息

Department of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, Colorado 80523, USA.

出版信息

Annu Rev Entomol. 2011;56:41-61. doi: 10.1146/annurev-ento-120709-144847.

Abstract

Emerging and resurging vector-borne diseases cause significant morbidity and mortality, especially in the developing world. We focus on how advances in mapping, Geographic Information System, and Decision Support System technologies, and progress in spatial and space-time modeling, can be harnessed to prevent and control these diseases. Major themes, which are addressed using examples from tick-borne Lyme borreliosis; flea-borne plague; and mosquito-borne dengue, malaria, and West Nile virus disease, include (a) selection of spatial and space-time modeling techniques, (b) importance of using high-quality and biologically or epidemiologically relevant data, (c) incorporation of new technologies into operational vector and disease control programs, (d) transfer of map-based information to stakeholders, and (e) adaptation of technology solutions for use in resource-poor environments. We see great potential for the use of new technologies and approaches to more effectively target limited surveillance, prevention, and control resources and to reduce vector-borne and other infectious diseases.

摘要

新发和再现的虫媒传染病导致了大量的发病率和死亡率,特别是在发展中国家。我们专注于如何利用测绘、地理信息系统和决策支持系统技术的进步,以及空间和时空建模方面的进展,来预防和控制这些疾病。我们将使用蜱传莱姆病、蚤传鼠疫和蚊媒登革热、疟疾和西尼罗河病毒病的例子来讨论主要主题,包括:(a)选择空间和时空建模技术;(b)使用高质量和具有生物学或流行病学相关性的数据的重要性;(c)将新技术纳入运营性的病媒和疾病控制计划;(d)将基于地图的信息传递给利益相关者;(e)为资源匮乏的环境调整技术解决方案。我们看到了新技术和方法的巨大应用潜力,可以更有效地针对有限的监测、预防和控制资源,并减少虫媒传染病和其他传染病。

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