Spatial Statistics for Disease Ecology

描述(由申请人提供)：我们提出了一个为期四年的跨学科研究计划，发展疾病生态学的统计方法，研究环境和生态对疾病发病率和传播的影响。许多传染病涉及多个宿主和媒介，每个宿主和媒介都有独特的行为，并且每个宿主和媒介都受到气候和地形的影响。拟议的研究涉及生态学、保护生物学、环境健康、遥感、流行病学和全球健康等领域。地理空间将这些不同的研究领域联系在一起，我们利用空间统计学来实现我们的三个具体目标：1)对新出现的疾病的局部系统地理进行时空推断。我们提出了量化在美国东部持续爆发的浣熊狂犬病中对病毒遗传结构的景观影响的方法，作为方法开发、应用和评估的动机和应用。感兴趣的关联涉及地理和遗传瓶颈，以及干预计划在阻止疾病传播方面的影响。2)将疾病发病率和来自不完美测量系统的环境/生态数据联系起来的空间推断。我们建议开发将空间疾病监测数据与环境景观、病媒和水库宿主联系起来的模型。我们专注于受空间不同质量水平影响的监测数据，例如，诊断和报告的空间不同概率。我们使用正在进行的关于西非加纳布鲁里溃疡的现场数据来激励和说明所提出的方法。3)评估已开发技术的空间设计和性能标准。要使拟议的技术产生广泛影响，必须在应用这些技术的背景下衡量它们的表现。我们主要关注空间标准：例如，在哪里需要收集更多的信息，在哪里方法降低检测到的概率或增加错误警报率。该项目的结果将使研究人员能够衡量景观特征对新出现疾病传播的影响，从而更准确地预测传播，规划适当的应对措施，并改进干预策略的设计。在这项研究中收集的公共卫生数据将被用来设计模型、分析技术和软件，以帮助卫生部、非政府组织和研究人员确定重点监测的领域，确定卫生治疗设施的位置/增强，增加实验室能力，提供教育推广活动，并组织对医护人员、推广协调员和实验室人员的培训。疾病生态学空间统计 项目叙事 拟议的研究项目将开发分析方法，通过复杂的地貌绘制和量化传染病在时间和空间上的传播。该项目专注于两种疾病：一种狂犬病通常在美国东部的浣熊身上发现(但可传播给人类)，另一种是西非加纳的布鲁里溃疡(一种导致皮肤深度伤口的细菌感染)。这项研究的主要目标是对环境因素(如河流和山脉)对疾病在不同景观中传播的影响进行准确测量，以便设计有效的、针对不同地理位置的公共卫生应对措施。

DESCRIPTION (provided by applicant): We propose a four-year interdisciplinary research program developing statistical methodology for disease ecology, the study of environmental and ecological impacts on disease incidence and spread. Many infectious diseases involve multiple hosts and vectors, each with unique behaviors, and each impacted by climate and landscape. The proposed research draws from the fields of ecology, conservation biology, environmental health, remote sensing, epidemiology, and global health. Geographic space links these disparate fields of inquiry and we use utilize spatial statistics to achieve our three specific aims: 1) Spatio-temporal inference for the local phylogeography of emerging diseases. We propose methods quantifying landscape impacts on the genetic structure of a virus in the ongoing disease outbreak of raccoon rabies in the eastern United States as motivation and application for methodological development, application and evaluation. Associations of interest involve geographic and genetic bottlenecks, and the impact of intervention programs in stalling disease spread. 2) Spatial inference linking disease incidence and environmental/ecological data from imperfectly measured systems. We propose to develop models linking spatial disease surveillance data to environmental landscapes, vectors, and reservoir hosts. We focus on surveillance data subject to spatially varying levels of quality, e.g., spatially varying probabilities of diagnosis and reporting. We use ongoing field data regarding Buruli ulcer in Ghana, West Africa to motivate and illustrate the proposed methodology. 3) Assess spatial design and performance criteria for the developed techniques. For the proposed techniques to have broad impact, it is essential to measure their performance in the context within which they will be applied. We focus primarily on spatial criteria: e.g., where one needs to collect more information and where methods reduce probability of detection or increase rates of false alarms. The results of this program will allow researchers to measure the impact of landscape features on the spread of an emerging disease allowing more accurate predictions of spread, planning of appropriate responses, and improved design of intervention strategies. The public health data gathered during this study will be used to design models, analytic techniques, and software that will assist ministries of health, non- government organizations, and researchers identify areas in which to focus surveillance, determine placement/enhancement of health treatment facilities, increase laboratory capacity, provide educational outreach activities, and organize trainings for healthcare workers, outreach coordinators, and laboratory personnel.SPATIAL STATISTICS FOR DISEASE ECOLOGY PROJECT NARRATIVE The proposed research project will develop analytic methods for mapping and quantifying the spread of infectious diseases in time and space through a complicated landscape. The project focuses on two diseases: a strain of rabies that is typically found in raccoons (but transmittable to humans) in the eastern United States and Buruli ulcer (a bacterial infection resulting in deep skin wounds) in Ghana, West Africa. The primary goal of the research is to develop accurate measurements of the impact of environmental factors (such as rivers and mountain ranges) on the spread of diseases across a diverse landscape in order to design effective, geographically specific public health responses.