Spatial Epidemiology of Syphilis and Gonorrhea in North Carolina

北卡罗来纳州梅毒和淋病的空间流行病学

基本信息

批准号：
7844825
负责人：
WILLIAM C MILLER
金额：
$ 34.2万
依托单位：
UNIV OF NORTH CAROLINA CHAPEL HILL
依托单位国家：
美国
项目类别：
财政年份：
2006
资助国家：
美国
起止时间：
2006-06-01 至 2012-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7844825
关键词：
Address Area Case Study Censuses Characteristics Code Communities Country County Data Data Collection Development Disease Disease Outbreaks Early identification Endemic Diseases Ensure Entropy Environment Epidemic Epidemiology Future Geographic Locations Gonorrhea Health Heterogeneity Incidence Infection Intervention Investigation Life Location Management Information Systems Maps Measures Methods Modeling Monitor North Carolina Outcome Pathway Analysis Pattern Performance Population Procedures Process Program Evaluation Public Health Reporting Rest Risk Rural Sexual Partners Sexually Transmitted Diseases Southeastern United States Specific qualifier value Staging Statistical Models Structure Syphilis Time United States United States Dept. of Health and Human Services Variant Work analytical method base density improved insight metropolitan prevent rural area spatiotemporal statistics surveillance data time interval tool transmission process urban area

项目摘要

DESCRIPTION (provided by applicant): Sexually transmitted infections (STI) remain highly endemic in the southeast United States. Unlike most of the rest of the US, STIs in the southeast are prevalent in both urban and rural areas. Controlling STIs requires a combination of ongoing sustained efforts and rapid intervention during outbreaks. Previously, spatial representations of STI have provided useful information for surveillance and targeted intervention, while simultaneously providing important clues regarding STI epidemiology. For example, geographical core areas, a phenomenon described over 20 years ago, remains an important construct today. Despite these important contributions of spatial representations of STIs, most applications of spatial statistics in STI epidemiology have been relatively rudimentary and based solely in urban areas. We propose to use modern geostatistical methods to develop improved methods of STI surveillance and investigate core areas of transmission. Specifically, our aims are 1 )To develop and evaluate a spatiotemporal model to monitor reported STIs and identify outbreaks at an early stage, using syphilis and gonorrhea as examples; 2) To characterize the spatial pattern of syphilis incidence rates and case densities during a known outbreak extending across two rural counties and to relate this pattern to a sexual network analysis; and 3) To evaluate the concept of geographical core, or risk space, for gonorrhea in rural and urban areas and at multiple spatial scales. To address these aims, we will use existing and routinely collected surveillance data for syphilis and gonorrhea. Our primary strategy will use Bayesian Maximum Entropy models, incorporating both spatial and temporal data. We will also assess other methods to determine the most efficient strategies for evaluating outbreaks and representing network structure spatially. We introduce and evaluate a new spatial measure, termed the "transmission potential", which combines aspects of incidence rate and case density. Our development and application of these spatial methods will improve surveillance procedures and provide a modeling procedure generalizable throughout the U.S. Use of these procedures will facilitate targeted interventions to reduce the burden of these important diseases. Furthermore, we will obtain critical, new information regarding STI epidemiology in southeastern U.S., a region with disproportionate burden of these infections.

描述（由申请人提供）：性传播感染（STI）在美国东南部仍然高度流行。与美国其他大部分地区不同，东南部的性传播感染在城市和农村地区都很流行。控制性传播感染需要持续不断的努力和疫情爆发期间的快速干预相结合。此前，性传播感染的空间表征为监测和有针对性的干预提供了有用的信息，同时提供了有关性传播感染流行病学的重要线索。例如，地理核心区域这一 20 多年前描述的现象至今仍然是一个重要的概念。尽管性传播感染的空间表征做出了这些重要贡献，但空间统计在性传播感染流行病学中的大多数应用还相对初级，并且仅基于城市地区。我们建议使用现代地统计方法来开发改进的性传播感染监测方法并调查传播的核心区域。具体来说，我们的目标是 1）开发和评估时空模型，以监测报告的性传播感染并在早期阶段识别疫情，以梅毒和淋病为例； 2) 描述跨越两个农村县的已知疫情期间梅毒发病率和病例密度的空间模式，并将该模式与性网络分析联系起来； 3) 评估农村和城市地区以及多个空间尺度的淋病地理核心或风险空间的概念。为了实现这些目标，我们将使用现有的和常规收集的梅毒和淋病监测数据。我们的主要策略将使用贝叶斯最大熵模型，结合空间和时间数据。我们还将评估其他方法，以确定评估疫情和空间表示网络结构的最有效策略。我们引入并评估了一种新的空间测量方法，称为“传播潜力”，它结合了发病率和病例密度等方面。我们对这些空间方法的开发和应用将改进监测程序，并提供可在整个美国推广的建模程序。这些程序的使用将有助于有针对性的干预措施，以减轻这些重要疾病的负担。此外，我们将获得有关美国东南部性传播感染流行病学的重要新信息，该地区的感染负担尤为严重。

项目成果

期刊论文数量（11）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Log Gaussian Cox processes and spatially aggregated disease incidence data.

记录高斯 Cox 处理和空间聚合的疾病发病率数据。

DOI：
发表时间：
2012-10
期刊：
影响因子：
2.3
作者：
Li, Ye;Brown, Patrick;Gesink, Dionne C;Rue, Havard
通讯作者：
Rue, Havard

Mapping health data: improved privacy protection with donut method geomasking.

绘制健康数据：通过甜甜圈法地理屏蔽改进隐私保护。

DOI：
发表时间：
2010-11-01
期刊：
影响因子：
5
作者：
Hampton, Kristen H;Fitch, Molly K;Allshouse, William B;Doherty, Irene A;Gesink, Dionne C;Leone, Peter A;Serre, Marc L;Miller, William C
通讯作者：
Miller, William C

Decreasing age disparities in syphilis and gonorrhea incidence rates in the United States, 1981--2005.

1981 年-2005 年美国梅毒和淋病发病率的年龄差异不断缩小。